Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37o ciclo (2021-2024)
Dottorato concluso nel 2026
Tesi:
Towards Smaller, Lighter, and More Transparent AI
Tutori:
Gianluca SettiPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- De Santis, Francesco; Ciravegna, Gabriele; Bich, Philippe; Giordano, Danilo; ... (2026)
V-CEM: Bridging Performance and Intervenability in Concept-Based Models. In: 3rd World Conference on Explainable Artificial Intelligence, xAI 2025, Istanbul (TUR), July 9–11, 2025, pp. 48-67. ISSN 1865-0937. ISBN: 9783032083166
Contributo in Atti di Convegno (Proceeding) - De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Cerquitelli ... (2026)
Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto (PRT), September 15–19, 2025, pp. 478-494. ISBN: 978-3-032-06065-5
Contributo in Atti di Convegno (Proceeding) - De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, ... (2025)
Linearly-interpretable concept embedding models for text analysis. In: MACHINE LEARNING, vol. 114. ISSN 0885-6125
Contributo su Rivista - Prono, Luciano; Bich, Philippe; Boretti, Chiara; Mangia, Mauro; Pareschi, Fabio; ... (2025)
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 36, pp. 14414-14427. ISSN 2162-237X
Contributo su Rivista - Bich, Philippe; Prono, Luciano; Boretti, Chiara; Pareschi, Fabio; Rovatti, Riccardo; ... (2025)
MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, vol. 72, pp. 2057-2061. ISSN 1549-7747
Contributo su Rivista - Bich, Philippe; Enttsel, Andriy; Prono, Luciano; Marchioni, Alex; Pareschi, Fabio; ... (2025)
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons. In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 47, pp. 8297-8304. ISSN 0162-8828
Contributo su Rivista - Boretti, Chiara; Bich, Philippe; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; ... (2024)
Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking. In: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), Xian (Chi), 24-26 October 2024. ISBN: 979-8-3503-5495-9
Contributo in Atti di Convegno (Proceeding) - Bich, P.; Boretti, C.; Prono, L.; Pareschi, F.; Rovatti, R.; Setti, G. (2024)
Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning. In: 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), Abu Dhabi (United Arab Emirates), April 22-25, 2024, pp. 337-341. ISBN: 979-8-3503-8363-8
Contributo in Atti di Convegno (Proceeding) - Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; ... (2024)
Event-Based Eye Tracking. AIS 2024 Challenge Survey. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA (USA), 17-18 June 2024, pp. 5810-5825. ISBN: 979-8-3503-6547-4
Contributo in Atti di Convegno (Proceeding) - Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2023)
Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation. In: 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), Tempe, AZ, USA, August 6-9, 2023, pp. 629-633. ISBN: 979-8-3503-0210-3
Contributo in Atti di Convegno (Proceeding) - Boretti, Chiara; Bich, Philippe; Pareschi, Fabio; Prono, Luciano; Rovatti, Riccardo; ... (2023)
PEDRo: an Event-based Dataset for Person Detection in Robotics. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver (CA), 17-24 giugno 2023, pp. 4065-4070. ISBN: 979-8-3503-0249-3
Contributo in Atti di Convegno (Proceeding) - Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2022)
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing. In: 2022 IEEE Biomedical Circuits and System Conference (BioCAS2022), Taipei, Taiwan, October 13-15, 2022, pp. 163-167. ISBN: 978-1-6654-6917-3
Contributo in Atti di Convegno (Proceeding) - Boretti, Chiara; Bich, Philippe; Zhang, Yanyu; Baillieul, John (2022)
Visual Navigation Using Sparse Optical Flow and Time-to-Transit. In: 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 23-27 May 2022, pp. 9397-9403. ISBN: 978-1-7281-9681-7
Contributo in Atti di Convegno (Proceeding)