D'ASCENZO, DAVIDE

D'ASCENZO, DAVIDE  

Dipartimento di Automatica e Informatica  

098324  

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Citazione Data di pubblicazione Autori File
Hierarchical cross-entropy loss improves atlas-scale single-cell annotation models / Cultrera Di Montesano, Sebastiano; D'Ascenzo, Davide; Raghavan, Srivatsan; Amini, Ava P.; Winter, Peter S.; Crawford, Lorin. - In: NATURE COMPUTATIONAL SCIENCE. - ISSN 2662-8457. - (In corso di stampa). In corso di stampa Davide D'Ascenzo + Cell_Type_Annotation_Paper.pdf
Theory and Tools for Structure-Aware Machine Learning on Biological Data / D'Ascenzo, Davide. - (2026 Mar 02), pp. 1-149. 2-mar-2026 D'ASCENZO, DAVIDE conv_phd_thesis.pdfconv_phd_thesis_abstract.pdf
Position: A Theory of Deep Learning Must Include Compositional Sparsity / Danhofer, David A.; D'Ascenzo, Davide; Dubach, Rafael; Poggio, Tomaso. - ELETTRONICO. - 267:(2025), pp. 81199-81210. ( Forty-second International Conference on Machine Learning Position Vancouver (CAN) July 13th -19th, 2025). 1-gen-2025 Davide D'Ascenzo + 186_Position_A_Theory_of_Deep_.pdfdanhofer25a.pdf
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics / D'Ascenzo, Davide; Cultrera Di Montesano, Sebastiano. - (2025). 1-gen-2025 Davide D'Ascenzo + 2506.01883v1.pdf
Score and Rank Semi-Monotonicity for Closeness, Betweenness and Harmonic Centrality / Boldi, Paolo; D'Ascenzo, Davide; Furia, Flavio; Vigna, Sebastiano. - 1143:(2024), pp. 102-113. ( The Twelfth International Conference on Complex Networks and their Applications Menton (FRA) 28 - 30 November, 2023) [10.1007/978-3-031-53472-0_9]. 1-gen-2024 Davide D'Ascenzo + semi.pdf
Score and rank semi-monotonicity for closeness, betweenness, and distance–decay centralities / Boldi, Paolo; D'Ascenzo, Davide; Furia, Flavio; Vigna, Sebastiano. - In: SOCIAL NETWORK ANALYSIS AND MINING. - ISSN 1869-5469. - 14:(2024). [10.1007/s13278-024-01285-y] 1-gen-2024 D'Ascenzo, Davide + s13278-024-01285-y.pdf