| 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, 77-124, 2019 | 789 | 2019 |
| 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 | 83 | 2020 |
| Deep learning for proactive network monitoring and security protection G Nguyen, S Dlugolinsky, V Tran, AL Garcia ieee Access 8, 19696-19716, 2020 | 59 | 2020 |
| Email analysis and information extraction for enterprise benefit M Laclavík, Š Dlugolinský, M Šeleng, M Kvassay, E Gatial, Z Balogh, ... Computing and informatics 30 (1), 57-87, 2011 | 54 | 2011 |
| 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 | 33 | 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, ... Advanced Agent Technology: AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM 3 …, 2012 | 31 | 2012 |
| & Hluchý G Nguyen, S Dlugolinsky, M Bobák, V Tran, Á López García, I Heredia Machine learning and deep learning frameworks and libraries for largescale …, 2019 | 25 | 2019 |
| Evaluation of named entity recognition tools on microposts Š Dlugolinský, M Ciglan, M Laclavík 2013 IEEE 17th International Conference on Intelligent Engineering Systems …, 2013 | 21 | 2013 |
| 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 |
| 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 | 17 | 2011 |
| Combining named entity recognition methods for concept extraction in microposts Š Dlugolinský, P Krammer, M Ciglan, M Laclavík, L Hluchý Making Sense of Microposts (# Microposts2014), 2014 | 11 | 2014 |
| Heterogeneous exascale computing L Hluchý, M Bobák, H Müller, M Graziani, J Maassen, H Spreeuw, ... Recent advances in intelligent engineering: volume dedicated to Imre J …, 2020 | 10 | 2020 |
| 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 | 10 | 2015 |
| MSM2013 IE Challenge: Annotowatch. S Dlugolinsky, P Krammer, M Ciglan, M Laclavik # MSM, 21-26, 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 |
| Character gazetteer for named entity recognition with linear matching complexity S Dlugolinsky, G Nguyen, M Laclavík, M Seleng 2013 Third World Congress on Information and Communication Technologies …, 2013 | 9 | 2013 |
| 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 |
| A. L. Garcı́a, I. Heredia, P. Malı́k, and L. Hluchỳ,`` G Nguyen, S Dlugolinsky, M Bobák, V Tran Machine learning and deep learning frameworks and libraries for large-scale …, 2019 | 8 | 2019 |
| A novel way of using simulations to support urban security operations M Kvassay, L Hluchý, Š Dlugolinský, B Schneider, H Bracker, A Tavčar, ... Computing and Informatics 34 (6), 1201-1233, 2015 | 8 | 2015 |
Ladislav HluchyScientist, Institute of Informatics, Slovak Academy of Sciences在 savba.sk 的电子邮件经过验证
