HIIT Publications

Below you can find statistics of HIIT publications in 2010-2017 and the full list of publications for 2017. The publications of the two new programmes that were started during 2017, FCAI and HiDATA, are not included (which is consistent with the funding figures given).

In 2017, Aalto University and the University of Helsinki produced 49 joint publications in the field of IT. Of these joint publications, 42 (86%) can be found on the list below, confirming the expectation that the majority of the joint research of the two universities is done within the framework of HIIT.

Publications 2010 2011 2012 2013 2014 2015 2016 2017
Articles in international scientific
journals with referee practice
69 79 81 101 122 128 129 181
Articles in international edited works and
conference proceedings with referee practice
153 134 128 137 152 161 169 187
Scientific monographs and edited books 8 9 8 5 10 12 4 5
Other publications 25 29 31 16 13 9 13 20
Computer programs and algorithms 10 8 3 2 3 10 4 4
Doctoral theses 10 7 10 18 22 20 22 15
Total 275 266 261 279 322 340 341 412
HIIT publications 2010-2017.

Publications in 2017

Articles in international scientific journals with referee practice
  1. Hussein M. Abkallo, Axel Martinelli, Megumi Inoue, Abhinay Ramaprasad, Phonepadith Xangsayarath, Jesse Gitaka, Jianxia Tang, Kazuhide Yahata, Augustin Zoungrana, Hayato Mitaka, Arita Acharjee, Partha P. Datta, Paul Hunt, Richard Carter, Osamu Kaneko, Ville Mustonen, Christopher J. R. Illingworth, Arnab Pain, and Richard Culleton. Rapid identification of genes controlling virulence and immunity in malaria parasites. PLoS Pathogens, 13(7), 7 2017.
  2. Tero Aittokallio, Andreas Scherer, Matti Poutanen, and Leonard P. Freedman. Matched preclinical designs for improved translatability. Science translational medicine, 9(389), 5 2017.
  3. Tuomas Alakörkkö, Heini Saarimäki, Enrico Glerean, Jari Saramäki, and Onerva Korhonen. Effects of spatial smoothing on functional brain networks. European Journal of Neuroscience, 46(9):2471–2480, 2017.
  4. Talayeh Aledavood, Ana Triana Hoyos, Tuomas Alakörkkö, Kimmo Kaski, Jari Saramäki, Erkki Isometsä, and Richard Darst. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols, 6(6), 6 2017.
  5. Rajeev Alur and Stavros Tripakis. Automatic Synthesis of Distributed Protocols. ACM SIGACT News, 48(1):55-90, 2017.
  6. Michael Riis Andersen, Aki Vehtari, Ole Winther, and Lars Kai Hansen. Bayesian inference for spatio-temporal spike-and-slab priors. Journal of Machine Learning Research, 18:1-58, 12 2017.
  7. Chloé Agathe Azencott, Tero Aittokallio, Sushmita Roy, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Anna Goldenberg, Ankit Agrawal, Emmanuel Barillot, Nikolai Bessonov, Deborah Chasman, Urszula Czerwinska, Alireza Fotuhi Siahpirani, Jan Greenberg, Manuel Huber, Samuel Kaski, Christoph Kurz, Marsha Mailick, Michael Merzenich, Nadya Morozova, Arezoo Movaghar, Mor Nahum, Torbjörn E.M. Nordling, Robert Penner, Krishanu Saha, Asif Salim, Siamak Sorooshyari, Vassili Soumelis, Alit Stark-Inbar, Audra Sterling, S. S. Shiju, Jing Tang, Alen Tosenberger, Thomas Van Vieet, Krister Wennerberg, and Andrey Zinovyev. The inconvenience of data of convenience: Computational research beyond post-mortem analyses. Nature Methods, 14(10):937-938, 10 2017.
  8. Oswald Barral, Pedram Daee, Baris Serim, Markus Wenzel, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Benjamin Blankertz, Samuel Kaski, and Giulio Jacucci. Real-Time Implicit Relevance Feedback from Brain Activity for Interactive Information Retrieval. Journal of the Association for Information Science and Technology, 2017.
  9. Christian Benner, Aki S. Havulinna, Marjo-Riitta Järvelin, Veikko Salomaa, Samuli Ripatti, and Matti Pirinen. Prospects of Fine-Mapping Trait-Associated Genomic Regions by Using Summary Statistics from Genome-wide Association Studies. American Journal of Human Genetics, 101(4):539-551, 10 2017.
  10. Jeremias Berg and Matti Järvisalo. Cost-optimal constrained correlation clustering via weighted partial Maximum Satisfiability. Artificial Intelligence, 244:110-142, 3 2017.
  11. Sahely Bhadra, Samuel Kaski, and Juho Rousu. Multi-view kernel completion. Machine Learning, 106(5):713–739, 5 2017.
  12. Andreas Björklund, Thore Husfeldt, Petteri Kaski, and Mikko Koivisto. Narrow sieves for parameterized paths and packings. Journal of Computer and System Sciences, 87:119-139, 8 2017.
  13. Andreas Björklund, Petteri Kaski, and Lukasz Kowalik. Counting thin subgraphs via packings faster than meet-in-the-middle time. ACM Transactions on Algorithms, 13(4):1-26, 9 2017.
  14. Daria Bulanova, Aleksandr Ianevski, Andrii Bugai, Yevhen Akimov, Suvi Kuivanen, Henrik Paavilainen, Laura Kakkola, Jatin Nandania, Laura Turunen, Tiina Ohman, Hanna Ala-Hongisto, Hanna M. Pesonen, Marika S. Kuisma, Anni Honkimaa, Emma L. Walton, Valentyn Oksenych, Martina B. Lorey, Dmitry Guschin, Jungmin Shim, Jinhee Kim, Thoa T. Than, So Young Chang, Veijo Hukkanen, Evgeny Kulesskiy, Varpu S. Marjomaki, Ilkka Julkunen, Tuula A. Nyman, Sampsa Matikainen, Jani S. Saarela, Famara Sane, Didier Hober, Guelsah Gabriel, Jef K. De Brabander, Miika Martikainen, Marc P. Windisch, Ji-Young Min, Roberto Bruzzone, Tero Aittokallio, Markus Vaha-Koskela, Olli Vapalahti, Arto Pulk, Vidya Velagapudi, and Denis E. Kainov. Antiviral Properties of Chemical Inhibitors of Cellular Anti-Apoptotic Bcl-2 Proteins. Viruses, 9(10), 10 2017.
  15. Daria R. Bulanova, Yevhen A. Akimov, Anne Rokka, Teemu D. Laajala, Tero Aittokallio, Petri Kouvonen, Teijo Pellinen, and Sergey G. Kuznetsov. Orphan G protein-coupled receptor GPRC5A modulates integrin beta 1-mediated epithelial cell adhesion. Cell Adhesion & Migration, 11(5-6):434-446, 2017.
  16. Ayca Cankorur-Cetinkaya, Joao M. L. Dias, Jana Kludas, Nigel K. H. Slater, Juho Rousu, Stephen G. Oliver, and Duygu Dikicioglu. CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology. Microbiology, 163(6):829-839, 2017.
  17. Emre Celikten, Geraud Le Falher, and Michael Mathioudakis. Modeling Urban Behavior by Mining Geotagged Social Data. IEEE Transactions on Big Data, 3(2):220-233, 6 2017.
  18. Simone Centellegher, Eduardo López, Jari Saramäki, and Bruno Lepri. Personality traits and ego-network dynamics. PLoS ONE, 12(3):1-17, 3 2017.
  19. Himanshu Chheda, Priit Palta, Matti Pirinen, Shane McCarthy, Klaudia Walter, Seppo Koskinen, Veikko Salomaa, Mark Daly, Richard Durbin, Aarno Palotie, Tero Aittokallio, Samuli Ripatti, and Sequencing Initiative Suomi SISu P. Whole-genome view of the consequences of a population bottleneck using 2926 genome sequences from Finland and United Kingdom. European Journal of Human Genetics, 25(4):477-484, 4 2017.
  20. Marco Chiesa, Ilya Nikolaevskiy, Slobodan Mitrović, Andrei Gurtov, Aleksander Madry, Michael Shapira, and Scott Shenker. On the Resiliency of Static Forwarding Tables. IEEE-ACM Transactions on Networking, 25(2):1133-1146, 4 2017.
  21. Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, and Tero Aittokallio. Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. PLoS Computational Biology, 13(8), 8 2017.
  22. Maryse C. Cnossen, Jilske A. Huijben, Mathieu van der Jagt, Victor Volovici, Thomas van Essen, Suzanne Polinder, David Nelson, Ari Ercole, Nino Stocchetti, Giuseppe Citerio, Wilco C. Peul, Andrew I. R. Maas, David Menon, Ewout W. Steyerberg, Hester F. Lingsma, CENTER-TBI Investigators, Aarno Palotie, Matti Pirinen, Rahul Raj, and Samuli Ripatti. Variation in monitoring and treatment policies for intracranial hypertension in traumatic brain injury: a survey in 66 neurotrauma centers participating in the CENTER-TBI study. Critical Care, 21, 9 2017.
  23. Mauro Coletto, Kiran Garimella, Aristides Gionis, and Claudio Lucchese. Automatic controversy detection in social media: A content-independent motif-based approach. Online Social Networks and Media, 3-4(Supplement C):22-31, 2017.
  24. Jukka Corander, Christophe Fraser, Michael U. Gutmann, Brian Arnold, William P. Hanage, Stephen D. Bentley, Marc Lipsitch, and Nicholas J. Croucher. Frequency-dependent selection in vaccine-associated pneumococcal population dynamics. Nature Ecology & Evolution, 1(12):1950-1960, 12 2017.
  25. Fabio Cremona, Marten Lohstroh, David Broman, Edward A. Lee, Michael Masin, and Stavros Tripakis. Hybrid co-simulation: it’s about time. Software and Systems Modeling, 2017.
  26. James Cussens, Matti Järvisalo, Janne H. Korhonen, and Mark Bartlett. Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity. Journal of Artificial Intelligence Research, 58:185-229, 2017.
  27. Elena Czeizler, Tommi Hirvola, and Kalle Karhu. A Graph-Theoretical Approach for Motif Discovery in Protein Sequences. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 14(1):121-130, 1 2017.
  28. Pedram Daee, Tomi Peltola, Marta Soare, and Samuel Kaski. Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Machine Learning, pages 1-22, 7 2017.
  29. Mike Daily, Antti Oulasvirta, and Jun Rekimoto. Technology for Human Augmentation. Computer, 50(2):12-15, 2 2017.
  30. Tomasz Dzida, Mudassar Iqbal, Iryna Charapitsa, George Reid, Henk Stunnenberg, Filomena Matarese, Korbinian Grote, Antti Honkela, and Magnus Rattray. Predicting stimulation-dependent enhancer-promoter interactions from ChIP-Seq time course data. PeerJ, 5, 9 2017.
  31. Ralf Eggeling, Ivo Grosse, and Jan Grau. InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites. Bioinformatics, 33(4):580-582, 2 2017.
