Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit J Camps, A Sama, M Martín, D Rodriguez-Martin, C Pérez-López, ... Knowledge-Based Systems 139, 119-131, 2018 | 209 | 2018 |
Learning generalized policies from planning examples using concept languages M Martin, H Geffner Applied Intelligence 20, 9-19, 2004 | 192 | 2004 |
On-line support vector machine regression M Martin European Conference on Machine Learning, 282-294, 2002 | 159 | 2002 |
Aprendizaje automático A Moreno, E Armengol, J Béjar Alonso, LA Belanche Muñoz, ... Edicions UPC, 1994 | 72 | 1994 |
Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers J Camps, A Samà, M Martín, D Rodríguez-Martín, C Pérez-López, ... Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 39 | 2017 |
Adaptive optics control with multi-agent model-free reinforcement learning B Pou, F Ferreira, E Quinones, D Gratadour, M Martin Optics express 30 (2), 2991-3015, 2022 | 34 | 2022 |
Esquemas algorítmicos fundamentales: secuencias e iteración P Scholl, JP Peyrin, RS i Solé, MM Muñoz Masson, 1991 | 25 | 1991 |
Development of an intelligent data analysis system for knowledge management in environmental data bases M Sánchez-Marrè, K Gibert, I Rodríguez-Roda, E Bueno, L Mozo, ... | 20 | 2002 |
On-line suport vector machines for function approximation M Martin Software Department, Universitat Politecnica de Catalunya, 1-11, 2002 | 19 | 2002 |
Supraspinal modulation of neuronal synchronization by nociceptive stimulation induces an enduring reorganization of dorsal horn neuronal connectivity E Contreras‐Hernández, D Chávez, E Hernández, E Velázquez, P Reyes, ... The Journal of Physiology 596 (9), 1747-1776, 2018 | 17 | 2018 |
A portable method for acquiring information extraction patterns without annotated corpora N Catala, N Castell, M Martín Natural Language Engineering 9 (2), 151-179, 2003 | 17 | 2003 |
Contributed Papers-On-Line Support Vector Machine Regression M Martín Lecture Notes in Computer Science 2430, 282-294, 2002 | 15 | 2002 |
Knowledge acquisition combining analytical and empirical techniques M Martin, R Sangüesa, U Cortes Machine Learning Proceedings 1991, 657-661, 1991 | 15 | 1991 |
A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in … M Martin, E Contreras-Hernández, J Béjar, G Esposito, D Chávez, ... Frontiers in neuroinformatics 9, 21, 2015 | 14 | 2015 |
Essence: A portable methodology for acquiring information extraction patterns N Catala, N Castell, M Martin ECAI, 411-415, 2000 | 14 | 2000 |
Model-free reinforcement learning with a non-linear reconstructor for closed-loop adaptive optics control with a pyramid wavefront sensor B Pou, J Smith, E Quinones, M Martin, D Gratadour Adaptive Optics Systems VIII 12185, 945-958, 2022 | 10 | 2022 |
Reinforcement learning for embedded agents facing complex tasks M Martin PhD thesis, Universitat Politecnica de Catalunya, Barcelona, Spain, 1998 | 10 | 1998 |
Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat M Martin, J Béjar, G Esposito, D Chávez, E Contreras-Hernández, ... Frontiers in computational neuroscience 11, 32, 2017 | 9 | 2017 |
An adaptable approach to learn realistic legged locomotion without examples D Ordonez-Apraez, A Agudo, F Moreno-Noguer, M Martin 2022 international conference on Robotics and automation (ICRA), 4671-4678, 2022 | 8 | 2022 |
Dynamic robotic tracking of underwater targets using reinforcement learning I Masmitja, M Martin, T O’Reilly, B Kieft, N Palomeras, J Navarro, K Katija Science robotics 8 (80), eade7811, 2023 | 7 | 2023 |