Hierarchical mixture of experts and Max-Min propagation neural networks. - Pablo A. Estévez; Ryohei Nakano (ICNN, 1995)

Classification of sleep-waking states using modular neural networks. - Pablo A. Estévez; Marcelo E. Fernández; Claudio M. Held; Carlos A. Holzmann; Claudio A. Pérez; Juan Pablo Pérez (SMC, 2000)

Dynamical Properties of Min-Max Networks. - Eric Goles Ch.; Martín Matamala; Pablo A. Estévez (Int. J. Neural Syst., 2000)

Designing biologically inspired receptive fields for neural pattern recognition technology. - Claudio A. Perez; C. A. Salinas; Pablo A. Estévez (SMC, 2001)

A scalable parallel algorithm for training a hierarchical mixture of neural experts. - Pablo A. Estévez; Hélène Paugam-Moisy; Didier Puzenat; Manuel Ugarte (Parallel Comput., 2002)

Genetic design of biologically inspired receptive fields for neural pattern recognition. - Claudio A. Perez; C. A. Salinas; Pablo A. Estévez; P. M. Valenzuela (IEEE Trans. Syst. Man Cybern. Part B, 2003)

A new visualization scheme for self-organizing neural networks. - Cristián J. Figueroa; Pablo A. Estévez (IJCNN, 2004)

AMIFS: adaptive feature selection by using mutual information. - Michel Tesmer; Pablo A. Estévez (IJCNN, 2004)

Intelligent Web Site: Understanding the Visitor Behavior. - Juan D. Velásquez 001; Pablo A. Estévez; Hiroshi Yasuda; Terumasa Aoki; Eduardo S. Vera (KES, 2004)

Real-time iris detection on faces with coronal axis rotation. - Claudio A. Perez; Vanel A. Lazcano; Pablo A. Estévez; Claudio M. Held (SMC (7), 2004)

On the Computational Power of Max-Min Propagation Neural Networks. - Pablo A. Estévez; Yoichi Okabe (Neural Process. Lett., 2004)

Color image segmentation using fuzzy min-max neural networks. - Pablo A. Estévez; Rodrigo J. Flores; Claudio A. Perez (IJCNN, 2005)

Cross-entropy approach to data visualization based on the neural gas network. - Pablo A. Estévez; Cristián J. Figueroa; Kazumi Saito (IJCNN, 2005)

Nonlinear mappings based on particle swarm optimization. - Christian J. Figueroa; Pablo A. Estévez; Rodrigo Hernández (IJCNN, 2005)

Cross-entropy embedding of high-dimensional data using the neural gas model. - Pablo A. Estévez; Cristián J. Figueroa; Kazumi Saito (Neural Networks, 2005)

Particle Swarm Optimization-based Fuzzy Predictive Control Strategy. - Juan Solis; Doris Sáez; Pablo A. Estévez (FUZZ-IEEE, 2006)

Nonlinear Projection Using Geodesic Distances and the Neural Gas Network. - Pablo A. Estévez; Andrés M. Chong; Claudio M. Held; Claudio A. Perez (ICANN (1), 2006)

Geodesic Nonlinear Mapping Using the Neural Gas Network. - Pablo A. Estévez; Andrés M. Chong (IJCNN, 2006)

Subscription fraud prevention in telecommunications using fuzzy rules and neural networks. - Pablo A. Estévez; Claudio M. Held; Claudio A. Perez (Expert Syst. Appl., 2006)

Online data visualization using the neural gas network. - Pablo A. Estévez; Cristián J. Figueroa (Neural Networks, 2006)

Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification. - Claudio M. Held; Jaime E. Heiss; Pablo A. Estévez; Claudio A. Perez; Marcelo Garrido; Cecilia Algarin; Patricio Peirano (IEEE Trans. Biomed. Eng., 2006)

Genetic programming-based clustering using an information theoretic fitness measure. - Neven Boric; Pablo A. Estévez (IEEE Congress on Evolutionary Computation, 2007)

Selecting the Most Influential Nodes in Social Networks. - Pablo A. Estévez; Pablo A. Vera; Kazumi Saito (IJCNN, 2007)

