Experimental evaluation of uncalibrated visual servoing for precision manipulation M Jagersand, O Fuentes, R Nelson Proceedings of International Conference on Robotics and Automation 4, 2874-2880, 1997 | 297 | 1997 |
Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology DPC Peters, KM Havstad, J Cushing, C Tweedie, O Fuentes, ... Ecosphere 5 (6), 1-15, 2014 | 166 | 2014 |
Genetic algorithms: what fitness scaling is optimal? V Kreinovich, C Quintana, O Fuentes Cybernetics and Systems 24 (1), 9-26, 1993 | 151 | 1993 |
Machine learning and image analysis for morphological galaxy classification J De La Calleja, O Fuentes Monthly Notices of the Royal Astronomical Society 349 (1), 87-93, 2004 | 149 | 2004 |
Object detection using image reconstruction with PCA L Malagon-Borja, O Fuentes Image and Vision Computing 27 (1-2), 2-9, 2009 | 117 | 2009 |
Color-based road sign detection and tracking LD Lopez, O Fuentes International Conference Image Analysis and Recognition, 1138-1147, 2007 | 115 | 2007 |
Automatic classification of pathological gait patterns using ground reaction forces and machine learning algorithms M Alaqtash, T Sarkodie-Gyan, H Yu, O Fuentes, R Brower, A Abdelgawad 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 103 | 2011 |
What non-linearity to choose? Mathematical foundations of fuzzy control V Kreinovich, C Quintana, R Lea, O Fuentes, A Lokshin, S Kumar, ... Proceedings of the 1992 International Conference on Fuzzy Systems and …, 1992 | 78 | 1992 |
Color analysis of facial skin: Detection of emotional state GA Ramirez, O Fuentes, SL Crites Jr, M Jimenez, J Ordonez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 76 | 2014 |
Knowledge transfer in deep convolutional neural nets S Gutstein, O Fuentes, E Freudenthal International Journal on Artificial Intelligence Tools 17 (03), 555-567, 2008 | 63 | 2008 |
Hierarchical learning of navigational behaviors in an autonomous robot using a predictive sparse distributed memory RPN Rao, O Fuentes Autonomous Robots 5, 297-316, 1998 | 54 | 1998 |
Dialog prediction for a general model of turn-taking NG Ward, O Fuentes, A Vega Eleventh Annual Conference of the International Speech Communication Association, 2010 | 48 | 2010 |
A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets. J De La Calleja, O Fuentes FLAIRS, 634-635, 2007 | 44 | 2007 |
Multi-pose face detection with asymmetric haar features GA Ramirez, O Fuentes 2008 IEEE Workshop on Applications of Computer Vision, 1-6, 2008 | 43 | 2008 |
Why deep neural networks: a possible theoretical explanation C Baral, O Fuentes, V Kreinovich Constraint programming and decision making: theory and applications, 1-5, 2018 | 36 | 2018 |
Learning dextrous manipulation skills for multifingered robot hands using the evolution strategy O Fuentes, RC Nelson Autonomous Robots 5, 395-405, 1998 | 35 | 1998 |
Learning navigational behaviors using a predictive sparse distributed memory RPN Rao, O Fuentes | 35 | 1996 |
Acquiring visual-motor models for precision manipulation with robot hands M Jägersand, O Fuentes, R Nelson Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996 | 35 | 1996 |
Local context normalization: Revisiting local normalization A Ortiz, C Robinson, D Morris, O Fuentes, C Kiekintveld, MM Hassan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 30 | 2020 |
Automated classification of galaxy images J De la Calleja, O Fuentes Knowledge-Based Intelligent Information and Engineering Systems: 8th …, 2004 | 30 | 2004 |