Interactive machine learning from multiple biodata sources

Research output

Research output per year 2016 2017 2018 2019 2024

• 25 Conference article in proceedings
• 18 Article
• 1 Other contribution

Research output per year

Research output per year

Search results

• 2024

  Targeted Active Learning for Bayesian Decision-Making

  Filstroff, L., Sundin, I., Mikkola, P., Tiulpin, A., Kylmäoja, J. & Kaski, S., 12 Jun 2024, In: Transactions on Machine Learning Research. 20 p.

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

  Open Access

  File

  • Decision-Making 100%
  • Bayesian Decision 100%
  • Active Learning 100%
  • Learning 100%
  • Bayesian Decision Making 100%
  13 Downloads (Pure)
• 2022

  Tackling covariate shift with node-based Bayesian neural networks

  Trinh, T. Q., Heinonen, M., Acerbi, L. & Kaski, S., 17 Jul 2022, Proceedings of the 39th International Conference on Machine Learning. Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G. & Sabato, S. (eds.). JMLR, p. 21751-21775 25 p. (Proceedings of Machine Learning Research; vol. 162).

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

  Open Access

  File

  • Covariate 100%
  • Bayesian 100%
  • Variables 25%
  • Weights 16%
  • Epistemic Uncertainty 16%
  37 Downloads (Pure)

• The relationship between electrophysiological and hemodynamic measures of neural activity varies across picture naming tasks: A multimodal magnetoencephalography-functional magnetic resonance imaging study

  Mononen, T., Kujala, J., Liljeström, M., Leppäaho, E., Kaski, S. & Salmelin, R., 3 Nov 2022, In: Frontiers in Neuroscience. 16, p. 1-16 16 p., 1019572.

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

  Open Access

  File

  • Magnetoencephalography 100%
  • Functional Magnetic Resonance Imaging 100%
  • Neural Activity 100%
  • Correlation 33%
  • Brain 22%
  100 Downloads (Pure)
• 2021

  Bayesian Inference for Optimal Transport with Stochastic Cost

  Mallasto, A., Heinonen, M. & Kaski, S., 2021, Proceedings of Asian Conference on Machine Learning. JMLR, p. 1601-1616 16 p. (Proceedings of Machine Learning Research; vol. 157).

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

  Open Access

  File

  • Costs 100%
  • Transport 100%
  • Stochastics 100%
  • Bayesian Inference 100%
  • Optimal Transport 100%
  43 Downloads (Pure)

• De-randomizing MCMC dynamics with the diffusion Stein operator

  Shen, Z., Heinonen, M. & Kaski, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Neural Information Processing Systems Foundation, p. 17507-17517 11 p. (Advances in Neural Information Processing Systems; vol. 21).

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

  Open Access

  File

  • Operators 100%
  • Diffusion 100%
  • Facilitated Diffusion 100%
  • Samples 37%
  • Sample 37%
  4 Citations (Scopus)

  60 Downloads (Pure)

• Federated Stochastic Gradient Langevin Dynamics

  El Mekkaoui, K., Parente Paiva Mesquita, D., Blomstedt, P. & Kaski, S., Dec 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence. JMLR, p. 1703-1712 10 p. (Proceedings of Machine Learning Research ; no. 161).

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

  Open Access

  File

  • Gradient 100%
  • Stochastics 100%
  • Communication 14%
  • Datum 14%
  • Estimate 14%
  26 Downloads (Pure)
• 2020

  Learning spectrograms with convolutional spectral kernels

  Shen, Z., Heinonen, M. & Kaski, S., 2020, The 23rd International Conference on Artificial Intelligence and Statistics. Chiappa, S. & Calandra, R. (eds.). JMLR, p. 3826-3836 10 p. (Proceedings of Machine Learning Research; vol. 108).

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

  Open Access

  File

  • Learning 100%
  • Kernel 100%
  • Model 80%
  • Gaussian Process 80%
  • Models 40%
  47 Downloads (Pure)
• 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

  File

  • Decision-Making 100%
  • Observational Data 100%
  • Active Learning 100%
  • Decision Making 100%
  • Treatment 100%
  85 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

  File

  • Gaussian Process 100%
  • Deep Learning 100%
  • Standards 33%
  • Classification 33%
  • Transformations 33%
  15 Citations (Scopus)

  114 Downloads (Pure)

• Discovering heritable modes of MEG spectral power

  Leppäaho, E., Renvall, H., Salmela, E., Kere, J., Salmelin, R. & Kaski, S., 1 Apr 2019, In: Human Brain Mapping . 40, 5, p. 1391-1402 12 p.

