Temporal fusion transformers for interpretable multi-horizon time series forecasting B Lim, SÖ Arık, N Loeff, T Pfister International Journal of Forecasting 37 (4), 1748-1764, 2021 | 1144 | 2021 |
Unsupervised segmentation of objects using efficient learning H Arora, N Loeff, DA Forsyth, N Ahuja 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007 | 71 | 2007 |
Scene discovery by matrix factorization N Loeff, A Farhadi Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 68 | 2008 |
Discriminating image senses by clustering with multimodal features N Loeff, CO Alm, D Forsyth Proceedings of the COLING/ACL 2006 main conference poster sessions, 547-554, 2006 | 65 | 2006 |
Efficient unsupervised learning for localization and detection in object categories N Loeff, H Arora, A Sorokin, D Forsyth Advances in Neural Information Processing Systems 18, 2005 | 31 | 2005 |
ManifoldBoost: stagewise function approximation for fully-, semi-and un-supervised learning N Loeff, D Forsyth, D Ramachandran Proceedings of the 25th international conference on machine learning, 600-607, 2008 | 27 | 2008 |
Temporal fusion transformers for interpretable multi-horizon time series forecasting. arxiv B Lim, SO Arik, N Loeff, T Pfister arXiv preprint arXiv:1912.09363, 2019 | 19 | 2019 |
Unlabeled data improvesword prediction N Loeff, A Farhadi, I Endres, DA Forsyth 2009 IEEE 12th International Conference on Computer Vision, 956-962, 2009 | 18 | 2009 |
Words and Pictures: Categories, Modifiers, Depiction, and Iconography DA Forsyth, T Berg, CO Alm, G Wang Object categorization: Computer and human vision perspectives, 167, 2009 | 15 | 2009 |
Challenges for annotating images for sense disambiguation CO Alm, N Loeff, D Forsyth Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora …, 2006 | 12 | 2006 |
CARDIDENT: Sistema de detección, clasificación e identificación en línea de complejos QRS. P Aguirre, J Cardelino, N Loeff Udelar. FI., 2002 | 4 | 2002 |
Sistema de detección, clasificación e identificación en lınea de complejos QRS P Aguirre, J Cardelino, N Loeff | 4 | 2002 |
Processing Multi-Horizon Forecasts For Time Series Data SJB Lim, SO Arik, N Loeff, T Pfister US Patent App. 17/782,865, 2023 | | 2023 |
Regression and Time Series Forecasting R Sen, NIE Shuxin, Y Li, A Das, N Loeff, AT Suresh, P Awasthi, B Paria US Patent App. 17/804,082, 2022 | | 2022 |
A new framework for semisupervised, multitask learning N Loeff University of Illinois at Urbana-Champaign, 2009 | | 2009 |
CLASSIFICATION OF QRS COMPLEXES USING A MIXTURE OF EXPERTS J CARDELINO, N LOEFF Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary …, 2003 | | 2003 |