Articles with public access mandates - Fernando De la TorreLearn more
Not available anywhere: 2
Error-correcting factorization
MÁB Martin, O Pujol, F De la Torre, S Escalera
IEEE transactions on pattern analysis and machine intelligence 40 (10), 2388 …, 2017
Mandates: Government of Spain
Foreword-De-identification for Privacy Protection in Multimedia 2015
T Boult, F De la Torre, S Ribaric, V Struc
2015 11th IEEE International Conference and Workshops on Automatic Face and …, 2015
Mandates: European Commission
Available somewhere: 61
Facing imbalanced data--recommendations for the use of performance metrics
LA Jeni, JF Cohn, F De La Torre
2013 Humaine association conference on affective computing and intelligent …, 2013
Mandates: US National Institutes of Health
Face recognition using histograms of oriented gradients
O Déniz, G Bueno, J Salido, F De la Torre
Pattern recognition letters 32 (12), 1598-1603, 2011
Mandates: Government of Spain
Detecting depression from facial actions and vocal prosody
JF Cohn, TS Kruez, I Matthews, Y Yang, MH Nguyen, MT Padilla, F Zhou, ...
2009 3rd international conference on affective computing and intelligent …, 2009
Mandates: US National Institutes of Health
Selective Transfer Machine for Personalized Facial Action Unit Detection
WS Chu, F De la Torre, JF Cohn
Mandates: US National Institutes of Health
Joint patch and multi-label learning for facial action unit detection
K Zhao, WS Chu, F De la Torre, JF Cohn, H Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Selective transfer machine for personalized facial expression analysis
WS Chu, F De la Torre, JF Cohn
IEEE transactions on pattern analysis and machine intelligence 39 (3), 529-545, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Facial expression analysis
F De la Torre, JF Cohn
Visual analysis of humans: Looking at people, 377-409, 2011
Mandates: US National Institutes of Health
Learning spatial and temporal cues for multi-label facial action unit detection
WS Chu, F De la Torre, JF Cohn
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
Mandates: US National Institutes of Health
Personalized stress detection from physiological measurements
Y Shi, MH Nguyen, P Blitz, B French, S Fisk, F De la Torre, A Smailagic, ...
International symposium on quality of life technology 1, 28-29, 2010
Mandates: US National Institutes of Health
Robust regression
D Huang, R Cabral, F De la Torre
IEEE transactions on pattern analysis and machine intelligence 38 (2), 363-375, 2015
Mandates: Fundação para a Ciência e a Tecnologia, Portugal
Continuous au intensity estimation using localized, sparse facial feature space
LA Jeni, JM Girard, JF Cohn, F De La Torre
2013 10th IEEE international conference and workshops on automatic face and …, 2013
Mandates: US National Institutes of Health
Unsupervised discovery of facial events
F Zhou, F De la Torre, JF Cohn
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Mandates: US National Institutes of Health
Action unit detection with segment-based SVMs
T Simon, MH Nguyen, F De La Torre, JF Cohn
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Mandates: US National Institutes of Health
Joint patch and multi-label learning for facial action unit and holistic expression recognition
K Zhao, WS Chu, F De la Torre, JF Cohn, H Zhang
IEEE Transactions on Image Processing 25 (8), 3931-3946, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Spontaneous facial expression in unscripted social interactions can be measured automatically
JM Girard, JF Cohn, LA Jeni, MA Sayette, F De la Torre
Behavior research methods 47, 1136-1147, 2015
Mandates: US National Institutes of Health
Confidence preserving machine for facial action unit detection
J Zeng, WS Chu, F De la Torre, JF Cohn, Z Xiong
Proceedings of the IEEE international conference on computer vision, 3622-3630, 2015
Mandates: US National Institutes of Health, National Natural Science Foundation of China
Improving the performance of physiologic hot flash measures with support vector machines
RC Thurston, KA Matthews, J Hernandez, F De La Torre
Psychophysiology 46 (2), 285-292, 2009
Mandates: US National Institutes of Health
Increasing robustness in the detection of freezing of gait in Parkinson’s disease
R San-Segundo, H Navarro-Hellín, R Torres-Sánchez, J Hodgins, ...
Electronics 8 (2), 119, 2019
Mandates: US National Science Foundation, Government of Spain
Publication and funding information is determined automatically by a computer program