| REVIGO summarizes and visualizes long lists of gene ontology terms F Supek, M Bošnjak, N Škunca, T Šmuc PloS one 6 (7), e21800, 2011 | 5182 | 2011 |
| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 935 | 2013 |
| emoji2vec: Learning emoji representations from their description B Eisner, T Rocktäschel, I Augenstein, M Bošnjak, S Riedel arXiv preprint arXiv:1609.08359, 2016 | 304 | 2016 |
| Programming With a Differentiable Forth Interpreter M Bošnjak, T Rocktäschel, J Naradowsky, S Riedel 34th International Conference on Machine Learning (ICML) 70, 547-556, 2017 | 158* | 2017 |
| Twitterecho: a distributed focused crawler to support open research with twitter data M Bošnjak, E Oliveira, J Martins, E Mendes Rodrigues, L Sarmento Proceedings of the 21st international conference on World Wide Web, 1233-1240, 2012 | 131 | 2012 |
| Scan: Learning hierarchical compositional visual concepts I Higgins, N Sonnerat, L Matthey, A Pal, CP Burgess, M Bosnjak, ... arXiv preprint arXiv:1707.03389, 2017 | 114 | 2017 |
| Differentiable Reasoning on Large Knowledge Bases and Natural Language P Minervini, M Bošnjak, T Rocktäschel, S Riedel, E Grefenstette The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 99 | 2020 |
| Cobra: Data-efficient model-based rl through unsupervised object discovery and curiosity-driven exploration N Watters, L Matthey, M Bosnjak, CP Burgess, A Lerchner arXiv preprint arXiv:1905.09275, 2019 | 98 | 2019 |
| Low-dimensional embeddings of logic T Rocktäschel, M Bosnjak, S Singh, S Riedel Proceedings of the ACL 2014 workshop on semantic parsing, 45-49, 2014 | 78 | 2014 |
| Towards neural theorem proving at scale P Minervini, M Bosnjak, T Rocktäschel, S Riedel arXiv preprint arXiv:1807.08204, 2018 | 48 | 2018 |
| Phyletic profiling with cliques of orthologs is enhanced by signatures of paralogy relationships N Škunca, M Bošnjak, A Kriško, P Panov, S Džeroski, T Šmuc, F Supek PLoS computational biology 9 (1), e1002852, 2013 | 46 | 2013 |
| RSCTC’2010 discovery challenge: Mining DNA microarray data for medical diagnosis and treatment M Wojnarski, A Janusz, HS Nguyen, J Bazan, CJ Luo, Z Chen, F Hu, ... Rough Sets and Current Trends in Computing: 7th International Conference …, 2010 | 42 | 2010 |
| A Strong Lexical Matching Method for the Machine Comprehension Test E Smith, N Greco, M Bošnjak, A Vlachos | 36 | 2015 |
| Determining language variant in microblog messages G Laboreiro, M Bošnjak, L Sarmento, EM Rodrigues, E Oliveira Proceedings of the 28th Annual ACM Symposium on Applied Computing, 902-907, 2013 | 20 | 2013 |
| Making sense of raw input R Evans, M Bošnjak, L Buesing, K Ellis, D Pfau, P Kohli, M Sergot Artificial Intelligence 299, 103521, 2021 | 18 | 2021 |
| Extending rapidminer with recommender systems algorithms M Mihelčić, N Antulov-Fantulin, M Bošnjak, T Šmuc Proceedings of the 3rd RapidMiner Community Meeting and Conference (RCOMM …, 2012 | 17 | 2012 |
| Ecml-pkdd 2011 discovery challenge overview N Antulov-Fantulin, M Bošnjak, M Znidaršic, M Grcar, M Morzy, T Šmuc Discovery Challenge, 7-20, 2011 | 14 | 2011 |
| Jack the reader-A machine reading framework D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ... arXiv preprint arXiv:1806.08727, 2018 | 10 | 2018 |
| A generalist neural algorithmic learner B Ibarz, V Kurin, G Papamakarios, K Nikiforou, M Bennani, R Csordás, ... Learning on Graphs Conference, 2: 1-2: 23, 2022 | 7 | 2022 |
| Constructing recommender systems workflow templates in RapidMiner M Bošnjak, N Antulov-Fantulin, T Šmuc, D Gamberger Proc. of the 2nd RapidMiner Community Meeting and Conference, 101-112, 2011 | 7 | 2011 |
Tomislav ŠmucSenior scientist, Rudjer Boskovic Institute, Zagreb, CroatiaVerified email at irb.hr
