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ORCIDFrancesco Ceccarelli
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2020 – today
- 2024
[c4]Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò:
Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs. ICPRAM 2024: 582-593- [c3]Francesco Ceccarelli, Francesco Prinzi, Pietro Liò, Salvatore Vitabile, Sean B. Holden:
MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI. IJCNN 2024: 1-8 - [c2]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
Topological Message Passing for Higher - Order and Long - Range Interactions. IJCNN 2024: 1-8 - 2023
- [i4]Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò:
CIN++: Enhancing Topological Message Passing. CoRR abs/2306.03561 (2023) - [i3]Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò:
Neural Embeddings for Protein Graphs. CoRR abs/2306.04667 (2023) - 2022
- [j4]Francesco Ceccarelli
, Marwa Mahmoud:
Multimodal temporal machine learning for Bipolar Disorder and Depression Recognition. Pattern Anal. Appl. 25(3): 493-504 (2022) - [i2]Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi:
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. CoRR abs/2201.01196 (2022) - [i1]Valeria Cimini, Mauro Valeri, Emanuele Polino, Simone Piacentini, Francesco Ceccarelli, Giacomo Corrielli, Nicolò Spagnolo, Roberto Osellame, Fabio Sciarrino:
Deep reinforcement learning for quantum multiparameter estimation. CoRR abs/2209.00671 (2022) - 2021
- [j3]Antonio de Falco, Zoltán Dezsö, Francesco Ceccarelli, Luigi Cerulo, Angelo Ciaramella, Michele Ceccarelli:
Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets. Bioinform. 37(10): 1420-1427 (2021) - 2020
- [j2]Francesco Ceccarelli, Dénes Türei, Attila Gábor, Julio Saez-Rodriguez:
Bringing data from curated pathway resources to Cytoscape with OmniPath. Bioinform. 36(8): 2632-2633 (2020) - [j1]Teresa Maria Rosaria Noviello, Francesco Ceccarelli, Michele Ceccarelli, Luigi Cerulo:
Deep learning predicts short non-coding RNA functions from only raw sequence data. PLoS Comput. Biol. 16(11) (2020)
2010 – 2019
- 2018
- [b1]Francesco Ceccarelli:
Development of custom-technology single-photon avalanche diode arrays for high-performance applications. Polytechnic University of Milan, Italy, 2018
2000 – 2009
- 2009
- [c1]Fabrizio Baiardi, Diego Cilea, Daniele Sgandurra, Francesco Ceccarelli:
Measuring Semantic Integrity for Remote Attestation. TRUST 2009: 81-100
Coauthor Index
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