HIIT Publications

Below you can find statistics of HIIT publications in 2010-2019 and the full list of publications for 2019. The publications of the new programmes FCAI and HiDATA were included for the first time in 2018, which is consistent with the funding figures given.

In 2019, Aalto University and the University of Helsinki produced 41 joint publications in the field of IT. Of these joint publications, 36 (88%) can be found on the list below, confirming the expectation that the majority of the joint research of the two universities happens within the framework of HIIT.

Publications 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
Articles in international scientific journals with referee practice 69 79 81 101 122 128 129 181 199 279
Articles in international edited works and conference proceedings with referee practice 153 134 128 137 152 161 169 187 286 317
Scientific monographs and edited books 8 9 8 5 10 12 4 5 5 3
Other publications 25 29 31 16 13 9 13 20 19 19
Computer programs and algorithms 10 8 3 2 3 10 4 4 3 4
Doctoral theses 10 7 10 18 22 20 22 15 30 25
Total 275 266 261 279 322 340 341 412 542 647
HIIT publications 2010-2019.

Publications in 2019

Articles in international scientific journals with referee practice
  1. Khalil Abudahab, Joaquin M. Prada, Zhirong Yang, Stephen D. Bentley, Nicholas J. Croucher, Jukka Corander, and David M. Aanensen. PANINI: Pangenome Neighbour Identification for Bacterial Populations. Microbial Genomics, 5(4), 4 2019.
  2. A. Alhilal, T. Braud, and P. Hui. The Sky is NOT the Limit Anymore: Future Architecture of the Interplanetary Internet. IEEE Aerospace and Electronic Systems Magazine, 34(8):22–32, 2019.
  3. Mehreen Ali and Tero Aittokallio. Machine learning and feature selection for drug response prediction in precision oncology applications. Biophysical Reviews, 11(1):31–39, 2 2019.
  4. Jani V. Anttila, Mikhail Shubin, Johannes Cairns, Florian Borse, Qingli Guo, Tommi Mononen, Ignacio Vazquez-Garcia, Otto Pulkkinen, and Ville Mustonen. Contrasting the impact of cytotoxic and cytostatic drug therapies on tumour progression. PLoS Computational Biology, 15(11), 11 2019.
  5. Rohit Babbar and Bernhard Schölkopf. Data scarcity, robustness and extreme multi-label classification. Machine Learning, 108(8-9):1329–1351, 9 2019.
  6. Fahiem Bacchus, Matti Järvisalo, and Ruben Martins. MaxSAT Evaluation 2018: New Developments and Detailed Results. Journal on Satisfiability, Boolean Modeling and Computation, 11(1):99–131, 2019.
  7. Haakon Bakka, Jarno Vanhatalo, Janine B. Illian, Daniel Simpson, and Havard Rue. Non-stationary Gaussian models with physical barriers. Spatial statistics, 29:268–288, 3 2019.
  8. Andrea Bellucci, Andrea Vianello, Yves Florack, Luana Micallef, and Giulio Jacucci. Augmenting objects at home through programmable sensor tokens: A design journey. International Journal of Human-Computer Studies, 122:211–231, 2 2019.
  9. Kunal Bhattacharya, Tuomas Takko, Daniel Monsivais, and Kimmo Kaski. Group formation on a small-world: experiment and modelling. Journal of the Royal Society Interface, 16(156), 7 2019.
  10. Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, and Isabelle Augenstein. What do Language Representations Really Represent?. Computational Linguistics, 45(2):381–389, 2019.
  11. Andreas Björklund, Petteri Kaski, and Ryan Williams. Generalized Kakeya sets for polynomial evaluation and faster computation of fermionants. Algorithmica, 81(10):4010–4028, 10 2019.
  12. Karsten Borgwardt, Po-Ling Loh, Evimaria Terzi, and Antti Ukkonen. Introduction to the special issue for the ECML PKDD 2019 journal track. Data Mining and Knowledge Discovery, 33(5):1223–1224, 9 2019.
  13. E. Boz, B. Finley, A. Oulasvirta, K. Kilkki, and J. Manner. Mobile QoE prediction in the field. Pervasive and Mobile Computing, 59, 10 2019.
  14. Celine Brouard, Antoine Basse, Florence d’Alche Buc, and Juho Rousu. Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models. Metabolites, 9(8), 8 2019.
  15. Paul-Christian Burkner, Jonah Gabry, and Aki Vehtari. Approximate leave-future-out cross-validation for Bayesian time series models. Computational Statistics, 2019.
  16. Paul-Christian Burkner, Jonah Gabry, and Aki Vehtari. Leave-one-out cross-validation for non-factorizable normal models. Journal of Computational and Graphical Statistics, 2019.
  17. A. Celarek, W. Jakob, M. Wimmer, and J. Lehtinen. Quantifying the Error of Light Transport Algorithms. Computer Graphics Forum, 38(4):111–121, 7 2019.
  18. Keren Censor-Hillel, Petteri Kaski, J.H. Korhonen, Christoph Lenzen, Ami Paz, and Jukka Suomela. Algebraic methods in the congested clique. Distributed Computing, 32(6):461–478, 12 2019.
  19. A. Cervera, V. Rantanen, K. Ovaska, M. Laakso, J. Nuñez-Fontarnau, A. Alkodsi, J. Casado, C. Facciotto, A. Häkkinen, R. Louhimo, S. Karinen, K. Zhang, K. Lavikka, L. Lyly, M. Pal Singh, and S. Hautaniemi. Anduril 2: Upgraded large-scale data integration framework. Bioinformatics, 35(19):3815–3817, 10 2019.
  20. Dimitris Chatzopoulos, Carlos Bermejo, Ehsan ul Haq, Yong Li, and Pan Hui. D2D Task Offloading: A Dataset-Based Q&A. IEEE Communications Magazine, 57(2):102–107, 2 2019.
  21. Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Yong Li, Rolf Stadler, Dacheng Tao, Yonggang Wen, and Ying Zhang. Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications. IEEE Journal on Selected Areas in Communications, 37(6):1185–1191, 6 2019. Guest Editorial.
  22. Yuxing Chen, Peter Goetsch, Mohammad Ashraful Hoque, Jiaheng Lu, and Sasu Tarkoma. d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics. IEEE Transactions on Big Data, 10 2019.
  23. Lu Cheng, Siddharth Ramchandran, Tommi Vatanen, Niina Lietzén, Riitta Lahesmaa, Aki Vehtari, and Harri Lähdesmäki. An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data. Nature Communications, 10(1):1–11, 4 2019.
  24. Á. Chiner-Oms, L. Sánchez-Busó, J. Corander, S. Gagneux, S. R. Harris, D. Young, F. González-Candelas, and I. Comas. Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex. Science Advances, 5(6), 6 2019.
  25. Héctor Climente-González, Chloé Agathe Azencott, Samuel Kaski, and Makoto Yamada. Block HSIC Lasso: Model-free biomarker detection for ultra-high dimensional data. Bioinformatics, 35(14):i427–i435, 7 2019.
  26. Abigail Colclough, Jukka Corander, Samuel K. Sheppard, Sion C. Bayliss, and Michiel Vos. Patterns of cross-resistance and collateral sensitivity between clinical antibiotics and natural antimicrobials. Evolutionary Applications, 12(5):878–887, 6 2019.
  27. AstraZeneca-Sanger Drug Combination DREAM Consortium, Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Barbara Schmitz Abecassis, Nanne Aben, Delasa Aghamirzaie, Tero Aittokallio, Farida S. Akhtari, Bissan Al-lazikani, Tanvir Alam, Amin Allam, Chad Allen, Mariana Pelicano de Almeida, Doaa Altarawy, Vinicius Alves, Alicia Amadoz, Benedict Anchang, Albert A. Antolin, Jeremy R. Ash, Victoria Romeo Aznar, Wail Ba-alawi, Moeen Bagheri, Vladimir Bajic, Gordon Ball, Pedro J. Ballester, Delora Baptista, Christopher Bare, Mathilde Bateson, Andreas Bender, Denis Bertrand, Bhagya Wijayawardena, Keith A. Boroevich, Evert Bosdriesz, Mehmet Gonen, Samuel Kaski, Suleiman Ali Khan, Hiroshi Mamitsuka, Pekka Marttinen, Xin Wang, and Alexey Zakharov. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications, 10(1):1–17, 6 2019.
  28. Jukka Corander, Antti Hyttinen, Juha Kontinen, Johan Pensar, and Jouko Väänänen. A Logical Approach to Context-Specific Independence. Annals of Pure and Applied Logic, 170(9):975–992, 9 2019.