Window Merge Neural Gas for Processing Pattern Sequences. - Pablo A. Estévez; Ricardo Zilleruelo-Ramos; Jacek M. Zurada (IJCNN, 2007)

Family Corner - Chile Chapter. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2007)

Real-Time Iris Detection on Coronal-Axis-Rotated Faces. - Claudio A. Perez; Vanel A. Lazcano; Pablo A. Estévez (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation. - Pablo A. Estévez (Genet. Program. Evolvable Mach., 2008)

A robust nonlinear projection method using the neural gas network. - Pablo A. Estévez; Andrés M. Chong (IJCNN, 2009)

Gamma SOM for Temporal Sequence Processing. - Pablo A. Estévez; Rodrigo Hernández (WSOM, 2009)

IEEE Latin-American Summer School on Computational Intelligence [Society Briefs]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2009)

Automated visual inspection system for wood defect classification using computational intelligence techniques. - Gonzalo A. Ruz; Pablo A. Estévez; Pablo A. Ramírez (Int. J. Syst. Sci., 2009)

Normalized Mutual Information Feature Selection. - Pablo A. Estévez; Michel Tesmer; Claudio A. Perez; Jacek M. Zurada (IEEE Trans. Neural Networks, 2009)

Linear Projection Method Based on Information Theoretic Learning. - Pablo A. Vera; Pablo A. Estévez; José Carlos Príncipe (ICANN (3), 2010)

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

Face and iris localization using templates designed by particle swarm optimization. - Claudio A. Perez; Carlos M. Aravena; Juan I. Vallejos; Pablo A. Estévez; Claudio M. Held (Pattern Recognit. Lett., 2010)

Automated Sleep-Spindle Detection in Healthy Children Polysomnograms. - Leonardo Causa; Claudio M. Held; Javier Causa; Pablo A. Estévez; Claudio A. Perez; Rodrigo Chamorro; Marcelo Garrido; Cecilia Algarin; Patricio Peirano (IEEE Trans. Biomed. Eng., 2010)

Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy. - Bibhu Prasad Mishra; José C. Príncipe; Pablo A. Estévez; Pavlos Protopapas (MLSP, 2011)

Gamma-Filter Self-Organizing Neural Networks for Time Series Analysis. - Pablo A. Estévez; Rodrigo Hernández (WSOM, 2011)

IEEE CIS VP-Members Activities Vision Statement [Society Briefs]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2011)

IEEE CIS Webinars Activities and Future Plan [Society Briefs]. - Moufid Harb; Bruno N. Di Stefano; Pablo A. Estévez (IEEE Comput. Intell. Mag., 2011)

Registration of renal SPECT and 2.5D US images. - Francisco J. Galdames; Claudio A. Perez; Pablo A. Estévez; Claudio M. Held; Fabrice Jaillet; Gabriel Lobo; Gilda Donoso; Claudia Coll (Comput. Medical Imaging Graph., 2011)

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)

Automated detection of Rapid Eye Movements in children. - Claudio M. Held; Javier Causa; Leonardo Causa; Pablo A. Estévez; Claudio A. Perez; Marcelo Garrido; Rodrigo Chamorro; Cecilia Algarin; Patricio Peirano (EMBC, 2012)

Nonlinear Time Series Analysis by Using Gamma Growing Neural Gas. - Pablo A. Estévez; Jorge R. Vergara (WSOM, 2012)

Online Visualization of Prototypes and Receptive Fields Produced by LVQ Algorithms. - David Nova; Pablo A. Estévez (WSOM, 2012)

Student Member Activities: Learning, Networking, Volunteering [Society Briefs]. - Demetrios G. Eliades; Pablo A. Estévez (IEEE Comput. Intell. Mag., 2012)

IEEE CIS Social Media: Have You Joined Our Online Community? [Society Briefs]. - Albert Y. S. Lam; Michael J. Watts; Dongrui Wu; Pablo A. Estévez (IEEE Comput. Intell. Mag., 2012)

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)

IEEE CIS GOLD Report: Inaugural Elevator Pitch Competition and Other GOLD Activities [Society Briefs]. - Heike Sichtig; Stephen G. Matthews 001; Demetrios G. Eliades; Muhammad Yasser; Pablo A. Estévez (IEEE Comput. Intell. Mag., 2013)

