FCAI publications 1.1–30.4.2018
 

  1. Lauri Ahonen, Benjamin Ultan Cowley, Arto Hellas, and Kai Puolamäki. Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environmentScientific Reports, 8(1), 2018.
  2. Rao Muhammad Anwer, Fahad Shahbaz Khan, Joost van de Weijer, Matthieu Molinier, and Jorma Laaksonen. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classificationISPRS Journal of Photogrammetry and Remote Sensing, 138: 74–85, 2018.
  3. Brian J. Arnold, Michael U. Gutmann, Yonatan H. Grad, Samuel K. Sheppard, Jukka Corander, Marc Lipsitch, and William P. Hanage. Weak Epistasis May Drive Adaptation in Recombining BacteriaGenetics, 208(3): 1247–1260, 2018.
  4. Oswald Barral, Ilkka Kosunen, and Giulio Jacucci. No Need to Laugh Out Loud: Predicting Humor Appraisal of Comic Strips Based on Physiological Signals in a Realistic EnvironmentACM Transactions on Computer - Human Interaction, 24(6), 2018.
  5. Pedram Daee, Tomi Peltola, Aki Vehtari, and Samuel Kaski. User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for PredictionAssociation for Computing Machinery (ACM), 305–310, 2018.
  6. Bram Flahou, Mirko Rossi, Jaco Bakker, Jan A. M. Langermans, Edwin Heuvelman, Jay V. Solnick, Miriam E. Martin, Jani O'Rourke, Le Duc Ngoan, Nguyen Xuan Hoa, Masahiko Nakamura, Anders Overby, Hidenori Matsui, Hiroyoshi Ota, Takehisa Matsumoto, Dennis L. Foss, Laurice A. Kopta, Oladipo Omotosho, Maria Pia Franciosini, Patrizia Casagrande Proietti, Aizhen Guo, Han Liu, Gabriela Borilova, Ana Paula Bracarense, Sara K. Linden, Sofie De Bruyckere, Guangzhi Zhang, Chloe De Witte, Annemieke Smet, Frank Pasmans, Richard Ducatelle, Jukka Corander, and Freddy Haesebrouck. Evidence for a primate origin of zoonotic Helicobacter suis colonizing domesticated pigsISME Journal, 12(1): 77–86, 2018.
  7. Michael U. Gutmann, Ritabrata Dutta, Samuel Kaski, and Jukka Corander. Likelihood-free inference via classificationStatistics and Computing, 28(2): 411–425, 2018.
  8. Michael U. Gutmann. Introduction to Probabilistic Modelling. 2018.
  9. Tuomas Mikael Heikkilä and Teemu Teppo Roos. Quantitative Methods for the Analysis of Medieval Calendars. Digital Scholarship in the Humanities: DSH, in  press, 2018.
  10. Markus Heinonen, Cagatay Yildiz, Henrik Mannerström, Jukka Intosalmi, and Harri Lähdesmäki. Learning unknown ODE models with Gaussian processes. 2018.
  11. Antti Honkela, Mrinal Das, Arttu Nieminen, Onur Dikmen, and Samuel Kaski. Efficient differentially private learning improves drug sensitivity predictionBiology Direct, 13(1): 1–12, 2018.
  12. Pan Hui, Yang Chen, Hu Jiao, Z. Hao, and Yu Xiao. Measurement and Analysis of the Swarm Social Network with Tens of Millions of NodesIEEE Access, 6: 4547–4559, 2018.
  13. Emmi Jokinen, Markus Heinonen, and Harri Lähdesmäki. mGPfusion: Predicting protein stability changes with Gaussian process kernel learning and data fusionBioinformatics, 2018.
  14. Niina Lietzén, Lu Cheng, Robert Moulder, Heli Siljander, Essi Laajala, Taina Härkönen, Aleksandr Peet, Aki Vehtari, Vallo Tillmann, Mikael Knip, Harri Lähdesmäki, and Riitta Lahesmaa. Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhoodScientific Reports, 8(1): 1–13, 2018.
  15. Jian Liu, Duan Li, Yong Li, and N. Asokan. Secure Deduplication of Encrypted Data: Refined Model and New ConstructionsTopics in Cryptology – CT-RSA 2018: 374–393, 2018.
  16. Brandon Malone, Kustaa Kangas, Matti Järvisalo, Mikko Koivisto, and Petri Myllymäki. Empirical Hardness of Finding Optimal Bayesian Network Structures: Algorithm Selection and Runtime PredictionMachineLearning, 107(1): 247–283, 2018.
