Heri Ramampiaro
Heri Ramampiaro
Professor of Computer Science at the Norwegian University of Science and Technology (NTNU)
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Citado por
Effective hate-speech detection in Twitter data using recurrent neural networks
GK Pitsilis, H Ramampiaro, H Langseth
Applied Intelligence 48 (12), 4730-4742, 2018
Detecting offensive language in tweets using deep learning
GK Pitsilis, H Ramampiaro, H Langseth
arXiv preprint arXiv:1801.04433, 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
GeneTools – application for functional annotation and statistical hypothesis testing
V Beisvag, FKR Jünge, H Bergum, L Jølsum, S Lydersen, CC Günther, ...
BMC bioinformatics 7, 1-13, 2006
Efficient high utility itemset mining using buffered utility-lists
QH Duong, P Fournier-Viger, H Ramampiaro, K Nørvåg, TL Dam
Applied Intelligence, 19, 2017
EfficientPose: Scalable single-person pose estimation
D Groos, H Ramampiaro, E Ihlen
Applied Intelligence 51, 2518–2533, 2020
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
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
Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk
D Groos, L Adde, S Aubert, L Boswell, RA De Regnier, T Fjørtoft, ...
JAMA network open 5 (7), e2221325-e2221325, 2022
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
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
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: Second International …, 2014
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
Towards human-level performance on automatic pose estimation of infant spontaneous movements
D Groos, L Adde, R Støen, H Ramampiaro, EAF Ihlen
Computerized Medical Imaging and Graphics 95, 102012, 2022
Space–time series clustering: Algorithms, taxonomy, and case study on urban smart cities
A Belhadi, Y Djenouri, K Nørvåg, H Ramampiaro, F Masseglia, JCW Lin
Engineering Applications of Artificial Intelligence 95, 103857, 2020
Cagistrans: Providing adaptable transactional support for cooperative work–an extended treatment
H Ramampiaro, M Nygård
Information Technology and Management 5, 23-64, 2004
A scalable algorithm for extraction and clustering of event-related pictures
M Ruocco, H Ramampiaro
Multimedia Tools and Applications 70, 55-88, 2014
Content-based social recommendation with poisson matrix factorization
ES da Silva, H Langseth, H Ramampiaro
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
Extracting news events from microblogs
Ø Repp, H Ramampiaro
Journal of Statistics and Management Systems 21 (4), 695-723, 2018
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