Single trial P300 detection in children using expert knowledge and SOM. - Cristian Morales; Claudio M. Held; Pablo A. Estévez; Claudio A. Perez; Sussanne Reyes; Patricio Peirano; Cecilia Algarin (EMBC, 2014)

A balanced sleep/wakefulness classification method based on actigraphic data in adolescents. - Gabriel Orellana; Claudio M. Held; Pablo A. Estévez; Claudio A. Perez; Sussanne Reyes; Cecilia Algarin; Patricio Peirano (EMBC, 2014)

K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models. - David Nova; Pablo A. Estévez; Pablo Huijse (WSOM, 2014)

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)

A review of learning vector quantization classifiers. - David Nova; Pablo A. Estévez (Neural Comput. Appl., 2014)

A review of feature selection methods based on mutual information. - Jorge R. Vergara; Pablo A. Estévez (Neural Comput. Appl., 2014)

Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF. - Pablo Huijse; Pablo A. Estévez; Francisco Förster; Emanuel Berrocal (INNS Conference on Big Data, 2015)

Special Issue on Advances in Self-organizing Maps. - Pablo A. Estévez; José C. Príncipe (Neurocomputing, 2015)

Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells. - Marcos E. Orchard; Matias S. Lacalle; Benjamín E. Olivares; Jorge F. Silva; Rodrigo Palma-Behnke; Pablo A. Estévez; Bernardo Severino; Williams Calderon-Munoz; Marcelo Cortes-Carmona (IEEE Trans. Reliab., 2015)

Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy. - Sebastian Ulloa; Pablo A. Estévez; Pablo Huijse; Claudio M. Held; Claudio A. Perez; Rodrigo Chamorro; Marcelo Garrido; Cecilia Algarin; Patricio Peirano (EMBC, 2016)

Supernovae detection by using convolutional neural networks. - Guillermo Cabrera-Vives; Ignacio Reyes; Francisco Förster; Pablo A. Estévez; Juan-Carlos Maureira (IJCNN, 2016)

Modeling quasi-periodic lightcurves using neuropercolation. - Catalina Elzo; Pablo A. Estévez; Robert Kozma 001 (IJCNN, 2016)

Correntropy based filtering for supernova detection. - Pablo Huentelemu; Pablo A. Estévez; Francisco Förster (IJCNN, 2016)

Big Data Era Challenges and Opportunities in Astronomy - How SOM/LVQ and Related Learning Methods Can Contribute? - Pablo A. Estévez (WSOM, 2016)

A Study on GMLVQ Convex and Non-convex Regularization. - David Nova; Pablo A. Estévez (WSOM, 2016)

Segment Growing Neural Gas for Nonlinear Time Series Analysis. - Jorge R. Vergara; Pablo A. Estévez; Álvaro Serrano (WSOM, 2016)

CIS in the Next Decade [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2016)

Brain Dynamics, Cognition, and Developmental Systems President's Message. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2016)

Newly Elected CIS Administrative Committee Members (2016-2018) Society Briefs. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2016)

Frontiers of Knowledge in Computational Intelligence [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2016)

Celebration of Light [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2016)

Spectral regularization in generalized matrix learning vector quantization. - David Nova; Pablo A. Estévez (WSOM, 2017)

A strategy for time series prediction using Segment Growing Neural Gas. - Jorge R. Vergara; Pablo A. Estévez (WSOM, 2017)

Magic Realism and Smart Worlds [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2017)

Trusting Machines and Gender Diversity [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2017)

Newly Elected CIS Administrative Committee Members (2017-2019) [Society Briefs]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2017)

Ethics and the Social Impact of Computational Intelligence [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2017)

CIS Publications in the Spotlight [President's Message]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2017)

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection. - Guillermo Cabrera-Vives; Ignacio Reyes; Francisco Förster; Pablo A. Estévez; Juan-Carlos Maureira (CoRR, 2017)

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era. - Pablo Huijse; Pablo A. Estévez; Francisco Förster; Scott F. Daniel; Andrew J. Connolly; Pavlos Protopapas; Rodrigo Carrasco; José C. Príncipe (CoRR, 2017)

