Robust Alternating AdaBoost. - Héctor Allende-Cid; Rodrigo Salas 001; Héctor Allende; Ricardo Ñanculef (CIARP, 2007)

Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Alejandro Veloz; Rodrigo Salas 001; Stéren Chabert; Héctor Allende (CIARP, 2008)

Semi-supervised Robust Alternating AdaBoost. - Héctor Allende-Cid; Jorge Mendoza; Héctor Allende; Enrique Canessa (CIARP, 2009)

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. - Alejandro Veloz; Héctor Allende-Cid; Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (KES (1), 2009)

An Improved Fuzzy Rule-Based Automated Trading Agent. - Héctor Allende-Cid; Enrique Canessa; Ariel Quezada (SCCC, 2010)

Neuro-fuzzy-based Arrhythmia Classification Using Heart Rate Variability Features. - Felipe Ramírez; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (SCCC, 2010)

An Ensemble Method for Incremental Classification in Stationary and Non-stationary Environments. - Ricardo Ñanculef; Erick López; Héctor Allende; Héctor Allende-Cid (CIARP, 2011)

Robust Asymmetric Adaboost. - Pablo Ormeño; Felipe Ramírez; Carlos Valle; Héctor Allende-Cid; Héctor Allende (CIARP, 2012)

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende (ISMVL, 2012)

Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP (1), 2013)

Context-Aware Regression from Distributed Sources. - Héctor Allende-Cid; Claudio Moraga; Héctor Allende; Raúl Monge (IDC, 2013)

Wind Speed Forecast under a Distributed Learning Approach. - Héctor Allende-Cid; Héctor Allende; Raúl Monge; Claudio Moraga (SCCC, 2013)

A Machine Learning Method for High-Frequency Data Forecasting. - Erick López; Héctor Allende; Héctor Allende-Cid (CIARP, 2014)

Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models. - Héctor Allende-Cid; Claudio Moraga; Héctor Allende; Raúl Monge (IDC, 2014)

Robust Sieve bootstrap Prediction Intervals for contaminated Time Series. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (Int. J. Pattern Recognit. Artif. Intell., 2014)

The Effect of Innovation Assumptions on Asymmetric GARCH Models for Volatility Forecasting. - Diego Acuña; Héctor Allende-Cid; Héctor Allende (CIARP, 2015)

Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach. - Gustavo Ulloa; Héctor Allende-Cid; Héctor Allende (CIARP, 2015)

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. - Héctor Allende-Cid; Carlos Valle; Claudio Moraga; Héctor Allende; Rodrigo Salas 001 (IDC, 2015)

Discrete Neighborhood Representations and Modified Stacked Generalization Methods for Distributed Regression. - Héctor Allende-Cid; Héctor Allende; Raúl Monge; Claudio Moraga (J. Univers. Comput. Sci., 2015)

Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. - Héctor Allende-Cid; Diego Acuña; Héctor Allende (CIARP, 2016)

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Rodrigo Salas 001; Alejandro Veloz; Claudio Moraga; Héctor Allende (Int. J. Comput. Intell. Syst., 2016)

Soft Computing Applied to Distributed Regression with Context-Heterogeneity. - Héctor Allende-Cid; Raúl Monge; Héctor Allende (J. Multiple Valued Log. Soft Comput., 2016)

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2016)

Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse Lung Diseases. - Isadora Cardoso; Eliana S. Almeida; Héctor Allende-Cid; Alejandro C. Frery; Rangaraj M. Rangayyan; Paulo M. Azevedo-Marques; Heitor S. Ramos (CIARP, 2017)

A Distributed Shared Nearest Neighbors Clustering Algorithm. - Juan Zamora; Héctor Allende-Cid; Marcelo Mendoza (CIARP, 2017)

Intent Classification of Social Media Texts with Machine Learning for Customer Service Improvement. - Sebastián Pérez-Vera; Rodrigo Alfaro; Héctor Allende-Cid (HCI (13), 2017)