  29. Amelieke J. H. Cremers, Fredrick M. Mobegi, Christa van der Gaast-de Jongh, Michelle van Weert, Fred J. van Opzeeland, Minna Vehkala, Mirjam J. Knol, Hester J. Bootsma, Niko Välimaki, Nicholas J. Croucher, Jacques F. Meis, Stephen Bentley, Sacha A. F. T. van Hijum, Jukka Corander, Aldert L. Zomer, Gerben Ferwerda, and Marien I. de Jonge. The Contribution of Genetic Variation of Streptococcus pneumoniae to the Clinical Manifestation of Invasive Pneumococcal Disease. Clinical Infectious Diseases, 68(1):61–69, 1 2019.
  30. Kai Dührkop, Markus Fleischauer, Marcus Ludwig, Alexander A. Aksenov, Alexey V. Melnik, Marvin Meusel, Pieter C. Dorrestein, Juho Rousu, and Sebastian Böcker. SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information. Nature Methods, 16(4):299–302, 4 2019.
  31. Ralf Eggeling, Ivo Grosse, and Mikko Koivisto. Algorithms for learning parsimonious context trees. Machine Learning, 108(6):879–911, 6 2019.
  32. Timo Eirola and Antti Koskela. Krylov integrators for Hamiltonian systems. BIT – Numerical Mathematics, 59(1):57–76, 3 2019.
  33. Jean P. Elbers, Mark F. Rogers, Polina L. Perelman, Anastasia A. Proskuryakova, Natalia A. Serdyukova, Warren E. Johnson, Petr Horin, Jukka Corander, David Murphy, and Pamela A. Burger. Improving Illumina assemblies with Hi-C and long reads: An example with the North African dromedary. Molecular Ecology Resources, 19(4):1015–1026, 7 2019.
  34. Marco Filetti, Oswald Barral, Giulio Jacucci, and Niklas Ravaja. Motivational intensity and visual word search: Layout matters. PloS one, 14(7):1–36, 1 2019.
  35. Huber Flores, Jonatan Hamberg, Xin Li, Titti Malmivirta, Agustin Zuniga, Eemil Lagerspetz, and Petteri Nurmi. Estimating Energy Footprint using Thermal Imaging. GetMobile : Mobile Computing and Communications, 23(3):5–8, 9 2019.
  36. Fedor Fomin, Petteri Kaski, Daniel Lokshtanov, Fahad Panolan, and Saket Saurabh. Parameterized single-exponential time polynomial space algorithm for steiner tree. SIAM Journal on Discrete Mathematics, 33(1):327–345, 2019.
  37. Mikael Fortelius, Faysal Bibi, Hui Tang, Indre Zliobaite, Jussi Eronen, and Ferhat Kaya. The nature of the Old World savannah palaeobiome. Nature Ecology & Evolution, 3(4):504–504, 4 2019.
  38. Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, and Kimmo Kaski. Different patterns of social closeness observed in mobile phone communication. Journal of Computational Social Science, 2019.
  39. Pak Lun Fung, Martha Zaidan, Salla Sillanpää, Anu Kousa, Jarkko V Niemi, Hilkka Timonen, Joel Kuula, Erkka Saukko, Krista Hannele Luoma, Tuukka Petäjä, Sasu Tarkoma, Markku Kulmala, and Tareq Hussein. Input-Adaptive Proxy for Black Carbon as a Virtual Sensor. Sensors, 20(1), 12 2019.
  40. Jonah Gabry, Daniel Simpson, Aki Vehtari, Michael Betancourt, and Andrew Gelman. Visualization in Bayesian workflow. Journal of the Royal Statistical Society Series A: Statistics in Society, 182(2):389–402, 2 2019.
  41. Hui Gao, Chi Harold Liu, Jian Tang, Dejun Yang, Pan Hui, and Wendong Wang. Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus. IEEE Transactions on Mobile Computing, 18(11):2589–2603, 11 2019.
  42. Junning Gao, Lizhi Liu, Shuwei Yao, Xiaodi Huang, Hiroshi Mamitsuka, and Shanfeng Zhu. HPOAnnotator: improving large-scale prediction of HPO annotations by low-rank approximation with HPO semantic similarities and multiple PPI networks. BMC Medical Genomics, 12, 12 2019.
  43. Rui Gao, Filip Tronarp, and Simo Särkkä. Iterated Extended Kalman Smoother-Based Variable Splitting for L-1-Regularized State Estimation. IEEE Transactions on Signal Processing, 67(19):5078–5092, 10 2019.
  44. Zhongke Gao, Shan Li, Qing Cai, Weidong Dang, Yuxuan Yang, Chaoxu Mu, and Pan Hui. Relative Wavelet Entropy Complex Network for Improving EEG-Based Fatigue Driving Classification. IEEE Transactions on Instrumentation and Measurement, 68(7):2491–2497, 7 2019.
  45. Angel F. Garcia-Fernandez, Filip Tronarp, and Simo Särkkä. Gaussian process classification using posterior linearization. IEEE Signal Processing Letters, 26(5):735–739, 5 2019.
  46. Ángel F. García-Fernández, Roland Hostettler, and Simo Särkkä. Rao-Blackwellized Posterior Linearization Backward SLAM. IEEE Transactions on Vehicular Technology, 68(5):4734–4747, 5 2019.
  47. Ángel F. García-Fernández, Filip Tronarp, and Simo Särkkä. Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements. IEEE Transactions on Signal Processing, 67(11):2960–2972, 6 2019.
  48. Prson Gautam, Alok Jaiswal, Tero Aittokallio, Hassan Al-Ali, and Krister Wennerberg. Phenotypic Screening Combined with Machine Learning for Efficient Identification of Breast Cancer-Selective Therapeutic Targets. Cell chemical biology, 26(7):970–+, 7 2019.
  49. Prson Gautam, Markus Vaha-Koskela, Max Tomlinson, Adrienne D. Cox, Channing J. Der, Tero Aittokallio, and Krister Wennerberg. Drug screening and molecular profiling identifies INKA1 as a predictive biomarker for sensitivity to MAPK inhibition-antimitotic combination treatment in pancreatic ductal adenocarcinoma. Molecular Cancer Therapeutics, 18(12 suppl.), 12 2019.
  50. Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari. R-squared for Bayesian regression models. American Statistician, pages 1–6, 1 2019.
  51. Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, and Frédo Durand. Sample-based Monte Carlo Denoising using a Kernel-Splatting Network. ACM Transactions on Graphics, 38(4), 7 2019.
  52. Asim Ghosh, Venla Berg, Kunal Bhattacharya, Daniel Monsivais, Janos Kertesz, Kimmo Kaski, and Anna Rotkirch. Migration patterns of parents, children and siblings: Evidence for patrilocality in contemporary Finland. Population Space and Place, 25(5), 7 2019.
  53. Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I.M. Dunbar, and Kimmo Kaski. Quantifying gender preferences in human social interactions using a large cellphone dataset. EPJ Data Science, 8(1):1–15, 3 2019.
  54. Kunal Ghosh, Annika Stuke, Milica Todorović, Peter Bjørn Jørgensen, Mikkel N. Schmidt, Aki Vehtari, and Patrick Rinke. Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra. Advanced Science, 6(9):1–7, 5 2019.
  55. Jussi Gillberg, Pekka Marttinen, Hiroshi Mamitsuka, and Samuel Kaski. Modelling G×E with historical weather information improves genomic prediction in new environments. Bioinformatics, 35(20):4045–4052, 10 2019.
  56. Dorota Glowacka. Bandit Algorithms in Information Retrieval. Foundations and Trends in Information Retrieval. Now publishers, 2019. Foundations and Trends in Information Retrieval: Vol. 13: No. 4, pp 299-424.
  57. Simon Gog, Juha Kärkkäinen, Dominik Kempa, Matthias Petri, and Simon J. Puglisi. Fixed Block Compression Boosting in FM-Indexes: Theory and Practice. Algorithmica, 81(4):1370–1391, 4 2019.
  58. Morteza Golkarifard, Ji Yang, Zhanpeng Huang, Ali Movaghar, and Pan Hui. Dandelion: A Unified Code Offloading System for Wearable Computing. IEEE Transactions on Mobile Computing, 18(3):546–559, 3 2019.
  59. Qingyuan Gong, Yang Chen, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, and Pan Hui. Exploring the power of social hub services. World Wide Web-Internet and Web Information Systems, 22(6):2825–2852, 11 2019.