  17. Elsa Marques, Tomi Peltola, Samuel Kaski, and Juha Klefström. Phenotype-driven identification of epithelial signalling clustersScientific Reports, 8(1): 1–13, 2018.
  18. Guillaume Méric, Alan McNally, Alberto Pessia, Evangelos Mourkas, Ben Pascoe, Leonardos Mageiros, Minna Emilia Vehkala, Jukka Ilmari Corander, and Samuel K. Shepard. Convergent amino acid signatures in polyphyletic Campylobacter jejuni subpopulations suggest human niche tropismGenome Biology and Evolution, 10(3): 763–774, 2018.
  19. Zhonghong Ou, Meina Song, Zhen Huan Hwang, Antti Ylä-Jääski, Ren Wang, Yong Cui, and Pan Hui. Is cloud storage ready? Performance comparison of representative IP-based storage systemsJournal of Systems and Software, 138: 206–221, 2018.
  20. Andrew Paverd, Sandeep Tamrakar, Hoang Long Nguyen, Praveen Pendyala, Thien Duc Nguyen, Elizabeth Stobert, Tommi Gröndahl, N. Asokan, and Ahmad-Reza Sadeghi. OmniShare: Encrypted Cloud Storage for the Multi-Device EraIEEE Internet Computing, 2018.
  21. Alberto Pessia and Jukka Ilmari Corander. Kpax3: Bayesian bi-clustering of large sequence datasetsBioinformatics, 2018.
  22. Juho Piironen and Aki Vehtari. Iterative Supervised Principal ComponentsProceedings of Machine Learning Research(PMLR) 84: 106–114, 2018.
  23. Lidia Pivovarova, Arto Olavi Klami, and Roman Yangarber. Entity-oriented polarity detection in business news. Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, in press 2018.
  24. Olli Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, and Sture Andersson. Gaussian process classification for prediction of in-hospital mortality among preterm infantsNeurocomputing, 2018.
  25. Rakshith Shetty, Hamed Rezazadegan Tavakoli, and Jorma Laaksonen. Image and Video Captioning with Augmented Neural ArchitecturesIEEE Multimedia, 2018.
  26. Jussi Tarvainen, Jorma Laaksonen, and Tapio Takala. Film mood and its quantitative determinants in different types of scenesIEEE Transactions on Affective Computing, 2018.
  27. Juho Timonen, Henrik Mannerström, Harri Lähdesmäki, and Jukka Intosalmi. A probabilistic framework for molecular network structure inference by means of mechanistic modelingIEEE-ACM Transactions on Computational Biology and Bioinformatics, 2018.
  28. Jukka Mikael Toivanen, Matti Juhani Järvisalo, Olli Markus Alm, Dan Ventura, Martti Tapani Vainio, and Hannu Tauno Tapani Toivonen. Towards Transformational Creation of Novel SongsConnection Science, 2018.
  29. Aurora Elizabeth Tulilaulu, Matti Nelimarkka, Joonas Paalasmaa, Daniel Johnson, Dan Ventura, Petri Juhani Myllys, and Hannu Tauno Tapani Toivonen. Data MusicalizationACM Transactions on Multimedia Computing Communications and Applications, 14(2): 47:1–47:27, 2018.
  30. Ullah Ubaid Ullah, Syed Bilal Ahmad Andrabi, Subhash Kumar Tripathi, Obaiah Dirasantha, Kartiek Kanduri, Sini Rautio, Catharina C. Gross, Sari Lehtimäki, Kanchan Bala, Johanna Tuomisto, Urvashi Bhatia, Deepankar Chakroborty, Laura L. Elo, Harri Lähdesmäki, Heinz Wiendl, Omid Rasool, and Riitta Lahesmaa. Transcriptional Repressor HIC1 Contributes to Suppressive Function of Human Induced Regulatory T CellsCell Reports, 22(8): 2094–2106, 2018.
  31. Christian Vaas, Mika Juuti, N. Asokan, and Ivan Martinovic. Get in Line: Ongoing Co-Presence Verification of a Vehicle Formation Based on Driving Trajectories. IEEE, 4 2018.
  32. Ping Xiao, Hannu Tauno Tapani Toivonen, Oskar Gross, et al. Conceptual Representations for Computational Concept CreationACM Computing Surveys, 2018.