  32. Ruediger Ehlers, Stephane Lafortune, Stavros Tripakis, and Moshe Vardi. Supervisory Control and Reactive Synthesis: A Comparative Introduction. Discrete Event Dynamic Systems, 27(2):209–260, 6 2017.
  33. Thomas Eiter and Antonius Weinzierl. Preference-based inconsistency management in multi-context systems. Journal of Artificial Intelligence Research, 60:347-424, 10 2017.
  34. Benjamin Finley, Eren Boz, Kalevi Kilkki, Jukka Manner, Antti Oulasvirta, and Heikki Hämmäinen. Does network quality matter?: A field study of mobile user satisfaction. Pervasive and Mobile Computing, 39:80-99, 8 2017.
  35. Huber Flores, Pan Hui, Petteri Nurmi, Eemil Lagerspetz, Sasu Tarkoma, Jukka Manner, Vassilis Kostakos, Yong Li, and Xiang Su. Evidence-aware Mobile Computational Offloading. IEEE Transactions on Mobile Computing, 11 2017.
  36. Huber Flores, Rajesh Sharma, Denzil Ferreira, Vassilis Kostakos, Jukka Manner, Sasu Tarkoma, Pan Hui, and Yong Li. Social-aware Hybrid Mobile Offloading. Pervasive and Mobile Computing, 36:25-43, 4 2017.
  37. Travis Gagie, Aleksi Hartikainen, Kalle Karhu, Juha Kärkkäinen, Gonzalo Navarro, Simon J. Puglisi, and Jouni Sirén. Document retrieval on repetitive string collections. Information Retrieval Journal, 20(3):253-291, 6 2017.
  38. Travis Gagie, Giovanni Manzini, and Daniel Valenzuela. Compressed Spaced Suffix Arrays. Mathematics in Computer Science, 11(2):151-157, 6 2017.
  39. Andrew Gelman and Aki Vehtari. Comment: Consensus Monte Carlo using expectation propagation. Brazilian Journal of Probability and Statistics, 31(4):692-696, 2017.
  40. Andrew Gelman, Aki Vehtari, Pasi Jylänki, Tuomas Sivula, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, and Christian Robert. Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data. Statistical Science, 2017.
  41. Aristides Gionis, Michael Mathioudakis, and Antti Ukkonen. Bump Hunting in the Dark: Local Discrepancy Maximization on Graphs. IEEE Transactions on Knowledge and Data Engineering, 29(3):529-542, 3 2017.
  42. Jain Gu, Sungmin Lee, Jari Saramäki, and Petter Holme. Ranking influential spreaders is an ill-defined problem. EPL, 118(6):1-5, 6 2017.
  43. Justin Guinney, Tao Wang, Teemu D. Laajala, Kimberly Kanigel Winner, J. Christopher Bare, Elias Chaibub Neto, Suleiman A. Khan, Gopal Peddinti, Antti Airola, Tapio Pahikkala, Tuomas Mirtti, Thomas Yu, Brian M. Bot, Liji Shen, Kald Abdallah, Thea Norman, Stephen Friend, Gustavo Stolovitzky, Howard Soule, Christopher J. Sweeney, Charles J. Ryan, Howard I. Scher, Oliver Sartor, Yang Xie, Tero Aittokallio, Fang Liz Zhou, James C. Costello, and Prostate Canc Challenge DREAM Comm. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncology, 18(1):132-142, 1 2017.
  44. Mehmet Gönen, Barbara A. Weir, Glenn S. Cowley, Francisca Vazquez, Yuanfang Guan, Alok Jaiswal, Masayuki Karasuyama, Vladislav Uzunangelov, Tao Wang, Aviad Tsherniak, Sara Howell, Daniel Marbach, Bruce Hoff, Thea C. Norman, Antti Airola, Adrian Bivol, Kerstin Bunte, Daniel Carlin, Sahil Chopra, Alden Deran, Kyle Ellrott, Peddinti Gopalacharyulu, Kiley Graim, Samuel Kaski, Suleiman A. Khan, Yulia Newton, Sam Ng, Tapio Pahikkala, Evan Paull, Artem Sokolov, Hao Tang, Jing Tang, Krister Wennerberg, Yang Xie, Xiaowei Zhan, Fan Zhu, Tero Aittokallio, Hiroshi Mamitsuka, Joshua M. Stuart, Jesse S. Boehm, David E. Root, Guanghua Xiao, Gustavo Stolovitzky, William C. Hahn, Adam A. Margolin, and Broad-DREAM Community. A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems, 5(5):485-+, 11 2017.
  45. Mika Göös, Juho Hirvonen, and Jukka Suomela. Linear-in-Δ lower bounds in the LOCAL model. Distributed Computing, 30(5):325-338, 2017.
  46. Ulla-Maija Haltia, Noora Andersson, Bhagwan Yadav, Anniina Farkkila, Evgeny Kulesskiy, Matti Kankainen, Jing Tang, Ralf Butzow, Annika Riska, Arto Leminen, Markku Heikinheimo, Olli Kallioniemi, Leila Unkila-Kallio, Krister Wennerberg, Tero Aittokallio, and Mikko Anttonen. Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxel in ovarian granulosa cell tumor cells. Gynecologic Oncology, 144(3):621-630, 3 2017.
  47. Pertti Hari, Tuomas Aakala, Juho Aalto, Jaana Bäck, Jaakko Hollmén, Kalev Jõgiste, Kourosh Kabiri Koupaei, Mika A. Kähkönen, Mikko Korpela, Liisa Kulmala, Eero Nikinmaa, Jukka Pumpanen, Mirja Salkinoja-Salonen, Pauliina Schiestl-Aalto, Asko Simojoki, and Mikko Havimo. Newtonian boreal forest ecology: The Scots pine ecosystem as an example. PLoS ONE, 12(6):1-27, 6 2017.
  48. Pertti Hari, Tuomas Aakala, Emmi Hilasvuori, Risto Hakkinen, Atte Korhola, Mikko Korpela, Tapio Linkosalo, Harri Makinen, Eero Nikinmaa, Pekka Nöjd, Heikki Seppa, Mika Sulkava, Juhani Terhivuo, Heikki Tuomenvirta, Jan Weckstrom, and Jaakko Hollmen. Reliability of temperature signal in various climate indicators from northern Europe. PLoS ONE, 12(6):1-20, 6 2017.
  49. Ville J. Harjunen, Imtiaj Ahmed, Giulio Jacucci, Niklas Ravaja, and Michiel M. Spapé. Manipulating Bodily Presence Affects Cross-Modal Spatial Attention: A Virtual-Reality-Based ERP Study. Frontiers in Human Neuroscience, 11, 2 2017.
  50. Ville Johannes Harjunen, Michiel Spape, Imtiaj Ahmed, Giulio Jacucci, and Jaakko Niklas Ravaja. Individual differences in affective touch: Behavioral inhibition and gender define how an interpersonal touch is perceived. Personality and Individual Differences, 107:88-95, 2017.
  51. Chen He, Luana Micallef, Zia ur Rehman Tanoli, Samuel Kaski, Tero Aittokallio, and Giulio Jacucci. MediSyn: uncertainty-aware visualization of multiple biomedical datasets to support drug treatment selection. BMC Bioinformatics, 18, 2017.
  52. Alice Héliou, Solon P. Pissis, and Simon J. Puglisi. emMAW: computing minimal absent words in external memory. Bioinformatics, 33(17):2746-2749, 9 2017.
  53. Mohammad Ashraful Hoque, Matti Siekkinen, Jonghoe Koo, and Sasu Tarkoma. Full Charge Capacity and Charging Diagnosis of Smartphone Batteries. IEEE Transactions on Mobile Computing, 16(11):3042-3055, 11 2017.
  54. Haruo Hosoya and Aapo Hyvärinen. A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing. PLoS Computational Biology, 13(7), 7 2017.
  55. Antti Hyttinen, Sergey Plis, Matti Järvisalo, Frederick Eberhardt, and David Danks. A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data. International Journal of Approximate Reasoning, 90:208-225, 11 2017.
  56. Aleksandr Ianevski, Liye He, Tero Aittokallio, and Jing Tang. SynergyFinder: a web application for analyzing drug combination dose-response matrix data. Bioinformatics, 33(15):2413-2415, 8 2017.
  57. Lotta Immeli, Sture Andersson, Markus Leskinen, Emmi Vuorinen, Olli Pekka Rinta-Koski, and Päivi Luukkainen. Improved postnatal growth of extremely low-birthweight boys over the last two decades. Acta Paediatrica, 106(4):676–679, 4 2017.
  58. Hasan M.A. Islam, Dimitris Chatzopoulos, Dmitrij Lagutin, Pan Hui, and Antti Yla-Jaaski. Boosting the Performance of Content Centric Networking Using Delay Tolerant Networking Mechanisms. IEEE Access, 5:23858-23870, 10 2017.
  59. Niklas Jahnsson, Brandon Malone, and Petri Myllymäki. Duplicate Detection for Bayesian Network Structure Learning. New Generation Computing, 35(1):47-67, 1 2017.
  60. Alok Jaiswal, Gopal Peddinti, Yevhen Akimov, Krister Wennerberg, Sergey Kuznetsov, Jing Tang, and Tero Aittokallio. Seed-effect modeling improves the consistency of genome-wide loss-of-function screens and identifies synthetic lethal vulnerabilities in cancer cells. Genome medicine, 9, 6 2017.
  61. Tomi Janhunen, Martin Gebser, Jussi Rintanen, Henrik Nyman, Johan Pensar, and Jukka Corander. Learning discrete decomposable graphical models via constraint optimization. Statistics and Computing, 27(1):115-130, 1 2017.
  62. Tomi Janhunen, Roland Kaminski, Max Ostrowski, Sebastian Schellhorn, Philipp Wanko, and Torsten Schaub. Clingo goes linear constraints over reals and integers. Theory and Practice of Logic Programming, 17(5-6):872-888, 2017.
  63. Aditya Jitta and Arto Klami. Partially hidden Markov models for privacy-preserving modeling of indoor trajectories. Neurocomputing, 266:196-205, 11 2017.
  64. Aditya Jitta and Arto Klami. Few-to-few Cross-domain Object Matching. Proceedings of Machine Learning Research, 73:176-187, 2017.
  65. Heikki Joensuu, Eva Wardelmann, Harri Sihto, Mikael Eriksson, Kirsten Sundby Hall, Annette Reichardt, Jörg T. Hartmann, Daniel Pink, Silke Cameron, Peter Hohenberger, Salah-Eddin Al-Batran, Marcus Schlemmer, Sebastian Bauer, Bengt Nilsson, Raija Kallio, Jouni Junnila, Aki Vehtari, and Peter Reichardt. Effect of KIT and PDGFRA mutations on survival in patients with gastrointestinal stromal tumors treated with adjuvant imatinib: An exploratory analysis of a randomized clinical trial. JAMA Oncology, 3(5):602-609, 2017.
