Heri Ramampiaro
Heri Ramampiaro
Professor of Computer Science at the Norwegian University of Science and Technology (NTNU)
Verified email at ntnu.no - Homepage
Cited by
Cited by
Detecting offensive language in tweets using deep learning
GK Pitsilis, H Ramampiaro, H Langseth
arXiv preprint arXiv:1801.04433, 2018
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
Effective hate-speech detection in Twitter data using recurrent neural networks
GK Pitsilis, H Ramampiaro, H Langseth
Applied Intelligence 48 (12), 4730-4742, 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
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
Cumulative citation recommendation: Classification vs. ranking
K Balog, H Ramampiaro
Proceedings of the 36th international ACM SIGIR conference on Research and …, 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
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
A scalable algorithm for extraction and clustering of event-related pictures
M Ruocco, H Ramampiaro
Multimedia Tools and Applications 70 (1), 55-88, 2014
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
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
The MOWAHS characterisation framework for mobile work
CF Sorensen, AI Wang, HN Le, H Ramampiaro, M Nygard, R Conradi
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
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
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
Cagistrans: Providing adaptable transactional support for cooperative work–an extended treatment
H Ramampiaro, M Nygård
Information Technology and Management 5 (1), 23-64, 2004
Cooperative database system: A constructive review of cooperative transaction models
H Ramampiaro, M Nygard
Proceedings 1999 International Symposium on Database Applications in Non …, 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
EfficientPose: Scalable single-person pose estimation
D Groos, H Ramampiaro, E Ihlen
arXiv preprint arXiv:2004.12186, 2020
Extracting news events from microblogs
Ø Repp, H Ramampiaro
Journal of Statistics and Management Systems 21 (4), 695-723, 2018
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