  60. Diabimmune Study Grp, Laura Korhonen, Sami Oikarinen, Jussi Lehtonen, Neea Mustonen, Iiris Tyni, Onni Niemelä, Hanna Honkanen, Heini Huhtala, Jorma Ilonen, Anu-Maaria Hämäläinen, Aleksandr Peet, Vallo Tillmann, Heli Siljander, Mikael Knip, Maria Lönnrot, Heikki Hyöty, Taina Härkönen, Samppa Ryhänen, Katriina Koski, Matti Koski, Anne Ormisson, Valentina Ulich, Elena Kuzmicheva, Sergei Mokurov, Svetlana Markova, Svetlana Pylova, Marina Isakova, Elena Shakurova, Vladimir Petrov, Natalya V. Dorshakova, Tatyana Karapetyan, Tatyana Varlamova, Minna Kiviniemi, Kristi Alnek, Helis Janson, Raivo Uibo, Tiit Salum, Erika von Mutius, Juliane Weber, Helena Ahlfors, Henna Kallionpää, Essi Laajala, Riitta Lahesmaa, Harri Lähdesmäki, Robert Moulder, Janne Nieminen, Terhi Ruohtula, Outi Vaarala, Kirsi Alahuhta, Suvi M. Virtanen, and Anita Kondrashova. Rhinoviruses in infancy and risk of immunoglobulin E sensitization. Journal of Medical Virology, 91(8):1470–1478, 8 2019.
  61. Tommi Gröndahl and N. Asokan. Text analysis in adversarial settings: Does deception leave a stylistic trace?. ACM Computing Surveys, 52(3):1–36, 6 2019.
  62. Betul Guvenc, Hiroshi Mamitsuka, and Samuel Kaski. Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches. Briefings in Bioinformatics, 2019.
  63. Nils Haglund, Milos Mladenovic, Rainer Kujala, Christoffer Weckström, and Jari Saramäki. Where did Kutsuplus drive us? Ex post evaluation of on-demand micro-transit pilot in the Helsinki capital region. Research in Transportation Business & Management, 32, 9 2019.
  64. Xueran Han, Jun Chen, Jiaheng Lu, Yueguo Chen, and Xiaoyong Du. PivotE: revealing and visualizing the underlying entity structures for exploration. Proceedings of the VLDB Endowment, 12(12):1966–1969, 8 2019.
  65. Ehsan ul Haq, Tristan Braud, Young D. Kwon, and Pan Hui. A Survey on Computational Politics. IEEE Access, 8 2019.
  66. Marcelo Hartmann and Jarno Vanhatalo. Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-t model. Statistics and Computing, 29(4):753–773, 7 2019.
  67. Anna Hausmann, Tuuli Toivonen, Christoph Fink, Vuokko Vilhelmiina Heikinheimo, Henrikki Tenkanen, Stuart Butchart, Thomas Brooks, and Enrico Di Minin. Assessing global popularity and threats to Important Bird and Biodiversity Areas using social media data. Science of the Total Environment, 683:617–623, 9 2019.
  68. Murtaza Hazara and Ville Kyrki. Transferring Generalizable Motor Primitives From Simulation to Real World. IEEE Robotics and Automation Letters, 4(2):2172–2179, 4 2019.
  69. Markus Heinonen, Maria Osmala, Henrik Mannerström, Janne Wallenius, Samuel Kaski, Juho Rousu, and Harri Lähdesmäki. Bayesian metabolic flux analysis reveals intracellular flux couplings. Bioinformatics, 35(14):I548–I557, 7 2019.
  70. Samuli Hemminki, Keisuke Kuribayashi, Shin’Ichi Konomi, Petteri Nurmi, and Sasu Tarkoma. Crowd Replication: Sensing-Assisted Quantification of Human Behaviour in Public Spaces. ACM transactions on spatial algorithms and systems, 5(3), 8 2019.
  71. Marijn Heule, Matti Järvisalo, and Martin Suda. SAT Competition 2018. Journal on Satisfiability, Boolean Modeling and Computation, 11(1):133–154, 2019.
  72. Tuomo Hiippala, Anna Hausmann, Henrikki Tenkanen, and Tuuli Toivonen. Exploring the linguistic landscape of geotagged social media content in urban environments. Digital Scholarship in the Humanities : DSH, 34(2):290–309, 6 2019.
  73. Lauri Himanen, Amber Geurts, Adam Stuart Foster, and Patrick Rinke. Data-Driven Materials Science: Status, Challenges, and Perspectives. Advanced Science, 6(21), 11 2019.
  74. Lauri Himanen, Marc O.J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, and Adam S. Foster. DScribe: Library of descriptors for machine learning in materials science. Computer Physics Communications, 247, 2019.
  75. Ilyena Hirskyj-Douglas, Mikko Kytö, and David McGookin. Head-mounted Displays, Smartphones, or Smartwatches? – Augmenting Conversations with Digital Representation of Self. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 11 2019.
  76. Ian T. Hoffecker, Yunshi Yang, Giulio Bernardinelli, Pekka Orponen, and Björn Högberg. A computational framework for DNA sequencing microscopy. Proceedings of the National Academy of Sciences, 116(39):19282–19287, 9 2019.
  77. Jenni Hokka and Matti Nelimarkka. Affective economy of national-populist images: Investigating national and transnational online networks through visual big data. New Media and Society, 8 2019.
  78. Roland Hostettler and Simo Särkkä. Rao-Blackwellized Gaussian Smoothing. IEEE Transactions on Automatic Control, 64(1):305–312, 1 2019.
  79. Yi Ta Hsieh, Antti Jylhä, Valeria Orso, Salvatore Andolina, Eve Hoggan, Luciano Gamberini, and Giulio Jacucci. Developing hand-worn input and haptic support for real-world target finding. Personal and Ubiquitous Computing, 23(1):117–132, 2 2019.
  80. Edin Husic, Xinyue Li, Ademir Hujdurovic, Miika Mehine, Romeo Rizzi, Veli Mäkinen, Martin Milanic, and Alexandru I. Tomescu. MIPUP: minimum perfect unmixed phylogenies for multi-sampled tumors via branchings and ILP. Bioinformatics, 35(5):769–777, 3 2019.
  81. Janne M.J. Huttunen, Leo Kärkkäinen, Mikko Honkala, and Harri Lindholm. Deep learning for prediction of cardiac indices from photoplethysmographic waveform: A virtual database approach. International Journal for Numerical Methods in Biomedical Engineering, 12 2019.
  82. Janne M.J. Huttunen, Leo Kärkkäinen, and Harri Lindholm. Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data. PLoS computational biology, 15(8):e1007259, 8 2019.
  83. Eero Hyvönen. Helsinki Centre for Digital Humanities (HELDIG): Developing the Digital World Together. EuropeNow, 9 2019.
  84. Eero Hyvönen. Linked Data in Use: Sampo Portals on the Semantic Web. EuropeNow, 9 2019.
  85. Eero Hyvönen. National Linked Open Data Infrastructure for Digital Humanities. EuropeNow, 9 2019.
  86. Aleksandr Ianevski, Anil Kumar, Prson Gautam, Alexander Vladimirovich Kononov, Jani Saarela, Swapnil Potdar, Krister Wennerberg, and Tero Aittokallio. Prediction of drug combination effects with a minimal set of experiments. Nature Machine Intelligence, 1:568–577, 12 2019.
  87. Teemu Ikonen, Keijo Heljanko, and Iiro Harjunkoski. Reinforcement learning of adaptive decision-making on online rescheduling procedures. Computers and Chemical Engineering, 10 2019.
  88. Jukka Intosalmi, Adrian C. Scott, Michelle Hays, Nicholas Flann, Olli Yli-Harja, Harri Lähdesmäki, Aimée M. Dudley, and Alexander Skupin. Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies. Advances in Molecular and Cell Biology, 20(1), 12 2019.
  89. Karoliina Isoaho, Daria Gritsenko, and Eetu Mäkelä. Topic Modeling and Text Analysis for Qualitative Policy Research. Policy Studies Journal, 6 2019.
  90. Veli-Matti Isoviita, Liina Salminen, Jimmy Azar, Rainer Lehtonen, Pia Roering, Olli Carpen, Sakari Hietanen, Seija Grénman, Johanna Hynninen, Anniina Färkkilä, and Sampsa Hautaniemi. Open Source Infrastructure for Health Care Data Integration and Machine Learning Analyses. JCO Clinical Cancer Informatics, 3, 8 2019.
  91. Malcolm S. Itter, Jarno Vanhatalo, and Andrew O. Finley. EcoMem: An R package for quantifying ecological memory. Environmental Modelling & Software, 119:305–308, 9 2019.
  92. Gerardo Iñiguez, Hang Hyun Jo, and Kimmo Kaski. Special issue “computational social science”. Information, 10(10), 10 2019.
  93. Giulio Jacucci, Oswald Barral, Pedram Daee, Markus Wenzel, Baris Serim, Tuukka Ruotsalo, Patrik Pluchino, Jonathan Freeman, Luciano Gamberini, Samuel Kaski, and Benjamin Blankertz. Integrating neurophysiologic relevance feedback in intent modeling for information retrieval. Journal of the Association for Information Science and Technology, 70(9):917–930, 9 2019.
  94. Leena Jarvi, Minttu Havu, Helen C. Ward, Veronica Bellucco, Joseph P. McFadden, Tuuli Toivonen, Vuokko Heikinheimo, Pasi Kolari, Anu Riikonen, and C. Sue B. Grimmond. Spatial Modeling of Local-Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki. Journal of Geophysical Research : Atmospheres, 124(15):8363–8384, 8 2019.