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

  Open Access

  File

  • Magnetoencephalography 100%
  • Brain 100%
  • Computational Method 100%
  • Sibling 75%
  • Functions 75%
  12 Citations (Scopus)

  205 Downloads (Pure)

• Distributed Bayesian matrix factorization with limited communication

  Qin, X., Blomstedt, P., Leppäaho, E., Parviainen, P. & Kaski, S., 1 Oct 2019, In: Machine Learning. 108, 10, p. 1805–1830

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

  Open Access

  File

  • Communication 100%
  • Matrix Factorization 100%
  • Computation 50%
  • Accuracy 25%
  • Posterior Distribution 25%
  5 Citations (Scopus)

  182 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

  File

  • Approximation (Algorithm) 100%
  • Communication 50%
  • Computation 50%
  • Importance Sampling 50%
  • Sampling Scheme 50%
  5 Citations (Scopus)

  64 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

  File

  • Models 100%
  • Domains 100%
  • Gaussian Process 100%
  • Learning Framework 100%
  • Spectral Representation 100%
  9 Citations (Scopus)

  99 Downloads (Pure)

• Local dimension reduction of summary statistics for likelihood-free inference

  Siren, J. & Kaski, S., 4 Oct 2019, In: STATISTICS AND COMPUTING. 12 p.

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

  Open Access

  File

  • Transformations 100%
  • Dimension Reduction 100%
  • Localization 100%
  • Summary Statistic 100%
  • Models 66%
  91 Downloads (Pure)

• Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation

  Kangasrääsiö, A., Jokinen, J. P. P., Oulasvirta, A., Howes, A. & Kaski, S., 1 Jun 2019, In: Cognitive Science. 43, 6, 40 p., 12738.

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

  Open Access

  File

  • Models 100%
  • Computation 100%
  • Computational 100%
  • Approximate Bayesian Computation 100%
  • Parameter 100%
  40 Citations (Scopus)

  317 Downloads (Pure)

• Representation transfer for differentially private drug sensitivity prediction

  Niinimäki, T., Heikkilä, M. A., Honkela, A. & Kaski, S., 15 Jul 2019, In: Bioinformatics. 35, 14, p. i218-i224 btz373.

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

  Open Access

  File

  • Machine Learning 100%
  • Representation 100%
  • Representation Learning 100%
  • Autoencoder 100%
  • Accuracy 50%
  6 Citations (Scopus)

  114 Downloads (Pure)

• Resolving outbreak dynamics using approximate bayesian computation for stochastic birth–death models

  Lintusaari, J., Blomstedt, P., Rose, B., Sivula, T., Gutmann, M. U., Kaski, S. & Corander, J., 2019, In: Wellcome Open Research . 4, 26 p., 14.

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

  Open Access

  File

  • Approximate Bayesian Computation 100%
  • Number 33%
  • Inference 33%
  • Time 33%
  • Genotyping 33%
  5 Citations (Scopus)

  59 Downloads (Pure)
• 2018

  Efficient differentially private learning improves drug sensitivity prediction

  Honkela, A., Das, M., Nieminen, A., Dikmen, O. & Kaski, S., 6 Feb 2018, In: Biology Direct. 13, 1, p. 1-12

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

  Open Access

  File

  • Learning 100%
  • Forecasting 100%
  • Right to Privacy 83%
  • Private Information 66%
  • Regression 50%
  20 Citations (Scopus)

  188 Downloads (Pure)

• ELFI: Engine for likelihood-free inference

  Lintusaari, J., Vuollekoski, H., Kangasrääsiö, A., Skytén, K., Järvenpää, M., Marttinen, P., Gutmann, M. U., Vehtari, A., Corander, J. & Kaski, S., 1 Aug 2018, In: Journal of Machine Learning Research. 19, p. 1-7 7 p.

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

  Open Access

  File

  • Inference Engines 100%
  • Inference Method 100%
  • Networks 50%
  • Optimization 50%
  • Parallelization 50%
  42 Citations (Scopus)

  271 Downloads (Pure)

• Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge

  Sundin, I., Peltola, T., Micallef, L., Afrabandpey, H., Soare, M., Majumder, M. M., Daee, P., He, C., Serim, B., Havulinna, A., Heckman, C., Jacucci, G., Marttinen, P. & Kaski, S., 27 Jun 2018, In: Bioinformatics. 34, 13, p. i395-i403

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

  Open Access

  File

  • Expert Knowledge 100%
  • Elicitation 100%
  • Precision Medicine 100%
  • Design 50%
  • Computational Method 50%
  14 Citations (Scopus)

  143 Downloads (Pure)

• Interactive Intent Modeling for Exploratory Search

  Ruotsalo, T., Peltonen, J., Eugster, M. J., Glowacka, D., Floréen, P., Myllymäki, P., Jacucci, G. & Kaski, S., 2018, In: ACM Transactions on Information Systems. 36, 4, p. 1-46 44.

