Gerson Zaverucha
Orcid: 0000-0002-3641-6839
According to our database1,
Gerson Zaverucha
authored at least 74 papers
between 1990 and 2024.
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Bibliography
2024
Mach. Learn., 2024
2023
A Statistical Relational Learning Approach Towards Products, Software Vulnerabilities and Exploits.
IEEE Trans. Netw. Serv. Manag., September, 2023
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning.
Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023
2022
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains.
Proceedings of the Inductive Logic Programming - 31st International Conference, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm.
Proceedings of the Inductive Logic Programming - 30th International Conference, 2021
Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021
2020
Mach. Learn., 2020
2019
Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance.
Proceedings of the Inductive Logic Programming - 29th International Conference, 2019
2018
Revising the structure of Bayesian network classifiers in the presence of missing data.
Inf. Sci., 2018
Proceedings of the 9th Global Wordnet Conference, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
On the use of stochastic local search techniques to revise first-order logic theories from examples.
Mach. Learn., 2017
J. Log. Comput., 2017
2016
Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence.
PLoS Comput. Biol., 2016
A multi-objective optimization approach accurately resolves protein domain architectures.
Bioinform., 2016
2015
Guest editors' introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning.
Mach. Learn., 2015
Evaluation and improvements of clustering algorithms for detecting remote homologous protein families.
BMC Bioinform., 2015
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015
Proceedings of the 2015 AAAI Spring Symposia, 2015
2014
Fast relational learning using bottom clause propositionalization with artificial neural networks.
Mach. Learn., 2014
2013
Proceedings of the 2013 Imperial College Computing Student Workshop, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models.
BMC Bioinform., 2011
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2009
Mach. Learn., 2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples.
Proceedings of the Inductive Logic Programming, 19th International Conference, 2009
2008
Braz. J. Inf. Syst., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
Improving model construction of profile HMMs for remote homology detection through structural alignment.
BMC Bioinform., 2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005
2004
Distributed Parallel Databases, 2004
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003
2002
A Framework for the Design of Distributed Databases.
Proceedings of the Distributed Data & Structures 4, 2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases.
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
2000
Object Oriented Design Expertise Reuse: An Approach Based on Heuristics, Design Patterns and Anti-patterns.
Proceedings of the Software Reuse: Advances in Software Reusability, 2000
1999
Appl. Intell., 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Proceedings of the Advances in Artificial Intelligence, 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Inducing Relational Concepts with Neural Networks via the LINUS System.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
Proceedings of the Hybrid Neural Systems, 1998
Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems, 1998
1997
Applying the connectionist inductive learning and logic programming system to power system diagnosis.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1995
Proceedings of the Advances in Artificial Intelligence, 1995
An integration of neural networks and nonmonotonic reasoning for power system diagnosis.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
1994
A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory.
Proceedings of the KI-94: Advances in Artificial Intelligence, 1994
1992
J. Appl. Non Class. Logics, 1992
Logical Foundations of a Modal Defeasible Relevant Logic of Belief.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992
1990
PhD thesis, 1990