BICH, PHILIPPE

BICH, PHILIPPE  

Dipartimento di Elettronica e Telecomunicazioni  

067616  

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FOREST-GC: A conFOrmable Rendering Engine for Synthetic Tree Generation and Counting / Prono, L., Dhieb, N., Bich, P., Boretti, C., Pareschi, F., Brini, M., Ghazzai, H., Rovatti, R., Setti, G.. - In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. - ISSN 1939-1404. - STAMPA. - 19:(2026), pp. 9868-9880. [10.1109/jstars.2026.3671468] 1-gen-2026 Prono, LucianoBich, PhilippeBoretti, ChiaraPareschi, FabioSetti, Gianluca + FOREST-GC_A_conFOrmable_Rendering_Engine_for_Synthetic_Tree_Generation_and_Counting.pdf
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks / Prono, L., Bich, P., Boretti, C., Mangia, M., Pareschi, F., Rovatti, R., Setti, G.. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - 36:8(2025), pp. 14414-14427. [10.1109/tnnls.2025.3527644] 1-gen-2025 Prono, LucianoBich, PhilippeBoretti, ChiaraPareschi, FabioSetti, Gianluca + A_Multiply-And-Max_Min_Neuron_Paradigm_for_Aggressively_Prunable_Deep_Neural_Networks.pdf
Linearly-interpretable concept embedding models for text analysis / De Santis, F., Bich, P., Ciravegna, G., Barbiero, P., Giordano, D., Cerquitelli, T.. - In: MACHINE LEARNING. - ISSN 0885-6125. - ELETTRONICO. - 114:10(2025). [10.1007/s10994-025-06839-5] 1-gen-2025 De Santis, FrancescoBich, PhilippeCiravegna, GabrieleGiordano, DaniloCerquitelli, Tania + s10994-025-06839-5.pdf
MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks / Bich, P., Prono, L., Boretti, C., Pareschi, F., Rovatti, R., Setti, G.. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS. - ISSN 1549-7747. - STAMPA. - 72:12(2025), pp. 2057-2061. [10.1109/TCSII.2025.3621345] 1-gen-2025 Philippe BichLuciano PronoChiara BorettiFabio PareschiGianluca Setti + MESA_A_Dynamical_Attention-Based_Pre-Processing_Pipeline_for_High-Throughput_Event-Based_Computer_Vision_Tasks.pdfTCSII3621345.pdf
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons / Bich, P., Enttsel, A., Prono, L., Marchioni, A., Pareschi, F., Mangia, M., Setti, G., Rovatti, R.. - In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. - ISSN 0162-8828. - STAMPA. - 47:9(2025), pp. 8297-8304. [10.1109/tpami.2025.3570545] 1-gen-2025 Bich, PhilippeProno, LucianoPareschi, FabioSetti, Gianluca + On_the_Universal_Approximation_Properties_of_Deep_Neural_Networks_Using_MAM_Neurons (1).pdf