Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory. - Alberto Paccanaro (RTA, 1995)

Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. - Alberto Paccanaro; Geoffrey E. Hinton (ICML, 2000)

Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. - Alberto Paccanaro; Geoffrey E. Hinton (IJCNN (2), 2000)

Learning Hierarchical Structures with Linear Relational Embedding. - Alberto Paccanaro; Geoffrey E. Hinton (NIPS, 2001)

Learning Distributed Representations of Relational Data using Linear Relational Embedding. - Alberto Paccanaro; Geoffrey E. Hinton (WIRN, 2001)

Learning Distributed Representations of Concepts Using Linear Relational Embedding. - Alberto Paccanaro; Geoffrey E. Hinton (IEEE Trans. Knowl. Data Eng., 2001)

Learning distributed representations of relational data using linear relational embedding. - Alberto Paccanaro (2002)

Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding. - Alberto Paccanaro (ICANN, 2003)

Spectral clustering of protein sequences. - Alberto Paccanaro; Chakra Chennubhotla 001; James A. Casbon; Mansoor A. S. Saqi (IJCNN, 2003)

Markov Analysis of Protein Sequence Similarities. - Chakra Chennubhotla 001; Alberto Paccanaro (WIRN, 2003)

Inferring protein-protein interactions using interaction network topologies. - Alberto Paccanaro; Valery Trifonov; Haiyuan Yu; Mark Gerstein (IJCNN, 2005)

Predicting interactions in protein networks by completing defective cliques. - Haiyuan Yu; Alberto Paccanaro; Valery Trifonov; Mark Gerstein (Bioinform., 2006)

SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale. - Tamás Nepusz; Rajkumar Sasidharan; Alberto Paccanaro (BMC Bioinform., 2010)

Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty. - Haixuan Yang; Tamás Nepusz; Alberto Paccanaro (Bioinform., 2012)

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods. - Giorgio Valentini; Alberto Paccanaro; Horacio Caniza; Alfonso E. Romero; Matteo Re (Artif. Intell. Medicine, 2014)

GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology. - Horacio Caniza; Alfonso E. Romero; Samuel Heron; Haixuan Yang; Alessandra Devoto; Marco Frasca 001; Marco Mesiti; Giorgio Valentini; Alberto Paccanaro (Bioinform., 2014)

Combining interactomes from multiple organisms: A case study on human-mouse. - Juan J. Caceres; Alberto Paccanaro (CLEI, 2016)

Drug targets prediction using chemical similarity. - Diego Galeano; Alberto Paccanaro (CLEI, 2016)

Mining the biomedical literature to predict shared drug targets in DrugBank. - Horacio Caniza; Diego Galeano; Alberto Paccanaro (CLEI, 2017)

Drug cocktail selection for the treatment of chagas disease: A multi-objective approach. - Mateo Torres; Juan J. Caceres; Ruben Jimenez; Victor Yubero; Celeste Vega; Miriam Rolon; Luca Cernuzzi; Benjamín Barán; Alberto Paccanaro (CLEI, 2017)

A Recommender System Approach for Predicting Drug Side Effects. - Diego Galeano; Alberto Paccanaro (IJCNN, 2018)

Learning interpretable disease self-representations for drug repositioning. - Fabrizio Frasca; Diego Galeano; Guadalupe Gonzalez; Ivan Laponogov; Kirill A. Veselkov; Alberto Paccanaro; Michael M. Bronstein (CoRR, 2019)

Disease gene prediction for molecularly uncharacterized diseases. - Juan J. Caceres; Alberto Paccanaro (PLoS Comput. Biol., 2019)

The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data. - Cheng Ye; Alberto Paccanaro; Mark Gerstein; Koon-Kiu Yan (BMC Bioinform., 2020)

A Recommender System Approach for Predicting Effective Antivirals. - Rafael Adorno; Diego Galeano; Diego H. Stalder; Luca Cernuzzi; Alberto Paccanaro (CLEI, 2021)

Protein function prediction for newly sequenced organisms. - Mateo Torres; Haixuan Yang; Alfonso E. Romero; Alberto Paccanaro (Nat. Mach. Intell., 2021)

Heterogeneous data integration methods for patient similarity networks. - Jessica Gliozzo; Marco Mesiti; Marco Notaro; Alessandro Petrini; Alex Patak; Antonio Puertas Gallardo; Alberto Paccanaro; Giorgio Valentini; Elena Casiraghi (Briefings Bioinform., 2022)

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. - 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; et al. (CoRR, 2022)

Machine learning and network medicine approaches for drug repositioning for COVID-19. - Suzana de Siqueira Santos; Mateo Torres; Diego Galeano; María del Mar Sánchez; Luca Cernuzzi; Alberto Paccanaro (Patterns, 2022)

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative. - 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; et al. (J. Biomed. Informatics, 2023)

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins. - Marco Nicolini; Dario Malchiodi; Alberto Cabri; Emanuele Cavalleri; Marco Mesiti; Alberto Paccanaro; Peter N. Robinson; Justin T. Reese; Elena Casiraghi; Giorgio Valentini (BIOSTEC (1), 2024)

Host centric drug repurposing for viral diseases. - Suzana de Siqueira Santos; Haixuan Yang; Aldo Galeano; Alberto Paccanaro (PLoS Comput. Biol., 2025)