Ant Colony Optimization Algorithm for the Multiyear Transmission Network Expansion Planning. - Ricardo Álvarez; Claudia Rahmann; Rodrigo Palma-Behnke; Pablo A. Estévez; Felipe Valencia (CEC, 2018)

Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders. - Pablo Huijse; Nicolas Astorga; Pablo A. Estévez; Giuliano Pignata (ESANN, 2018)

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding. - Nicolas Astorga; Pablo Huijse; Pablo A. Estévez; Francisco Förster (IJCNN, 2018)

Trademark Image Retrieval Using a Combination of Deep Convolutional Neural Networks. - Claudio A. Perez; Pablo A. Estévez; Francisco J. Galdames; Daniel A. Schulz; Juan P. Perez; Diego Bastias; Daniel R. Vilar (IJCNN, 2018)

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection. - Esteban Reyes; Pablo A. Estévez; Ignacio Reyes; Guillermo Cabrera-Vives; Pablo Huijse; Rodrigo Carrasco; Francisco Förster (IJCNN, 2018)

Conference Report on 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) [Conference Reports]. - Pablo A. Estévez; Marley M. B. R. Vellasco (IEEE Comput. Intell. Mag., 2018)

IEEE CIS VP for Finances Vision Statement [Society Briefs]. - Pablo A. Estévez (IEEE Comput. Intell. Mag., 2019)

MPCC: Matching Priors and Conditionals for Clustering. - Nicolás Astorga; Pablo Huijse; Pavlos Protopapas; Pablo A. Estévez (ECCV (23), 2020)

Transformation Based Deep Anomaly Detection in Astronomical Images. - Esteban Reyes; Pablo A. Estévez (IJCNN, 2020)

On the Information Plane of Autoencoders. - Nicolás I. Tapia; Pablo A. Estévez (IJCNN, 2020)

RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection. - Nicolás I. Tapia; Pablo A. Estévez (IJCNN, 2020)

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier. - Rodrigo Carrasco-Davis; Esteban Reyes; Camilo Valenzuela; Francisco Förster; Pablo A. Estévez; Giuliano Pignata; Franz E. Bauer; Ignacio Reyes; Paula Sánchez-Sáez; Guillermo Cabrera-Vives; Susana Eyheramendy; Márcio Catelán; et al. (CoRR, 2020)

Subset Feature Selection with Structural Variables. - Juan A. Urrutia; Pablo A. Estévez; Jorge R. Vergara (LA-CCI, 2021)

The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves. - Cristobal Donoso-Oliva; Guillermo Cabrera-Vives; Pavlos Protopapas; Rodrigo Carrasco-Davis; Pablo A. Estévez (CoRR, 2021)

Outlier Detection based on Transformations for Astronomical Time Series. - Mauricio Romero; Pablo A. Estévez (IJCNN, 2022)

Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves. - Óscar Pimentel; Pablo A. Estévez; Francisco Förster (CoRR, 2022)

Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks. - Germán García-Jara; Pavlos Protopapas; Pablo A. Estévez (CoRR, 2022)

Special issue on Latin-American computational intelligence. - Pablo A. Estévez; Daniel Sbarbaro; Millaray Curilem (Neural Comput. Appl., 2023)

Temporal Stamp Classifier: Classifying Short Sequences of Astronomical Alerts. - Daniel Neira O.; Pablo A. Estévez; Francisco Förster (IJCNN, 2024)

USSD: Unsupervised Sleep Spindle Detector. - Edgardo Ramirez; Pablo A. Estévez; Martin David Adams; Claudio A. Perez; Marcelo Garrido; Patricio Peirano (IEEE Access, 2025)

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer. - Daniel Moreno-Cartagena; Guillermo Cabrera-Vives; Alejandra Muñoz Arancibia; Pavlos Protopapas; Francisco Förster; Márcio Catelán; Amelia Bayo; Pablo A. Estévez; Paula Sánchez-Sáez; Franz E. Bauer; M. Pavez-Herrera; Lorena Hernández-García; et al. (CoRR, 2025)