  66. Aleck Johnsen, Ming Yang Kao, and Shinnosuke Seki. A manually-checkable proof for the NP-hardness of 11-color pattern self-assembly tileset synthesis. Journal of Combinatorial Optimization, 33(2):496–529, 2017.
  67. Marko Järvenpää, Michael Gutmann, Arijus Pleska, Aki Vehtari, and Pekka Marttinen. Efficient acquisition rules for model-based approximate Bayesian computation. Bayesian Analysis, 11 2017.
  68. Masayuki Karasuyama and Hiroshi Mamitsuka. Adaptive edge weighting for graph-based learning algorithms. Machine Learning, 106(2):307-335, 2017.
  69. Riikka Karjalainen, Tea Pemovska, Mihaela Popa, Minxia Liu, Komal K. Javarappa, Muntasir M. Majumder, Bhagwan Yadav, David Tamborero, Jing Tang, Dmitrii Bychkov, Mika Kontro, Alun Parsons, Minna Suvela, Mireia Mayoral Safont, Kimmo Porkka, Tero Aittokallio, Olli Kallioniemi, Emmet McCormack, Bjorn T. Gjertsen, Krister Wennerberg, Jonathan Knowles, and Caroline A. Heckman. JAK1/2 and BCL2 inhibitors synergize to counteract bone marrow stromal cell-induced protection of AML. Blood, 130(6):789-802, 8 2017.
  70. Jukka-Pekka Kauppi, Juha Pajula, Jari Niemi, Riitta Hari, and Jussi Tohka. Functional Brain Segmentation Using Inter-Subject Correlation in fMRI. Human Brain Mapping, 38(5):2643-2665, 5 2017.
  71. Sini Kerminen, Aki S. Havulinna, Garrett Hellenthal, Alicia R. Martin, Antti-Pekka Sarin, Markus Perola, Aarno Palotie, Veikko Salomaa, Mark J. Daly, Samuli Ripatti, and Matti Pirinen. Fine-Scale Genetic Structure in Finland. G3 – Genes genomes genetics, 7(10):3459-3468, 10 2017.
  72. Mohsin Khan and Valtteri Niemi. Privacy Enhanced Fast Mutual Authentication in 5G Network Using Identity Based Encryption. Journal of ICT Standardization, 5(1):69-90, 7 2017.
  73. J. Matias Kivikangas, Jan-Erik Lonnqvist, and Niklas Ravaja. Relationship of Moral Foundations to Political Liberalism-Conservatism and Left-Right Orientation in a Finnish Representative Sample. Social Psychology, 48(4):246-251, 8 2017.
  74. Jukka Kohonen. An improved lower bound for finite additive 2-bases. Journal of Number Theory, 174:518–524, 5 2017.
  75. Jukka Kohonen, Robin Rajamäki, and Visa Koivunen. Planar additive bases for rectangles. Electronic Journal of Combinatorics, 2017.
  76. Pekka Kohonen, Juuso A. Parkkinen, Egon L. Willighagen, Rebecca Ceder, Krister Wennerberg, Samuel Kaski, and Roland C. Grafstrom. A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury. Nature Communications, 8, 7 2017.
  77. Olli-Pekka Koistinen, Freyja B. Dagbjartsdóttir, Vilhjálmur Ásgeirsson, Aki Vehtari, and Hannes Jonsson. Nudged elastic band calculations accelerated with Gaussian process regression. Journal of Chemical Physics, 147(15):1-14, 10 2017.
  78. Jukka Kommeri, Tapio Niemi, and Jukka K. Nurminen. Energy efficiency of dynamic management of virtual cluster with heterogeneous hardware. Journal of Supercomputing, 73(5):1978–2000, 5 2017.
  79. Janne H. Korhonen, Kimmo Palin, Jussi Taipale, and Esko Ukkonen. Fast motif matching revisited: high-order PWMs, SNPs and indels. Bioinformatics, 33(4):514-521, 5 2017.
  80. Onerva Korhonen, Heini Saarimäki, Enrico Glerean, Mikko Sams, and Jari Saramäki. Consistency of Regions of Interest as nodes of fMRI functional brain networks. Network Neuroscience, 1(3):254-274, 2017.
  81. Orestis Kostakis and Panagotis Papapetrou. On searching and indexing sequences of temporal intervals. Data Mining and Knowledge Discovery, 31(3):809-850, 5 2017.
  82. Orestis Kostakis, Nikolaj Tatti, and Aristides Gionis. Discovering recurring activity in temporal networks. Data Mining and Knowledge Discovery, 31(6):1840–1871, 2017.
  83. Liisa Kulmala, Jesse Read, Pekka Nöjd, Cyrille B K Rathgeber, Henri E. Cuny, Jaakko Hollmén, and Harri Mäkinen. Identifying the main drivers for the production and maturation of Scots pine tracheids along a temperature gradient. Agricultural and Forest Meteorology, 232:210-224, 1 2017.
  84. Anna Emilia Kuosmanen, Tuukka Santeri Norri, and Veli Antti Tapani Mäkinen. Evaluating approaches to find exon chains based on long reads. Briefings in Bioinformatics, 1 2017.
  85. Kari Kähkönen and Keijo Heljanko. Testing Programs with Contextual Unfoldings. ACM Transactions on Embedded Computing Systems, 17(1):1-25, 11 2017.
  86. Juha Tapani Kärkkäinen and Dominik Kempa. Engineering a Lightweight External Memory Suffix Array Construction Algorithm. Mathematics in Computer Science, 11(2):137-149, 2017.
  87. Salla-Maaria Laaksonen, Matti Nelimarkka, Mari Tuokko, Mari Marttila, Arto Kekkonen, and Mikko Villi. Working the fields of big data: Using big-data-augmented online ethnography to study candidate–candidate interaction at election time. Journal of Information Technology and Politics, 14(2):110-131, 2017.
  88. Michael Laessig, Ville Mustonen, and Aleksandra M. Walczak. Predicting evolution. Nature Ecology & Evolution, 1(3), 3 2017.
  89. Tuukka Lehtiniemi. Personal Data Spaces: An Intervention in Surveillance Capitalism? Surveillance and Society, 15(5):626-639, 2017.
  90. Tuukka Lehtiniemi and Yki Kortesniemi. Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach. Big Data & Society, 4(2):1-11, 2017.
  91. Christoph Lenzen, Joel Rybicki, and Jukka Suomela. Efficient counting with optimal resilience. SIAM Journal on Computing, 46(4):1473-1500, 2017.
  92. Janne Leppä-Aho, Johan Pensar, Teemu Teppo Roos, and Jukka Corander. Learning Gaussian graphical models with fractional marginal pseudo-likelihood. International Journal of Approximate Reasoning, 83:21-42, 1 2017.
  93. Eemeli Leppäaho, Muhammad Ammad ud din, and Samuel Kaski. GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis. Journal of Machine Learning Research, 18:1-5, 2017.
  94. Jarno Lintusaari, Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, and Jukka Corander. Fundamentals and Recent Developments in Approximate Bayesian Computation. Systematic Biology, 66(1):E66-E82, 1 2017.
  95. Krista Longi, Teemu Pulkkinen, and Arto Klami. Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. Proceedings of Machine Learning Research, 77:391-406, 11 2017.
  96. Altti Maarala, Xiang Su, and Jukka Riekki. Semantic Reasoning for Context-Aware Internet of Things Applications. IEEE Internet of Things Journal, 4(2):461-473, 4 2017.
  97. D. Malani, A. Murumagi, B. Yadav, M. Kontro, S. Eldfors, A. Kumar, R. Karjalainen, M. M. Majumder, P. Ojamies, T. Pemovska, K. Wennerberg, C. Heckman, K. Porkka, M. Wolf, T. Aittokallio, and O. Kallioniemi. Enhanced sensitivity to glucocorticoids in cytarabine-resistant AML. Leukemia, 31(5):1187-1195, 5 2017.
  98. Eric Malmi, Sanjay Chawla, and Aristides Gionis. Lagrangian relaxations for multiple network alignment. Data Mining and Knowledge Discovery, 31(5):1331–1358, 2017.
  99. Brandon Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, and Petri Myllymäki. AS-ASL: Algorithm Selection with Auto-sklearn. Proceedings of Machine Learning Research, 79:19-22, 2017.
  100. S. Marchal, G. Armano, T. Gröndahl, K. Saari, Nidhi Singh, and N. Asokan. Off-the-Hook: An Efficient and Usable Client-Side Phishing Prevention Application. IEEE Transactions on Computers, 66(10):1717-1733, 10 2017.
  101. Abbas Mehrabidavoodabadi, Matti Siekkinen, and Antti Ylä-Jääski. QoE-Cost Optimal Caching in Mobile Edge Assisted Adaptive Video Streaming. IEEE Transactions on Mobile Computing, page 1, 11 2017.
  102. Luana Micallef, Gregorio Palmas, Antti Oulasvirta, and Tino Weinkauf. Towards Perceptual Optimization of the Visual Design of Scatterplots. IEEE Transactions on Visualization and Computer Graphics, 23(6):1588-1599, 2017.
  103. Tuomas Mirtti and Tero Aittokallio. Re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. European Urology, 72(3):E68-E69, 9 2017.
  104. Igor Mishkovski, Miroslav Mirchev, Sanja Scepanovic, and Ljupco Kocarev. Interplay Between Spreading and Random Walk Processes in Multiplex Networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 64(10):2761-2771, 10 2017.
  105. Rafal Mostowy, Nicholas J. Croucher, Cheryl P. Andam, Jukka Corander, William P. Hanage, and Pekka Marttinen. Efficient Inference of Recent and Ancestral Recombination within Bacterial Populations. Molecular Biology and Evolution, 34(5):1167-1182, 5 2017.
  106. Martin D. Muggli, Alexander Bowe, Noelle R. Noyes, Paul S. Morley, Keith E. Belk, Robert Raymond, Travis Gagie, Simon J. Puglisi, and Christina Boucher. Succinct colored de Bruijn graphs. Bioinformatics, 33(20):3181-3187, 10 2017.
  107. Jörg Müller, Antti Oulasvirta, and Roderick Murray-Smith. Control theoretic models of pointing. ACM Transactions on Computer-Human Interaction, 24(4), 8 2017.
  108. Veli Mäkinen, Valeria Staneva, Alexandru I. Tomescu, Daniel Valenzuela, and Sebastian Wilzbach. Interval scheduling maximizing minimum coverage. Discrete Applied Mathematics, 225:130-135, 7 2017.
  109. Masoud Naderpour, Tommi Meskanen, Andrew Paverd, and Valtteri Niemi. Auditable De-anonymization in V2X Communication. Journal of ICT Standardization, 5(1):51-106, 7 2017.
  110. Muhammad Anis Uddin Nasir, Aristides Gionis, Gianmarco De Francisci Morales, and Sarunas Girdzijauskas. Fully Dynamic Algorithm for Top-k Densest Subgraphs. Algorithms, 9(15):24, 2017.
  111. T. H. Nguyen, M. Di Francesco, and A. Yla-Jaaski. Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers. IEEE Transactions on Services Computing, 2017.
