Vers une approche efficace d'extraction de motifs spatio-séquentiels. - Hugo Alatrista Salas; Sandra Bringay; Frédéric Flouvat; Nazha Selmaoui-Folcher; Maguelonne Teisseire (EGC, 2012)

The Pattern Next Door: Towards Spatio-sequential Pattern Discovery. - Hugo Alatrista Salas; Sandra Bringay; Frédéric Flouvat; Nazha Selmaoui-Folcher; Maguelonne Teisseire (PAKDD (2), 2012)

Recherche de séquences spatio-temporelles peu contredites dans des données hydrologiques. - Hugo Alatrista Salas; Jérôme Azé; Sandra Bringay; Flavie Cernesson; Frédéric Flouvat; Nazha Selmaoui-Folcher; Maguelonne Teisseire (Mesurer et évaluer la Qualité des Données et des Connaissances, 2012)

A Spatial-based KDD Process to Better Understand the Spatiotemporal Phenomena. - Hugo Alatrista Salas (CAiSE (Doctoral Consortium), 2013)

Motifs spatio-temporels. Enjeux et applications à l'environnement. - Nazha Selmaoui-Folcher; Frédéric Flouvat; Hugo Alatrista Salas; Sandra Bringay (Rev. d'Intelligence Artif., 2013)

A spatial-based KDD process to better manage the river water quality. - Hugo Alatrista Salas; Frédéric Flouvat; Sandra Bringay; Nazha Selmaoui-Folcher; Maguelonne Teisseire (Rev. Int. Géomatique, 2013)

Extraction de relations spatio-temporelles à partir des données environnementales et de la santé. (Spatio-temporal data mining from health and environment data). - Hugo Alatrista-Salas (2013)

Quality Metrics for Optimizing Parameters Tuning in Clustering Algorithms for Extraction of Points of Interest in Human Mobility. - Miguel Núñez del Prado Cortez; Hugo Alatrista Salas (SIMBig, 2014)

ANIMITEX project: Image Analysis based on Textual Information. - Hugo Alatrista Salas; Eric Kergosien; Mathieu Roche; Maguelonne Teisseire (SIMBig, 2014)

Sperm Cells Segmentation in Micrographic Images Through Lambertian Reflectance Model. - Rosario Medina Rodríguez; Luis Guzmán-Masías; Hugo Alatrista-Salas; César Beltrán Castañón (CAIP (2), 2015)

COPPER - Constraint OPtimized Prefixspan for Epidemiological Research. - Agustin Guevara-Cogorno; Claude Flamand; Hugo Alatrista-Salas (EUSPN/ICTH, 2015)

When Textual Information Becomes Spatial Information Compatible with Satellite Images. - Eric Kergosien; Hugo Alatrista-Salas; Mauro Gaio; Fabio Güttler; Mathieu Roche; Maguelonne Teisseire (KDIR, 2015)

Overview of SIMBig 2015: 2nd Annual International Symposium on Information Management and Big Data. - Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas (SIMBig, 2015)

A knowledge discovery process for spatiotemporal data: Application to river water quality monitoring. - Hugo Alatrista-Salas; Jérôme Azé; Sandra Bringay; Flavie Cernesson; Nazha Selmaoui-Folcher; Maguelonne Teisseire (Ecol. Informatics, 2015)

Administrative Regions Discovery Based on Human Mobility Patterns and Spatio-Temporal Clustering. - Miguel Núñez del Prado Cortez; Hugo Alatrista-Salas (MASS, 2016)

Spatio-sequential patterns mining: Beyond the boundaries. - Hugo Alatrista-Salas; Sandra Bringay; Frédéric Flouvat; Nazha Selmaoui-Folcher; Maguelonne Teisseire (Intell. Data Anal., 2016)

Measuring the gender discrimination: A machine learning approach. - Hugo Alatrista-Salas; Bruno Esposito; Miguel Núñez-del-Prado; Maria Valdivieso (LA-CCI, 2017)

Measuring the Resilience of the Transport Infrastructure in Big Cities. - Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Guillermo Rodríguez (LA-CCI, 2018)

Documents Retrieval for Qualitative Research: Gender Discrimination Analysis. - Hugo Alatrista-Salas; Pilar Hidalgo-León; Miguel Núñez-del-Prado (LA-CCI, 2018)

Extreme Climate Event Detection Through High Volume of Transactional Consumption Data. - Hugo Alatrista-Salas; Mauro León-Payano; Miguel Núñez-del-Prado (ADBIS (Short Papers and Workshops), 2019)

Clustering and topic modeling over tweets: A comparison over a health dataset. - Juan Antonio Lossio-Ventura; Juandiego Morzan; Hugo Alatrista-Salas; Tina Hernandez-Boussard; Jiang Bian 001 (BIBM, 2019)

