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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
A brief description about me
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Cognitive Architecture for ML Monitoring
LLM-based agent framework for autonomous ML model monitoring in production environments
Scanflow: MLOps Framework
Production-grade MLOps framework for ML workflow management, debugging, and reliability 
TADIL: Task-Agnostic Domain Learning
Novel continual learning algorithm enabling 6% performance improvement across domains without task labels
publications
Scanflow: Multi-graph framework for Machine Learning workflow management, supervision, and debugging
Published in Expert Systems With Applications, 2024
Production-grade MLOps framework for ML workflow management, debugging, and reliability published in top-tier journal.
Recommended citation: Bravo-Rocca, G., et al. (2024). "Scanflow: Multi-graph framework for Machine Learning workflow management, supervision, and debugging." Expert Systems With Applications. Impact Factor: 8.665.
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Published in International Conference on Pattern Recognition (ICPR), 2024
Task-agnostic domain-incremental learning approach using transformer nearest-centroid embeddings for effective domain adaptation without task labels.
Recommended citation: Bravo-Rocca, G., et al. (2024). "TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings." ICPR 2024. Kolkata, India.
Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring
Published in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2025
This paper presents an adaptive cognitive architecture for interpretable machine learning monitoring in agent systems.
Recommended citation: Bravo-Rocca, G., et al. (2025). "Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring." International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Detroit, USA.
Experience Replay and Zero-shot Clustering for Continual Learning in Diabetic Retinopathy Detection
Published in International Conference on Computer Vision Theory and Applications (VISAPP), 2025
Novel approach combining experience replay and zero-shot clustering for continual learning in healthcare, shortlisted for Best Student Paper Award.
Recommended citation: Bravo-Rocca, G., et al. (2025). "Experience Replay and Zero-shot Clustering for Continual Learning in Diabetic Retinopathy Detection." VISAPP 2025. Porto, Portugal.
talks
Lenovo Press
Published:
Article: “Autonomous Vehicles Use New AI Algorithm to Learn from Changes in the Environment”
ContinualAI Community
Published:
Topic: “TADIL: Task-Agnostic Domain-Incremental Learning”
Xarxa RDI-IA Conference 2024
Published:
Poster: “TADIL: Task-Agnostic Domain-Incremental Learning”
CVPR Workshop 2024
Published:
Paper: “Enhancing Continual Learning in Diabetic Retinopathy: Multimodal Zero-shot Clustering”
ICPR 2024
Published:
Paper: “TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference”
AAMAS 2025
Published:
Paper: “Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring”
teaching
MLOps and AI Systems Training
Industry Training, Barcelona Supercomputing Center & Lenovo, 2022
Led training sessions and knowledge transfer on MLOps, AI system reliability, and production ML deployment for industry partners and research teams.
AI Research Mentoring at Emory University
Research Mentoring, Emory Global Diabetes Research Center, 2023
Research mentoring and collaboration at Emory Global Diabetes Research Center focusing on continual learning applications for health and epidemiological research.