  95. Alex Jung, Alfred Hero, Alexandru Mara, Saeed Basirian Jahromi, Ayelet Heimowitz, and Yonina C. Eldar. Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. IEEE Transactions on Signal Processing, 67(24):6256–6269, 2019.
  96. Alexander Jung and Nguyen Tran. Localized Linear Regression in Networked Data. IEEE Signal Processing Letters, 26(7):1090–1094, 7 2019.
  97. Tommi Junttila, Matti Karppa, Petteri Kaski, and Jukka Kohonen. An adaptive prefix-assignment technique for symmetry reduction. Journal of Symbolic Computation, 99:21–49, 7 2019.
  98. Marko Järvenpää, Michael U. Gutmann, Arijus Pleska, Aki Vehtari, and Pekka Marttinen. Efficient acquisition rules for model-based approximate Bayesian computation. Bayesian Analysis, 14(2):595–622, 6 2019.
  99. Marko Järvenpää, Mohamad R.Abdul Sater, Georgia K. Lagoudas, Paul C. Blainey, Loren G. Miller, James A. McKinnell, Susan S. Huang, Yonatan H. Grad, and Pekka Marttinen. A Bayesian model of acquisition and clearance of bacterial colonization incorporating within-host variation. PLoS computational biology, 15(4):1–25, 4 2019.
  100. Priyanka Kachroo, Jesus M. Eraso, Randall J. Olsen, Stephen B. Beres, Luchang Zhu, Waleed Nasser, Paul E. Bernard, Concepcion C. Cantu, Matthew Ojeda Saavedra, María José Arredondo, Benjamin Strope, Hackwon Do, Muthiah Kumaraswami, Jaana Vuopio, Kirsi Gröndahl-Yli-Hannuksela, Karl G. Kristinsson, Magnus Gottfredsson, Maiju Pesonen, Johan Pensar, Emily R. Davenport, Andrew G. Clark, Jukka Corander, Dominique A. Caugant, Shahin Gaini, Marita Debess Magnussen, Samantha L. Kubiak, Hoang A.T. Nguyen, S. Wesley Long, Adeline R. Porter, Frank R. DeLeo, and James M. Musser. Integrated analysis of population genomics, transcriptomics and virulence provides novel insights into Streptococcus pyogenes pathogenesis. Nature Genetics, 51(3):548–559, 3 2019.
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  194. Mikko Raatikainen, Juha Tiihonen, and Tomi Männistö. Software product lines and variability modeling: A tertiary study. Journal of Systems and Software, 149:485–510, 3 2019.
  195. Muneeba Raja, Philip A. Hughes, Y. Xu, P. Zarei, D. Michelson, and Stephan Sigg. Wireless Multifrequency Feature Set to Simplify Human 3D Pose Estimation. IEEE Antennas and Wireless Propagation Letters, 18(5):876–880, 5 2019.
  196. Sara Ramezanian, Tommi Meskanen, Masoud Naderpour, Ville Junnila, and Valtteri Niemi. Private membership test protocol with low communication complexity. Digital Communications and Networks, 2019. Ramezanian S, Meskanen T, Naderpour M, Junnila V, Niemi V. Private membership test protocol with low communication complexity. Digital Communications and Networks. 2019 May 13.
  197. Sara Ramezanian, Tommi Meskanen, and Valtteri Niemi. Privacy-Protecting Algorithms for Digraph Shortest Path Queries. International Journal of Embedded and Real-Time Communication Systems, 10(3):86–100, 7 2019.
  198. Leila Rashidi, Reza Entezari-Maleki, Dimitris Chatzopoulos, Pan Hui, Kishor S. Trivedi, and Ali Movaghar. Performance Evaluation of Epidemic Content Retrieval in DTNs With Restricted Mobility. IEEE Transactions on Network and Service Management, 16(2):701–714, 6 2019.
  199. Mikko Rautiainen, Veli Mäkinen, and Tobias Marschall. Bit-parallel sequence-to-graph alignment. Bioinformatics, 35(19):3599–3607, 10 2019.
  200. Balaguru Ravikumar, Sanna Timonen, Zaid Alam, Elina Parri, Krister Wennerberg, and Tero Aittokallio. Chemogenomic Analysis of the Druggable Kinome and Its Application to Repositioning and Lead Identification Studies. Cell chemical biology, 26(11):1608–1622, 11 2019.
  201. Patrick Rinke. Database driven research and the Novel Materials Discovery Laboratory. Abstracts of papers of the American Chemical Society, 257, 3 2019.
  202. Romeo Rizzi, Massimo Cairo, Veli Mäkinen, Alexandru I. Tomescu, and Daniel Valenzuela. Hardness of Covering Alignment: Phase Transition in Post-Sequence Genomics. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(1):23–30, 2 2019.
  203. Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, and Nikolaj Tatti. Finding events in temporal networks: segmentation meets densest subgraph discovery. Knowledge and Information Systems, 1 2019.
  204. Minna Ruckenstein and Linda Turunen. Re-humanizing the platform: Content moderators and the logic of care. New Media & Society, 9 2019.
  205. Tuukka Ruotsalo, Giulio Jacucci, and Samuel Kaski. Interactive faceted query suggestion for exploratory search: Whole-session effectiveness and interaction engagement. Journal of the Association for Information Science and Technology, 36(4):1–15, 2019.
  206. Kati Räisänen, Irma Koivula, Heikki Ilmavirta, Santeri Puranen, Teemu Kallonen, Outi Lyytikäinen, and Jari Jalava. Emergence of ceftazidime-avibactam-resistant Klebsiella pneumoniae during treatment, Finland, December 2018. Eurosurveillance, 24(19):1–3, 5 2019.
  207. Jaakko Sahlsten, Joel Jaskari, Jyri Kivinen, Lauri Turunen, Esa Jaanio, Kustaa Hietala, and Kimmo Kaski. Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading. Scientific Reports, 9(1):1–11, 12 2019.
  208. Leena Salmela and Alexandru I. Tomescu. Safely Filling Gaps with Partial Solutions Common to All Solutions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16(2):617–626, 2019.
  209. Mikko Salminen, Simo Järvelä, Antti Ruonala, Ville Johannes Harjunen, Giulio Jacucci, Juho Hamari, and Niklas Ravaja. Evoking Physiological Synchrony and Empathy Using Social VR with Biofeedback. IEEE Transactions on Affective Computing, 12 2019.
  210. Leonor Sanchez-Buso, Daniel Golparian, Jukka Corander, Yonatan H. Grad, Makoto Ohnishi, Rebecca Flemming, Julian Parkhill, Stephen D. Bentley, Magnus Unemo, and Simon R. Harris. The impact of antimicrobials on gonococcal evolution. Nature Microbiology, 4(11):1941–1950, 11 2019.
  211. Juha Sarmavuori and Simo Särkkä. Numerical integration as a finite matrix approximation to multiplication operator. Journal of Computational and Applied Mechanics, 353:283–291, 6 2019.
  212. Katharina Schaufler, Torsten Semmler, Lothar H. Wieler, Darren J. Trott, Johann Pitout, Gisele Peirano, Jonas Bonnedahl, Monika Dolejska, Ivan Literak, Stephan Fuchs, Niyaz Ahmed, Mirjam Grobbel, Carmen Torres, Alan McNally, Derek Pickard, Christa Ewers, Nicholas J. Croucher, Jukka Corander, and Sebastian Guenther. Genomic and Functional Analysis of Emerging Virulent and Multidrug-Resistant Escherichia coli Lineage Sequence Type 648. Antimicrobial Agents and Chemotherapy, 63(6), 6 2019.
  213. Yves Scherrer and Achim Rabus. Neural morphosyntactic tagging for Rusyn. Natural Language Engineering, 25(5):633–650, 9 2019.
  214. Yves Scherrer, Tanja Samardžić, and Elvira Glaser. Digitising Swiss German: how to process and study a polycentric spoken language. Language Resources and Evaluation, 53(4):735–769, 11 2019.
  215. Michael Schober, Simo Särkkä, and Philipp Hennig. A probabilistic model for the numerical solution of initial value problems. Statistics and Computing, 29(1):99–122, 1 2019.
  216. Torsti Schulz, Jarno Vanhatalo, and Marjo Saastamoinen. Long-term demographic surveys reveal a consistent relationship between average occupancy and abundance within local populations of a butterfly metapopulation. Ecopgraphy, 43(2):306–317, 10 2019.
  217. Azimatu Seidu, Lauri Himanen, Jingrui Li, and Patrick Rinke. Database-driven high-throughput study of coating materials for hybrid perovskites. New Journal of Physics, 21:1–6, 8 2019.
