| Elfi: Engine for likelihood-free inference J Lintusaari, H Vuollekoski, A Kangasrääsiö, K Skytén, M Järvenpää, ... Journal of Machine Learning Research 19 (16), 1-7, 2018 | 86 | 2018 |
| Inferring Cognitive Models from Data using Approximate Bayesian Computation A Kangasrääsiö, K Athukorala, A Howes, J Corander, S Kaski, ... arXiv preprint arXiv:1612.00653, 2016 | 67 | 2016 |
| Parameter inference for computational cognitive models with approximate Bayesian computation A Kangasrääsiö, JPP Jokinen, A Oulasvirta, A Howes, S Kaski Cognitive science 43 (6), e12738, 2019 | 66 | 2019 |
| Improving controllability and predictability of interactive recommendation interfaces for exploratory search A Kangasrääsiö, D Glowacka, S Kaski Proceedings of the 20th international conference on intelligent user …, 2015 | 59 | 2015 |
| Agent-based modeling and simulation of a smart grid: A case study of communication effects on frequency control O Kilkki, A Kangasrääsiö, R Nikkilä, A Alahäivälä, I Seilonen Engineering Applications of Artificial Intelligence 33, 91-98, 2014 | 35 | 2014 |
| Inverse reinforcement learning from summary data A Kangasrääsiö, S Kaski Machine Learning 107 (8), 1517-1535, 2018 | 19 | 2018 |
| Interactive modeling of concept drift and errors in relevance feedback A Kangasrääsiö, Y Chen, D Głowacka, S Kaski Proceedings of the 2016 conference on user modeling adaptation and …, 2016 | 16 | 2016 |
| ELFI: Engine for likelihood-free inference A Kangasrääsiö, J Lintusaari, K Skytén, M Järvenpää, H Vuollekoski, ... NIPS 2016 Workshop on Advances in Approximate Bayesian Inference, 2016 | 9 | 2016 |
| Dealing with concept drift in exploratory search: An interactive bayesian approach A Kangasrääsiö, Y Chen, D Glowacka, S Kaski Companion Publication of the 21st International Conference on Intelligent …, 2016 | 4 | 2016 |
| Interactive Visualization of Search Intent for Exploratory Information Retrieval A Kangasrääsiö, D Głowacka, T Ruotsalo, J Peltonen, MJA Eugster, ... ICML 2014 workshop ``Crowdsourcing and Human Computing'', 2014 | 3 | 2014 |
| Forecasting Material Flows by Using Agent Based Modeling and Simulation. Case Study: Biowaste from Finnish Retail Stores. J Laaksonen, A Kangasrääsiö, J Kaila ISWA BEACON 2nd International Conference on Final Sinks, 2013 | 3 | 2013 |
| Feasibility of Agent-Based Modeling and Simulation in Modeling Waste Value Chains A Kangasrääsiö Aalto University, 2012 | 2 | 2012 |
| Feasibility of Agent Based Simulation for Modeling the Decision Making Processes in Recycling and its Effects on Material Flows and Environmental Impacts. J Laaksonen, A Kangasrääsiö, J Kaila EcoBalance, 2012 | 2 | 2012 |
| Adaptiivisen säädön menetelmät A Kangasrääsiö | 1 | 2010 |
| Machine Learning Methods for Interactive Search Interfaces and Cognitive Models A Kangasrääsiö Aalto University, 2018 | | 2018 |
| Inference of Strategic Behavior based on Incomplete Observation Data A Kangasrääsiö, S Kaski IEEE Conference on Neural Information Processing Systems, 2017 | | 2017 |
| ELFI, a software package for likelihood-free inference J Lintusaari, H Vuollekoski, A Kangasrääsiö, K Skyten, M Järvenpää, ... International Conference on Machine Learning, 2017 | | 2017 |
| Modelling Human Decision-making based on Aggregate Observation Data A Kangasrääsiö, S Kaski Human in the Loop Machine Learning; ICML Workshop, 2017 | | 2017 |
| Personalization of Search Results using Interactive Intent Modeling A Kangasrääsiö, D Głowacka, S Kaski ICML 2016 Workshop on Computational Frameworks for Personalization, 2016 | | 2016 |
| Improving controllability and predictability of an interactive user model driven search interface A Kangasrääsiö, D Głowacka, S Kaski | | 2014 |
Dorota GlowackaUniversity of HelsinkiVerified email at cs.helsinki.fi