  112. Marko Niemelä, Juha-Pekka Kulmala, Jukka-Pekka Kauppi, Jukka Kosonen, and Sami Äyrämö. Prediction of active peak force using a multilayer perceptron. Sports Engineering, 20(3):213-219, 9 2017.
  113. Ilya Nikolaevskiy, Andrey Lukyanenko, and Andrei Gurtov. Nash Bargaining Solution Allocation is Not Suitable for Datacenter Jobs. International Game Theory Review, 19(1), 3 2017.
  114. Pekka Nojd, Mikko Korpela, Pertti Hari, Ullar Rannik, Mika Sulkava, Jaakko Hollmen, and Harri Makinen. Effects of precipitation and temperature on the growth variation of Scots pine-A case study at two extreme sites in Finland. Dendrochronologia, 46:35-45, 12 2017.
  115. Eugenio Omodeo, Alberto Policriti, and Alexandru I. Tomescu. Set-syllogistics meet combinatorics. MSCS : mathematical structures in computer science., 27(2 (Special Issue: XIV ICTCS)):296-310, 2 2017.
  116. Valeria Orso, Tuukka Ruotsalo, Jukka Leino, Luciano Gamberini, and Giulio Jacucci. Overlaying social information: The effects on users’ search and information-selection behavior. Information Processing & Management, 53(6):1269-1286, 11 2017.
  117. Antti Oulasvirta. On-Skin Interfaces. Computer, 50(10):16-18, 2017.
  118. Antti Oulasvirta. User Interface Design with Combinatorial Optimization. Computer, 50(1):40-47, 1 2017.
  119. Antti Oulasvirta, Anna Feit, Perttu Lähteenlahti, and Andreas Karrenbauer. Computational Support for Functionality Selection in Interaction Design. ACM Transactions on Computer-Human Interaction, 24(5):34:1-34:30, 10 2017.
  120. Antti Oulasvirta and Mahadev Satyanarayanan. Edge Computing & On-skin Interfaces. Computer, 50(10), 2017.
  121. Pekka Parviainen and Samuel Kaski. Learning structures of Bayesian networks for variable groups. International Journal of Approximate Reasoning, 88:110-127, 2017.
  122. Eli Parviainen and Jari Saramäki. Drawing clustered graphs by preserving neighborhoods. Pattern Recognition Letters, 100(Supplement C):174 – 180, 2017.
  123. Kitsuchart Pasupa and Sandor Szedmak. Utilising Kronecker Decomposition and Tensor-based Multi-view Learning to predict where people are looking in images. Neurocomputing, 248:80–93, 2017.
  124. Gopal Peddinti, Jeff Cobb, Loic Yengo, Philippe Froguel, Jasmina Kravic, Beverley Balkau, Tiinamaija Tuomi, Tero Aittokallio, and Leif Groop. Early metabolic markers identify potential targets for the prevention of type 2 diabetes. Diabetologia, 60(9):1740-1750, 9 2017.
  125. Maiju Pesonen, Jaakko Nevalainen, Steven Potter, Somnath Datta, and Susmita Datta. A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-generation Sequencing Count Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2 2017.
  126. Juho Piironen and Aki Vehtari. Sparsity information and regularization in the horseshoe and other shrinkage priors. Electronic Journal of Statistics, 11(2):5018-5051, 2017.
  127. Srinivas Pinisetty, Thierry Jéron, Stavros Tripakis, Yliès Falcone, Hervé Marchand, and Viorel Preoteasa. Predictive runtime verification of timed properties. Journal of Systems and Software, 132:353-365, 2017.
  128. Srinivas Pinisetty, Viorel Preoteasa, Stavros Tripakis, Thierry Jéron, Yliès Falcone, and Hervé Marchand. Predictive runtime enforcement. Formal Methods in System Design, 51(1):154–199, 2017.
  129. Srinivas Pinisetty, Partha S. Roop, Steven Smyth, Nathan Allen, Stavros Tripakis, and Reinhard Von Hanxleden. Runtime enforcement of cyber-physical systems. ACM Transactions on Embedded Computing Systems, 16(5s):1-25, 9 2017.
  130. Matti Pirinen, Christian Benner, Pekka Marttinen, Marjo-Riitta Jarvelin, Manuel A. Rivas, and Samuli Ripatti. biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements. Bioinformatics, 33(15):2405-2407, 8 2017.
  131. Itziar M. D. Posada, Benoit Lectez, Mukund Sharma, Christina Oetken-Lindholm, Laxman Yetukuri, Yong Zhou, Tero Aittokallio, and Daniel Abankwa. Rapalogs can promote cancer cell stemness in vitro in a Galectin-1 and H-ras-dependent manner. Oncotarget, 8(27):44550-44566, 7 2017.
  132. Ilya Potapov, Marko Järvenpää, Markku Åkerblom, Pasi Raumonen, and Mikko Kaasalainen. Bayes Forest: A data-intensive generator of morphological tree clones. GigaScience, 6(10):1-13, 2017.
  133. Olli Pekka Pulkka, Bengt Nilsson, Maarit Sarlomo-Rikala, Peter Reichardt, Mikael Eriksson, Kirsten Sundby Hall, Eva Wardelmann, Aki Vehtari, Heikki Joensuu, and Harri Sihto. SLUG transcription factor: A pro-survival and prognostic factor in gastrointestinal stromal tumour. British Journal of Cancer, 116(9):1195-1202, 4 2017.
  134. Jaakko Niklas Ravaja, Gary Bente, Jari Kätsyri, Mikko Salminen, and Tapio Takala. Virtual character facial expressions influence human brain and facial EMG activity in a decision-making game. IEEE Transactions on Affective Computing, PP(99), 2017.
  135. N. Ravaja, V. Harjunen, I. Ahmed, G. Jacucci, and M. M. Spapé. Feeling touched: Emotional modulation of somatosensory potentials to interpersonal touch. Scientific Reports, 7:1-11, 1 2017.
  136. Balaguru Ravikumar, Zaid Alam, Gopal Peddinti, and Tero Aittokallio. C-SPADE: a web-tool for interactive analysis and visualization of drug screening experiments through compound-specific bioactivity dendrograms. Nucleic Acids Research, 45(W1):W495-W500, 7 2017.
  137. Jesse Read, Luca Martino, and Jaakko Hollmén. Multi-label methods for prediction with sequential data. Pattern Recognition, 63:45-55, 3 2017.
  138. Jan Reineke, Christos Stergiou, and Stavros Tripakis. Basic Problems in Multi-View Modeling. Software and Systems Modeling, 2017.
  139. Polina Rozenshtein, Nikolaj Tatti, and Aristides Gionis. Finding dynamic dense subgraphs. ACM Transactions on Knowledge Discovery From Data, 11(3):1-30, 3 2017.
  140. Olli Saarikivi, Hernan Ponce de Leon, Kari Kähkönen, Keijo Heljanko, and Javier Esparza. Minimizing test suites with unfoldings of multithreaded programs. ACM Transactions on Embedded Computing Systems, 16(2):1-24, 2 2017.
  141. Dominik Sacha, Leishi Zhang, Michael Sedlmair, John A. Lee, Jaakko Peltonen, Daniel Weiskopf, Stephen C. North, and Daniel A. Keim. Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1):241-250, 1 2017.
  142. Khalid Saeed, Vesa-Pekka Rahkama, Samuli Eldfors, Dmitrii Bychkov, John Patrick Mpindi, Bhagwan Yadav, Lassi Olavi Paavolainen, Tero Antero Aittokallio, Caroline Akemi Heckman, Johan Krister Wennerberg, Antti Sakari Rannikko, Peter Horvath, Tuomas Kristian Mirtti, D Peehl, Olli-Pekka Kallioniemi, Päivi Kristiina Östling, and Taija Maria af Hällström. Comprehensive Drug Testing of Patient-derived Conditionally Reprogrammed Cells from Castration-resistant Prostate Cancer. European Urology, 71(3):319-327, 2017.
  143. Leena Salmela, Riku Walve, Eric Rivals, and Esko Ukkonen. Accurate self-correction of errors in long reads using de Bruijn graphs. Bioinformatics, 33(6):799-806, 3 2017.
  144. Juha Salmi, Olli-Pekka Koistinen, Enrico Glerean, Pasi Jylänki, Aki Vehtari, Iiro Jääskeläinen, Sasu Mäkelä, Lauri Nummenmaa, Katarina Nummi-Kuisma, Ilari Nummi, and Mikko Sams. Distributed neural signatures of natural audiovisual speech and music in the human auditory cortex. Neuroimage, 157:108-117, 8 2017.
  145. Mikko Salminen and Niklas Ravaja. The Positive Effects of Trait Emotional Intelligence during a Performance Review Discussion – A Psychophysiological Study. Frontiers in Psychology, 8(463):1-12, 3 2017.
  146. K. Santalahti, A. Havulinna, M. Maksimow, T. Zeller, S. Blankenberg, A. Vehtari, H. Joensuu, S. Jalkanen, V. Salomaa, and M. Salmi. Plasma levels of hepatocyte growth factor and placental growth factor predict mortality in a general population: a prospective cohort study. Journal of Internal Medicine, 282(4):340-352, 10 2017.
  147. Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno, and Aapo Hyvärinen. Simultaneous Estimation of Nongaussian Components and Their Correlation Structure. Neural Computation, 29(11):2887-2924, 11 2017.
  148. Sanja Scepanovic, Igor Mishkovski, Bruno Gonçalves, Trung Hieu Nguyen, and Pan Hui. Semantic homophily in online communication: Evidence from Twitter. Online Social Networks and Media, 2:1-18, 2017.
  149. Sanja Šćepanović, Martijn Warnier, and Jukka K. Nurminen. The role of context in residential energy interventions: A meta review. Renewable and Sustainable Energy Reviews, 77:1146–1168, 2017.
  150. Emma L. Schymanski, Christoph Ruttkies, Martin Krauss, Celine Brouard, Tobias Kind, Kai Duehrkop, Felicity Allen, Arpana Vaniya, Dries Verdegem, Sebastian Boecker, Juho Rousu, Huibin Shen, Hiroshi Tsugawa, Tanvir Sajed, Oliver Fiehn, Bart Ghesquiere, and Steffen Neumann. Critical Assessment of Small Molecule Identification 2016: automated methods. Journal of Cheminformatics, 9, 3 2017.
  151. Matti Siekkinen. Can You See What I See? Quality of Experience Measurements of Mobile Live Video Broadcasting. ACM Transactions on Multimedia Computing Communications and Applications, 11 2017.
  152. Matti Siekkinen, Enrico Masala, and Jukka Nurminen. Optimized Upload Strategies for Live Scalable Video Transmission from Mobile Devices. IEEE Transactions on Mobile Computing, 16(4):1059-1072, 4 2017.
  153. Antti Siirtola, Stavros Tripakis, and Keijo Heljanko. When do we not need complex assume-guarantee rules?. ACM Transactions on Embedded Computing Systems, 16(2):1-25, 1 2017.
