Héctor Gabriel Allende Cid

Líneas de investigación

• Data Science
• Machine Learning
• Natural Language Processing

Proyectos adjudicados

• EXTRACTING VALUABLE INFORMATION FROM (2017) Fuente: CONICYT | Rol: DIRECTOR/A
• DEEP RECURRENT NEURAL NETWORKS FOR MULTI-SCALE TIME SERIES FORECASTING (2016) Fuente: CONICYT | Rol:
• ADAPTIVE DISTRIBUTED MACHINE LEARNING=> LEARNING FROM LARGE HETEROGENEOUS DATA SOURCES UNDER NON-STATIONARY ENVIRONMENTS (2015) Fuente: FONDECYT (11150248) | Rol: INV. RESPONSABLE
• ENSEMBLE OF MACHINE LEARNING-BASED LOCAL ESTIMATORS FOR HIGH FREQUENCY TIME SERIES FORECASTING (2011) Fuente: FONDECYT (1110854) | Rol: TESISTA
• ENSEMBLE LEARNING STRATEGIES FOR HIGH-DIMENSIONAL AND NON-STATIONARY DATA (2007) Fuente: FONDECYT (1070220) | Rol: TESISTA
• DESARROLLO DE MODELOS DE ARQUITECTURAS FLEXIBLES DE REDES NEURONALES ARTIFICIALES APRENDEN BAJO AMBIENTES CAMBIANTES EN EL TIEMPO (2006) Fuente: FONDECYT (1061201) | Rol: TESISTA

Tus publicaciones

• MULTILABEL TEXT CLASSIFICATION WITH LABEL-DEPENDENT REPRESENTATION Autores: Rodrigo Alfaro;Héctor Allende-Cid;Héctor Allende; Año: 2023 Link: https://doi.org/10.3390/app13063594
• GENERATION OF SYNTHETIC DATA FOR THE ANALYSIS OF THE PHYSICAL STABILITY OF TAILING DAMS THROUGH ARTIFICIAL INTELLIGENCE Autores: Fernando Pacheco;Gabriel Hermosilla;Osvaldo Piña Bustamante;Gabriel Villavicencio Arancibia;Héctor Allende-Cid;Juan Palma;Pamela Valenzuela;JOSE GARCIA;Alex Carpanetti;Vinicius Minatogawa;Gonzalo Suazo;Andrés León;Ricardo López;Gullibert Novoa; Año: 2022 Link: https://doi.org/10.3390/math10234396
• A HIERARCHICAL FUZZY-BASED CORRECTION ALGORITHM FOR THE NEIGHBORING NETWORK HIT PROBLEM Autores: Andres Leiva-Araos;Héctor Allende-Cid; Año: 2021 Link: https://doi.org/10.3390/math9040315
• A SYSTEMATIC REVIEW OF STATISTICAL AND MACHINE LEARNING METHODS FOR ELECTRICAL POWER FORECASTING WITH REPORTED MAPE SCORE Autores: Eliana;Héctor Allende-Cid;Rodrigo Salas Fuentes; Año: 2020 Link: https://doi.org/10.3390/e22121412
• A STACKING NEURO-FUZZY FRAMEWORK TO FORECAST RUNOFF FROM DISTRIBUTED METEOROLOGICAL STATIONS Autores: Querales; Marvin; Salas; Rodrigo; Morales; Yerel; Allende-Cid; Héctor; Rosas; Harvey Año: 2022
• PREDICTING BRAZILIAN COURT DECISIONS Autores: Lage-Freitas; Andre; Allende-Cid; Héctor; Santana; Orivaldo; Oliveira-Lage; Livia Año: 2022
• PREDICTING STUDENT PERFORMANCE IN COMPUTING COURSES BASED ON PROGRAMMING BEHAVIOR Autores: Araya; Ignacio; Beas; Victor; Stamulis; Katrina; Allende-Cid; Héctor Año: 2022
• A SELF-IDENTIFICATION NEURO-FUZZY INFERENCE FRAMEWORK FOR MODELING RAINFALL-RUNOFF IN A CHILEAN WATERSHED Autores: Morales; Yerel; Querales; Marvin; Rosas; Harvey; Allende-Cid; Héctor; Salas; Rodrigo Año: 2021
• ESTIMATION OF MOISTURE CONTENT IN THICKENED TAILINGS DAMS: MACHINE LEARNING TECHNIQUES APPLIED TO REMOTE SENSING IMAGES Autores: Villavicencio Arancibia; Gabriel; Pina Bustamante; Osvaldo; Hermosilla Vigneau; Gabriel; Allende-Cid; Héctor; Suazo Fuentealba; Gonzalo; Araya Nieto; Victor Año: 2021
• THERMAL FACE GENERATION USING STYLEGAN Autores: Hermosilla; Gabriel; Henriquez Tapia; Diego-Ignacio; Allende-Cid; Héctor; Farias Castro; Gonzalo; Vera; Esteban Año: 2021
• ANALYZING SOCIAL MEDIA ANALYZING THE SOCIAL? A METHODOLOGICAL DISCUSSION ABOUT THE DEMOSCOPIC AND PREDICTIVE POTENTIAL OF SOCIAL MEDIA Autores: Santander; Pedro; Alfaro; Rodrigo; Allende-Cid; Héctor; Elórtegui; Claudio; González; Cristian Año: 2020 Link: https://doi.org/10.1007/s11135-020-00965-z
• APPLICATION OF MACHINE LEARNING AND WORD EMBEDDINGS IN THE CLASSIFICATION OF CANCER DIAGNOSIS USING PATIENT ANAMNESIS Autores: Ramos; Andrés; Allende-Cid; Héctor; Taramasco; Carla; Becerra; Carlos; Figueroa ; Rosa L. Año: 2020
• LEVERAGING PHASE TRANSITION OF TOPICS FOR EVENT DETECTION IN SOCIAL MEDIA Autores: Barros; Pedro H.; Cardoso-Pereira; Isadora; Allende-Cid; Hector; Rosso; Osvaldo A.; Ramos; Heitor S. Año: 2020 Link: https://doi.org/10.1109/ACCESS.2020.2986400