Obserwuj
Heri Ramampiaro
Heri Ramampiaro
Professor of Computer Science at the Norwegian University of Science and Technology (NTNU)
Zweryfikowany adres z ntnu.no - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Effective hate-speech detection in Twitter data using recurrent neural networks
GK Pitsilis, H Ramampiaro, H Langseth
Applied Intelligence 48 (12), 4730-4742, 2018
1412018
Detecting offensive language in tweets using deep learning
GK Pitsilis, H Ramampiaro, H Langseth
arXiv preprint arXiv:1801.04433, 2018
1412018
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
1122006
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
1042018
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
652013
Efficient high utility itemset mining using buffered utility-lists
QH Duong, P Fournier-Viger, H Ramampiaro, K Nørvåg, TL Dam
Applied Intelligence, 19, 2017
642017
Cumulative citation recommendation: Classification vs. ranking
K Balog, H Ramampiaro
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
482013
EfficientPose: Scalable single-person pose estimation
D Groos, H Ramampiaro, E Ihlen
Applied Intelligence 51, 2518–2533, 2020
442020
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
362019
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
262014
A scalable algorithm for extraction and clustering of event-related pictures
M Ruocco, H Ramampiaro
Multimedia Tools and Applications 70 (1), 55-88, 2014
242014
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
Content-based social recommendation with poisson matrix factorization
ES Silva, H Langseth, H Ramampiaro
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
182017
Towards efficiently mining closed high utility itemsets from incremental databases
TL Dam, H Ramampiaro, K Nørvåg, QH Duong
Knowledge-Based Systems 165, 13-29, 2019
172019
Extracting news events from microblogs
Ø Repp, H Ramampiaro
Journal of Statistics and Management Systems 21 (4), 695-723, 2018
172018
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
17*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
162009
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
TS Salem, H Langseth, H Ramampiaro
36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR volume 124, 2020
142020
Forecasting Intra-Hour Imbalances in Electric Power Systems
T Saleh Salem, K Kathuria, H Ramampiaro, H Langseth
Association for the Advancement of Artificial Intelligence, 2019
142019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20