| GeneTools–application for functional annotation and statistical hypothesis testing V Beisvag, FKR Jünge, H Bergum, L Jølsum, S Lydersen, CC Günther, ... BMC bioinformatics 7 (1), 1-13, 2006 | 106 | 2006 |
| Detecting offensive language in tweets using deep learning GK Pitsilis, H Ramampiaro, H Langseth arXiv preprint arXiv:1801.04433, 2018 | 86 | 2018 |
| A deep network model for paraphrase detection in short text messages B Agarwal, H Ramampiaro, H Langseth, M Ruocco Information Processing & Management 54 (6), 922-937, 2018 | 68 | 2018 |
| Multi-step classification approaches to cumulative citation recommendation K Balog, H Ramampiaro, N Takhirov, K Nørvåg Proceedings of the 10th conference on open research areas in information …, 2013 | 61 | 2013 |
| Effective hate-speech detection in Twitter data using recurrent neural networks GK Pitsilis, H Ramampiaro, H Langseth Applied Intelligence 48 (12), 4730-4742, 2018 | 60 | 2018 |
| Cumulative citation recommendation: Classification vs. ranking K Balog, H Ramampiaro Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 46 | 2013 |
| Efficient high utility itemset mining using buffered utility-lists QH Duong, P Fournier-Viger, H Ramampiaro, K Nørvåg, TL Dam Applied Intelligence, 19, 2017 | 33 | 2017 |
| A scalable algorithm for extraction and clustering of event-related pictures M Ruocco, H Ramampiaro Multimedia Tools and Applications 70 (1), 55-88, 2014 | 22 | 2014 |
| The MOWAHS characterisation framework for mobile work CF Sorensen, AI Wang, HN Le, H Ramampiaro, M Nygard, R Conradi APPLIED INFORMATICS-PROCEEDINGS-, 258-264, 2002 | 20 | 2002 |
| Requirement Indicators for Mobile Work: The MOWAHS Approach H Ramampiaro, AI Wang, CF Sørensen, HN Le, R Conradi, M Nygård Proceedings of the International Symposia on Applied Informatics, 2003 | 19* | 2003 |
| Highly efficient pattern mining based on transaction decomposition Y Djenouri, JCW Lin, K Nørvåg, H Ramampiaro 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1646-1649, 2019 | 15 | 2019 |
| Learning to rank for personalised fashion recommender systems via implicit feedback HT Nguyen, T Almenningen, M Havig, H Schistad, A Kofod-Petersen, ... Mining Intelligence and Knowledge Exploration, 51-61, 2014 | 15 | 2014 |
| Cagistrans: Providing adaptable transactional support for cooperative work–an extended treatment H Ramampiaro, M Nygård Information Technology and Management 5 (1), 23-64, 2004 | 15 | 2004 |
| Combining latent semantic indexing and clustering to retrieve and cluster biomedical information: A 2-step approach JR Paulsen, H Ramampiaro NIK-2009 conference, 131-142, 2009 | 14 | 2009 |
| Cooperative database system: A constructive review of cooperative transaction models H Ramampiaro, M Nygard Proceedings 1999 International Symposium on Database Applications in Non …, 1999 | 14* | 1999 |
| Exploratory analysis on heterogeneous tag-point patterns for ranking and extracting hot-spot related tags M Ruocco, H Ramampiaro Proceedings of the 4th ACM SIGSPATIAL international workshop on location …, 2012 | 13 | 2012 |
| Event clusters detection on flickr images using a suffix-tree structure M Ruocco, H Ramampiaro 2010 IEEE International Symposium on Multimedia, 41-48, 2010 | 13 | 2010 |
| Supporting evidence-based software engineering with collaborative information retrieval H Ramampiaro, D Cruzes, R Conradi, M Mendona 6th International Conference on Collaborative Computing: Networking …, 2010 | 12* | 2010 |
| CAGISTrans: Adaptable Transactional Support for Cooperative Work H Ramampiaro Fakultet for informasjonsteknologi, matematikk og elektroteknikk, 2001 | 11 | 2001 |
| Cagistrans: Providing adaptable transactional support for cooperative work H Ramampiaro, M Nygård Proceedings of the 6th INFORMS conference on Information Systems and …, 2001 | 11 | 2001 |
Helge LangsethNorwegian University of Science and TechnologyVerified email at ntnu.no
