| Drug-target interaction prediction: a Bayesian ranking approach L Peska, K Buza, J Koller Computer methods and programs in biomedicine 152, 15-21, 2017 | 94 | 2017 |
| Drug–target interaction prediction with Bipartite Local Models and hubness-aware regression K Buza, L Peška Neurocomputing 260, 284-293, 2017 | 56 | 2017 |
| Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th video browser showdown S Heller, V Gsteiger, W Bailer, C Gurrin, BÞ Jónsson, J Lokoč, ... International Journal of Multimedia Information Retrieval 11 (1), 1-18, 2022 | 55 | 2022 |
| Swarm intelligence techniques in recommender systems-A review of recent research L Peška, TM Tashu, T Horváth Swarm and Evolutionary Computation 48, 201-219, 2019 | 55 | 2019 |
| Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS J Lokoč, S Andreadis, W Bailer, A Duane, C Gurrin, Z Ma, N Messina, ... Multimedia Systems 29 (6), 3481-3504, 2023 | 44 | 2023 |
| Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce L Peska, P Vojtas Proceedings of the 31st ACM Conference on Hypertext and Social Media, 291-300, 2020 | 36 | 2020 |
| Using implicit preference relations to improve recommender systems L Peska, P Vojtas Journal on Data Semantics 6, 15-30, 2017 | 35 | 2017 |
| Enhancing recommender system with linked open data L Peska, P Vojtas International Conference on Flexible Query Answering Systems, 483-494, 2013 | 30 | 2013 |
| A task category space for user-centric comparative multimedia search evaluations J Lokoč, W Bailer, KU Barthel, C Gurrin, S Heller, BÞ Jónsson, L Peška, ... International conference on multimedia modeling, 193-204, 2022 | 26 | 2022 |
| Comparing interactive retrieval approaches at the lifelog search challenge 2021 LD Tran, MD Nguyen, DT Dang-Nguyen, S Heller, F Spiess, J Lokoč, ... IEEE Access 11, 30982-30995, 2023 | 25 | 2023 |
| Classification of fMRI data using dynamic time warping based functional connectivity analysis R Meszlényi, L Peska, V Gál, Z Vidnyánszky, K Buza 2016 24th European signal processing conference (EUSIPCO), 245-249, 2016 | 25 | 2016 |
| Using the context of user feedback in recommender systems L Peska arXiv preprint arXiv:1612.04978, 2016 | 21 | 2016 |
| Negative implicit feedback in e-commerce recommender systems L Peska, P Vojtas Proceedings of the 3rd International Conference on Web Intelligence, Mining …, 2013 | 21 | 2013 |
| Modified linear regression predicts drug-target interactions accurately K Buza, L Peška, J Koller PloS one 15 (4), e0230726, 2020 | 20 | 2020 |
| Video search with context-aware ranker and relevance feedback J Lokoč, F Mejzlík, T Souček, P Dokoupil, L Peška International Conference on Multimedia Modeling, 505-510, 2022 | 19 | 2022 |
| Upcomp-a php component for recommendation based on user behaviour L Peska, A Eckhardt, P Vojtas 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011 | 19 | 2011 |
| On the user-centric comparative remote evaluation of interactive video search systems L Rossetto, R Gasser, S Heller, M Parian-Scherb, L Sauter, F Spiess, ... IEEE MultiMedia 28 (4), 18-28, 2021 | 18 | 2021 |
| Aladin: a new approach for drug–target interaction prediction K Buza, L Peska Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 18 | 2017 |
| Fairness-preserving group recommendations with user weighting L Malecek, L Peska Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation …, 2021 | 16 | 2021 |
| W2VV++ BERT model at VBS 2021 L Peška, G Kovalčík, T Souček, V Škrhák, J Lokoč MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech …, 2021 | 15 | 2021 |
Peter VojtasProfessor of Computer Science, Charles University PragueПотвърден имейл адрес: ksi.mff.cuni.cz
