Samuel Kaski

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Samuel Kaski

 https://orcid.org/0000-0003-1925-9154

    • Aalto SCI Computer Science Konemiehentie 2

    1993 …2025

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    • 2020

      Projective Preferential Bayesian Optimization

      Mikkola, P., Todorovic, M., Järvi, J., Rinke, P. & Kaski, S., 21 Nov 2020, 37th International Conference on Machine Learning, ICML 2020. International Machine Learning Society , p. 6840-6848 9 p. (Proceedings of Machine Learning Research).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      8 Citations (Scopus)
      70 Downloads (Pure)

    • Rethinking pooling in graph neural networks

      Mesquita, D., Souza, A. & Kaski, S., 2020, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). Morgan Kaufmann Publishers, (Advances in neural information processing systems; vol. 33).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      95 Downloads (Pure)

    • Scalable Probabilistic Matrix Factorization with Graph-­Based Priors

      Strahl, J., Peltonen, J., Mamitsuka, H. & Kaski, S., 3 Apr 2020, Proceedings of AAAI-20, AAAI Conference on Artificial Intelligence. AAAI Press, p. 5851-5858 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
    • 2019

      Active Learning for Decision-Making from Imbalanced Observational Data

      Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2019, 36th International Conference on Machine Learning, ICML 2019. JMLR, p. 10578-10587 10 p. (Proceedings of Machine Learning Research; vol. 97).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      86 Downloads (Pure)

    • Deep learning with differential Gaussian process flows

      Hegde, P., Heinonen, M., Lähdesmäki, H. & Kaski, S., Apr 2019, The 22nd International Conference on Artificial Intelligence and Statistic. JMLR, Vol. 89. p. 1-15 16 p. (Proceedings of Machine Learning Research; vol. 89).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      15 Citations (Scopus)
      114 Downloads (Pure)

    • Embarrassingly parallel MCMC using deep invertible transformations

      Mesquita, D., Blomstedt, P. & Kaski, S., 2019, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference. JMLR, (Proceedings of Machine Learning Research ; vol. 115).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      5 Citations (Scopus)
      65 Downloads (Pure)

    • Harmonizable mixture kernels with variational Fourier features

      Shen, Z., Heinonen, M. & Kaski, S., May 2019, The 22nd International Conference on Artificial Intelligence and Statistics. JMLR, p. 1812-1821 (Proceedings of Machine Learning Research; vol. 89).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      9 Citations (Scopus)
      99 Downloads (Pure)

    • Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

      Afrabandpey, H., Peltola, T. & Kaski, S., Jul 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. IJCAI, p. 1959-1966 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      3 Citations (Scopus)

    • Learning Image Relations with Contrast Association Networks

      Lu, Y., Yang, Z., Kannala, J. & Kaski, S., 1 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. IEEE, 7 p. 8852344. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      1 Citation (Scopus)

    • Machine Teaching of Active Sequential Learners

      Peltola, T., Çelikok, M. M., Daee, P. & Kaski, S., 28 Nov 2019, 33rd Conference on Neural Information Processing Systems: NeurIPS 2019 . Neural Information Processing Systems Foundation, p. 11202-11213 12 p. (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access

    • Scalable Bayesian non-linear matrix completion

      Qin, X., Blomstedt, P. & Kaski, S., 1 Jan 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). IJCAI, p. 3275-3281 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
    • 2018

      Probabilistic Formulation of the Take The Best Heuristic

      Peltola, T., Jokinen, J. & Kaski, S., 2018, CogSci 2018 Proceedings . Cognitive Science Society, p. 2214-2219

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    • User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

      Daee, P., Peltola, T., Vehtari, A. & Kaski, S., 8 Mar 2018, IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces. ACM, p. 305-310 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      15 Citations (Scopus)
      173 Downloads (Pure)

    • Variational zero-inflated Gaussian processes with sparse kernels

      Hegde, P., Heinonen, M. & Kaski, S., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Association for Uncertainty in Artificial Intelligence, Vol. 1. p. 361-371 148

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      4 Citations (Scopus)
    • 2017

      A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings

      Remes, S., Heinonen, M. & Kaski, S., Nov 2017, Proceedings of the 9th Asian Conference on Machine Learning. Zhang, M.-L. & Noh, Y.-K. (eds.). JMLR, p. 455-470 16 p. (Proceedings of Machine Learning Research; vol. 77).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      2 Citations (Scopus)
      82 Downloads (Pure)

