| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 260* | 2006 |
| Peer-to-peer computing: Principles and applications QH Vu, M Lupu, BC Ooi Springer Science & Business Media, 2009 | 177 | 2009 |
| CLEF-IP 2012 F Piroi, M Lupu, A Hanbury, WM Wahba, AP Sexton, I Filippov CEUR-WS, 2012 | 170* | 2012 |
| Current challenges in patent information retrieval MLKMJ Tait, AJ Trippe | 115* | 2011 |
| Current challenges in patent information retrieval M Lupu, K Mayer, J Tait, AJ Trippe Springer Science & Business Media, 2011 | 111* | 2011 |
| Patent retrieval M Lupu, A Hanbury Foundations and Trends® in Information Retrieval 7 (1), 1-97, 2013 | 100 | 2013 |
| Volatility prediction using financial disclosures sentiments with word embedding-based IR models N Rekabsaz, M Lupu, A Baklanov, A Hanbury, A Dür, L Anderson arXiv preprint arXiv:1702.01978, 2017 | 96 | 2017 |
| Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation. B Ionescu, A Popescu, M Lupu, AL Gînsca, H Müller MediaEval, 2014 | 87 | 2014 |
| CLEF eHealth evaluation lab 2015, task 2: Retrieving information about medical symptoms J Palotti, G Zuccon, L Goeuriot, L Kelly, A Hanbury, GJ Jones, M Lupu, ... Proc. of CLEF, 2015 | 71 | 2015 |
| Credibility in information retrieval AL Ginsca, A Popescu, M Lupu foundations and trends® in information retrieval 9 (5), 355-475, 2015 | 66 | 2015 |
| The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval. G Zuccon, JRM Palotti, L Goeuriot, L Kelly, M Lupu, P Pecina, H Mueller, ... CLEF (Working Notes), 15-27, 2016 | 62 | 2016 |
| Overview of the special issue on trust and veracity of information in social media S Papadopoulos, K Bontcheva, E Jaho, M Lupu, C Castillo ACM Transactions on Information Systems (TOIS) 34 (3), 1-5, 2016 | 58 | 2016 |
| Exploration of a threshold for similarity based on uncertainty in word embedding N Rekabsaz, M Lupu, A Hanbury Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 57 | 2017 |
| Overview of the TREC 2009 Chemical IR Track X Huang, J Zhu, M Lupu, F Piroi, J Tait YORK UNIV DOWNSVIEW (ONTARIO), 2009 | 48* | 2009 |
| Overview of the TREC chemical IR track M Lupu, F Piroi, J Huang, J Zhu, J Tait Proceedings of the 18th text retrieval conference, 2009 | 48* | 2009 |
| TREC-CHEM: large scale chemical information retrieval evaluation at TREC M Lupu, J Huang, J Zhu, J Tait Acm Sigir Forum 43 (2), 63-70, 2009 | 47 | 2009 |
| Div150Cred: A Social Image Retrieval Result Diversification with User Tagging Credibility Dataset B Ionescu, A Popescu, M Lupu, AL Gînsca, B Boteanu, H Müller | 40* | |
| Word embedding causes topic shifting; exploit global context! N Rekabsaz, M Lupu, A Hanbury, H Zamani Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 35 | 2017 |
| Information retrieval, machine learning, and natural language processing for intellectual property information M Lupu World Patent Information 49, A1-A3, 2017 | 35 | 2017 |
| Generalizing translation models in the probabilistic relevance framework N Rekabsaz, M Lupu, A Hanbury, G Zuccon Proceedings of the 25th ACM international on conference on information and …, 2016 | 34 | 2016 |
Allan HanburyTU Wien, Complexity Science Hub ViennaDirección de correo verificada de tuwien.ac.at
