Alberto Paccanaro

According to our database1, Alberto Paccanaro authored at least 17 papers between 1995 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
A Recommender System Approach for Predicting Drug Side Effects.
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

Mining the biomedical literature to predict shared drug targets in DrugBank.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016
Drug targets prediction using chemical similarity.
Proceedings of the XLII Latin American Computing Conference, 2016

Combining interactomes from multiple organisms: A case study on human-mouse.
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.
Bioinformatics, 2014

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.
Artificial Intelligence in Medicine, 2014

2012
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertainty.
Bioinformatics, 2012

2010
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale.
BMC Bioinformatics, 2010

2006
Predicting interactions in protein networks by completing defective cliques.
Bioinformatics, 2006

2003
Markov Analysis of Protein Sequence Similarities.
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

2001
Learning Distributed Representations of Concepts Using Linear Relational Embedding.
IEEE Trans. Knowl. Data Eng., 2001

Learning Hierarchical Structures with Linear Relational Embedding.
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.
IJCNN (2), 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


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