Detecting Anomalies in Time-Varying Media Crime News Using Tensor Decomposition. - Hugo Alatrista-Salas; Pablo Lavado; Juandiego Morzan; Miguel Núñez-del-Prado; Gustavo Yamada (SIMBig, 2019)

Big Data Recommender System for Encouraging Purchases in New Places Taking into Account Demographics. - Hugo Alatrista-Salas; Isaias Hoyos; Ana Luna; Miguel Núñez-del-Prado (SIMBig, 2019)

Come with Me Now: New Potential Consumers Identification from Competitors. - Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Victoria Zevallos (SIMBig, 2019)

PS I Love You: Privacy Aware Sentiment Classification. - Hugo Alatrista Salas; Hugo Cordero; Miguel Núñez-del-Prado (Computación y Sistemas, 2019)

Public Riots in Twitter: Domain-Based Event Filtering During Civil Unrest. - Arturo Oncevay; Marco Sobrevilla; Hugo Alatrista-Salas; Andrés Melgar (ADBIS/TPDL/EDA Workshops, 2020)

DYVIC: DYnamic VIrus Control in Peru. - Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas; Kevin Barrena; Eleni Linos; Miguel Núñez-del-Prado; Alvaro Talavera (BIBM, 2020)

Efficiently Mining Gapped and Window Constraint Frequent Sequential Patterns. - Hugo Alatrista-Salas; Agustin Guevara-Cogorno; Yoshitomi Maehara; Miguel Núñez-del-Prado (MDAI, 2020)

Impact of natural disasters on consumer behavior: case of the 2017 El Nino phenomenon in Peru. - Hugo Alatrista-Salas; Vincent Gauthier; Miguel Núñez-del-Prado; Monique Becker (CoRR, 2020)

Tourism Mobility Modeling based on Credit and Debit Card Transactions. - Leibnitz-Pavel Rojas-Bustamante; Hugo Alatrista-Salas; Miguel Núñez-del-Prado; Joseph Chamorro Gómez (CLEI, 2021)

Are Sequential Patterns Shareable? Ensuring Individuals' Privacy. - Miguel Núñez del Prado Cortez; Julián Salas; Hugo Alatrista-Salas; Yoshitomi Maehara; David Megías 001 (MDAI, 2021)

Evaluation of clustering and topic modeling methods over health-related tweets and emails. - Juan Antonio Lossio-Ventura; Sergio Gonzales; Juandiego Morzan; Hugo Alatrista-Salas; Tina Hernandez-Boussard; Jiang Bian 001 (Artif. Intell. Medicine, 2021)

Toward a Comparison of Classical and New Privacy Mechanism. - Daniel Heredia-Ductram; Miguel Núñez-del-Prado; Hugo Alatrista-Salas (Entropy, 2021)

Geolocated Data Generation and Protection Using Generative Adversarial Networks. - Hugo Alatrista-Salas; Peter Montalvo-Garcia; Miguel Núñez-del-Prado; Julián Salas (MDAI, 2022)

Predicting Next Whereabouts Using Deep Learning. - Ana Paula Galarreta; Hugo Alatrista-Salas; Miguel Núñez-del-Prado (MDAI, 2023)

Mapping Malaria Vector Habitats in West Africa: Drone Imagery and Deep Learning Analysis for Targeted Vector Surveillance. - Fedra Trujillano; Gabriel Jimenez Garay; Hugo Alatrista-Salas; Isabel Byrne; Miguel Núñez-del-Prado; Kallista Chan; Edgar Manrique; Emilia Johnson; Nombre Apollinaire; Pierre Kouame Kouakou; Welbeck A. Oumbouke; Alfred B. Tiono; et al. (Remote. Sens., 2023)

Recommender systems using temporal restricted sequential patterns. - Ana Paula Galarreta; Hilda Samamé; Yoshitomi Maehara; Miguel Núñez-del-Prado; Hugo Alatrista-Salas (J. Ambient Intell. Humaniz. Comput., 2023)

Football Penalty Kick Prediction Model Based on Kicker's Pose Estimation. - Josue Angel Mauricio Salazar; Hugo Alatrista-Salas (ICMLT, 2024)

Algorithms For Anomaly Detection on Time Series: A Use Case on Banking Data. - Hugo Alatrista-Salas; Jeymi Fabiola Arias Hancco; Luis Espinoza-Villalobos (Informatica (Slovenia), 2025)

Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion:A Case Study on COVID-19 Mobility in Peru. - Chuan Li; Jiang You; Hassine Moungla; Vincent Gauthier; Miguel Núñez del Prado Cortez; Hugo Alatrista-Salas (CoRR, 2025)