  154. Marcin J. Skwark, Nicholas J. Croucher, Santeri Puranen, Claire Chewapreecha, Maiju Pesonen, Yingying Xu, Paul Turner, Simon R. Harris, Stephen B. Beres, James M. Musser, Julian Parkhill, Stephen D. Bentley, Erik Aurell, and Jukka Corander. Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis. PLOS Genetics, 13(2), 2 2017.
  155. Dmitry Smirnov, Fanny Lachat, Tomi Peltola, Juha Lahnakoski, Olli-Pekka Koistinen, Enrico Glerean, Aki Vehtari, Riitta Hari, Mikko Sams, and Lauri Nummenmaa. Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans. PLOS ONE, 12(12), 12 2017.
  156. Michiel Spape, Ville Harjunen, Imtiaj Ahmed, Giulio Jacucci, and Niklas Ravaja. Effects of touch on emotional face processing: A study of event-related potentials, facial EMG, and cardiac activity. Biological Psychology, 102:1-10, 4 2017.
  157. Minna Stenius, Ari Haukkala, Nelli Hankonen, and Niklas Ravaja. What Motivates Experts to Share? A Prospective Test of the Model of Knowledge-Sharing Motivation. Human Resource Management, 56(6):871-885, 2017.
  158. Nikolaj Tatti. Tiers for peers: a practical algorithm for discovering hierarchy in weighted networks. Data Mining and Knowledge Discovery, 31(3):702–738, 5 2017.
  159. Shisei Tei, Junya Fujino, Ryosaku Kawada, Kathryn F. Jankowski, Jukka-Pekka Kauppi, Wouter van den Bos, Nobuhito Abe, Genichi Sugihara, Jun Miyata, Toshiya Murai, and Hidehiko Takahashi. Collaborative roles of Temporoparietal Junction and Dorsolateral Prefrontal Cortex in Different Types of Behavioural Flexibility. Scientific Reports, 7, 7 2017.
  160. Jukka Teittinen, Markus Hiienkari, Indre Zliobaite, Jaakko Hollmen, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, and Lauri Koskinen. A 5.3 pJ/op approximate TTA VLIW tailored for machine learning. Microelectronics Journal, 61:106-113, 3 2017.
  161. Alexandru I. Tomescu and Paul Medvedev. Safe and Complete Contig Assembly Through Omnitigs. Journal of Computational Biology, 24(6):590-602, 6 2017.
  162. Aurora Elizabeth Tulilaulu, Matti Nelimarkka, Joonas Paalasmaa, Daniel Johnson, Dan Ventura, Petri Juhani Myllys, and Hannu Tauno Tapani Toivonen. Data Musicalization. ACM Transactions on Multimedia Computing Communications and Applications, 10 2017.
  163. Riku Turkki, Dmitrii Bychkov, Nina Linder, Jorma Isola, Heikki Tuomas Joensuu, and Johan Lundin. Exploration of tissue morphologies in breast cancer samples using unsupervised machine learning. Cancer Research, 77(13 Supplement):673, 7 2017.
  164. Muhammad Ammad ud din, Suleiman A. Khan, Krister Wennerberg, and Tero Aittokallio. Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression. Bioinformatics, 33(14):I359-I368, 7 2017.
  165. Anton E. Ussi, Martin de Kort, Nathan P. Coussens, Tero Aittokallio, and Marian Hajduch. In Search of System-Wide Productivity Gains – The Role of Global Collaborations in Preclinical Translation. Clinical and translational science, 10(6):423-425, 11 2017.
  166. Viivi Uurtio, João M Monteiro, Jaz Kandola, John Shawe-Taylor, Delmiro Fernandez-Reyes, and Juho Rousu. A Tutorial on Canonical Correlation Methods. ACM Computing Surveys, 50(6):1-33, 2017.
  167. Ignacio Vazquez-Garcia, Francisco Salinas, Jing Li, Andrej Fischer, Benjamin Barre, Johan Hallin, Anders Bergstrom, Elisa Alonso-Perez, Jonas Warringer, Ville Mustonen, and Gianni Liti. Clonal Heterogeneity Influences the Fate of New Adaptive Mutations. Cell Reports, 21(3):732-744, 10 2017.
  168. Aki Vehtari, Andrew Gelman, and Jonah Gabry. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Statistics and Computing, 27(5):1413–1432, 9 2017.
  169. Pia M. Villa, Pekka Marttinen, Jussi Gillberg, A. Inkeri Lokki, Kerttu Majander, Maija Riitta Ordén, Pekka Taipale, Anukatriina Pesonen, Katri Räikkönen, Esa Hämäläinen, Eero Kajantie, and Hannele Laivuori. Cluster analysis to estimate the risk of preeclampsia in the high-risk Prediction and Prevention of Preeclampsia and Intrauterine Growth Restriction (PREDO) study. PLOS ONE, 12(3):1-14, 3 2017.
  170. Tung Vuong, Giulio Jacucci, and Tuukka Ruotsalo. Watching inside the Screen: Digital Activity Monitoring for Task Recognition and Proactive Information Retrieval. Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 1(3), 9 2017.
  171. Johannes P. Wallner, Andreas Niskanen, and Matti Järvisalo. Complexity Results and Algorithms for Extension Enforcement in Abstract Argumentation. Journal of Artificial Intelligence Research, 60:1-40, 2017.
  172. Riku Walve, Leena Salmela, and Veli Mäkinen. Variant genotyping with gap filling. PLoS One, 12(9), 9 2017.
  173. Liang Wang, Gareth Tyson, Jussi Kangasharju, and Jon Crowcroft. Milking the Cache Cow With Fairness in Mind. IEEE/ACM Transactions on Networking, 25(5):2686-2700, 10 2017.
  174. Liuyang Wang, Emily R. Ko, James J. Gilchrist, Kelly J. Pittman, Anna Rautanen, Matti Pirinen, J. Will Thompson, Laura G. Dubois, Raymond J. Langley, Sarah L. Jaslow, Raul E. Salinas, D. Clayburn Rouse, M. Arthur Moseley, Salim Mwarumba, Patricia Njuguna, Neema Mturi, Thomas N. Williams, J. Anthony G. Scott, Adrian V. S. Hill, Christopher W. Woods, Geoffrey S. Ginsburg, Ephraim L. Tsalik, and Dennis C. Ko. Human genetic and metabolite variation reveals that methylthioadenosine is a prognostic biomarker and an inflammatory regulator in sepsis. Science Advances, 3(3), 3 2017.
  175. Mingjun Wang, Zheng Yan, and Valtteri Niemi. UAKA-D2D: Universal Authentication and Key Agreement Protocol in D2D Communications. Mobile Networks and Applications, 22(3):510-525, 6 2017.
  176. Lu Wei, Renaud Alexandre Pitaval, Jukka Corander, and Olav Tirkkonen. From random matrix theory to coding theory: Volume of a metric ball in unitary group. IEEE Transactions on Information Theory, 63(5):2814-2821, 5 2017.
  177. Fan Yang, Tao Li, Qifeng Zhou, and Han Xiao. Cluster ensemble selection with constraints. Neurocomputing, 235:59-70, 4 2017.
  178. Zhong Zheng, Lu Wei, Roland Speicher, Ralf R. Müller, Jyri Hämäläinen, and Jukka Corander. Asymptotic analysis of Rayleigh product channels: A free probability approach. IEEE Transactions on Information Theory, 63(3):1731-1745, 3 2017.
  179. Fang Zhou, Qiang Qu, and Hannu Toivonen. Summarisation of weighted networks. Journal of Experimental and Theoretical Artificial Intelligence, 29(5):1023-1052, 2017.
  180. Yuan Zou, Johan Pensar, and Teemu Roos. Representing local structure in Bayesian networks by Boolean functions. Pattern Recognition Letters, 95:73-77, 8 2017.
  181. Yuan Zou and Teemu Roos. On Model Selection, Bayesian Networks, and the Fisher Information Integral. New Generation Computing, 35(1):5-27, 1 2017.
Articles in international edited works and conference proceedings with referee practice
  1. Margareta Ackerman, Ashok Goel, Colin G. Johnson, Anna Jordanous, Carlos León, Rafael Pérez y Pérez, Hannu Toivonen, and Dan Ventura. Teaching Computational Creativity. In Ashok Goel, Anna Jordanous, and Alison Pease, editors, Proceedings of the 8th International Conference on Computational Creativity (ICCC’17), pages 9-16, Georgia, 6 2017. Georgia Institute of Technology.
  2. Homayun Afrabandpey, Tomi Peltola, and Samuel Kaski. Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, pages 265-269. Association for Computing Machinery, Inc, 7 2017.
  3. Imtiaj Ahmed, Ville Harjunen, Giulio Jacucci, Niklas Ravaja, and Michiel Spape. Total immersion: Designing for affective symbiosis in a virtual reality game with haptics, biosensors, and emotive agents. In Luciano Gamberini, Anna Spagnolli, Giulio Jacucci, Benjamin Blankertz, and Jonathan Freeman, editors, Symbiotic Interaction, Lecture Notes in Computer Science, pages 23-37, Switzerland, 2017. Springer.
  4. Bahar Alipahani, Leena Salmela, Simon J. Puglisi, Martin Muggli, and Christina Boucher. Disentangled long-read de Bruijn graphs via optical maps. In Russell Schwartz and Knut Reinert, editors, 17th International Workshop on Algorithms in Bioinformatics, WABI 2017, Leibniz International Proceedings in Informatics, pages 1:1-1:14, Germany, 2017. Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
  5. Khalid Alnajjar, Mika Hämäläinen, Hanyang Chen, and Hannu Toivonen. Expanding and Weighting Stereotypical Properties of Human Characters for Linguistic Creativity. In Ashok Goel, Anna Jordanous, and Alison Pease, editors, Proceedings of the 8th International Conference on Computational Creativity (ICCC’17), pages 25-32, Georgia, 6 2017. Georgia Institute of Technology.
  6. Salvatore Andolina, Hendrik Schneider, Joel Chan, Khalil Klouche, Giulio Jacucci, and Steven Dow. Crowdboard: Augmenting in-person idea generation with real-time crowds. In C and C 2017 – Proceedings of the 2017 ACM SIGCHI Conference on Creativity and Cognition, pages 106-118. Association for Computing Machinery, Inc, 6 2017.
  7. Albert Arockiasamy, Aristides Gionis, and Nikolaj Tatti. A combinatorial approach to role discovery. In Proceedings – 16th IEEE International Conference on Data Mining, ICDM 2016, IEEE International Conference on Data Mining, pages 787-792. Institute of Electrical and Electronics Engineers Inc., 1 2017.
  8. Kumaripaba Athukorala, Luana Micallef, Chao An, Aki Reijonen, Jaakko Peltonen, Tuukka Ruotsalo, and Giulio Jacucci. Visualizing Activity Traces to Support Collaborative Literature Searching. In VINCI ’17: Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, pages 45-52, United States, 8 2017. ACM.
  9. Frederick Ayala-Gomez, Bálint Daróczy, Michael Mathioudakis, András Benczúr, and Aristides Gionis. Where could we go? Recommendations for groups in location-based social networks. In WebSci 2017 – Proceedings of the 2017 ACM Web Science Conference, pages 93-102. Association for Computing Machinery, Inc, 6 2017.
