Boosting SpLSA for Text Classification. - Julio Hurtado; Marcelo Mendoza; Ricardo Ñanculef (CIARP, 2016)

Design and Implementation of an Energy Monitoring System for Buildings Based on Internet of Things Architecture. - Edgar Villa; Julio Hurtado; José Luis Villa (WEA, 2017)

Claim Behavior over Time in Twitter. - Fernanda Weiss; Ignacio Espinoza; Julio Hurtado; Marcelo Mendoza (HCI (13), 2019)

Optimizing Reusable Knowledge for Continual Learning via Metalearning. - Julio Hurtado; Alain Raymond-Saez; Alvaro Soto (NeurIPS, 2021)

Overcoming Catastrophic Forgetting Using Sparse Coding and Meta Learning. - Julio Hurtado; Hans Lobel; Alvaro Soto (IEEE Access, 2021)

Sequoia: A Software Framework to Unify Continual Learning Research. - Fabrice Normandin; Florian Golemo; Oleksiy Ostapenko; Pau Rodríguez; Matthew D. Riemer; Julio Hurtado; Khimya Khetarpal; Dominic Zhao; Ryan Lindeborg; Timothée Lesort; Laurent Charlin; Irina Rish; et al. (CoRR, 2021)

Entropy-based Stability-Plasticity for Lifelong Learning. - Vladimir Araujo; Julio Hurtado; Alvaro Soto; Marie-Francine Moens (CVPR Workshops, 2022)

How Relevant is Selective Memory Population in Lifelong Language Learning? - Vladimir Araujo; Helena Balabin; Julio Hurtado; Alvaro Soto; Marie-Francine Moens (AACL/IJCNLP (2), 2022)

It's all About Consistency: A Study on Memory Composition for Replay-Based Methods in Continual Learning. - Julio Hurtado; Alain Raymond-Saez; Vladimir Araujo; Vincenzo Lomonaco; Davide Bacciu (CoRR, 2022)

A Study on the Predictability of Sample Learning Consistency. - Alain Raymond-Saez; Julio Hurtado; Alvaro Soto (CoRR, 2022)

Class-Incremental Learning with Repetition. - Hamed Hemati; Andrea Cossu; Antonio Carta; Julio Hurtado; Lorenzo Pellegrini; Davide Bacciu; Vincenzo Lomonaco; Damian Borth (CoLLAs, 2023)

PIVOT: Prompting for Video Continual Learning. - Andrés Villa; Juan León Alcázar; Motasem Alfarra; Kumail Alhamoud; Julio Hurtado; Fabian Caba Heilbron; Alvaro Soto; Bernard Ghanem (CVPR, 2023)

Scenarios, Shared Understanding, and Group Decision Support to Foster Innovation Networks. - Vanessa Agredo Delgado; Leandro Antonelli 001; César A. Collazos 001; Alejandro Fernández; Pascale Zaraté; Guy Camilleri; Julio Hurtado; Mario Lezoche; Regina Motz; Hervé Panetto; Diego Torres (HCI-COLLAB, 2023)

Memory Population in Continual Learning via Outlier Elimination. - Julio Hurtado; Alain Raymond-Saez; Vladimir Araujo; Vincenzo Lomonaco; Alvaro Soto; Davide Bacciu (ICCV (Workshops), 2023)

A Comprehensive Empirical Evaluation on Online Continual Learning. - Albin Soutif-Cormerais; Antonio Carta; Andrea Cossu; Julio Hurtado; Vincenzo Lomonaco; Joost van de Weijer 001; Hamed Hemati (ICCV (Workshops), 2023)

Studying Generalization on Memory-Based Methods in Continual Learning. - Felipe del Río; Julio Hurtado; Cristian Buc; Alvaro Soto; Vincenzo Lomonaco (CoRR, 2023)

Continual learning for predictive maintenance: Overview and challenges. - Julio Hurtado; Dario Salvati; Rudy Semola; Mattia Bosio; Vincenzo Lomonaco (Intell. Syst. Appl., 2023)

In-Context Interference In Chat-Based Large Language Models. - Eric Nuertey Coleman; Julio Hurtado; Vincenzo Lomonaco (ERF (1), 2024)

Adaptive Hyperparameter Optimization for Continual Learning Scenarios. - Rudy Semola; Julio Hurtado; Vincenzo Lomonaco; Davide Bacciu (CoRR, 2024)

Decisioning Workshop 2023. - Mario Lezoche; Luis Freddy Muñoz Sanabria; César A. Collazos 001; Diego Torres; Vanessa Agredo; Pablo H. Ruiz; Julio Hurtado (CoRR, 2024)

Continually Learn to Map Visual Concepts to Large Language Models in Resource-constrained Environments. - Clea Rebillard; Julio Hurtado; Andrii Krutsylo; Lucia C. Passaro; Vincenzo Lomonaco (CoRR, 2024)

Gradient-based inference of abstract task representations for generalization in neural networks. - Ali Hummos; Felipe del Río; Brabeeba Mien Wang; Julio Hurtado; Cristian Buc Calderon; Guangyu Robert Yang (CoRR, 2024)

Data Distributional Properties As Inductive Bias for Systematic Generalization. - Felipe del Río; Alain Raymond-Saez; Daniel Florea; Rodrigo Toro Icarte; Julio Hurtado; Cristian Buc Calderon; Alvaro Soto (CVPR, 2025)

Continually learn to map visual concepts to language models in resource-constrained environments. - Clea Rebillard; Julio Hurtado; Andrii Krutsylo; Lucia C. Passaro; Vincenzo Lomonaco (Neurocomputing, 2025)

Parameter-Efficient Continual Fine-Tuning: A Survey. - Eric Nuertey Coleman; Luigi Quarantiello; Ziyue Liu; Qinwen Yang; Samrat Mukherjee; Julio Hurtado; Vincenzo Lomonaco (CoRR, 2025)