    • BCI for physiological text annotation

      Barral, O., Kosunen, I., Ruotsalo, T., Spapé, M. M., Eugster, M. J. A., Ravaja, N., Kaski, S. & Jacucci, G., 13 Mar 2017, BCIforReal 2017 - Proceedings of the 2017 ACM Workshop on An Application-Oriented Approach to BCI Out of the Laboratory, co-located with IUI 2017. ACM, p. 9-13 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      1 Citation (Scopus)

    • Convex factorization machine for toxicogenomics prediction

      Yamada, M., Lian, W., Goyal, A., Chen, J., Wimalawarne, K., Khan, S. A., Kaski, S., Mamitsuka, H. & Chang, Y., 13 Aug 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, p. 1215-1224 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      26 Citations (Scopus)

    • Differentially Private Bayesian Learning on Distributed Data

      Heikkilä, M. A., Lagerspetz, E., Kaski, S., Shimizu, K., Tarkoma, S. & Honkela, A., 2017, Advances in Neural Information Processing Systems 30: Proceedings of NIPS 2017. Curran Associates Inc., p. 3227-3236 10 p. (Advances in Neural Information Processing Systems; vol. 30).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      36 Citations (Scopus)

    • Inference of Strategic Behavior based on Incomplete Observation Data

      Kangasrääsiö, A. & Kaski, S., 8 Dec 2017, NIPS17 Workshop: Learning in the Presence of Strategic Behavior. Carnegie Mellon University, 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

      Open Access
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      120 Downloads (Pure)

    • Inferring Cognitive Models from Data using Approximate Bayesian Computation

      Kangasrääsiö, A., Athukorala, K., Howes, A., Corander, J., Kaski, S. & Oulasvirta, A., 9 May 2017, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, p. 1295-1306 12 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      46 Citations (Scopus)
      222 Downloads (Pure)

    • Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

      Micallef, L., Sundin, I., Marttinen, P., Ammad-Ud-Din, M., Peltola, T., Soare, M., Jacucci, G. & Kaski, S., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, p. 547-552 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      23 Citations (Scopus)

    • Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction

      Afrabandpey, H., Peltola, T. & Kaski, S., 10 Jul 2017, Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization . Bratislava, Slovakia: ACM, p. 265-269 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      6 Citations (Scopus)

    • Localized Lasso for High-Dimensional Regression

      Yamada, M., Koh, T., Iwata, T., Shawe-Taylor, J. & Kaski, S., 1 Aug 2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. Singh, A. & Zhu, J. (eds.). Fort Lauderdale, FL, USA: JMLR, p. 325-333 9 p. (Proceedings of Machine Learning Research; vol. 54).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      45 Downloads (Pure)

    • Modelling Human Decision-making based on Aggregate Observation Data

      Kangasrääsiö, A. & Kaski, S., 2017, Human In The Loop-ML Workshop at ICML. Sydney: Human in the Loop Machine Learning , 4 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

      Open Access
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      107 Downloads (Pure)

    • Non-Stationary Spectral Kernels

      Remes, S., Heinonen, M. & Kaski, S., 2017, Advances in Neural Information Processing Systems 30: Proceedings of NIPS2017. Curran Associates Inc., p. 4645-4654 (Advances in Neural Information Processing Systems; vol. 30).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      66 Citations (Scopus)

    • Regression with n → 1 by expert knowledge elicitation

      Soare, M., Ammad-Ud-din, M. & Kaski, S., 31 Jan 2017, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. IEEE, p. 734-739 6 p. 7838235

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
      3 Citations (Scopus)
    • 2016

      A Robust Convex Formulation for Ensemble Clustering

      Gao, J., Yamada, M., Kaski, S., Mamitsuka, H. & Zhu, S., Jul 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16). Kambhampati, S. (ed.). 2275 East Bayshore Road, Suite 160, Palo Alto CA 94303 USA: AAAI Press, p. 1476-1482 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      Open Access
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      4 Citations (Scopus)
      138 Downloads (Pure)