  218. Global Pneumococcal Sequencing, Rebecca A. Gladstone, Stephanie W. Lo, John A. Lees, Nicholas J. Croucher, Andries J. van Tonder, Jukka Corander, Andrew J. Page, Pekka Marttinen, Leon J. Bentley, Theresa J. Ochoa, Pak Leung Ho, Mignon du Plessis, Jennifer E. Cornick, Brenda Kwambana-Adams, Rachel Benisty, Susan A. Nzenze, Shabir A. Madhi, Paulina A. Hawkins, Dean B. Everett, Martin Antonio, Ron Dagan, Keith P. Klugman, Anne von Gottberg, Lesley McGee, Robert F. Breiman, and Stephen D. Bentley. International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. Ebiomedicine, 43:338–346, 5 2019.
  219. Kirill A. Shatilov, Dimitris Chatzopoulos, Lik-Hang Lee, and Pan Hui. Emerging Natural User Interfaces in Mobile Computing: A Bottoms-Up Survey. ACM Computing Surveys, 2019.
  220. Kirill A. Shatilov, Dimitris Chatzopoulos, Alex Wong Tat Hang, and Pan Hui. Using Deep Learning and Mobile Offloading to Control a 3D-printed Prosthetic Hand. Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 3(3), 9 2019.
  221. Babins Shrestha, Nitesh Saxena, Hien Thi Thu Truong, and N. Asokan. Sensor-Based Proximity Detection in the Face of Active Adversaries. IEEE Transactions on Mobile Computing, 18(2):444–457, 2 2019.
  222. Jiayu Shu, Mangtik Chiu, and Pan Hui. Emotion Sensing for Mobile Computing. IEEE Communications Magazine, 57(11):84–90, 11 2019.
  223. Stephan Sigg, Eemil Lagerspetz, Ella Peltonen, Petteri Nurmi, and Sasu Tarkoma. Exploiting usage to predict instantaneous app popularity: Trend filters and retention rates. ACM Transactions on the Web, 13(2), 4 2019.
  224. U. Simola, X. Dumusque, and J. Cisewski-Kehe. Measuring precise radial velocities and cross-correlation function line-profile variations using a Skew Normal density. Astronomy & Astrophysics, 622, 2 2019.
  225. U. Simola, B. Pelssers, D. Barge, J. Conrad, and J. Corander. Machine learning accelerated likelihood-free event reconstruction in dark matter direct detection. Journal of Instrumentation, 14, 3 2019.
  226. Umberto Simola, J. Cisewski-Kehe, and Jukka Corander. Adaptive Approximate Bayesian Computation Tolerance Selection. Bayesian analysis, 2019.
  227. Jukka Siren and Samuel Kaski. Local dimension reduction of summary statistics for likelihood-free inference. Statistics and Computing, 10 2019.
  228. Vasilios A. Siris, Pekka Nikander, Spyros Voulgaris, Nikos Fotiou, Dmitrij Lagutin, and George C. Polyzos. Interledger Approaches. IEEE Access, 7:89948–89966, 1 2019.
  229. Annemieke Smet, Koji Yahara, Mirko Rossi, Alfred Tay, Steffen Backert, Armin Ensser, James G. Fox, Bram Flahou, Richard Ducatelle, Freddy Haesebrouck, and Jukka Corander. Macroevolution of gastric Helicobacter species unveils interspecies admixture and time of divergence (vol 12, pg 2518, 2018). ISME Journal, 13(7):1890–1890, 7 2019. Correction to: ISME J. 2018;12:2518–2531 DOI:10.1038/s41396-018-0199-5.
  230. Arno Solin and Simo Särkkä. Hilbert space methods for reduced-rank Gaussian process regression. Statistics and Computing, 2019.
  231. Michiel Spapé, Ville Harjunen, Imtiaj Ahmed, Giulio Jacucci, and Niklas Ravaja. The semiotics of the message and the messenger: How nonverbal communication affects fairness perception. Cognitive Affective and Behavioral Neuroscience, 19(5):1259–1272, 10 2019.
  232. Melisa Stevanovic, Pentti Henttonen, Emmi Koskinen, Anssi Peräkylä, Taina Nieminen von Wendt, Elina Sihvola, Pekka Tani, Niklas Ravaja, and Mikko Sams. Physiological responses to affiliation during conversation: Comparing neurotypical males and males with Asperger syndrome. PloS one, 14(9):1–19, 1 2019.
  233. Shridatt Sugrim, Can Liu, and Janne Lindqvist. Recruit Until It Fails: Exploring Performance Limits for Identification Systems. Proceedings of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(3), 9 2019.
  234. Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, Aku Rouhe, Desmond Elliott, Lucia Specia, and Jörg Tiedemann. Multimodal Machine Translation through Visuals and Speech. Machine Translation, 12 2019.
  235. Alessandro Tadei, Johan Pensar, Jukka Corander, Katarina Finnilä, Pekka Santtila, and Jan Antfolk. A Bayesian Decision-Support Tool for Child Sexual Abuse Assessment and Investigation. Sexual Abuse, 31(4):374–396, 6 2019.
  236. Razane Tajeddine, Oliver Gnilke, David Karpuk, Ragnar Freij-Hollanti, and Camilla Hollanti. Private Information Retrieval from Coded Storage Systems with Colluding, Byzantine, and Unresponsive Servers. IEEE Transactions on Information Theory, 65(6):3898–3906, 6 2019.
  237. Razane Tajeddine, Antonia Wachter-Zeh, and Camilla Hollanti. Private Information Retrieval over Random Linear Networks. IEEE Transactions on Information Forensics and Security, 15(1):790–799, 7 2019.
  238. Aarne Johannes Talman, Anssi Yli-Jyrä, and Jörg Tiedemann. Sentence Embeddings in NLI with Iterative Refinement Encoders. Natural Language Engineering, 25(4):467–482, 7 2019.
  239. Topi Talvitie, Ralf Eggeling, and Mikko Koivisto. Learning Bayesian networks with local structure, mixed variables, and exact algorithms. International Journal of Approximate Reasoning, 115:69–95, 12 2019.
  240. Jing Tang, Prson Gautam, Abhishekh Gupta, Liye He, Sanna Timonen, Yevhen Akimov, Wenyu Wang, Agnieszka Szwajda, Alok Jaiswal, Denes Turei, Bhagwan Yadav, Matti Kankainen, Jani Saarela, Julio Saez-Rodriguez, Krister Wennerberg, and Tero Aittokallio. Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer. npj Systems Biology and Applications, 5(1), 7 2019.
  241. Nikolaj Tatti. Strongly polynomial efficient approximation scheme for segmentation. Information Processing Letters, 142:1–8, 2 2019.
  242. Nikolaj Tatti. Density-friendly graph decomposition. ACM Transactions on Knowledge Discovery from Data, 13(5):1–29, 9 2019.
  243. Henrikki Tenkanen and Tuuli Toivonen. Multimodal and multitemporal accessibility dataset for planning: travel times and distances in Helsinki Region. Scientific data, 9 2019.
  244. Roope Tervo, Joonas Karjalainen, and Alexander Jung. Short-Term Prediction of Electricity Outages Caused by Convective Storms. IEEE Transactions on Geoscience and Remote Sensing, 57(11):8618–8626, 11 2019.
  245. Kashyap Todi, Jussi Jokinen, Kris Luyten, and Antti Oulasvirta. Individualising graphical layouts with predictive visual search models. ACM Transactions on Interactive Intelligent Systems (TIIS), 10(1), 10 2019.
  246. Milica Todorović, Michael U. Gutmann, Jukka Corander, and Patrick Rinke. Bayesian inference of atomistic structure in functional materials. npj Computational Materials, 5(1):1–7, 3 2019.
  247. Jukka M. Toivanen, Matti Järvisalo, Olli Alm, Dan Ventura, Martti Vainio, and Hannu Toivonen. Towards Transformational Creation of Novel Songs. Connection Science, 31(1):4–32, 1 2019.
  248. Tuuli Toivonen, Vuokko Heikinheimo, Christoph Fink, Anna Hausmann, Tuomo Hiippala, Olle Järv, Henrikki Tenkanen, and Enrico Di Minin. Social media data for conservation science: A methodological overview. Biological Conservation, 233:298–315, 5 2019.
  249. Gerry Tonkin-Hill, John A. Lees, Stephen D. Bentley, Simon D. W. Frost, and Jukka Corander. Fast hierarchical Bayesian analysis of population structure. Nucleic Acids Research, 47(11):5539–5549, 6 2019.
  250. Christoph Trattner, Tomasz Kusmierczyk, and Kjetil Norvag. Investigating and predicting online food recipe upload behavior. Information Processing & Management, 56(3):654–673, 5 2019.
  251. Holly Trochet, Matti Pirinen, Gavin Band, Luke Jostins, Gilean McVean, and Chris C. A. Spencer. Bayesian meta-analysis across genome-wide association studies of diverse phenotypes. Genetic Epidemiology, 43(5):532–547, 7 2019.
