Temporal fusion transformers for interpretable multi-horizon time series forecasting B Lim, SO Arik, N Loeff, T Pfister arXiv preprint arXiv:1912.09363, 2019 | 99 | 2019 |
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 | 77 | 2021 |
Scene discovery by matrix factorization N Loeff, A Farhadi European Conference on Computer Vision, 451-464, 2008 | 67 | 2008 |
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 | 67 | 2007 |
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 | 62 | 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 | 29 | 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 | 26 | 2008 |
Unlabeled data improvesword prediction N Loeff, A Farhadi, I Endres, DA Forsyth 2009 IEEE 12th International Conference on Computer Vision, 956-962, 2009 | 16 | 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 |
Sistema de detección, clasificación e identificación en lınea de complejos QRS P Aguirre, J Cardelino, N Loeff | 4 | 2002 |
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 N LOEFF Intelligent Engineering Systems Through Artificial Neural Networks …, 2003 | | 2003 |