  10. Fahiem Bacchus, Antti Hyttinen, Matti Järvisalo, and Paul Saikko. Reduced Cost Fixing in MaxSAT. In J. Christopher Beck, editor, Principles and Practice of Constraint Programming, Lecture Notes in Computer Science, pages 641-651, Switzerland, 2017. Springer International Publishing AG.
  11. Golnaz Badkobeh, Juha Kärkkäinen, Simon J. Puglisi, and Bella Zhukova. On Suffix Tree Breadth. In Gabriele Fici, Marinella Sciortino, and Rossano Venturini, editors, String Processing and Information Retrieval, Lecture Notes in Computer Science, pages 68-73, Switzerland, 9 2017. Springer.
  12. Tomas Balyo, Marijn J.H. Heule, and Matti Järvisalo. SAT Competition 2016: Recent Developments. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), Proceedings of the AAAI Conference on Artificial Intelligence, pages 5061-5063, United States, 7 2017. Association for the Advancement of Artificial Intelligence (AAAI).
  13. Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. Spapé, Manuel J. A. Eugster, Niklas Ravaja, Samuel Kaski, and Giulio Jacucci. BCI for physiological text annotation. In Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory, pages 9-13, United States, 3 2017. ACM.
  14. Suzan Bayhan, Liang Zeng, Jiasi Chen, Mario Di Francesco, Jussi Kangasharju, and Mung Chiang. Improving cellular capacity with white space offloading. In 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pages 1-8, United States, 2017. IEEE.
  15. Jeremias Berg and Matti Järvisalo. Weight-Aware Core Extraction in SAT-Based MaxSAT Solving. In J. Christopher Beck, editor, Principles and Practice of Constraint Programming, Lecture Notes in Computer Science, pages 652-670, Switzerland, 2017. Springer International Publishing AG.
  16. Jeremias Berg, Emilia Oikarinen, Matti Järvisalo, and Kai Puolamäki. Minimum-Width Confidence Bands via Constraint Optimization. In J. Christopher Beck, editor, Principles and Practice of Constraint Programming, Lecture Notes in Computer Science, pages 443-459, Switzerland, 2017. Springer International Publishing AG.
  17. Armin Biere, Tom van Dijk, and Keijo Heljanko. Hardware Model Checking Competition 2017. In Daryl Stewart and Georg Weissenbacher, editors, Proceedings of 2017 Formal Methods in Computer Aided Design, FMCAD 2017, page 9. IEEE, 10 2017.
  18. Andreas Björklund, Petteri Kaski, and Ioannis Koutis. Directed hamiltonicity and out-branchings via generalized laplacians. In 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017, Leibniz International Proceedings in Informatics, pages 1-14. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 7 2017.
  19. Jori Bomanson. Lp2normal — A normalization tool for extended logic programs. In Logic Programming and Nonmonotonic Reasoning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 222-228. Springer-Verlag, 2017.
  20. Rita Borgo, Bongshin Lee, Benjamin Bach, Sara Fabrikant, Radu Jianu, Andreas Kerren, Stephen Kobourov, Fintan McGee, Luana Micallef, Tatiana von Landesberger, Katrin Ballweg, Stephan Diehl, Paolo Simonetto, and Michelle Zhou. Crowdsourcing for Information Visualization: Promises and Pitfalls. In Daniel Archambault, Helen Purchase, and Tobias Hossfeld, editors, Evaluation in the Crowd: Crowdsourcing and Human-Centered Experiments, Lecture Notes in Computer Science, pages 96-138. SPRINGER, 2017.
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  115. Harrison Mfula and Jukka K. Nurminen. Adaptive root cause analysis for self-healing in 5G networks. In Proceedings – 2017 International Conference on High Performance Computing and Simulation, HPCS 2017, pages 136-143. IEEE, 9 2017.
  116. Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad ud din, Tomi Peltola, Marta Soare, Giulio Jacucci, and Samuel Kaski. Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17), International, 2017. ACM.
  117. Markus Miettinen, Samuel Marchal, Ibbad Hafeez, Ahmad-Reza Sadeghi, Nadarajah Asokan, and Sasu Arimo Olavi Tarkoma. IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT. In Kisung Lee and Ling Liu, editors, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), International Conference on Distributed Computing Systems, pages 2177-2184, United States, 6 2017. IEEE.
  118. Markus Mikael Miettinen, Samuel Marchal, Ibbad Hafeez, Tommaso Frassetto, Nadarajah Asokan, Sasu Arimo Olavi Tarkoma, and Ahmad-Reza Sadeghi. IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. In Kisung Lee and Ling Liu, editors, 2017 IEEE 37th International Conference on Distributed Computing Systems, International Conference on Distributed Computing Systems, pages 2511-2514, United States, 6 2017. IEEE.
  119. Nitinder Mohan, Pengyuan Zhou, Keerthana Govindaraj, and Jussi Kangasharju. Managing Data in Computational Edge Clouds. In MECOMM ’17 Proceedings of the Workshop on Mobile Edge Communications, pages 19-24, United States, 8 2017. ACM.
  120. Hanna Mäenpää, Samu Varjonen, Arto Hellas, Sasu Tarkoma, and Tomi Männistö. Assessing IoT projects in university education: A framework for problem-based learning. In 2017 IEEE/ACM 39th International Conference on Software Engineering, pages 37-46, United States, 5 2017. IEEE.
  121. Matti Nelimarkka, Antti Salovaara, Bryan Semaan, and Giulio Jacucci. Theory-Driven Collocated CMC: A Study of Collocated Mediated Interaction as a Public Sphere. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 4534-4547, United States, 5 2017. ACM.
  122. Marius Noreikis, Yu Xiao, and Antti Ylä-Jääski. QoS-oriented capacity planning for edge computing. In 2017 IEEE International Conference on Communications, ICC 2017, IEEE International Conference on Communications, United States, 7 2017. Institute of Electrical and Electronics Engineers Inc.
  123. Marius Noreikis, Yu Xiao, and Antti Ylä-Jääski. SeeNav: Seamless and Energy-Efficient Indoor Navigation using Augmented Reality. In Proceedings of the Thematic Workshops of ACM Multimedia 2017, pages 186-193. ACM, 10 2017.
  124. Thomas Nyman, Jan-Erik Ekberg, Lucas Davi, and N Asokan. CFI CaRE: Hardware-Supported Call and Return Enforcement for Commercial Microcontrollers. In Marc Dacier, Michael Bailey, Michalis Polychronakis, and Manos Antonakakis, editors, Research in Attacks, Intrusions, and Defenses, Lecture Notes in Computer Science, pages 259-284. Springer International Publishing, 9 2017.
  125. Frans Ojala, Ashwin Rao, Hannu Flinck, and Sasu Tarkoma. NoSQL stores for coreless mobile networks. In 2017 IEEE Conference on Standards for Communications and Networking (CSCN), pages 200-206, United States, 10 2017. IEEE.
  126. Ville Ollikainen and Valtteri Niemi. Evaluating the Performance and Privacy of a Token-Based Collaborative Recommender. In WI ’17: Proceedings of the International Conference on Web Intelligence, pages 1049-1053, United States, 2017. ACM.
  127. Valeria Orso, Alessandra Varotto, Stefano Rodaro, Anna Spagnolli, Giulio Jacucci, Salvatore Andolina, Jukka Leino, and Luciano Gamberini. A two-step, user-centered approach to personalized tourist recommendations. In Proceedings of the 12th Biannual Conference of the Italian SIGCHI Chapter, volume Part F131371. Association for Computing Machinery, 9 2017.
  128. Jörg Ott, Ljubica Kärkkäinen, Ermias Andargie Walelgne, Ari Keränen, Esa Hyytiä, and Jussi Kangasharju. On the sensitivity of geo-based content sharing to location errors. In 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS), pages 25-32, United States, 2017. IEEE.
  129. Antti Oulasvirta. Optimizing user interfaces for human performance. In Intelligent Human Computer Interaction – 9th International Conference, IHCI 2017, Proceedings, volume 10688 LNCS of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 3-7, Germany, 2017. Springer Verlag.
  130. Jaakko Peltonen, Kseniia Belorustceva, and Tuukka Ruotsalo. Topic-Relevance Map: Visualization for Improving Search Result Comprehension. In IUI ’17: Proceedings of the 22nd International Conference on Intelligent User Interfaces, pages 611-622, United States, 3 2017. ACM.
  131. Jaakko Peltonen, Kseniia Belorustceva, and Tuukka Ruotsalo. Improving Search Result Comprehension by Topic-Relevance Map Visualization. In Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion, IUI ’17 Companion, pages 149-152, New York, NY, USA, 2017. ACM.
  132. Jaakko Peltonen, Jonathan Strahl, and Patrik Floréen. Negative relevance feedback for exploratory search with visual interactive intent modelling. In Proceedings of the 22nd International Conference on Intelligent User Interfaces, pages 149-159, United States, 3 2017. ACM.
  133. Juho Piironen and Aki Vehtari. On the hyperprior choice for the global shrinkage parameter in the horseshoe prior. In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research. PMLR, 2017.
  134. Srinivas Pinisetty, Partha Roop, Steven Smyth, Stavros Tripakis, and Reinhard von Hanxleden. Runtime enforcement of reactive systems using synchronous enforcers. In Hakan Erdogmus and Klaus Havelund, editors, Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software, pages 80-89. ACM, 2017.
  135. Maria Pittou and Stavros Tripakis. Checking Multi-view Consistency of Discrete Systems with Respect to Periodic Sampling Abstractions. In Formal Aspects of Component Software, Lecture Notes in Computer Science, pages 73-91. Springer, 2017.
  136. Lidia Pivovarova, Llorenc Escoter, Arto Klami, and Roman Yangarber. HCS at SemEval-2017 Task 5: Sentiment detection in business news using convolutional neural networks. In 11th International Workshop on Semantic Evaluations (SemEval-2017), pages 842-846, International, 2017. Association for Computational Linguistics. Alternative title: HCS at SemEval-2017 Task 5: Polarity Detection in Business News Using Convolutional Neural Networks.
  137. Matteo Pozza, Ashwin Rao, Armir Bujari, Hannu Flinck, Claudio E. Palazzi, and Sasu Tarkoma. A refactoring approach for optimizing mobile networks. In 2017 IEEE International Conference on Communications (ICC 2017), pages 1-6, International, 11 2017. IEEE.
  138. Viorel Preoteasa, Iulia Dragomir, and Stavros Tripakis. Type inference of simulink hierarchical block diagrams in isabelle. In Formal Techniques for Distributed Objects, Components, and Systems – 37th IFIP WG 6.1 International Conference, FORTE 2017 Held as Part of the 12th International Federated Conference on Distributed Computing Techniques, DisCoTec 2017, Proceedings, volume 10321 LNCS of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 194-209. Springer, 2017.
  139. Alessandro Previti, Alexey Ignatiev, Matti Juhani Järvisalo, and Joao Marques-Silva. On Computing Generalized Backbones. In Proceedings of the IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI 2017), International, 2017. IEEE Computer Society.