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

  Open Access

  File

  • Modeling 100%
  • Intents 100%
  • User 57%
  • Models 28%
  • User Experience 28%
  53 Citations (Scopus)

  135 Downloads (Pure)

• Inverse reinforcement learning from summary data

  Kangasrääsiö, A. & Kaski, S., Sept 2018, In: Machine Learning. 107, 8-10, p. 1517–1535

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

  Open Access

  • Reinforcement Learning 100%
  • Models 40%
  • Functions 40%
  • User 20%
  • Modeling 20%
  11 Citations (Scopus)

• 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

  • Models 100%
  • Heuristics 100%
  • Decision-Making 20%
  • Machine Learning 20%
  • Training Data 20%

• 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

  File

  • User 100%
  • Knowledge Acquisition 100%
  • User Modeling 100%
  • Design 28%
  • Machine Learning 28%
  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

  • Gaussian Process 100%
  • Models 75%
  • Learning 50%
  • Networks 25%
  • Events 25%
  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

  File

  • Model 100%
  • Coupling 100%
  • Modeling 100%
  • Variables 100%
  • Kernel 100%
  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

  • Text Annotation 100%
  • Program Content 66%
  • Case Study 33%
  • Automatic Annotation 33%
  • Real World 33%
  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

  • Prediction 100%
  • Factorization 100%
  • Algorithm 13%
  • Optimization 13%
  • Tensor 13%
  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

  • Differential Privacy 100%
  • Bayesian Learning 100%
  • Standards 50%
  • Application 25%
  • Machine Learning 25%
  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

  File

  • Models 100%
  • Reinforcement Learning 100%
  • Strategic Behavior 100%
  • User 50%
  • Real World 50%
  118 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

  File

  • Models 100%
  • Computation 100%
  • Parameter Value 42%
  • Human-Computer Interaction 28%
  • Case Study 14%
  46 Citations (Scopus)

  221 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

  • Models 100%
  • User 100%
  • Elicitation 100%
  • Domains 60%
  • Machine Learning 20%
  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

  • Elicitation 100%
  • Small Sample Size 100%
  • User 50%
  • Regression 50%
  • Roles 25%
  6 Citations (Scopus)

• Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction

  Daee, P., Peltola, T., Soare, M. & Kaski, S., 12 Jul 2017, In: Machine Learning. 106, 9, p. 1599-1620 22 p.

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

  Open Access

  File

  • Expert Knowledge 100%
  • Probabilistic Inference 100%
  • Knowledge Acquisition 100%
  • User 50%
  • Evaluation 50%
  26 Citations (Scopus)

  187 Downloads (Pure)

• 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

  File

  • Models 100%
  • Regression 100%
  • Solution and Solubility 60%
  • Functions 40%
  • Globally Optimal Solution 40%
  45 Downloads (Pure)

• MediSyn: Uncertainty-aware Visualization of Multiple Biomedical Datasets to Support Drug Treatment Selection

  He, C., Micallef, L., Tanoli, Z.-U.-R., Kaski, S., Aittokallio, T. & Jacucci, G., 13 Sept 2017, In: BMC Bioinformatics. 18, p. 1-12 393.

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

  Open Access

  File

  • Links 100%
  • Visualization 100%
  • User 66%
  • Linked Data 66%
  • Design 33%
  6 Citations (Scopus)

  160 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

  File

  • Models 100%
  • Human Decision Making 100%
  • Reinforcement Learning 100%
  • User 20%
  • Optimization 20%
  106 Downloads (Pure)

• Multi-view kernel completion

  Bhadra, S., Kaski, S. & Rousu, J., May 2017, In: Machine Learning. 106, 5, p. 713–739

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

  Open Access

  File

  • Learning 100%
  • Approximation (Algorithm) 66%
  • Case Study 33%
  • Practical Application 33%
  • Sensor Failure 33%
  43 Citations (Scopus)

  268 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

  • Model 100%
  • Input 100%
  • Models 100%
  • Gaussian Process 66%
  • Show 33%
  65 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

  • Regression 100%
  • Expert Knowledge 100%
  • Elicitation 100%
  • Knowledge Acquisition 100%
  • Individual Patient 50%
  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

  File

  • Clustering Method 100%
  • Regularization 100%
  • Real World 50%
  • Synthetic Data 50%
  • Globally Optimal Solution 50%
  4 Citations (Scopus)

  137 Downloads (Pure)

• Multiple output regression with latent noise

  Gillberg, L., Marttinen, P., Pirinen, M., Kangas, A. J., Soininen, P., Ali, M., Havulinna, A. S., Järvelin, M. R., Ala-Korpela, M. & Kaski, S., 1 Jun 2016, In: Journal of Machine Learning Research. 17, p. 1-35 35 p.

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

  Open Access

  File

  • Regression Output 100%
  • Models 100%
  • Regression 100%
  • Reduced-Rank Regression Model 80%
  • Modeling 40%
  11 Citations (Scopus)

  106 Downloads (Pure)

• Natural brain-information interfaces: Recommending information by relevance inferred from human brain signals

  Eugster, M., Ruotsalo, T., Spape, M., Barral, O., Ravaja, N., Jacucci, G. & Kaski, S., 9 Nov 2016, In: Scientific Reports. 6, p. 1-10 38580 .

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

  Open Access

  File

  • User 100%
  • Relevant Information 100%
  • Wikipedia 100%
  • Information Interface 100%
  • Internet 50%
  45 Citations (Scopus)

  225 Downloads (Pure)

• Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression

  Daee, P., Peltola, T., Soare, M. & Kaski, S., 2016, 4 p. CEUR.

  Research output: Other contribution › Scientific › peer-review

  Open Access

  File
  49 Downloads (Pure)