| Trainable classifier-fusion schemes: an application to pedestrian detection O Ludwig, D Delgado, V Gonçalves, U Nunes Intelligent Transportation Systems, 2009. ITSC'09. 12th International IEEE …, 2009 | 344 | 2009 |
| LIDAR and vision‐based pedestrian detection system C Premebida, O Ludwig, U Nunes Journal of Field Robotics 26 (9), 696-711, 2009 | 274 | 2009 |
| Exploiting LIDAR-based features on pedestrian detection in urban scenarios C Premebida, O Ludwig, U Nunes 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 132 | 2009 |
| Novel maximum-margin training algorithms for supervised neural networks O Ludwig, U Nunes IEEE Transactions on Neural Networks 21 (6), 972-984, 2010 | 112 | 2010 |
| Redes neurais-fundamentos e aplicações com programas em C O Ludwig, E Costa Editora Ciência Moderna, 2007 | 83 | 2007 |
| Eigenvalue decay: A new method for neural network regularization O Ludwig, U Nunes, R Araujo Neurocomputing 124, 33-42, 2014 | 81 | 2014 |
| Applications of information theory, genetic algorithms, and neural models to predict oil flow O Ludwig, U Nunes, R Araújo, L Schnitman, HA Lepikson Communications in Nonlinear Science and Numerical Simulation 14 (7), 2870-2885, 2009 | 69 | 2009 |
| Improving the generalization properties of neural networks: an application to vehicle detection O Ludwig, U Nunes Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE …, 2008 | 55 | 2008 |
| Design of automatic meter reading based on Zigbee P Corral, B Coronado, AC de Castro Lima, O Ludwig IEEE Latin America Transactions 10 (1), 1150-1155, 2012 | 48 | 2012 |
| A cascade classifier applied in pedestrian detection using laser and image-based features C Premebida, O Ludwig, M Silva, U Nunes 13th International IEEE Conference on Intelligent Transportation Systems …, 2010 | 36 | 2010 |
| Evaluation of boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection O Ludwig, C Premebida, U Nunes, R Araújo 2011 14th International IEEE Conference on Intelligent Transportation …, 2011 | 20 | 2011 |
| End-to-end adversarial learning for generative conversational agents O Ludwig arXiv preprint arXiv:1711.10122, 2017 | 17 | 2017 |
| Improving the generalization capacity of cascade classifiers O Ludwig, U Nunes, B Ribeiro, C Premebida IEEE Transactions on Cybernetics 43 (6), 2135-2146, 2013 | 16 | 2013 |
| Deep Embedding for Spatial Role Labeling O Ludwig, X Liu, P Kordjamshidi, MF Moens eprint arXiv:1603.08474, Mar 2016, 2016 | 15 | 2016 |
| Time-varying channel neural equalisation using Gauss-Newton algorithm P Corral, O Ludwig, ACC Lima electronics letters 46 (15), 1055-1056, 2010 | 15 | 2010 |
| Parking spaces detection in indoor environments based on Zigbee P Corral, JA Perez, ACDC Lima, O Ludwig IEEE Latin America Transactions 10 (1), 1162-1167, 2012 | 11 | 2012 |
| Exploring sensor fusion schemes for pedestrian detection in urban scenarios C Premebida, O Ludwig, J Matsuura, U Nunes Iros 3rd Workshop: Planning, Perception and Navigation for Intelligent …, 2009 | 8 | 2009 |
| Neural equalizer for time varying channel using Gauss-Newton training algorithm CJC Santos, O Ludwig, PC Gonzalez, ACC Lima 2008 2nd International Conference on Signal Processing and Communication …, 2008 | 8 | 2008 |
| Optimization of ann applied to non-linear system identification O Ludwig, PC Gonzalez, AC de C Lima Proceedings of the 25th IASTED international conference on Modeling …, 2006 | 8 | 2006 |
| Learning to extract action descriptions from narrative text O Ludwig, QNT Do, C Smith, M Cavazza, MF Moens IEEE Transactions on Games 10 (1), 15-28, 2017 | 7 | 2017 |
Urbano José C. NunesProfessor, Electrical and Computer Engineering Dept., University of Coimbra在 deec.uc.pt 的电子邮件经过验证
