Tomi Peltola
According to our database1,
Tomi Peltola
authored at least 18 papers
between 2014 and 2020.
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Bibliography
2020
Mach. Learn., 2020
2019
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections.
CoRR, 2018
Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge.
Bioinform., 2018
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction.
Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2017
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction.
Mach. Learn., 2017
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation.
CoRR, 2017
Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017
Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
2016
Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction.
CoRR, 2016
2014
Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction.
Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014