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ORCIDAlberto Paccanaro
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2020 – today
- 2024
[c14]Marco Nicolini
, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini:
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. BIOSTEC (1) 2024: 561-568- 2023
- [j12]Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins:
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. J. Biomed. Informatics 139: 104295 (2023) - 2022
- [j11]Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi:
Heterogeneous data integration methods for patient similarity networks. Briefings Bioinform. 23(4) (2022) - [j10]Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, María del Mar Sánchez, Luca Cernuzzi, Alberto Paccanaro:
Machine learning and network medicine approaches for drug repositioning for COVID-19. Patterns 3(1): 100396 (2022) - [i2]Elena Casiraghi, Rachel Wong, Margaret Hall, Ben D. Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin T. Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins:
Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski: A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative. CoRR abs/2206.06444 (2022) - 2021
- [j9]Mateo Torres, Haixuan Yang, Alfonso E. Romero, Alberto Paccanaro:
Protein function prediction for newly sequenced organisms. Nat. Mach. Intell. 3(12): 1050-1060 (2021) - [c13]Rafael Adorno, Diego Galeano, Diego H. Stalder, Luca Cernuzzi, Alberto Paccanaro:
A Recommender System Approach for Predicting Effective Antivirals. CLEI 2021: 1-10 - 2020
- [j8]Cheng Ye, Alberto Paccanaro, Mark Gerstein, Koon-Kiu Yan:
The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data. BMC Bioinform. 21(1): 222 (2020)
2010 – 2019
- 2019
- [j7]Juan J. Caceres, Alberto Paccanaro:
Disease gene prediction for molecularly uncharacterized diseases. PLoS Comput. Biol. 15(7) (2019) - [i1]Fabrizio Frasca, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill A. Veselkov, Alberto Paccanaro, Michael M. Bronstein:
Learning interpretable disease self-representations for drug repositioning. CoRR abs/1909.06609 (2019) - 2018
- [c12]Diego Galeano, Alberto Paccanaro:
A Recommender System Approach for Predicting Drug Side Effects. IJCNN 2018: 1-8 - 2017
- [c11]Horacio Caniza, Diego Galeano, Alberto Paccanaro:
Mining the biomedical literature to predict shared drug targets in DrugBank. CLEI 2017: 1-5 - [c10]Mateo Torres, Juan J. Caceres, Ruben Jimenez, Victor Yubero, Celeste Vega, Miriam Rolon, Luca Cernuzzi, Benjamín Barán, Alberto Paccanaro:
Drug cocktail selection for the treatment of chagas disease: A multi-objective approach. CLEI 2017: 1-5 - 2016
- [c9]Juan J. Caceres, Alberto Paccanaro:
Combining interactomes from multiple organisms: A case study on human-mouse. CLEI 2016: 1-6 - [c8]Diego Galeano, Alberto Paccanaro:
Drug targets prediction using chemical similarity. CLEI 2016: 1-7 - 2014
- [j6]Giorgio Valentini, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero, Matteo Re:
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. Artif. Intell. Medicine 61(2): 63-78 (2014) - [j5]Horacio Caniza, Alfonso E. Romero, Samuel Heron, Haixuan Yang, Alessandra Devoto, Marco Frasca, Marco Mesiti, Giorgio Valentini, Alberto Paccanaro:
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology. Bioinform. 30(15): 2235-2236 (2014) - 2012
- [j4]Haixuan Yang, Tamás Nepusz, Alberto Paccanaro:
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty. Bioinform. 28(10): 1383-1389 (2012) - 2010
- [j3]Tamás Nepusz, Rajkumar Sasidharan, Alberto Paccanaro:
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale. BMC Bioinform. 11: 120 (2010)
2000 – 2009
- 2006
- [j2]Haiyuan Yu, Alberto Paccanaro, Valery Trifonov, Mark Gerstein:
Predicting interactions in protein networks by completing defective cliques. Bioinform. 22(7): 823-829 (2006) - 2003
- [c7]Alberto Paccanaro:
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding. ICANN 2003: 149-156 - [c6]Chakra Chennubhotla, Alberto Paccanaro:
Markov Analysis of Protein Sequence Similarities. WIRN 2003: 278-286 - 2002
- [b1]Alberto Paccanaro:
Learning distributed representations of relational data using linear relational embedding. University of Toronto, Canada, 2002 - 2001
- [j1]Alberto Paccanaro, Geoffrey E. Hinton:
Learning Distributed Representations of Concepts Using Linear Relational Embedding. IEEE Trans. Knowl. Data Eng. 13(2): 232-244 (2001) - [c5]Alberto Paccanaro, Geoffrey E. Hinton:
Learning Hierarchical Structures with Linear Relational Embedding. NIPS 2001: 857-864 - [c4]Alberto Paccanaro, Geoffrey E. Hinton:
Learning Distributed Representations of Relational Data using Linear Relational Embedding. WIRN 2001: 134-143 - 2000
- [c3]Alberto Paccanaro, Geoffrey E. Hinton:
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. ICML 2000: 711-718 - [c2]Alberto Paccanaro, Geoffrey E. Hinton:
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. IJCNN (2) 2000: 259-264
1990 – 1999
- 1995
- [c1]Alberto Paccanaro:
Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory. RTA 1995: 444-449
Coauthor Index
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