Alberto Paccanaro

34 papers A* 1B 3C 7Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 C conf
An Empirical Study of Remote Homology Detection using Protein Language Models.
CLEI
Ruben Jimenez, Aldo Galeano, Marcelo Báez, Santiago Ferreyra, Guilherme Melo, Giorgio Valentini, Elena Casiraghi, Luca Cernuzzi, Alberto Paccanaro
2025 J jnl
Editorial: Expert opinions in genomic analysis.
Frontiers Bioinform.
João C. Setubal, Alberto Paccanaro
2025 J jnl
Host centric drug repurposing for viral diseases.
PLoS Comput. Biol.
Suzana de Siqueira Santos, Haixuan Yang, Aldo Galeano, Alberto Paccanaro
2024 — conf
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
BIOSTEC (1)
Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini
2023 J jnl
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
J. Biomed. Informatics
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
2022 J jnl
Heterogeneous data integration methods for patient similarity networks.
Briefings Bioinform.
Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi
2022 J jnl
Machine learning and network medicine approaches for drug repositioning for COVID-19.
Patterns
Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, María del Mar Sánchez, Luca Cernuzzi, Alberto Paccanaro
2022 J jnl
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
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
2021 C conf
A Recommender System Approach for Predicting Effective Antivirals.
CLEI
Rafael Adorno, Diego Galeano, Diego H. Stalder, Luca Cernuzzi, Alberto Paccanaro
2021 J jnl
Protein function prediction for newly sequenced organisms.
Nat. Mach. Intell.
Mateo Torres, Haixuan Yang, Alfonso E. Romero, Alberto Paccanaro
2020 J jnl
The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data.
BMC Bioinform.
Cheng Ye, Alberto Paccanaro, Mark Gerstein, Koon-Kiu Yan
2019 J jnl
Disease gene prediction for molecularly uncharacterized diseases.
PLoS Comput. Biol.
Juan J. Caceres, Alberto Paccanaro
2019 J jnl
Learning interpretable disease self-representations for drug repositioning.
CoRR
Fabrizio Frasca, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill A. Veselkov, Alberto Paccanaro, Michael M. Bronstein
2018 B conf
A Recommender System Approach for Predicting Drug Side Effects.
IJCNN
Diego Galeano, Alberto Paccanaro
2017 C conf
Drug cocktail selection for the treatment of chagas disease: A multi-objective approach.
CLEI
Mateo Torres, Juan J. Caceres, Ruben Jimenez, Victor Yubero, Celeste Vega, Miriam Rolon, Luca Cernuzzi, Benjamín Barán, Alberto Paccanaro
2017 C conf
Mining the biomedical literature to predict shared drug targets in DrugBank.
CLEI
Horacio Caniza, Diego Galeano, Alberto Paccanaro
2016 C conf
Combining interactomes from multiple organisms: A case study on human-mouse.
CLEI
Juan J. Caceres, Alberto Paccanaro
2016 C conf
Drug targets prediction using chemical similarity.
CLEI
Diego Galeano, Alberto Paccanaro
2014 J jnl
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artif. Intell. Medicine
Giorgio Valentini, Alberto Paccanaro, Horacio Caniza, Alfonso E. Romero, Matteo Re
2014 J jnl
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.
Bioinform.
Horacio Caniza, Alfonso E. Romero, Samuel Heron, Haixuan Yang, Alessandra Devoto, Marco Frasca, Marco Mesiti, Giorgio Valentini, Alberto Paccanaro
2012 J jnl
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty.
Bioinform.
Haixuan Yang, Tamás Nepusz, Alberto Paccanaro
2010 J jnl
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale.
BMC Bioinform.
Tamás Nepusz, Rajkumar Sasidharan, Alberto Paccanaro
2006 J jnl
Predicting interactions in protein networks by completing defective cliques.
Bioinform.
Haiyuan Yu, Alberto Paccanaro, Valery Trifonov, Mark Gerstein
2005 B conf
Inferring protein-protein interactions using interaction network topologies.
IJCNN
Alberto Paccanaro, Valery Trifonov, Haiyuan Yu, Mark Gerstein
2003 C conf
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding.
ICANN
Alberto Paccanaro
2003 — conf
Markov Analysis of Protein Sequence Similarities.
WIRN
Chakra Chennubhotla, Alberto Paccanaro
2003 B conf
Spectral clustering of protein sequences.
IJCNN
Alberto Paccanaro, Chakra Chennubhotla, James A. Casbon, Mansoor A. S. Saqi
2002 — —
Learning distributed representations of relational data using linear relational embedding.
Alberto Paccanaro
2001 J jnl
Learning Distributed Representations of Concepts Using Linear Relational Embedding.
IEEE Trans. Knowl. Data Eng.
Alberto Paccanaro, Geoffrey E. Hinton
2001 — conf
Learning Distributed Representations of Relational Data using Linear Relational Embedding.
WIRN
Alberto Paccanaro, Geoffrey E. Hinton
2001 — conf
Learning Hierarchical Structures with Linear Relational Embedding.
NIPS
Alberto Paccanaro, Geoffrey E. Hinton
2000 — conf
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions.
IJCNN (2)
Alberto Paccanaro, Geoffrey E. Hinton
2000 A* conf
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.
ICML
Alberto Paccanaro, Geoffrey E. Hinton
1995 — conf
Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory.
RTA
Alberto Paccanaro