Alberto Paccanaro
Orcid: 0000-0001-8059-1346
According to our database1,
Alberto Paccanaro
authored at least 29 papers
between 1995 and 2024.
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Bibliography
2024
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024
2023
A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.
J. Biomed. Informatics, March, 2023
2022
Machine learning and network medicine approaches for drug repositioning for COVID-19.
Patterns, 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.
CoRR, 2022
Briefings Bioinform., 2022
2021
Proceedings of the XLVII Latin American Computing Conference, 2021
2020
The corrected gene proximity map for analyzing the 3D genome organization using Hi-C data.
BMC Bioinform., 2020
2019
PLoS Comput. Biol., 2019
CoRR, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Drug cocktail selection for the treatment of chagas disease: A multi-objective approach.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017
2016
Proceedings of the XLII Latin American Computing Conference, 2016
Proceedings of the XLII Latin American Computing Conference, 2016
2014
GOssTo: a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology.
Bioinform., 2014
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artif. Intell. Medicine, 2014
2012
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty.
Bioinform., 2012
2010
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale.
BMC Bioinform., 2010
2006
Bioinform., 2006
2003
Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003
Learning Distributed Representations of High-Arity Relational Data with Non-linear Relational Embedding.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
Learning distributed representations of relational data using linear relational embedding.
PhD thesis, 2002
2001
IEEE Trans. Knowl. Data Eng., 2001
Learning Distributed Representations of Relational Data using Linear Relational Embedding.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
1995
Guiding Term Reduction Through a Neural Network: Some Prelimanary Results for the Group Theory.
Proceedings of the Rewriting Techniques and Applications, 6th International Conference, 1995