Riccardo De Monte

According to our database, Riccardo De Monte authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Deep Learning for Virtual Reality User Identification: A Benchmark.

Davide Frizzo, Fabrizio Genilotti, David Petrovic, Arianna Stropeni, Francesco Borsatti, Davide Dalle Pezze, Riccardo De Monte, Manuel Barusco, Gian Antonio Susto

CoRR, April, 2026

Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control.

Riccardo De Monte, Matteo Cederle, Gian Antonio Susto

CoRR, March, 2026

2025

Teach YOLO to Remember: A Self-Distillation Approach for Continual Object Detection.

Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto

CoRR, March, 2025

2024

Tiny Robotics Dataset and Benchmark for Continual Object Detection.

Francesco Pasti, Riccardo De Monte, Davide Dalle Pezze, Gian Antonio Susto, Nicola Bellotto

CoRR, 2024

Replay Consolidation with Label Propagation for Continual Object Detection.

Riccardo De Monte, Davide Dalle Pezze, Marina Ceccon, Francesco Pasti, Francesco Paissan, Elisabetta Farella, Gian Antonio Susto, Nicola Bellotto

CoRR, 2024

Enhancing Predictive Analytics in Semiconductor Manufacturing: A Deep Learning Approach for Overall Equipment Efficiency Estimation.

Filippo Boni, Riccardo De Monte, Yao Yang, Natalie Gentner, Joon Khim Low, Gian Antonio Susto

Proceedings of the 10th International Conference on Control, 2024