| Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey G Nguyen, S Dlugolinsky, M Bobák, V Tran, Á López García, I Heredia, ... Artificial Intelligence Review 52 (1), 77-124, 2019 | 364 | 2019 |
| Email analysis and information extraction for enterprise benefit M Kvassay, E Gatial Computing and informatics 30 (1), 57-87, 2011 | 51 | 2011 |
| A cloud-based framework for machine learning workloads and applications ÁL García, JM De Lucas, M Antonacci, W Zu Castell, M David, M Hardt, ... IEEE access 8, 18681-18692, 2020 | 36 | 2020 |
| Emails as graph: relation discovery in email archive M Laclavík, Š Dlugolinský, M Šeleng, M Ciglan, L Hluchý Proceedings of the 21st International Conference on World Wide Web, 841-846, 2012 | 31 | 2012 |
| Agent-based simulation platform evaluation in the context of human behavior modeling M Laclavík, Š Dlugolinský, M Šeleng, M Kvassay, B Schneider, H Bracker, ... International Conference on Autonomous Agents and Multiagent Systems, 396-410, 2011 | 29 | 2011 |
| Deep learning for proactive network monitoring and security protection G Nguyen, S Dlugolinsky, V Tran, ÁL García IEEE Access 8, 19696-19716, 2020 | 28 | 2020 |
| Use of E-mail Social Networks for Enterprise Benefit M Laclavík, Š Dlugolinský, M Kvassay, L Hluchý 2010 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2010 | 21 | 2010 |
| Evaluation of named entity recognition tools on microposts Š Dlugolinský, M Ciglan, M Laclavík 2013 IEEE 17th International Conference on Intelligent Engineering Systems …, 2013 | 19 | 2013 |
| Email social network extraction and search M Laclavík, Š Dlugolinsky, M Kvassay, L Hluchy 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2011 | 15 | 2011 |
| MSM2013 IE challenge: Annotowatch S Dlugolinsky, P Krammer, M Ciglan, M Laclavik Making Sense of Microposts (# MSM2013), 2013 | 10 | 2013 |
| Tools for email based recommendation in enterprise M Laclavík, M Šeleng, Š Dlugolinsky, E Gatial, L Hluchý International Conference on ENTERprise Information Systems, 209-218, 2010 | 10 | 2010 |
| Reconstructing Social Networks from Emails. M Kvassay, M Laclavik, S Dlugolinsky DATESO 10, 50-59, 2010 | 10 | 2010 |
| Handling internal complexity in highly realistic agent-based models of human behaviour L Hluchý, M Kvassay, Š Dlugolinský, B Schneider, H Bracker, B Kryza, ... 2011 6th IEEE International Symposium on Applied Computational Intelligence …, 2011 | 9 | 2011 |
| Search query categorization at scale M Laclavík, M Ciglan, S Steingold, M Seleng, A Dorman, S Dlugolinsky Proceedings of the 24th International Conference on World Wide Web, 1281-1286, 2015 | 8 | 2015 |
| A search based approach to entity recognition: magnetic and IISAS team at ERD challenge M Laclavik, M Ciglan, A Dorman, S Dlugolinsky, S Steingold, M Šeleng Proceedings of the first international workshop on Entity recognition …, 2014 | 8 | 2014 |
| Character gazetteer for named entity recognition with linear matching complexity S Dlugolinsky, G Nguyen, M Laclavik, M Seleng 2013 Third World Congress on Information and Communication Technologies …, 2013 | 8 | 2013 |
| Lightweight Semantic Approach for Enterprise Search and Interoperability. M Laclavík, S Dlugolinsky, M Seleng, M Ciglan, M Tomásek, M Kvassay, ... INVIT, 35-42, 2012 | 8 | 2012 |
| V. Tran, A. Garcia, I. Heredia, P. Malik, and L. Hluchy," G Nguyen, S Dlugolinsky, M Bobaket Machine Learning and Deep Learning Frameworks and Libraries for Large-scale …, 2019 | 7 | 2019 |
| A novel way of using simulations to support urban security operations M Kvassay, B Schneider, H Bracker, M Contat, J Kitowski Computing and Informatics 34 (6), 1201-1233, 2015 | 7 | 2015 |
| Hluchý, L G Nguyen, S Dlugolinsky, M Bobák, V Tran, ÁL García, I Heredia Tóbik, J.—Šipková, V.—Dobrucký, M.—Astaloš, J.—Tran, V.—Andok, R …, 2014 | 7 | 2014 |
Ladislav HluchyScientist, Institute of Informatics, Slovak Academy of SciencesVerified email at savba.sk