  252. Filip Tronarp, Toni Karvonen, and Simo Särkkä. Student’s t-Filters for Noise Scale Estimation. IEEE Signal Processing Letters, 26(2):352–356, 2 2019.
  253. Filip Tronarp, Hans Kersting, Simo Särkkä, and Philipp Hennig. Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: A new perspective. Statistics and Computing, 29:1297–1315, 9 2019.
  254. Filip Tronarp and Simo Särkkä. Iterative statistical linear regression for Gaussian smoothing in continuous-time non-linear stochastic dynamic systems. Signal Processing, 159:1–12, 6 2019.
  255. Aleksia Fanni Maria Vaattovaara, Johanna Maria Leppälä, Jarkko Tapani Salojärvi, and Michael Alois Wrzaczek. High-throughput sequencing data and the impact of plant gene annotation quality. Journal of Experimental Botany, 70(4):1069–1076, 2 2019.
  256. Jarno Vanhatalo, Zitong Li, and Mikko J. Sillanpää. A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data. Bioinformatics, 35(19):3684–3692, 10 2019.
  257. Tommi Vatanen, Damian R. Plichta, Juhi Somani, Philipp C. Münch, Timothy D. Arthur, Andrew Brantley Hall, Sabine Rudolf, Edward J. Oakeley, Xiaobo Ke, Rachel A. Young, Henry J. Haiser, Raivo Kolde, Moran Yassour, Kristiina Luopajärvi, Heli Siljander, Suvi M. Virtanen, Jorma Ilonen, Raivo Uibo, Vallo Tillmann, Sergei Mokurov, Natalya Dorshakova, Jeffrey A. Porter, Alice C. McHardy, Harri Lähdesmäki, Hera Vlamakis, Curtis Huttenhower, Mikael Knip, and Ramnik J. Xavier. Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life. Nature Reviews Microbiology, 4(3):470–479, 3 2019.
  258. Heidi M. Viitaniemi, Irene Verhagen, Marcel E. Visser, Antti Honkela, Kees van Oers, and Arild Husby. Seasonal Variation in Genome-Wide DNA Methylation Patterns and the Onset of Seasonal Timing of Reproduction in Great Tits. Genome Biology and Evolution, 11(3):970–983, 3 2019.
  259. Tung Vuong, Miamaria Saastamoinen, Giulio Jacucci, and Tuukka Ruotsalo. Understanding user behavior in naturalistic information search tasks. Journal of the Association for Information Science and Technology, 70(11):1248–1261, 11 2019.
  260. Stefan Wagner, Daniel Méndez Fernández, Michael Felderer, Antonio Vetrò, Marco Kalinowski, Roel Wieringa, Dietmar Pfahl, Tayana Conte, Marie-Therese Christiansson, Desmond Greer, Casper Lassenius, Tomi Männistö, Maleknaz Nayebi, Markku Oivo, Birgit Penzenstadler, Rafael Prikladnicki, Guenter Ruhe, André Schekelmann, Sagar Sen, Rodrigo Spínola, Ahmed Tuzcu, Jose Luis De La Vara, and Dietmar Winkler. Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys. ACM Transactions on Software Engineering and Methodology, 28(2), 4 2019.
  261. Alexander M. Wailan, Francesc Coll, Eva Heinz, Gerry Tonkin-Hill, Jukka Corander, Nicholas A. Feasey, and Nicholas R. Thomson. rPinecone: Define sub-lineages of a clonal expansion via a phylogenetic tree. Microbial Genomics, 5(4), 4 2019.
  262. Riku Walve, Pasi Rastas, and Leena Salmela. Kermit: Linkage map guided long read assembly. Algorithms for Molecular Biology, 14(1), 3 2019.
  263. Huandong Wang, Yong Li, Sihan Zen, Gang Wang, Pengyu Zhang, Pan Hui, and Depeng Jin. Modeling Spatio-Temporal App Usage for a Large User Population. Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 3(1), 2019.
  264. Lei Wang, Bo Ai, Yong Niu, Xia Chen, and Pan Hui. Energy-Efficient Power Control of Train-Ground mmWave Communication for High-Speed Trains. IEEE Transactions on Vehicular Technology, 68(8):7704–7714, 8 2019.
  265. Christoffer Weckström, Rainer Kujala, Milos Mladenovic, and Jari Saramäki. Assessment of large-scale transitions in public transport networks using open timetable data: case of Helsinki metro extension. Journal of Transport Geography, 79, 7 2019.
  266. Menghao Wu, Yanbin Gao, Alexander Jung, Qiang Zhang, and Shitong Du. The Actor-Dueling-Critic Method for Reinforcement Learning. Sensors, 19(7):1–20, 4 2019.
  267. Ping Xiao, Hannu Toivonen, Oskar Gross, Amilcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Goncalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Diaz, Virginia Francisco, Pablo Gervás, Raquel Hervas, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrač, Tanja Urbancic, Frank Van Der Velde, and Stuart Battersby. Conceptual Representations for Computational Concept Creation. ACM Computing Surveys, 52(1), 2 2019.
  268. Rong Xie, Yang Chen, Shihan Lin, Tianyong Zhang, Yu Xiao, and Xin Wang. Understanding Skout users’ mobility patterns on a global scale: a data-driven study: a data-driven study. World Wide Web-Internet and Web Information Systems, 22(6):2655–2673, 11 2019.
  269. Dianlei Xu, Amit Samanta, Yong Li, Manzoor Ahmed, Jianbo Li, and Pan Hui. Network Coding For Data Delivery in Caching at Edge: Concept, Model, and Algorithms. IEEE Transactions on Vehicular Technology, 68(10):10066–10080, 10 2019.
  270. Pengfei Xu and Jiaheng Lu. Towards a unified framework for string similarity joins. Proceedings of the VLDB Endowment, 12(11):1289–1302, 7 2019.
  271. Pengfei Xu and Jiaheng Lu. Efficient string similarity join with taxonomy knowledge. Knowledge and Information Systems, 12 2019.
  272. Ronghui You, Shuwei Yao, Yi Xiong, Xiaodi Huang, Fengzhu Sun, Hiroshi Mamitsuka, and Shanfeng Zhu. NetGO: improving large-scale protein function prediction with massive network information. Nucleic Acids Research, 47(W1):W379–W387, 7 2019.
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  276. Guangyou Zhou, Yizhen Fang, Yehong Peng, and Jiaheng Lu. Neural Conversation Generation with Auxiliary Emotional Supervised Models. ACM Transactions on Asian Language Information Processing, 19(2), 2019.
  277. Chao Zhu, Yi-Han Chiang, Abbas Mehrabi, Yu Xiao, Antti Yla-Jaaski, and Yusheng Ji. Chameleon: Latency and Resolution Aware Task Offloading for Visual-Based Assisted Driving. IEEE Transactions on Vehicular Technology, 68(9):9038–9048, 9 2019.
  278. Chao Zhu, Jin Tao, Giancarlo Pastor Figueroa, Yu Xiao, Yusheng Ji, Quan Zhou, Yong Li, and Antti Ylä-Jääski. Folo: Latency and Quality Optimized Task Allocation in Vehicular Fog Computing. IEEE Internet of Things Journal, 6(3):4150 — 4161, 6 2019.
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Articles in international edited works and conference proceedings with referee practice
  1. O. Abramenko and A. Jung. Graph Signal Sampling via Reinforcement Learning. In 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019; Brighton; United Kingdom; 12-17 May 2019 : Proceedings, pages 3077–3081, United States, 5 2019. IEEE.
  2. Florian Adriaens, Cigdem Aslay, Tijl De Bie, Aristides Gionis, and Jefrey Lijffijt. Discovering Interesting Cycles in Directed Graphs. In CIKM 2019 – Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pages 1191–1200. ACM, 11 2019.
  3. Homayun Afrabandpey, Tomi Peltola, and Samuel Kaski. Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, pages 1959–1966. International Joint Conferences on Artificial Intelligence, 7 2019.
  4. Gizem Akman, Valtteri Niemi, and Philip Ginzboorg. AKMA Support in Multi SIM User Equipment. In Valtteri Niemi and Tatiana Tyutina, editors, Proceedings of the 25th Conference of Open Innovations Association FRUCT, FRUCT 2019, pages 15–24, United States, 11 2019. IEEE Computer Society.
  5. Khalid Alnajjar, Leo Leppänen, and Hannu Toivonen. No Time Like the Present: Methods for Generating Colourful and Factual Multilingual News Headlines. In Kazjon Grace, Michael Cook, Dan Ventura, and Mary Lou Maher, editors, Proceedings of the 10th International Conference on Computational Creativity, pages 258–265, Portugal, 6 2019. Association for Computational Creativity.
  6. Henrik Ambos, Nguyen Tran, and Alexander Jung. Classifying Big Data over Networks Via the Logistic Network Lasso. In Michael B. Matthews, editor, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, volume 2018-October, pages 855–858. IEEE Computer Society Press, 2 2019.