  140. Alessandro Previti, Carlos Mencía, Matti Järvisalo, and Joao Marques-Silva. Improving MCS Enumeration via Caching. In Serge Gaspers and Toby Walsh, editors, Theory and Applications of Satisfiability Testing – SAT 2017, Lecture Notes in Computer Science, pages 184-194, Switzerland, 2017. Springer International Publishing AG.
  141. Joel Pyykkö and Dorota Glowacka. Interactive Content-Based Image Retrieval with Deep Neural Networks. In Luciano Gamberini, Anna Spagnolli, Giulio Jacucci, Benjamin Blankertz, and Jonathan Freeman, editors, Symbiotic Interaction, Lecture Notes in Computer Science, pages 77-88, Switzerland, 4 2017. Springer International Publishing AG.
  142. Joel Pyykkö and Dorota Glowacka. Dynamic Exploratory Search in Content-Based Image Retrieval. In Puneet Sharma and Filippo Maria Bianchi, editors, Image Analysis, Lecture Notes in Computer Science, pages 538-549, Switzerland, 5 2017. Springer International Publishing AG.
  143. Sara Ramezanian, Tommi Meskanen, Masoud Naderpour, and Valtteri Niemi. Private Membership Test Protocol with Low Communication Complexity. In Zheng Yan, Refik Molva, Wojciech Mazurczyk, and Raimo Kantola, editors, Network and System Security, Lecture Notes in Computer Science, pages 31-45, Switzerland, 7 2017. Springer International Publishing AG.
  144. Alireza Ranjbar, Miika Komu, Patrik Salmela, and Tuomas Aura. SynAPTIC: Secure and persistent connectivity for containers. In Proceedings – 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, pages 262-267, United States, 7 2017. Institute of Electrical and Electronics Engineers Inc.
  145. Kari Markus Juhani Rantanen, Antti Juhani Hyttinen, and Matti Juhani Järvisalo. Learning Chordal Markov Networks via Branch and Bound. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017 (NIPS), 2017.
  146. Sami Remes, Markus Heinonen, and Samuel Kaski. A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings. In Min-Ling Zhang and Yung-Kyun Noh, editors, Proceedings of the 9th Asian Conference on Machine Learning, Proceedings of Machine Learning Research, pages 455-470. PMLR, 11 2017.
  147. Sami Remes, Markus Heinonen, and Samuel Kaski. Non-Stationary Spectral Kernels. In Advances in Neural Information Processing Systems 30, pages 4645-4654. Curran Associates, Inc., 2017.
  148. Elena Reshetova, Filippo Bonazzi, and N. Asokan. Randomization can’t stop BPF JIT spray. In Network and System Security – 11th International Conference, NSS 2017, Proceedings, volume 10394 LNCS of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 233-247, Germany, 2017. Springer Verlag.
  149. Elena Reshetova, Filippo Bonazzi, and N. Asokan. SELint: An SEAndroid policy analysis tool. In ICISSP, pages 47-58, Portugal, 2017. SciTePress.
  150. Sirpa Riihiaho. Usability Testing. In Kent L. Norman and Jurek Kirakowski, editors, The Wiley Handbook of Human Computer Interaction, pages 255-275, United Kingdom, 12 2017. John Wiley & Sons Ltd.
  151. Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmen, and Sture Andersson. Prediction of preterm infant mortality with Gaussian process classification. In Proceedings of 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 193-198. ESANN, 2017.
  152. Olli-Pekka Rinta-Koski, Simo Sarkka, Jaakko Hollmen, Markus Leskinen, Krista Rantakari, and Sture Andersson. Prediction of major complications affecting very low birth weight infants. In 2017 IEEE Life Sciences Conference (LSC), pages 186-189, International, 2017. IEEE.
  153. Jussi Rintanen. Temporal Planning with Clock-Based SMT Encodings. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pages 743-749. AAAI, 2017.
  154. Jussi Rintanen. Schematic Invariants by Reduction to Ground Invariants. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), Proceedings of the AAAI Conference on Artificial Intelligence, pages 3644-3650. AAAI, 2017.
  155. Polina Rozenshtein, Nikolaj Tatti, and Aristides Gionis. The Network-Untangling Problem: From Interactions to Activity Timelines. In Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski, editors, Machine Learning and Knowledge Discovery in Databases, volume 1 of Lecture Notes in Computer Science, pages 701-716, Switzerland, 2017. Springer International Publishing AG.
  156. Polina Rozenshtein, Nikolaj Tatti, and Aristides Gionis. Inferring the strength of social ties: A community-driven approach. In KDD 2017 – Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, volume Part F129685, pages 1017-1025. Association for Computing Machinery, 8 2017.
  157. Jukka Ruohonen, Sanja Scepanovic, Sami Hyrynsalmi, Igor Mishkovski, Tuomas Aura, and Ville Leppanen. A post-mortem empirical investigation of the popularity and distribution of malware files in the contemporary web-facing internet. In Proceedings – 2016 European Intelligence and Security Informatics Conference, EISIC 2016, pages 144-147. Institute of Electrical and Electronics Engineers Inc., 3 2017.
  158. Olli Saarikivi and Margus Veanes. Minimization of symbolic transducers. In Computer Aided Verification – 29th International Conference, CAV 2017, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 176-196. Springer-Verlag, 2017.
  159. Olli Saarikivi and Margus Veanes. Translating C# to Branching Symbolic Transducers. In Thomas Eiter, David Sands, Geoff Sutcliffe, and Andrei Voronkov, editors, IWIL Workshop and LPAR Short Presentations, volume 1 of Kalpa Publications in Computing, pages 86-99. EasyChair, 6 2017.
  160. Olli Saarikivi, Margus Veanes, Todd Mytkowicz, and Madan Musuvathi. Fusing Effectful Comprehensions. In PLDI 2017 – Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, pages 17-32. Association for Computing Machinery (ACM), 2017.
  161. Joseph Sakaya and Arto Klami. Importance Sampled Stochastic Optimization for Variational Inference. In Gal Elidan and Kristian Kersting, editors, 33rd Conference on Uncertainty in Artificial Intelligence 2017, International, 8 2017. AUAI Press.
  162. Antti Salovaara, Antti Oulasvirta, and Giulio Jacucci. Evaluation of Prototypes and the Problem of Possible Futures. In CHI ’17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 2064-2077, United States, 5 2017. ACM.
  163. Sayan Sarcar, Jussi Jokinen, Antti Oulasvirta, Xiangshi Ren, Chaklam Silpasuwanchai, and Zhenxin Wang. Ability-based optimization: Designing smartphone text entry interface for older adults. In Human-Computer Interaction – INTERACT 2017 – 16th IFIP TC 13 International Conference, Proceedings, volume 10516 LNCS of Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 326-331. Springer Verlag, 2017.
  164. Sayan Sarcar, Cosmin Munteanu, Jussi P.P. Jokinen, Antti Oulasvirta, Chaklam Silpasuwanchai, Neil Charness, Mark Dunlop, and Xiangshi Ren. Designing mobile interactions for the ageing populations. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pages 506-509.
  165. Jan Seedorf, Dirk Kutscher, and Bilal Shaukat Gill. Decentralised interest counter aggregation for ICN in disaster scenarios. In 2016 IEEE Globecom Workshops, GC Wkshps 2016 – Proceedings. Institute of Electrical and Electronics Engineers Inc., 2 2017.
  166. Bariş Serim, Khalil Klouche, and Giulio Jacucci. Gaze-adaptive above and on-surface interaction. In DIS 2017 – Proceedings of the 2017 ACM Conference on Designing Interactive Systems, pages 115-127. Association for Computing Machinery, Inc, 6 2017.
  167. Eero Siivola, Aki Vehtari, Jarno Vanhatalo, and Javier Gonzalez. Bayesian optimization with virtual derivative sign observations. In Submitted, 2017.
  168. Alessio Silvestro, Roberto Bifulco, Fabian Schneider, Xiaoming Fu, and Jussi Kangasharju. Is Today’s DNS the Right Solution for Middleboxes Selection?. In Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms, Crosscloud’17, pages 6:1-6:2, New York, NY, USA, 2017. ACM.
  169. Alessio Silvestro, Roberto Bifulco, Fabian Schneider, Xiaoming Fu, and Jussi Kangasharju. MISE: MIddleboxes SElection for multi-domain service function chains. In CAN ’17: Proceedings of the 2nd Workshop on Cloud-Assisted Networking, pages 37-42, United States, 12 2017. ACM.
  170. Mats Sjöberg, Hung-Han Chen, Patrik Floréen, Markus Koskela, Kai Kuikkaniemi, Tuukka Lehtiniemi, and Jaakko Peltonen. Digital Me: Controlling and making sense of my digital footprint. In Luciano Gamberini, Anna Spagnolli, Giulio Jacucci, Benjamin Blankertz, and Jonathan Freeman, editors, Symbiotic Interaction, Lecture Notes in Computer Science, pages 155-167, Switzerland, 2017. Springer.
  171. Marta Soare, Muhammad Ammad-Ud-din, and Samuel Kaski. Regression with n → 1 by expert knowledge elicitation. In Proceedings – 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, pages 734-739. Institute of Electrical and Electronics Engineers Inc., 1 2017.
  172. Srinath Sridhar, Anders Markussen, Antti Oulasvirta, Christian Theobalt, and Sebastian Boring. WatchSense : On- and Above-Skin Input Sensing through a Wearable Depth Sensor. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pages 3891-3902. ACM SIGCHI, 2017.
  173. Topi Talvitie, Teppo Niinimäki, and Mikko Koivisto. The Mixing of Markov Chains on Linear Extensions in Practice. In Carles Sierra, editor, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), pages 524-530. International Joint Conferences on Artificial Intelligence, 2017.
  174. Sandeep Tamrakar, Jian Liu, Andrew Paverd, Jan-Erik Ekberg, Benny Pinkas, and N. Asokan. The circle game: Scalable private membership test using trusted hardware. In ASIA CCS 2017 – Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security, pages 31-44. Association for Computing Machinery, Inc, 4 2017.
  175. Nikolaj Tatti. Discovering bursts revisited: Guaranteed optimization of the model parameters. In Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017, pages 831-839, United States, 2017. Society for Industrial and Applied Mathematics Publications.
  176. Santosh Tirunagari, Simon C. Bull, Aki Vehtari, Christopher Farmer, Simon De Lusignan, and Norman Poh. Automatic detection of acute kidney injury episodes from primary care data. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers Inc., 2 2017.
  177. Kashyap Todi, Daryl Weir, and Antti Oulasvirta. Sketchplorer: A mixed-initiative tool for sketching and exploring interactive layout designs. In Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink , Marco Gillies , Jeremy Gow , Gillian Smith, Kate Compton , and Memo Akten, editors, Proceedings of the CHI’17 Workshop on Mixed-Initiative Creative Interfaces co-located with ACM CHI Conference on Human Factors in Computing Systems (CHI 2017), CEUR workshop proceedings. RWTH Aachen, 2017.
