| Learning Global Pairwise Interactions with Bayesian Neural Networks T Cui, P Marttinen, S Kaski European Conference on Artificial Intelligence (Oral at ECAI 2020), 2020 | 40* | 2020 |
| Using Images Rendered by PBRT to Train Faster R-CNN for UAV Detection J Peng, C Zheng, P Lv, T Cui, Y Cheng, S Lingyu International Conference on Computer Graphics, Visualization and Computer …, 2018 | 37 | 2018 |
| Informative Bayesian Neural Network Priors for Weak Signals T Cui, A Havulinna, P Marttinen, S Kaski Bayesian Analysis (Oral at JSM 2022), 2021 | 19* | 2021 |
| Deconfounded Representation Similarity for Comparison of Neural Networks T Cui, Y Kumar, P Marttinen, S Kaski Neural Information Processing Systems (Oral at NeurIPS 2022), 2022 | 15 | 2022 |
| Gene-gene Interaction Detection with Deep Learning T Cui, K El Mekkaoui, J Reinvall, AS Havulinna, P Marttinen, S Kaski Communications Biology, 2022 | 14 | 2022 |
| Correlations and Clustering in Wholesale Electricity Markets T Cui, F Caravelli, C Ududec Physica A: Statistical Mechanics and its Applications, 2018 | 14 | 2018 |
| Improving neural networks for genotype-phenotype prediction using published summary statistics T Cui, KE Mekkaoui, A Havulinna, P Marttinen, S Kaski bioRxiv, 2021.11. 09.467937, 2021 | 2 | 2021 |
| Digital remote monitoring for screening and early detection of urinary tract infections A Capstick, F Palermo, K Zakka, N Fletcher-Lloyd, C Walsh, T Cui, ... NPJ Digital Medicine 7 (1), 11, 2024 | 1 | 2024 |
| Interaction Detection with Probabilistic Deep Learning for Genetics T Cui Aalto University, 2023 | 1 | 2023 |
| The Simulation of Open One-side Uncertain Probability for Fusion Model of Data Uncertainty and Data Relation Uncertainty R Ye, M Liao, T Cui, P Lv International Conference on Big Data Analysis (ICBDA 2018), 2018 | 1 | 2018 |
| Representation Learning of Daily Movement Data Using Text Encoders A Capstick, T Cui, Y Chen, P Barnaghi ICLR 2024 Workshop on Learning from Time Series for Health, 2024 | | 2024 |
| Incorporating Functional Summary Information in Bayesian Neural Networks Using a Dirichlet Process Likelihood Approach V Raj, T Cui, M Heinonen, P Marttinen Artificial Intelligence and Statistics Conference (AISTATS 2023), 2023 | | 2023 |
| Supplementary material of “Informative Bayesian Neural Network Priors for Weak Signals” T Cui, A Havulinna, P Marttinen, S Kaski https://doi.org/10.1214/21-BA1291SUPP, 2021 | | 2021 |
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