  7. Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, and Nazar Zaki. Multi-stream Convolutional Networks for Indoor Scene Recognition. In Mario Vento and Gennaro Percannella, editors, Computer Analysis of Images and Patterns – 18th International Conference, CAIP 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 196–208. Springer, 1 2019.
  8. Ektor Arzoglou, Tommi Elo, and Pekka Nikander. The case of iOS and Android: Applying system dynamics to digital business platforms. In Jack J. Dongarra, João M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, and Peter M.A. Sloot, editors, Computational Science – ICCS 2019 – 19th International Conference, 2019, Proceedings, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 499–506. Springer, 1 2019.
  9. N. Asokan. Hardware-assisted Trusted Execution Environments Look Back, Look Ahead. pages 1687–1687, 2019. ACM Conference on Computer and Communications Security, CCS.
  10. Buse Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, and N. Asokan. Extraction of Complex DNN Models: Real Threat or Boogeyman? In The AAAI-20 Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS), pages 1–8, 12 2019.
  11. Mikko Aulamo, Umut Sulubacak, Sami Virpioja, and Jörg Tiedemann. OpusTools and Parallel Corpus Diagnostics. In Proceedings of the 12th Language Resource and Evaluation Conference, France, 12 2019. European Language Resources Association (ELRA).
  12. Mikko Aulamo and Jörg Tiedemann. The OPUS Resource Repository: An Open Package for Creating Parallel Corpora and Machine Translation Services. In Mareike Hartmann and Barbara Plank, editors, 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), number 167 in Linköping Electronic Conference Proceedings, page 389–394, Sweden, 2019. Linköping University Electronic Press.
  13. Mikko Juhani Aulamo, Mathias Johan Philip Creutz, and Eetu Ilari Sjöblom. Annotation of subtitle paraphrases using a new web tool. In Costanza Navarretta, Manex Agirrezabal, and Bente Maegaard, editors, Digital Humanities in the Nordic Countries, number 2364 in CEUR Workshop Proceedings, pages 33–48, Germany, 5 2019.
  14. Matthias Aulbach, Ville Johannes Harjunen, Michiel Spape, Keegan Knittle, Ari Haukkala, and Niklas Ravaja. Electrophysiological correlates of response inhibition training on high and low calorie food cues. 2019. 33rd Annual Conference of the European Health Psychology Society, EHPS 2019.
  15. Per Austrin, Petteri Kaski, and Kaie Kubjas. Tensor network complexity of multilinear maps. In Avrim Blum, editor, 10th Innovations in Theoretical Computer Science, ITCS 2019, Leibniz International Proceedings in Informatics, LIPIcs, pages 1–21, Germany, 1 2019. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.
  16. Minja Axelsson, Mattia Racca, Daryl Weir, and Ville Kyrki. A Participatory Design Process of a Robotic Tutor of Assistive Sign Language for Children with Autism. In Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019, United States, 10 2019. IEEE.
  17. Amin Babadi, Kourosh Naderi, and Perttu Hämäläinen. Self-Imitation Learning of Locomotion Movements through Termination Curriculum. In Proceedings – MIG 2019, pages 21–27. ACM, 10 2019.
  18. Rosa Ballardini, Kan He, and Teemu Roos. AI-generated content: Authorship and inventorship in the age of artificial intelligence. In Taina Pihlajarinne, Juha Vesala, and Olli Hokkila, editors, Online Distribution of Content in the EU, pages 117–135, United Kingdom, 2019. Edward Elgar.
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  302. William J. Wilkinson, Michael Riis Andersen, Joshua D. Reiss, Dan Stowell, and Arno Solin. Unifying Probabilistic Models for Time-frequency Analysis. In 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, pages 3352–3356, United States, 5 2019. IEEE.
  303. Cagatay Yildiz, Markus Heinonen, and Harri Lähdesmäki. ODE2VAE: Deep generative second order ODEs with Bayesian neural networks. In 33rd Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems. Neural Information Processing Systems Foundation, 2019.
  304. Katariina Yrjönkoski, H. Jaakkola, K. Systä, Tommi Mikkonen, and J. Henno. Software business: A short history and trends for the future. In Proceedings of the Eighth Workshop on Software Quality Analysis, Monitoring, Improvement, and Applications, volume 2508, 2019.
  305. Zhengqi Yu, Armin Biere, and Keijo Heljanko. Certifying Hardware Model Checking Results. In Yamine Ait-Ameur and Shengchao Qin, editors, Formal Methods and Software Engineering, Lecture Notes in Computer Science, pages 498–502, Switzerland, 10 2019. Springer International Publishing AG.
  306. Chien yu Huang, Arlene Casey, Dorota Glowacka, and Alan Medlar. Holes in the Outline: Subject-dependent Abstract Quality and its Implications for Scientific Literature Search. In CHIIR ’19, pages 289–293, United States, 2019. ACM.
  307. Aleksandr Zavodovski, Suzan Bayhan, Nitinder Mohan, Pengyuan Zhou, Walter Wong, and Jussi Kangasharju. DeCloud: Truthful Decentralized Double Auction for Edge Clouds. In 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pages 2157–2167, United States, 7 2019. IEEE.
  308. Aleksandr Zavodovski, Nitinder Mohan, Suzan Bayhan, Walter Wong, and Jussi Kangasharju. ExEC: Elastic Extensible Edge Cloud. In Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking, pages 24–29, International, 3 2019. ACM.
  309. Aleksandr Zavodovski, Nitinder Mohan, Walter Wong, and Jussi Kangasharju. Open Infrastructure for Edge: A Distributed Ledger Outlook. In 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19), pages 1–7, United States, 7 2019. Usenix : the advanced computing systems association.
  310. Chao Zhang, Jiaheng Lu, Pengfei Xu, and Yuxing Chen. UniBench: A Benchmark for Multi-Model Database Management Systems. In Raghunath Nambiar and Meikel Poess, editors, Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, Lecture Notes in Computer Science, pages 7–23, United States, 2019. Springer.
  311. Mingyang Zhang, T. Li, H. Shi, Y. Li, and P. Hui. A decomposition approach for urban anomaly detection across spatiotemporal data. In S. Kraus, editor, IJCAI International Joint Conference on Artificial Intelligence, pages 6043–6049, International, 2019. International Joint Conferences on Artificial Intelligence.
  312. Yige Zhang, Yu Xiao, Kai Zhao, and Weixiong Rao. DeepLoc: Deep Neural Network-based Telco Localization. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, pages 258–267. ACM, 2019.
  313. Sha Zhao, Yong Li, Sasu Tarkoma, Zhiwen Yu, Anind K. Dey, and Gang Pan. AppLens 2019: the 2nd International Workshop on Mining and Learning from Smartphone Apps for Users. In UbiComp/ISWC ’19 Adjunct, pages 418–421, United States, 2019. ACM.
  314. Pengyuan Zhou, Tristan Braud, Ahmad Alhilal, Pan Hui, and Jussi Kangasharju. ERL: Edge Based Reinforcement Learning for Optimized Urban Traffic Light Control. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pages 849–854, United States, 2019. IEEE.
  315. Pengyuan Zhou, Wenxiao Zhang, Tristan Braud, Pan Hui, and Jussi Kangasharju. Enhanced Augmented Reality Applications in Vehicle-to-Edge Networks. In A Galis, F Guillemin, R Noldus, S Secci, F Idzikowski, and MF Sayit, editors, Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), pages 167–174, United States, 2019. IEEE.
  316. Chao Zhu, Abbas Mehrabi, Yu Xiao, and Yinghong Wen. CrowdParking: Crowdsourcing based parking navigation in autonomous driving era. In Proceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019, pages 1401–1405, United States, 9 2019. IEEE.
  317. Agustin Zuniga, Huber Flores, Pan Hui, Jukka Manner, and Petteri Nurmi. Tortoise or hare? Quantifying the effects of performance on mobile app retention. In Proceedings of the World Wide Web Conference (WWW ’19), pages 2517–2528. ACM, 5 2019.
Scientific monographs and edited books
  1. Hiroshi Mamitsuka. Machine Learning for Marketing. Global Data Science Publishing, 6 2019.
  2. Jari Saramäki and Petter Holme. Temporal Network Theory. Computational Social Sciences. Springer, 10 2019.
  3. Simo Särkkä and Arno Solin. Applied Stochastic Differential Equations. Institute of Mathematical Statistics Textbooks. Cambridge University Press, United Kingdom, 4 2019.
Other publications
  1. Fahiem Bacchus, Matti Järvisalo, and Ruben Martins. MaxSAT Evaluation 2019: Solver and Benchmark Descriptions. Department of Computer Science Report Series B. Department of Computer Science, University of Helsinki, Finland, 2019.