  178. Jarkko Toivonen, Jussi Taipale, and Esko Ukkonen. Seed-driven Learning of Position Probability Matrices from Large Sequence Sets. In Russell Schwartz and Knut Reinert, editors, 17th International Workshop on Algorithms in Bioinformatics (WABI 2017), Leibniz International Proceedings in Informatics (LIPIcs), Germany, 2017. Schloss Dagstuhl – Leibniz-Zentrum für Informatik.
  179. Radek Tomsu, S. Marchal, and N. Asokan. Profiling Users by Modeling Web Transactions. In Kisung Lee and Ling Liu, editors, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), International Conference on Distributed Computing Systems. Proceedings, pages 2399-2404. IEEE, 6 2017.
  180. Antti Ukkonen. Crowdsourced Correlation Clustering with Relative Distance Comparisons. In Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, and Xindong Wu, editors, Proceedings – 17th IEEE International Conference on Data Mining, pages 1117-1122, International, 12 2017. IEEE.
  181. Antti Ukkonen, Vladimir Dzyuba, and Matthijs van Leeuwen. Explaining Deviating Subsets Through Explanation Networks. In Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, and Saso Dzeroski, editors, Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Artificial Intelligence, pages 425-441, Switzerland, 12 2017. Springer International Publishing AG.
  182. Tung Vuong, Giulio Jacucci, and Tuukka Ruotsalo. Proactive Information Retrieval via Screen Surveillance. In SIGIR ’17 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1313-1316, United States, 8 2017. ACM.
  183. John Williamson, Antti Oulasvirta, Otmar Hilliges, and Per Ola Kristensson. Computational approaches to interaction design. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pages 1182-1185.
  184. Yu Xiao and Chao Zhu. Vehicular fog computing: Vision and challenges. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, pages 6-9. Institute of Electrical and Electronics Engineers Inc., 5 2017.
  185. Makoto Yamada, Takeuchi Koh, Tomoharu Iwata, John Shawe-Taylor, and Samuel Kaski. Localized Lasso for High-Dimensional Regression. In Aarti Singh and Jerry Zhu, editors, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research, pages 325-333. PMLR, 8 2017.
  186. Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, and Yi Chang. Convex factorization machine for toxicogenomics prediction. In KDD 2017 – Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 1215-1224. Association for Computing Machinery, 8 2017.
  187. Aleksandr Zavodovski, Suzan Bayhan, and Jussi Kangasharju. Data-Driven Analysis of Database-Assisted Spectrum Access for Mobile Users. In Proceedings of IEEE Infocom Workshop on Advances in Software Defined and Context-Aware Cognitive Networks, Atlanta, GA, USA, May 2017, 5 2017.
Scientific monographs and edited books
  1. Marcello Balduccini and Tomi Janhunen. Logic Programming and Nonmonotonic Reasoning: 14th International Conference, LPNMR 2017, Espoo, Finland, July 3-6, 2017, Proceedings. Lecture Notes in Artificial Intelligence. Springer, 2017.
  2. Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. Lecture Notes in Computer Science. Springer, 9 2017.
  3. Michelangelo Ceci, Jaakko Hollmen, Ljupčo Todorovski, Celine Vens, and Sašo Džeroski. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I. Lecture Notes in Computer Science. Springer International Publishing, 9 2017.
  4. Juha Kärkkäinen, Jakub Radoszewski, and Wojciech Rytter. 28th Annual Symposium on Combinatorial Pattern Matching: CPM 2017, July 4-6, 2017, Warsaw, Poland. Leibniz International Proceedings in Informatics (LIPIcs). Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Germany, 7 2017.
  5. Eugenio G. Omodeo, Alberto Policriti, and Alexandru I. Tomescu. On Sets and Graphs: Perspectives on Logic and Combinatorics. Springer International Publishing, International, 5 2017.
Other publications
  1. Anette Alen-Savikko. Kirjallisuutta: Analyysia ja visioita EU:n tietosuojasääntelystä. Reforming European Data Protection Law. Edited by Serge Gutwirth, Ronald Leenes & Paul de Hert. Springer 2015. XX + 406 s. Lakimies, (2), 2017.
  2. Anette Alen-Savikko. Ennaltaehkäisy, hyvinvointipalvelut ja työntekijän tietojen hyödyntäminen – katsaus tietosuojaan työterveydessä. In Päivi Korpisaari, editor, Viestintäoikeuden vuosikirja 2016, pages 94-111. University of Helsinki, 2017.
  3. Carlos Ansotegui, Fahiem Bacchus, Matti Järvisalo, and Ruben Martins. MaxSAT Evaluation 2017: Solver and Benchmark Descriptions, volume B-2017-2 of Series of Publications B. Department of Computer Science, University of Helsinki, Finland, 2017.
  4. Tomáš Balyo, Marijn J.H. Heule, and Matti Järvisalo. Proceedings of SAT Competition 2017: Solver and Benchmark Descriptions, volume B-2017-1 of Series of Publications B. Department of Computer Science, University of Helsinki, Finland, 2017.
  5. Fabio Cremona, Marten Lohstroh, David Broman, Stavros Tripakis, Edward A. Lee, and Michael Masin. Hybrid Co-simulation: It’s About Time. Workingpaper, University of California, Berkeley, United States, 4 2017.
  6. Ritabrata Dutta, Paul Blomstedt, and Samuel Kaski. Bayesian inference in hierarchical models by combining independent posteriors. Workingpaper, 2017.
  7. Ritabrata Dutta, Jukka Corander, Samuel Kaski, and Michael Gutmann. Likelihood-free inference by penalised logistic regression. Workingpaper, 2017.
  8. Karmen Dykstra, Juho Rousu, and Mikko Arvas. Predicting Protein Producibility In Filamentous Fungi. Workingpaper, Cold Spring Harbor Labs Journals, 2017.
  9. Patrik Floréen. I forskningens främsta led. In Uni på svenska, page 111, Finland, 1 2017. University of Helsinki.
  10. Harri Honko, Yki Kortesniemi, Jens Kremer, and Samuli Tuoriniemi. MyData Architecture Framework: Release 2.0. Helsinki Institute for Information Technology, 2017.
  11. Marko Järvenpää, Michael Gutmann, Aki Vehtari, and Pekka Marttinen. Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria. Extended abstract in NIPS workshop on machine learning in computational biology, 2017.
  12. Matti Nelimarkka and Reijo Sund. Viestinnän mittaaminen big datan avulla. In Elisa Juholin and Vilma Luoma-aho, editors, Mitattava viestintä, ProComma Academic, Suomi, 2017. ProCom – Viestinnän ammattilaiset ry.
  13. Topi Paananen, Juho Piironen, Michael Andersen, and Aki Vehtari. Model selection for Gaussian processes utilizing sensitivity of posterior predictive distribution. Workingpaper, arXiv.org, 12 2017.
  14. Olli Pitkänen. Oikeudet omiin sote-tietoihin. In Soile Pohjonen and Marika Noso, editors, Kansalainen keskiöön!, number 2 in Kunnallisalan kehittämissäätiön julkaisu, pages 50-56. KUNNALLISALAN KEHITTÄMISSÄÄTIÖ, 4 2017.
  15. Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, and Samuel Kaski. Distributed Bayesian Matrix Factorization with Minimal Communication. Workingpaper, 2017.
  16. Hannu Toivonen. Apriori Algorithm. In Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and Data Mining, page 60, United States, 4 2017. Springer, Boston, MA.
  17. Hannu Toivonen. Frequent Itemset. In Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and Data Mining, pages 523-524, United States, 4 2017. Springer, Boston, MA.
  18. Hannu Toivonen. Frequent Pattern. In Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and Data Mining, pages 524-529, United States, 4 2017. Springer, Boston, MA.
  19. Hannu Toivonen. Association Rule. In Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and Data Mining, pages 70-71, United States, 4 2017. Springer, Boston, MA.
  20. Hannu Toivonen. Basket Analysis. In Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Learning and Data Mining, page 98, United States, 4 2017. Springer, Boston, MA.
Computer programs and algorithms
  1. Tuomo Tapio Pietari Lehtonen, Johannes P. Wallner, and Matti Juhani Järvisalo. aba2af: A system for reasoning about acceptance in structured argumentation via abstract argumentation, 2017.
  2. Andreas Johannes Alexand Niskanen, Matti Juhani Järvisalo, and Johannes Wallner. Pakota (version 2017-05-31): A system for extension and status enforcement in abstract argumentation based on constraint optimization, 2017.
  3. Kari Markus Juhani Rantanen, Antti Juhani Hyttinen, and Matti Juhani Järvisalo. BBMarkov: a branch-and-bound approach to learning optimal decomposable graphs, 2017.
  4. Paul Henrik Alexander Saikko and Matti Juhani Järvisalo. LMHS 2017.
Doctoral theses
  1. Talayeh Aledavood. Temporal patterns of human behavior. PhD thesis, Aalto University, School of Science, 2017.
  2. Muhammad Ammad-ud-din. Machine learning methods for improving drug response prediction in cancer. PhD thesis, Aalto University, School of Science, 2017.
  3. Mian Du. Natural language processing system for business intelligence. PhD thesis, University of Helsinki, Department of Computer Science, 2017.
  4. Andreas Henelius. Exploring classifier attribute interactions and time series using constrained randomisations. PhD thesis, Aalto University, School of Science, 2017.
  5. Yi-Ta Hsieh. Exploring Hand-Based Haptic Interfaces for Mobile Interaction Design. PhD thesis, University of Helsinki, Department of Computer Science, 2017.
  6. Orestis Kostakis. Advances in Analysing Temporal Data. PhD thesis, Aalto University, School of Science, 2017.
  7. Anna Kuosmanen. Third-generation RNA-sequencing analysis: graph alignment and transcript assembly with long reads. PhD thesis, University of Helsinki, Department of Computer Science, 2017.
  8. Alberto Pessia. Bayesian cluster analysis with applications to pathogen population genomics. PhD thesis, University of Helsinki, Department of Mathematics and Statistics, 2017.
  9. Olli Saarikivi. Symbolic Methods for Transducers and Testing. PhD thesis, Aalto University, School of Science, 2017.
  10. Huibin Shen. Machine Learning for Small Molecule Identification. PhD thesis, Aalto University, School of Science, 2017.
  11. Konsta Sirvio. Advances in predictive maintenance planning of roads by empirical models. PhD thesis, Aalto University, School of Science, 2017.
  12. Sandeep Tamrakar. Applications of Trusted Execution Environments (TEEs). PhD thesis, Aalto University, School of Science, 2017.
  13. Daniel Valenzuela. Algorithms and Data Structures for Sequence Analysis in the Pan-Genomic Era. PhD thesis, University of Helsinki, Department of Computer Science, 2017.
  14. Tommi Vatanen. Metagenomic analyses of the human gut microbiome reveal connections to the immune system. PhD thesis, Aalto University, School of Science, 2017.
  15. Yuan Zou. On Model Selection for Bayesian Networks and Sparse Logistic Regression. PhD thesis, University of Helsinki, Department of Computer Science, 2017.