Estevam Hruschka
Orcid: 0000-0003-1499-2808Affiliations:
- Megagon Labs
- Carnegie Mellon University, Pittsburgh, USA
According to our database1,
Estevam Hruschka
authored at least 116 papers
between 2002 and 2024.
Collaborative distances:
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on cs.cmu.edu
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Bibliography
2024
CoRR, 2024
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions.
CoRR, 2024
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs.
CoRR, 2023
Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks.
CoRR, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Proceedings of the Companion of The Web Conference 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Applying Never-Ending Learning (NEL) Principles to Build a Gene Ontology (GO) Biocurator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
2019
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Bayesian Networks for Inference and Discovery of Semantic Relations in a Never-Ending Learning System.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
J. Inf. Data Manag., 2018
NELL2RDF: Reading the Web, Tracking the Provenance, and Publishing it as Linked Data.
Proceedings of the Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, 2018
Proceedings of the 20th International Conference on Enterprise Information Systems, 2018
2017
Proceedings of TextGraphs@ACL 2017: the 11th Workshop on Graph-based Methods for Natural Language Processing, 2017
Specific temporal association rules and temporal correlations to enlarge and detect inconsistencies in a large growing knowledge base.
Proceedings of the 13th International Conference on Natural Computation, 2017
Correcting Inconsistencies through Association Rules in Temporal Large Growing Knowledge Bases.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2016
Using unsupervised information to improve semi-supervised tweet sentiment classification.
Inf. Sci., 2016
Proceedings of the 25th International Conference on World Wide Web, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Bayesian Networks for Identifying Semantic Relations in a Never-Ending Learning System.
Proceedings of the Intelligent Systems Design and Applications, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data.
Int. J. Hybrid Intell. Syst., 2014
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014
How to read the web in portuguese using the never-ending language learner's principles.
Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014
Analyzing the use of obvious and generalized association rules in a large knowledge base.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Fundam. Informaticae, 2013
Coupling as Strategy for Reducing Concept-Drift in Never-ending Learning Environments.
Fundam. Informaticae, 2013
Environ. Model. Softw., 2013
Autonomously reviewing and validating the knowledge base of a never-ending learning system.
Proceedings of the 22nd International World Wide Web Conference, 2013
Approach to Cold-Start Problem in Recommender Systems in the Context of Web-Based Education.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the New Trends in Databases and Information Systems, 2013
2012
Proceedings of the International Workshop on Web Intelligence & Communities, 2012
Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Representation and automatic learning of temporal relations between time periods with uncertain boundaries.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Conversing Learning: Active Learning and Active Social Interaction for Human Supervision in Never-Ending Learning Systems.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Never-ending learning principles in gene ontology classification using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
J. Inf. Data Manag., 2011
J. Comput. Methods Sci. Eng., 2011
Intell. Data Anal., 2011
Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim (Minimizing the Impact of the Concept Drift Problem by Using a Framework of Endless Learning) [in Portuguese].
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Gene ontology classification: Building high-level knowledge using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
J. Exp. Theor. Artif. Intell., 2009
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop.
Eng. Appl. Artif. Intell., 2009
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Learning by Reading and Learning to Read, 2009
2008
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. Univers. Comput. Sci., 2008
BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers.
Int. J. Hybrid Intell. Syst., 2008
2007
Neural Comput. Appl., 2007
J. Intell. Inf. Syst., 2007
Data Knowl. Eng., 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules.
Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007
Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
A Comparative Evaluation of Constructive Neural Networks Methods using PRM and BCP as TLU Training Algorithms.
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
2005
Selecting feature subsets for inducing classifiers using a committee of heterogeneous methods.
Proceedings of the IEEE International Conference on Systems, 2005
Proceedings of the Applications and Innovations in Intelligent Systems XIII, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005
2004
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
2003
A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm.
Appl. Artif. Intell., 2003
A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm.
Proceedings of the XVIII Simpósio Brasileiro de Bancos de Dados, 2003
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003
2002
A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002