Periodic Motions, Mapping Ordered Sequences, and Training of Dynamic Neural Networks to Generate Continuous and Discontinuous Trajectories. - Pablo Zegers; Malur K. Sundareshan (IJCNN (3), 2000)

Determining The Degree of Generalization Using An Incremental Learning Algorithm. - Pablo Zegers; Malur K. Sundareshan (HIS, 2002)

Trajectory generation and modulation using dynamic neural networks. - Pablo Zegers; Malur K. Sundareshan (IEEE Trans. Neural Networks, 2003)

Systematic testing of generalization level during training in regression-type learning scenarios. - Pablo Zegers; Malur K. Sundareshan (IJCNN, 2004)

Semi-Autonomous Neural Networks Differential Equation Solver. - José Delpiano; Pablo Zegers (IJCNN, 2006)

Consistent Density Function Estimation with Multilayer Perceptrons. - Pablo Zegers; Jose G. Johnson (IJCNN, 2006)

Exponential Transitions: Telltale Sign of Consistency in Learning Systems. - Pablo Zegers; Jose G. Johnson (IJCNN, 2006)

Boosting Learning Machines with Function Compositions to Avoid Local Minima in Regression Problems. - Pablo Zegers; Gonzalo Correa (IJCNN, 2007)

Bounded-time system identification under neuro-sliding training. - Rodolfo García-Rodríguez; Pablo Zegers; Vicente Parra-Vega (IJCNN, 2009)

Period detection in light curves from astronomical objects using correntropy. - Pablo A. Estévez; Pablo Huijse; Pablo Zegers; José C. Príncipe; Pavlos Protopapas (IJCNN, 2010)

Period Estimation in Astronomical Time Series Using Slotted Correntropy. - Pablo Huijse; Pablo A. Estévez; Pablo Zegers; José Carlos Príncipe; Pavlos Protopapas (IEEE Signal Process. Lett., 2011)

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. - Pablo Huijse; Pablo A. Estévez; Pavlos Protopapas; Pablo Zegers; José Carlos Príncipe (IEEE Trans. Signal Process., 2012)

Relative Entropy Derivative Bounds. - Pablo Zegers; Alexis Fuentes; Carlos Alarcón (Entropy, 2013)

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases. - Pablo Huijse; Pablo A. Estévez; Pavlos Protopapas; José C. Príncipe; Pablo Zegers (IEEE Comput. Intell. Mag., 2014)

A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set. - Pavlos Protopapas; Pablo Huijse; Pablo A. Estévez; Pablo Zegers; José C. Príncipe (CoRR, 2014)

Fisher Information Properties. - Pablo Zegers (Entropy, 2015)

People Counting in Videos by Fusing Temporal Cues from Spatial Context-Aware Convolutional Neural Networks. - Panos Sourtzinos; Sergio A. Velastin; Miguel Jara; Pablo Zegers; Dimitrios Makris 001 (ECCV Workshops (2), 2016)

Information Theoretical Measures for Achieving Robust Learning Machines. - Pablo Zegers; B. Roy Frieden; Carlos Alarcón; Alexis Fuentes (Entropy, 2016)

Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks. - Huy Hieu Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (ICIP, 2018)

Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks. - Huy Hieu Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (CoRR, 2018)

Exploiting deep residual networks for human action recognition from skeletal data. - Huyhieu Pham; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (CoRR, 2018)

Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks. - Huy Hieu Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (CoRR, 2018)

Exploiting deep residual networks for human action recognition from skeletal data. - Huy Hieu Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (Comput. Vis. Image Underst., 2018)

Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks. - Eder Santana; Matthew S. Emigh; Pablo Zegers; José C. Príncipe (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data. - Huy Hieu Pham 001; Houssam Salmane; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (ICIAR (1), 2019)

Learning to recognise 3D human action from a new skeleton-based representation using deep convolutional neural networks. - Huy Hieu Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (IET Comput. Vis., 2019)

Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks. - Huy Hieu Pham 001; Houssam Salmane; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (Sensors, 2019)

A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera. - Huy Hieu Pham 001; Houssam Salmane; Louahdi Khoudour; Alain Crouzil; Sergio A. Velastin; Pablo Zegers (Sensors, 2020)

Video-based Human Action Recognition using Deep Learning: A Review. - Hieu H. Pham 001; Louahdi Khoudour; Alain Crouzil; Pablo Zegers; Sergio A. Velastin (CoRR, 2022)