Multi-source probabilistic inference research group / Arto Klami

Publications 2013 2018

  • 13 Conference contribution
  • 8 Article
  • 2 Conference article
2018

Transfer-Learning Methods in Programming Course Outcome Prediction

Lagus, J., Longi, K., Klami, A. & Hellas, A., Nov 2018, In : ACM Transactions on Computing Education. 18, 4, p. 19:1-19:18 18 p.

Research output: Contribution to journalArticleScientificpeer-review

2017

Few-to-few Cross-domain Object Matching

Jitta, A. & Klami, A., 2017, In : Proceedings of Machine Learning Research. 73, p. 176-187

Research output: Contribution to journalConference articleScientificpeer-review

Open Access
File

HCS at SemEval-2017 Task 5: Sentiment Detection in Business News Using Convolutional Neural Networks

Pivovarova, L., Escoter, L., Klami, A. & Yangarber, R., Aug 2017, 11th International Workshop on Semantic Evaluations (SemEval-2017): Proceedings of the Workshop. Stroudsburg, PA: Association for Computational Linguistics, p. 842-846 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Importance Sampled Stochastic Optimization for Variational Inference

Sakaya, J. & Klami, A., Aug 2017, 33rd Conference on Uncertainty in Artificial Intelligence 2017: Sydney, Australia, 11-15 August 2017. Elidan, G. & Kersting, K. (eds.). AUAI Press, 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

Partially hidden Markov models for privacy-preserving modeling of indoor trajectories

Jitta, A. & Klami, A., 29 Nov 2017, In : Neurocomputing. 266, p. 196-205 10 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources

Longi, K., Pulkkinen, T. & Klami, A., Nov 2017, In : Proceedings of Machine Learning Research. 77, p. 391-406 16 p.

Research output: Contribution to journalConference articleScientificpeer-review

Open Access
File
2016

Automatic Inference of Programming Performance and Experience from Typing Patterns

Leinonen, J., Longi, K., Klami, A. & Vihavainen, A., 17 Feb 2016, SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education . New York, NY: ACM New York, p. 123-137 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Probabilistic Size-constrained Microclustering

Klami, A. O. & Jitta, A., 2016, Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Second Conference (2016) June 25-29, 2016, Jersey City, New Jersey, USA. Ihler, A. & Janzing, D. (eds.). Corvallis, Oregon: AUAI Press, p. 329-338 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access

Re-using gradient computation in automatic variational inference

Sakaya, J. H. & Klami, A. O., 9 Dec 2016, Advances in Approximate Bayesian Inference; NIPS 2016 Workshop; December 9, 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

Typing Patterns and Authentication in Practical Programming Exams

Leinonen, J., Longi, K., Klami, A., Ahadi, A. & Vihavainen, A., 11 Jul 2016, Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '16). New York, NY: ACM New York, p. 160-165 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Using regression makes extraction of shared variation in multiple datasets easy

Korpela, J., Henelius, A., Ahonen, L., Klami, A. & Puolamäki, K., Sep 2016, In : Data Mining and Knowledge Discovery. 30, 5, p. 1112-1133 22 p.

Research output: Contribution to journalArticleScientificpeer-review

2015

Group Factor Analysis

Klami, A., Virtanen, S., Leppäaho, E. & Kaski, S., Sep 2015, In : IEEE Transactions on Neural Networks and Learning Systems. 26, 9, p. 2136-2147 12 p.

Research output: Contribution to journalArticleScientificpeer-review

Identification of Programmers from Typing Patterns

Longi, K., Leinonen, J., Nygren, H., Salmi, J., Klami, A. & Vihavainen, A., 19 Nov 2015, Proceedings of the 15th Koli Calling Conference on Computing Education Research. New York: ACM, p. 60-67 8 p. (Koli Calling '15).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search

Andolina, S., Klouche, K., Peltonen, J., Hoque, M., Ruotsalo, T., Cabral, D., Klami, A., Glowacka, D., Floréen, P. & Jacucci, G., 2015, IUI '15: Proceedings of the 20th International Conference on Intelligent User Interfaces. New York: ACM New York, p. 300-305 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Latent feature regression for multivariate count data

Klami, A. O., Tripathi, A., Sirola, J. J., Väre, L. O. & Roulland, F., 2015, Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics . Lebanon, G. & Vishwanathan, S. V. N. (eds.). Cambridge, MA: Journal of Machine Learning Research, Vol. 38. p. 462-470 9 p. (JMLR: Workshop and Conference Proceedings; vol. 38).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals

Kauppi, J-P., Kandemir, M., Saarinen, V-M., Hirvenkari, L., Parkkonen, L., Klami, A., Hari, R. & Kaski, S., 15 May 2015, In : NeuroImage. 112, p. 288-298 11 p.

Research output: Contribution to journalArticleScientificpeer-review

2014

Group-sparse Embeddings in Collective Matrix Factorization

Klami, A., Bouchard, G. & Tripathi, A., Apr 2014, Proceedings of International Conference on Learning Representations (ICLR) 2014. 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

Multi-task and multi-view learning of user state

Kandemir, M., Vetek, A., Gönen, M., Klami, A. & Kaski, S., 2 Sep 2014, In : Neurocomputing. 139, p. 97-106

Research output: Contribution to journalArticleScientificpeer-review

Polya-gamma augmentations for factor models

Klami, A., 26 Nov 2014, Proceedings of the 6th Asian Conference on Machine Learning. p. 112-128 16 p. (JMLR: Workshop and Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
2013

Bayesian object matching

Klami, A., Sep 2013, In : Machine Learning. 92, 2-3, p. 225-250 26 p.

Research output: Contribution to journalArticleScientificpeer-review

Characterizing unknown events in MEG data with group factor analysis

Remes, S., Klami, A. & Kaski, S., Dec 2013, MLINI'13 machine learning and interpretation in neuroimaging. 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

Gaussian Process-based Predictive Modeling for Bus Ridership

Bhattacharya, S., Phithakkitnukoon, S., Nurmi, P. T., Klami, A., Veloso, M. & Bento, C., 2013, UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. New York: ACM, p. 1189-1198

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Identifying fragments of natural speech from the listener's MEG signals

Koskinen, M., Viinikanoja, J., Kurimo, M., Klami, A., Kaski, S. & Hari, R., Jun 2013, In : Human Brain Mapping. 34, 6, p. 1477-1489 13 p.

Research output: Contribution to journalArticleScientificpeer-review