  2. Asta Bäck, Nicholas Diakopoulos, Mark Granroth-Wilding, Lauri Haapanen, Leo Juhani Leppänen, Magnus Melin, Tom Arne Moring, Myriam Douce Munezero, Stefanie Joanna Siren-Heikel, Caj Södergård, and Hannu Toivonen. News Automation: The rewards, risks and realities of ‘machine journalism’. World Association of Newspapers and News Publishers, WAN-IFRA, Germany, 3 2019.
  3. Patrik Floréen. Tarvitsemmeko koulutusta tekoälyn etiikasta? Tekoalyaika.fi, 2 2019. Blog in Finnish and English at the government program tekoalyaika.fi website 28.2.2019.
  4. Patrik Floreen, Ville Kotovirta, and Terhi Kajaste. Kohti todellista tekoälyä. Automaatioväylä, 2019(2):31–33, 2019.
  5. Marijn J.H. Heule, Matti Järvisalo, and Martin Suda. Proceedings of SAT Race 2019: Solver and Benchmark Descriptions, volume B-2019-1 of Department of Computer Science Report Series B. Department of Computer Science, University of Helsinki, Finland, 2019.
  6. Eero Hyvönen. Historiallinen paikkatieto semanttisessa webissä: Biografiasampo. Positio, (1), 2 2019.
  7. Mikko Kivelä, Fintan McGee, Guy Melancon, Nathalie Henry Riche, and Tatiana von Landesberger. Visual Analytics of Multilayer Networks Across Disciplines: (Dagstuhl Seminar 19061). Number 2 in Dagstuhl Reports. Schloss Dagstuhl – Leibniz Center for Informatics, 2019.
  8. Daniel Le Berre and Matti Järvisalo. Proceedings of Pragmatics of SAT 2015 and 2018. EPiC Series in Computing, Volume 59. Easychair, 3 2019.
  9. Matti Nelimarkka. Aihemallinnus sekä muut ohjaamattomat koneoppimismenetelmät yhteiskuntatieteellisessä tutkimuksessa: kriittisiä havaintoja. Politiikka : Valtiotieteellisen yhdistyksen julkaisu, 61(1):6–33, 2019.
  10. Pekka Nikander and Tommi Elo. Will the data markets necessarily fail? 2019.
  11. Pekka Orponen. Kohti avointa tiedettä. In Ilari Hetemäki, Hannu Koskinen, Tuija Pulkkinen, and Esa Väliverronen, editors, Kaikenlaista rohkeutta, pages 64–65, Suomi, 2019. Gaudeamus.
  12. Anna-Mari Rusanen. Pikseleitä, kohinaa ja haurautta. Niin & näin : filosofinen aikakauslehti, 26(3):47–53, 2019.
  13. Ali Salloum, Tuomas Takko, Markus Peuhkuri, Raimo Kantola, and Mikko Kivelä. Botit ja informaatiovaikuttaminen Twitterissä Suomen eduskunta- ja EU-vaaleissa 2019 – ELEBOT-hanke. Aalto-yliopiston julkaisusarja CROSSOVER, 5/2019.
  14. Olli Seppänen, Jianyu Zhao, Behnam Badihi Olyaei, Marius Noreikis, Yu Xiao, Riku Jäntti, Vishal Singh, and Antti Peltokorpi. Intelligent Construction Site (ICONS) Project Final report. Aalto University, Building 2030 project, 1 2019.
  15. Sanna Syri, Mari Lundström, Teemu Malmi, Tuukka Saarimaa, Susanna Helke, Samuel Kaski, Markus Mäkelä, Milos Mladenovic, and Heikki Remes. Aaltovaikutus = The Aalto Effect. Aalto-yliopiston julkaisusarja CROSSOVER, 5/2019.
  16. Hannu Toivonen. HS mielipide: Luova tekoäly pystyy muuhunkin kuin matkimiseen: Luovuuden keskeinen kriteeri on uutuus tai yllättävyys. Helsingin Sanomat, 5 2019.
  17. Hannu Toivonen. Naisista, Kuusta ja tietokoneista. Suomen Kuvalehti, 103(31):60, 8 2019.
  18. Hannu Toivonen. Tekoäly vai tukiäly? In Ilari Hetemäki, Hannu Koskinen, Tuija Pulkkinen, and Esa Väliverronen, editors, Kaikenlaista rohkeutta, pages 62–63, Suomi, 2019. Gaudeamus.
  19. Mikko Sakari Tolonen. Digitaalisuus ja rohkeus ihmistieteissä. In Ilari Hetemäki, Hannu Koskinen, Tuija Pulkkinen, and Esa Väliverronen, editors, Kaikenlaista rohkeutta, Suomi, 2019. Gaudeamus.
Computer programs and algorithms
  1. Jeremias Berg, Peter Stuckey, and Emir Emir Demirović. Loandra, Core-Boosted Linear Search for incomplete MaxSAT, 2019.
  2. Andreas Niskanen and Matti Järvisalo. Taeydennae (version 2019-10-20): SAT-based Reasoner for Incomplete Argumentation Frameworks, 11 2019.
  3. Andreas Niskanen and Matti Järvisalo. µ-toksia (version 2019-10-31): SAT-based Solver for Static and Dynamic Argumentation Frameworks, 12 2019.
  4. Jukka K Nurminen, Tommi Mikkonen, Antti Juhani Röyskö, Silvennoinen Juuso, Juha Tuomas Mylläri, Juha Arvo Mikael Harviainen, and Tuomas Halvari. dpEmu, 2019.
Doctoral theses
  1. Alexander Grigorievskiy. Advances in Randomly-Weighted Neural Networks and Temporal Gaussian Processes. PhD thesis, Aalto University, 2019.
  2. Marcelo Hartmann. Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models. PhD thesis, University of Helsinki, 2019.
  3. Murtaza Hazara. Incremental and Transfer Learning of Contextual Skill Model for Robots. PhD thesis, Aalto University, 2019.
  4. Samuli Hemminki. Advances in Motion Sensing on Mobile Devices. PhD thesis, University of Helsinki, 2019.
  5. Mika Juuti. Access Control and Machine Learning: Evasion and Defenses. PhD thesis, Aalto University, 2019.
  6. Ilpo Järvinen. Congestion Control and Active Queue Management During Flow Startup. PhD thesis, University of Helsinki, 2019.
  7. Anna Kantosalo. Human-Computer Co-Creativity: Designing, Evaluating and Modelling Computational Collaborators for Poetry Writing. PhD thesis, University of Helsinki, 2019.
  8. Reima Karhila. Building personalised speech technology systems with sparse, bad quality or out-of-domain data. PhD thesis, Aalto University, 2019.
  9. Kimmo Karvinen. Lowering barriers on embedded system design – Turning innovations into prototypes. PhD thesis, Aalto University, 2019.
  10. Toni Karvonen. Kernel-Based and Bayesian Methods for Numerical Integration. PhD thesis, Aalto University, 2019.
  11. Olli-Pekka Koistinen. Algorithms for Finding Saddle Points and Minimum Energy Paths Using Gaussian Process Regression. PhD thesis, Aalto University, 2019.
  12. Aapo Koski. On the Provisioning of Mission Critical Information Systems based on Public Tenders. PhD thesis, University of Helsinki, 2019.
  13. Juho Leinonen. Keystroke Data in Programming Courses. PhD thesis, University of Helsinki, 2019.
  14. Jarno Lintusaari. Steps Forward in Approximate Computational Inference. PhD thesis, Aalto University, 2019.
  15. Marius Noreikis. Enabling Ubiquitous Augmented Reality with Crowdsourced Indoor Mapping and Localization. PhD thesis, Aalto University, 2019.
  16. Juho Piironen. Bayesian Predictive Inference and Feature Selection for High-Dimensional Data. PhD thesis, Aalto University, 2019.
  17. Sami Remes. Modelling non-stationary functions with Gaussian processes. PhD thesis, Aalto University, 2019.
  18. Paul Saikko. Implicit Hitting Set Algorithms for Constraint Optimization. PhD thesis, University of Helsinki, 2019.
  19. Kari Salo. Modular Audio Platform for Youth Engagement in a Museum Context. PhD thesis, University of Helsinki, 2019.
  20. Luiza Sayfullina. Machine Learning Methods for Classification of Unstructured Data. PhD thesis, Aalto University, 2019.
  21. Max Sjöblom. Spectating play – Investigating motivations for watching others play games. PhD thesis, Aalto University, 2019.
  22. Peter Smit. Modern subword-based models for automatic speech recognition. PhD thesis, Aalto University, 2019.
  23. Markku Suomalainen. Learning compliant assembly skills from demonstrations. PhD thesis, Aalto University, 2019.
  24. Topi Talvitie. Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks. PhD thesis, University of Helsinki, 2019.
  25. Sezin Yaman. Initiating the Transition towards Continuous Experimentation: Empirical Studies with Software Development Teams and Practitioners. PhD thesis, University of Helsinki, 2019.