Tomi Peltola - RankMe

23 papers A* 2A 4B 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	A decision-theoretic approach for model interpretability in Bayesian framework. Mach. Learn. Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
2019	A*	`conf`	Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. IJCAI Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2019	J	`jnl`	Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. CoRR Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2019	J	`jnl`	Interactive AI with a Theory of Mind. CoRR Mustafa Mert Çelikok, Tomi Peltola, Pedram Daee, Samuel Kaski
2019	A*	`conf`	Machine Teaching of Active Sequential Learners. NeurIPS Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski
2019	J	`jnl`	Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. CoRR Homayun Afrabandpey, Tomi Peltola, Juho Piironen, Aki Vehtari, Samuel Kaski
2019	J	`jnl`	Probabilistic Formulation of the Take The Best Heuristic. CoRR Tomi Peltola, Jussi Jokinen, Samuel Kaski
2018	J	`jnl`	Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinform. Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki S. Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, Samuel Kaski
2018	J	`jnl`	Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections. CoRR Tomi Peltola
2018	J	`jnl`	Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. CoRR Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee, Samuel Kaski
2018	B	`conf`	Probabilistic Formulation of the Take The Best Heuristic. CogSci Tomi Peltola, Jussi Jokinen, Samuel Kaski
2018	A	`conf`	User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. IUI Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski
2017	J	`jnl`	Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. CoRR Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder, Pedram Daee, Marta Soare, Homayun Afrabandpey, Caroline Heckman, Samuel Kaski, Pekka Marttinen
2017	A	`conf`	Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. IUI Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2017	A	`conf`	Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. UMAP Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2017	J	`jnl`	Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Mach. Learn. Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2017	—	`conf`	Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. IAL@PKDD/ECML Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2017	J	`jnl`	User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. CoRR Pedram Daee, Tomi Peltola, Aki Vehtari, Samuel Kaski
2016	J	`jnl`	Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. CoRR Luana Micallef, Iiris Sundin, Pekka Marttinen, Muhammad Ammad-ud-din, Tomi Peltola, Marta Soare, Giulio Jacucci, Samuel Kaski
2016	J	`jnl`	Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction. CoRR Homayun Afrabandpey, Tomi Peltola, Samuel Kaski
2016	J	`jnl`	Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction. CoRR Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski
2014	A	`conf`	Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables. AISTATS Tomi Peltola, Pasi Jylänki, Aki Vehtari
2014	—	`conf`	Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction. BMA@UAI Tomi Peltola, Aki S. Havulinna, Veikko Salomaa, Aki Vehtari