    • Bayesian Networks for Variable Groups

      Parviainen, P. & Kaski, S., 2016, JMLR: Workshop and Conference Proceedings. JMLR, Vol. 52. p. 380-391 (JMLR: Workshop and Conference Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      4 Citations (Scopus)

    • Classification of weak multi-view signals by sharing factors in a mixture of Bayesian group factor analyzers

      Remes, S., Mononen, T. & Kaski, S., 14 May 2016, Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015. Rish, I., Wehbe, L., Langs, G., Grosse-Wentrup, M., Murphy, B. & Cecchi, G. (eds.). https://arxiv.org/abs/1605.04435, 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

      Open Access

    • Interactive intent modeling from multiple feedback domains

      Daee, P., Pyykkö, J., Glowacka, D. & Kaski, S., 7 Mar 2016, International Conference on Intelligent User Interfaces, Proceedings IUI. ACM, Vol. 07-10-March-2016. p. 71-75 5 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      14 Citations (Scopus)

    • Interactive modeling of concept drift and errors in relevance feedback

      Kangasrääsiö, A., Chen, Y., Głowacka, D. & Kaski, S., 13 Jul 2016, UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization. ACM, p. 185-193 9 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      8 Citations (Scopus)

    • Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

      Heinonen, M., Mannerström, H., Rousu, J., Kaski, S. & Lähdesmäki, H., 2016, Proceedings of the 19th International Conference on Artificial Intelligence and Statistics: JMLR: W&CP. JMLR, p. 732-740 9 p. ( JMLR: Workshop and Conference Proceedings; vol. 51).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    • Personalization of Search Results using Interactive Intent Modeling

      Kangasrääsiö, A., Głowacka, D. & Kaski, S., 24 Jun 2016, ICML 2016 Workshop on Computational Frameworks for Personalization. 6 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      File
      287 Downloads (Pure)

    • Preliminary studies on personalized preference prediction from gaze in comparing visualizations

      Rezazadegan Tavakoli, H., Poostchimohammadabadi, H., Peltonen, J., Laaksonen, J. & Kaski, S., 2016, Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II. Springer, p. 576-585 (Lecture Notes in Computer Science; vol. 10073).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      2 Citations (Scopus)

    • Visualizations relevant to the user by multi-view latent variable factorization

      Virtanen, S., Afrabandpey, H. & Kaski, S., 18 May 2016, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, Vol. 2016-May. p. 2464-2468 5 p. 7472120

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

    • 2015

      Developing a Symbiotic System for Scientific Information Seeking: The Mindsee Project

      Gamberini, L., Spagnolli, A., Blankertz, B., Kaski, S., Freeman, J., Acqualagna, L., Barral, O., Bellio, M., Chech, L., Eugster, M., Ferrari, E., Negri, P., Orso, V., Pluchino, P., Minelle, F., Serim, B., Wenzel, M. & Jacucci, G., 2015, Symbiotic Interaction. Symbiotic 2015. Blankertz, B., Jacucci, G., Gamberini, L., Spagnolli, A. & Freeman, J. (eds.). Springer, Vol. 9359. p. 68-80 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9359).

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      5 Citations (Scopus)

    • Exploring peripheral physiology as a predictor of perceived relevance in information retrieval

      Barral, O., Eugster, M. J. A., Ruotsalo, T., Sovijärvi-Spape, M., Kosunen, I., Ravaja, N., Kaski, S. & Jacucci, G., 2015, International Conference on Intelligent User Interfaces (IUI), Atlanta, USA, March 29 - April 1, 2015. New York, NY: ACM, p. 389-399

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      28 Citations (Scopus)

    • Improving Controllability and Predictability of Interactive Recommendation Interfaces for Exploratory Search

      Kangasrääsiö, A., Glowacka, D. & Kaski, S., 2015, International Conference on Intelligent User Interfaces (IUI'15), Atlanta, GA, 29.3.2015. Atlanta, GA: ACM, p. 247-251

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      40 Citations (Scopus)

    • Majorization-Minimization for Manifold Embedding

      Yang, Z., Peltonen, J. & Kaski, S., 2015, The 18th International Conference on Artificial Intellgence and Statistics (AISTATS'15), San Diego, USA, May 9-12, 2015. Lebanon, G. & Vishwanathan, S. V. N. (eds.). USA: JMLR, p. 1088-1097

