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Federico Lecumberry
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2020 – today
- 2021
- [c18]Lucía Arboleya, Leonardo de Los Santos, Mariano Fernández, Lucía Rosa-Villagrán, Rossana Sapiro, Federico Lecumberry:
Sperm Tracking and Trajectory Analysis in Fluorescence Microscopy Image Sequences. SIGMAP 2021: 103-110 - 2020
- [c17]Luis D. Di Martino, Javier Preciozzi, Rafael Grompone von Gioi, Guillermo Garella, Alicia Fernández, Federico Lecumberry:
An a-contrario Biometric Fusion Approach. CVPR Workshops 2020: 3585-3593
2010 – 2019
- 2018
- [j7]Guillermo Dufort, Federico Favaro, Federico Lecumberry, Alvaro Martín, Juan Pablo Oliver, Julian Oreggioni, Ignacio Ramírez, Gadiel Seroussi, Leonardo Steinfeld:
Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression. IEEE Trans. Biomed. Circuits Syst. 12(1): 231-241 (2018) - 2017
- [j6]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Efficient Sequential Compression of Multichannel Biomedical Signals. IEEE J. Biomed. Health Informatics 21(4): 904-916 (2017) - 2016
- [j5]Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández:
Face matching with an a contrario false detection control. Neurocomputing 173: 64-71 (2016) - [c16]Luis D. Di Martino, Alicia Fernández, Rafael Grompone von Gioi, Federico Lecumberry, Javier Preciozzi:
A Statistical Approach to Reliability Estimation for Fingerprint Recognition. BIOSIG 2016: 183-194 - [c15]Daniela Megrian, Pablo S. Aguilar, Federico Lecumberry:
Similarity Measure for Cell Membrane Fusion Proteins Identification. CIARP 2016: 257-265 - [c14]Guillermo Dufort, Federico Favaro, Federico Lecumberry, Alvaro Martín, Juan Pablo Oliver, Julian Oreggioni, Ignacio Ramírez, Gadiel Seroussi, Leonardo Steinfeld:
Wearable EEG via lossless compression. EMBC 2016: 1995-1998 - [i1]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Efficient sequential compression of multi-channel biomedical signals. CoRR abs/1605.04418 (2016) - 2015
- [j4]Jose Nunes, Martín Piquerez, Leonardo Pujadas, Eileen Armstrong, Alicia Fernández, Federico Lecumberry:
Beef quality parameters estimation using ultrasound and color images. BMC Bioinform. 16(S-4): S6 (2015) - [j3]Alicia Fernández, Alvaro Gómez, Federico Lecumberry, Alvaro Pardo, Ignacio Ramírez:
Pattern Recognition in Latin America in the "Big Data" Era. Pattern Recognit. 48(4): 1185-1196 (2015) - [c13]Fernanda Rodríguez, Matías Di Martino, Juan Pablo Kosut, Fernando Santomauro, Federico Lecumberry, Alicia Fernández:
Optimal and Linear F-Measure Classifiers Applied to Non-technical Losses Detection. CIARP 2015: 83-91 - [c12]Martín Patrone, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Gadiel Seroussi:
EEG Signal Pre-Processing for the P300 Speller. CIARP 2015: 559-566 - 2014
- [c11]Matías Tailanián, Federico Lecumberry, Alicia Fernández, Giovanni Gnemmi, Ana Meikle, Isabel Pereira, Gregory Randall:
Dairy Cattle Sub-clinical Uterine Disease Diagnosis Using Pattern Recognition and Image Processing Techniques. CIARP 2014: 690-697 - [c10]Juan Tacón, Damián Melgarejo, Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Semisupervised Approach to Non Technical Losses Detection. CIARP 2014: 698-705 - [c9]Gabriel Lema, Luis D. Di Martino, Sebastian Berchesi, Alicia Fernández, Federico Lecumberry, Javier Preciozzi:
Evaluation of a face recognition system performance's variation on a citizen passports database. CLEI 2014: 1-6 - [c8]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Low-complexity, multi-channel, lossless and near-lossless EEG compression. EUSIPCO 2014: 2040-2044 - [c7]Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection. ICPRAM (Selected Papers) 2014: 196-205 - [c6]Luis D. Di Martino, Javier Preciozzi, Federico Lecumberry, Alicia Fernández:
An a-contrario Approach for Face Matching. ICPRAM 2014: 377-384 - [c5]Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández:
Non Technical Loses Detection - Experts Labels vs. Inspection Labels in the Learning Stage. ICPRAM 2014: 624-628 - 2013
- [j2]Matías Di Martino, Alicia Fernández, Pablo A. Iturralde, Federico Lecumberry:
Novel classifier scheme for imbalanced problems. Pattern Recognit. Lett. 34(10): 1146-1151 (2013) - 2012
- [c4]Pablo A. Iturralde, Martín Patrone, Federico Lecumberry, Alicia Fernández:
Motor Intention Recognition in EEG: In Pursuit of a Relevant Feature Set. CIARP 2012: 551-558 - 2010
- [j1]Federico Lecumberry, Alvaro Pardo, Guillermo Sapiro:
Simultaneous Object Classification and Segmentation With High-Order Multiple Shape Models. IEEE Trans. Image Process. 19(3): 625-635 (2010)
2000 – 2009
- 2009
- [c3]Federico Lecumberry, Alvaro Pardo, Guillermo Sapiro:
Multiple shape models for simultaneous object classification and segmentation. ICIP 2009: 3001-3004 - 2007
- [c2]Cecilia Aguerrebere, Germán Capdehourat, Mauricio Delbracio, Matías Mateu, Alicia Fernández, Federico Lecumberry:
Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. AutoID 2007: 74-79 - 2006
- [c1]Gabriele Facciolo, Federico Lecumberry, Andrés Almansa, Alvaro Pardo, Vicent Caselles, Bernard Rougé:
Constrained Anisotropic Diffusion and some Applications. BMVC 2006: 1049-1058
Coauthor Index
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