Alberto Paccanaro

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 15

Top Topics

Biomedical Literature

Protein Function

Methodological Framework

Gene Prediction

Top Venues

Artif. Intell. Medicine

Publications

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)
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 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 (2023)
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)
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) (2022)
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 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 (2022)
Rafael Adorno, Diego Galeano, D. H. Stalder, Luca Cernuzzi, Alberto Paccanaro
A Recommender System Approach for Predicting Effective Antivirals. CLEI (2021)
Mateo Torres, Haixuan Yang, Alfonso E. Romero, Alberto Paccanaro
Protein function prediction for newly sequenced organisms. Nat. Mach. Intell. 3 (12) (2021)
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) (2020)
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 (2019)
Juan J. Caceres, Alberto Paccanaro
Disease gene prediction for molecularly uncharacterized diseases. PLoS Comput. Biol. 15 (7) (2019)
Diego Galeano, Alberto Paccanaro
A Recommender System Approach for Predicting Drug Side Effects. IJCNN (2018)
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)
Horacio Caniza, Diego Galeano, Alberto Paccanaro
Mining the biomedical literature to predict shared drug targets in DrugBank. CLEI (2017)
Diego Galeano, Alberto Paccanaro
Drug targets prediction using chemical similarity. CLEI (2016)
Juan J. Caceres, Alberto Paccanaro
Combining interactomes from multiple organisms: A case study on human-mouse. CLEI (2016)
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) (2014)
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) (2014)
Haixuan Yang, Tamás Nepusz, Alberto Paccanaro
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty. Bioinform. 28 (10) (2012)
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 (2010)
Haiyuan Yu, Alberto Paccanaro, Valery Trifonov, Mark Gerstein
Predicting interactions in protein networks by completing defective cliques. Bioinform. 22 (7) (2006)
Alberto Paccanaro
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding. ICANN (2003)
Chakra Chennubhotla, Alberto Paccanaro
Markov Analysis of Protein Sequence Similarities. WIRN (2003)
Alberto Paccanaro, Geoffrey E. Hinton
Learning Distributed Representations of Concepts Using Linear Relational Embedding. IEEE Trans. Knowl. Data Eng. 13 (2) (2001)
Alberto Paccanaro, Geoffrey E. Hinton
Learning Hierarchical Structures with Linear Relational Embedding. NIPS (2001)
Alberto Paccanaro, Geoffrey E. Hinton
Learning Distributed Representations of Relational Data using Linear Relational Embedding. WIRN (2001)
Alberto Paccanaro, Geoffrey E. Hinton
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. IJCNN (2) (2000)
Alberto Paccanaro, Geoffrey E. Hinton
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. ICML (2000)
Alberto Paccanaro
Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory. RTA (1995)