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      11 Citations (Scopus)

    • Scinet: Interactive intent modeling for information discovery

      Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Glowacka, D., Reijonen, A., Jacucci, G., Myllymäki, P. & Kaski, S., 2015, SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. Ricardo Baeza-Yates Yahoo Labs, U., Mounia Lalmas Yahoo Labs, U. A. M. U. O. M., Australia Berthier Ribeiro-Neto Google, B. & UFMG, B. (eds.). ACM, p. 1043-1044 2 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      12 Citations (Scopus)
    • 2014

      Bayesian Multi-View Tensor Factorization

      Khan, S. A. & Kaski, S., 2014, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML'14, Nancy, September 15-19, 2014. Calders, T. (ed.). Berlin: Springer, p. 656-671

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      18 Citations (Scopus)

    • Bayesian Optimization in Interactive Scientific Search

      Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Glowacka, D., Konyushkova, K., Athukorala, K., Kosunen, I., Reijonen, A., Myllymäki, P., Jacucci, G. & Kaski, S., 2014, Workshop on Bayesian Optimization in Academia and Industry, Neural Information Processing Systems, NIPS2014, 8-13 December, Montreal, Canada.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

    • Intentradar: Search User Interface That Anticipates User's Search Intents

      Ruotsalo, T., Peltonen, J., Eugster, M. J. A., Glowacka, D., Reijonen, A., Jacucci, G., Myllymäki, P. & Kaski, S., 2014, ACM CHI Conference on Human Factors in Computing Systems, CHI 2014, 26 April-1 May, Toronto, Canada. New York: ACM, p. 455-458

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

      4 Citations (Scopus)

    • Optimal neighborhood preserving visualization by maximum satisfiability

      Bunte, K., Järvisalo, M., Berg, J., Myllymäki, P., Peltonen, J. & Kaski, S., 2014, Association for the advancement of artificial intelligence conference, AAAI-14, Québec, Canada, July 2014. Brodley, C. E. & Stone, P. (eds.). AAAI Press, p. 1694-1700

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      12 Citations (Scopus)

    • Optimization equivalence of divergences improves neighbor embedding

      Yang, Z., Peltonen, J. & Kaski, S., 2014, International Conference on Machine Learning, ICML 2014, 21-26 June, Beijing, P. R. China. Xing, E. P. & Jebara, T. (eds.). JMLR, p. 460-468

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      11 Citations (Scopus)

    • Predicting term-relevance from brain signals

      Eugster, M. J. A., Ruotsalo, T., Spapé, M., Kosunen, I., Barral, O., Ravaja, N., Jacucci, N. & Kaski, S., 2014, Annual International ACM SIGIR Conference on Research & Development in Information Retrieval, (SIGIR 2014), Gold Coast, Australia, 6-11 July 2014. New York: ACM, p. 425-434

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      78 Citations (Scopus)

    • Retrieval of experiments by efficient comparison of marginal likelihoods

      Seth, S., Shawe-Taylor, J. & Kaski, S., 2014, International conference on neural information processing, Kuching, Malaysia, November 3-6, 2014. Loo, C. K., Yap, K. S., Wong, K. W., Teon, A. & Huang, K. (eds.). Switzerland: Springer, p. 135-142

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      1 Citation (Scopus)

    • Toward computational cumulative biology by combining models of biological datasets

      Peltonen, J., Faisal, A., Georgii, E., Rung, J. & Kaski, S., 2014, Workshop on Machine Learning in Computational Biology, Neural Information Processing Systems, NIPS2014, 8-13 December, Montreal, Canada.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Professional

    • 2013

      Adaptive timeline interface to personal history data

      Ajanki, A., Koskela, M., Laaksonen, J. & Kaski, S., 2013, ICMI 2013 - Proceedings of the 2013 ACM International Conference on Multimodal Interaction. ACM, p. 229-236 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      2 Citations (Scopus)

    • Directing Exploratory Search: Reinforcement Learning from User Interactions with Keywords

      Glowacka, D., Ruotsalo, T., Konyushkova, K., Athukorala, K., Kaski, S. & Jacucci, G., 2013, International Conference on Intelligent User Interfaces, Santa Monica, CA, March 19-22, 2013. New York: ACM, p. 117-128

      Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

      99 Citations (Scopus)
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