Heri Ramampiaro
Heri Ramampiaro
Professor of Computer Science at the Norwegian University of Science and Technology (NTNU)
Vahvistettu sähköpostiosoite verkkotunnuksessa ntnu.no - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1092006
Detecting offensive language in tweets using deep learning
GK Pitsilis, H Ramampiaro, H Langseth
arXiv preprint arXiv:1801.04433, 2018
972018
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
742018
Effective hate-speech detection in Twitter data using recurrent neural networks
GK Pitsilis, H Ramampiaro, H Langseth
Applied Intelligence 48 (12), 4730-4742, 2018
652018
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
622013
Cumulative citation recommendation: Classification vs. ranking
K Balog, H Ramampiaro
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
472013
Efficient high utility itemset mining using buffered utility-lists
QH Duong, P Fournier-Viger, H Ramampiaro, K Nørvåg, TL Dam
Applied Intelligence, 19, 2017
382017
A scalable algorithm for extraction and clustering of event-related pictures
M Ruocco, H Ramampiaro
Multimedia Tools and Applications 70 (1), 55-88, 2014
222014
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
202019
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
202002
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
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
162014
Cagistrans: Providing adaptable transactional support for cooperative work–an extended treatment
H Ramampiaro, M Nygård
Information Technology and Management 5 (1), 23-64, 2004
152004
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
14*2010
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
142009
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
Content-based social recommendation with poisson matrix factorization
ES da Silva, H Langseth, H Ramampiaro
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
132017
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
132012
Event clusters detection on flickr images using a suffix-tree structure
M Ruocco, H Ramampiaro
2010 IEEE International Symposium on Multimedia, 41-48, 2010
132010
CAGISTrans: Adaptable Transactional Support for Cooperative Work
H Ramampiaro
Fakultet for informasjonsteknologi, matematikk og elektroteknikk, 2001
112001
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Artikkelit 1–20