Automatic Tweets Classification Under an Intelligent Agents Framework. - Sebastián Rodríguez; Rodrigo Alfaro; Héctor Allende-Cid; Claudio Cubillos (HCI (13), 2017)

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. - Juan Pavez; Héctor Allende; Héctor Allende-Cid (ACL (1), 2018)

Circular Non-uniform Sampling Patch Inputs for CNN Applied to Multiple Sclerosis Lesion Segmentation. - Gustavo Ulloa; Rodrigo Naranjo; Héctor Allende-Cid; Stéren Chabert; Héctor Allende (CIARP, 2018)

Identifying Communities in Social Media with Deep Learning. - Pedro H. Barros; Isadora Cardoso-Pereira; Keila Barbosa; Alejandro C. Frery; Héctor Allende-Cid; Ivan C. Martins; Heitor S. Ramos (HCI (14), 2018)

Forecasting the Chilean Electoral Year: Using Twitter to Predict the Presidential Elections of 2017. - Sebastián Rodríguez; Héctor Allende-Cid; Wenceslao Palma; Rodrigo Alfaro; Cristian González; Claudio Elortegui; Pedro Santander (HCI (14), 2018)

PROMETHEUS: PROcedural METhodology for developing HEuristics of USability. - Cristhy Jiménez; Héctor Allende-Cid; Ismael Figueroa (CoRR, 2018)

Tackling the Neighboring Network Hit Problem in Cellular Data. - Andrés Leiva-Araos; Héctor Allende-Cid; Denis Khryashchev; Huy T. Vo (IEEE BigData, 2019)

Detection of Bots and Cyborgs in Twitter: A Study on the Chilean Presidential Election in 2017. - Samara Castillo; Héctor Allende-Cid; Wenceslao Palma; Rodrigo Alfaro; Heitor S. Ramos; Cristian González; Claudio Elortegui; Pedro Santander (HCI (13), 2019)

A Machine Learning Approach for the Automatic Classification of Schizophrenic Discourse. - Héctor Allende-Cid; Juan Zamora; Pedro Alfaro-Faccio; María Francisca Alonso-Sánchez (IEEE Access, 2019)

Distributed Clustering of Text Collections. - Juan Zamora; Héctor Allende-Cid; Marcelo Mendoza (IEEE Access, 2019)

Developing usability heuristics with PROMETHEUS: A case study in virtual learning environments. - Ismael Figueroa; Cristhy Jiménez; Héctor Allende-Cid; Paul Leger (Comput. Stand. Interfaces, 2019)

Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables. - Eliana Vivas; Héctor Allende-Cid; Rodrigo Salas 001; Lelys Bravo de Guenni (Entropy, 2019)

Analyzing #LasTesis Feminist Movement in Twitter Using Topic Models. - Sebastián Rodríguez; Héctor Allende-Cid; Cristian González; Rodrigo Alfaro; Claudio Elortegui; Wenceslao Palma; Pedro Santander (HCI (14), 2020)

Improving Multiple Sclerosis Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Héctor Allende (ICIAR (2), 2020)

Comparison of Recurrent Neural Networks for Wind Power Forecasting. - Erick López; Carlos Valle; Héctor Allende-Cid; Héctor Allende (MCPR, 2020)

Leveraging Phase Transition of Topics for Event Detection in Social Media. - Pedro H. Barros; Isadora Cardoso-Pereira; Héctor Allende-Cid; Osvaldo Anibal Rosso; Heitor S. Ramos (IEEE Access, 2020)

Application of Machine Learning and Word Embeddings in the Classification of Cancer Diagnosis Using Patient Anamnesis. - Andrés Alejandro Ramos Magna; Héctor Allende-Cid; Carla Taramasco; Carlos Becerra; Rosa L. Figueroa (IEEE Access, 2020)

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score. - Eliana Vivas; Héctor Allende-Cid; Rodrigo Salas 001 (Entropy, 2020)

Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations. - Sebastián Rodríguez; Héctor Allende-Cid; Héctor Allende (CIARP, 2021)

Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images. - Gabriel Villavicencio Arancibia; Osvaldo Piña Bustamante; Gabriel Hermosilla Vigneau; Héctor Allende-Cid; Gonzalo Suazo Fuentelaba; Victor Araya Nieto (IEEE Access, 2021)

Thermal Face Generation Using StyleGAN. - Gabriel Hermosilla; Diego-Ignacio Henríquez Tapia; Héctor Allende-Cid; Gonzalo Farias Castro; Esteban Vera (IEEE Access, 2021)

Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation. - Gustavo Ulloa; Alejandro Veloz; Héctor Allende-Cid; Raúl Monge; Héctor Allende (MCPR, 2022)

A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. - Marvin Querales; Rodrigo Salas 001; Yerel Morales; Héctor Allende-Cid; Harvey Rosas (Appl. Soft Comput., 2022)

Predicting student performance in computing courses based on programming behavior. - Ignacio Araya 001; Victor Beas; Katrina Stamulis; Héctor Allende-Cid (Comput. Appl. Eng. Educ., 2022)

Predicting Brazilian Court Decisions. - André Lage-Freitas; Héctor Allende-Cid; Orivaldo Santana; Lívia de Oliveira-Lage (PeerJ Comput. Sci., 2022)

A survey and classification of face alignment methods based on face models. - Jagmohan Meher; Héctor Allende-Cid; Torbjörn E. M. Nordling (CoRR, 2023)

Edges-enhanced Convolutional Neural Network for Multiple Sclerosis Lesions Segmentation. - Gustavo Ulloa-Poblete; Héctor Allende-Cid; Alejandro Veloz; Héctor Allende (Computación y Sistemas (CyS), 2023)

Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources. - Gonzalo Tapia; Héctor Allende-Cid; Stéren Chabert; Domingo Mery; Rodrigo Salas 001 (IEEE Access, 2024)

Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews. - Assaf Landschaft; Dario Antweiler; Sina Mackay; Sabine Kugler; Stefan Rüping 001; Stefan Wrobel; Timm Höres; Héctor Allende-Cid (Int. J. Medical Informatics, 2024)

PM3-KIE: A Probabilistic Multi-Task Meta-Model for Document Key Information Extraction. - Birgit Kirsch; Héctor Allende-Cid; Stefan Rüping 001 (ACL (Findings), 2025)

Robustness Evaluation of the German Extractive Question Answering Task. - Shalaka Satheesh; Katharina Beckh; Katrin Klug; Héctor Allende-Cid; Sebastian Houben; Teena Hassan (COLING, 2025)

Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models. - Rebekka Görge; Michael Mock; Héctor Allende-Cid (FAccT, 2025)

From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. - Kamyar Arzideh; Henning Schäfer; Héctor Allende-Cid; Giulia Baldini 001; Thomas Hilser; Ahmad Idrissi-Yaghir; Katharina Laue; Nilesh Chakraborty; Niclas Doll; Dario Antweiler; Katrin Klug; Niklas Beck; et al. (Comput. Biol. Medicine, 2025)

Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting. - Eliana Vivas; Héctor Allende-Cid; Lelys Bravo de Guenni; Aurelio Fernández Bariviera; Rodrigo Salas 001 (Int. J. Intell. Syst., 2025)

A systematic review of long document summarization methods: Evaluation metrics and approaches. - Bady Gana; Héctor Allende-Cid; Stefan Rüping 001; Marcelo Becerra-Rozas; Juan Zamora (Neurocomputing, 2025)

GG-BBQ: German Gender Bias Benchmark for Question Answering. - Shalaka Satheesh; Katrin Klug; Katharina Beckh; Héctor Allende-Cid; Sebastian Houben; Teena Hassan (CoRR, 2025)