Multi-source probabilistic inference research group / Arto Klami

Publications

Research output per year 2013 2013 2014 2015 2016 2017 2019 2020 2021 2022 2022

• 26 Conference contribution
• 10 Article
• 2 Conference article

Research output per year

Research output per year

Search results

• 2022

  Optimizing singular value based similarity measures for document similarity comparisons

  Lagus, J. & Klami, A., Dec 2022, Proceedings of the 5th International Conference on Natural Language and Speech Processing. Abbas, M. & Freihat, A. A. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 113-118 6 p.

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

  Open Access

  File

• Second-order Document Similarity Metrics for Transformers

  Lagus, J., Loppi, N. & Klami, A., Dec 2022, Proceedings of the 5th International Conference on Natural Language and Speech Processing. Abbas, M. & Freihat, A. A. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 128-133 6 p.

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

  Open Access

  File

• Traversing Time with Multi-Resolution Gaussian Process State-Space Models

  Longi, K. E., Lindinger, J., Duennbier, O., Kandemir, M., Klami, A. & Rakitsch, B., 2022, Proceedings of The 4th Annual Learning for Dynamics and Control Conference, PMLR. Firoozi, R., Mehr, N., Yel, E., Antonova, R., Bohg, J., Schwager, M. & Kochenderfer, M. (eds.). Journal of Machine Learning Research, p. 366-377 (Proceedings of Machine Learning Research (PMLR); vol. 168).

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

  Open Access

  File
• 2021

  A COVID-19 news coverage mood map of Europe

  Robertson, F., Lagus, J. & Kajava, K., 2021, EACL Hackashop on News Media Content Analysis and Automated Report Generation: Proceedings. Toivonen, H. & Boggia, M. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 110-115 6 p.

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

• Learning to lemmatize in the word representation space

  Lagus, J. & Klami, A., May 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Linköpings University Electronic Press, p. 249-258 (Linköping Electronic Conference Proceedings; vol. 178)( NEALT Proceedings Series; no. 45).

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

  Open Access

  File

• Localizing a target inside an enclosed cylinder with a single chaotic cavity transducer augmented with supervised machine learning

  Sillanpää, T. O. N., Longi, K. E., Mäkinen, J. M. K., Rauhala, T., Klami, A., Salmi, A. & Haeggström, E., 2021, In: AIP Advances. 11, 11, 11 p., 115104.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Uplift Modeling with High Class Imbalance

  Nyberg, O. E., Kusmierczyk, T. & Klami, A., 19 Nov 2021, Proceedings of The 13th Asian Conference on Machine Learning. Journal of Machine Learning Research, p. 315-330 16 p. (Proceedings of Machine Learning Research PMLR; vol. 157).

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

  Open Access

  File

• Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum

  Toivonen, M. E., Talvitie, T., Rajani, C. & Klami, A., Sept 2021, In: Journal of Imaging. 7, 9, 25 p., 166.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File
• 2020

  Correcting Predictions for Approximate Bayesian Inference

  Kusmierczyk, T., Sakaya, J. & Klami, A., Feb 2020, The thirty-fourth AAAI conference on artificial intelligence. Association for the Advancement of Artificial Intelligence (AAAI), p. 4511-4518 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34).

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

  Open Access

  File

• Non-linearities in Gaussian processes with integral observations

  Tanskanen, V. E., Longi, K. E. & Klami, A., 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE Computer Society, 6 p.

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

  Open Access

  File

• Sensor Placement for Spatial Gaussian Processes with Integral Observations

  Longi, K. E., Rajani, C., Sillanpää, T. O. N., Mäkinen, J. M. K., Rauhala, T., Salmi, A., Haeggström, E. & Klami, A., Aug 2020, Proceedings of 36th Conference on Uncertainty in Artificial Intelligence. AUAI Press / Association for Uncertainty in Artificial Intelligence, 10 p. (Conference on Uncertainty in Artificial Intelligence; vol. 124).

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

  Open Access

  File
• 2019

  Lambert matrix factorization

  Klami, A., Lagus, J. & Sakaya, J., 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham: Springer Nature Switzerland, p. 311-326 17 p. (Lecture Notes in Artificial Intelligence; vol. 11052).

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

• Ultrasonic Fouling Detector Powered by Machine Learning

  Sillanpää, T. O. N., Rauhala, T., Mäkinen, J. M. K., Rajani, C., Longi, K. E., Klami, A., Salmi, A. & Haeggström, E., 2019, 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, p. 1639-1642 4 p. (IEEE International Ultrasonics Symposium).

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

  Open Access

  File

• Variational Bayesian Decision-making for Continuous Utilities

  Kusmierczyk, T., Sakaya, J. & Klami, A., Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E. & Garnett, R. (eds.). Maryland Heights, MO: Morgan Kaufmann Publishers, 11 p. (Advances in Neural Information Processing Systems; vol. 32).

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

  Open Access

  File
• 2018

  On Controlling the Size of Clusters in Probabilistic Clustering

  Jitta, A. & Klami, A., 2018, Thirty-Second AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, p. 3350-3357 8 p.

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

  Open Access

  File

• 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 journal › Article › Scientific › peer-review

  Open Access

  File
• 2017

  Few-to-few Cross-domain Object Matching

  Jitta, A. & Klami, A., 2017, In: JMLR workshop and conference proceedings. 73, p. 176-187

  Research output: Contribution to journal › Conference article › Scientific › peer-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: The Association for Computational Linguistics, p. 842-846 5 p.

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

  File

• 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 proceeding › Conference contribution › Scientific › peer-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 journal › Article › Scientific › peer-review

  Open Access

  File

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

  Longi, K., Pulkkinen, T. & Klami, A., Nov 2017, In: JMLR workshop and conference proceedings. 77, p. 391-406 16 p.

  Research output: Contribution to journal › Conference article › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• 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 proceeding › Conference contribution › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Using regression makes extraction of shared variation in multiple datasets easy

  Korpela, J., Henelius, A., Ahonen, L., Klami, A. & Puolamäki, K., 1 Sept 2016, In: Data Mining and Knowledge Discovery. 30, 5, p. 1112-1133 22 p.

  Research output: Contribution to journal › Article › Scientific › peer-review
• 2015

  Group Factor Analysis

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

  Research output: Contribution to journal › Article › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• 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 proceeding › Conference contribution › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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 journal › Article › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Multi-task and multi-view learning of user state

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

  Research output: Contribution to journal › Article › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File
• 2013

  Bayesian object matching

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

  Research output: Contribution to journal › Article › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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 proceeding › Conference contribution › Scientific › peer-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 journal › Article › Scientific › peer-review