Citizen security using machine learning algorithms through open data. - Gusseppe Bravo Rocca; Manuel Castillo-Cara; Raul Arias Levano; Javier Villegas Herrera; Luis Orozco-Barbosa (LATINCOM, 2016)

An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism. - Manuel Castillo-Cara; Jesús Lovón-Melgarejo; Gusseppe Bravo Rocca; Luis Orozco-Barbosa; Ismael García-Varea (J. Sensors, 2017)

An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms. - Manuel Castillo-Cara; Jesús Lovón-Melgarejo; Gusseppe Bravo Rocca; Luis Orozco-Barbosa; Ismael García-Varea (Sensors, 2017)

Sparkmach: A Distributed Data Processing System Based on Automated Machine Learning for Big Data. - Gusseppe Bravo Rocca; Piero Torres-Robatty; Jose Fiestas-Iquira (SIMBig, 2018)

Energy-Aware Dynamic Pricing Model for Cloud Environments. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart (GECON, 2019)

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (Middleware Demos/Posters, 2021)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (CoRR, 2021)

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. - Peini Liu; Gusseppe Bravo Rocca; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (CCGRID, 2022)

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Miroslav Hodak (COMPSAC, 2022)

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debuggin. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Jeffrey Falkanger; Miroslav Hodak (Expert Syst. Appl., 2022)

TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison (ICPR (29), 2024)

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Rodrigo M. Carrillo-Larco; Ajay Dholakia; David Ellison (AAMAS, 2025)

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Rodrigo M. Carrillo-Larco (VISIGRAPP (2): VISAPP, 2025)