Fábio Gagliardi Cozman
Orcid: 0000-0003-4077-4935Affiliations:
- University of Sao Paulo, Brazil
- Carnegie Mellon University, Pittsburgh, USA
According to our database1,
Fábio Gagliardi Cozman
authored at least 183 papers
between 1995 and 2024.
Collaborative distances:
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on orcid.org
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on cs.cmu.edu
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
AI Ethics, February, 2023
CoRR, 2023
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change.
CoRR, 2023
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning.
CoRR, 2023
A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention.
CoRR, 2023
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points.
CoRR, 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks.
Proceedings of the Progress in Artificial Intelligence, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
2022
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory.
CoRR, 2022
Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests.
CoRR, 2022
Proceedings of the Computational Processing of the Portuguese Language, 2022
Bipolar Argumentation Frameworks with Explicit Conclusions: Connecting Argumentation and Logic Programming.
Proceedings of the 20th International Workshop on Non-Monotonic Reasoning, 2022
A Credal Least Undefined Stable Semantics for Probabilistic Logic Programs and Probabilistic Argumentation.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Int. J. Approx. Reason., 2021
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021
2020
Int. J. Approx. Reason., 2020
Int. J. Approx. Reason., 2020
The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference.
Int. J. Approx. Reason., 2020
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems.
CoRR, 2020
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate.
CoRR, 2020
AI Soc., 2020
Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning.
IEEE Access, 2020
Proceedings of the 13th International Conference on Natural Language Generation, 2020
2019
Int. J. Approx. Reason., 2019
The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws.
Int. J. Approx. Reason., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Graphoid Properties of Variants of Epistemic Independence Based on Regular Conditioning.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods.
Proceedings of the 6th International Conference on Behavioral, 2019
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019
2018
The complexity of Bayesian networks specified by propositional and relational languages.
Artif. Intell., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
J. Artif. Intell. Res., 2017
The effect of combination functions on the complexity of relational Bayesian networks.
Int. J. Approx. Reason., 2017
Int. J. Approx. Reason., 2017
Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017
2016
J. Exp. Theor. Artif. Intell., 2016
Int. J. Approx. Reason., 2016
CoRR, 2016
Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the 3rd International Workshop on Probabilistic Logic Programming co-located with 26th International Conference on Inductive Logic Programming (ILP 2016), 2016
Image Classification Using Sum-Product Networks for Autonomous Flight of Micro Aerial Vehicles.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Effect of Part-of-Speech and Lemmatization Filtering in Email Classification for Automatic Reply.
Proceedings of the Knowledge Extraction from Text, 2016
2015
J. Braz. Comput. Soc., 2015
J. Braz. Comput. Soc., 2015
Int. J. Approx. Reason., 2015
Int. J. Approx. Reason., 2015
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015
Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015
The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms.
Int. J. Approx. Reason., 2014
Int. J. Approx. Reason., 2014
Logic-probabilistic model for event recognition in a robotic search and rescue scenario.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014
Computing Inferences for Relational Bayesian Networks Based on <i>ALC</i> Constructs.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Inference with Aggregation Parfactors: Lifted Elimination with First-Order d-Separation.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
J. Braz. Comput. Soc., 2013
Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks.
Int. J. Approx. Reason., 2013
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013
Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013
Proceedings of the 6th Seminar on Ontology Research in Brazil, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
A Qualitative-Probabilistic Approach to Autonomous Mobile Robot Self Localisation and Self Vision Calibration.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2012
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments
CoRR, 2012
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011)
CoRR, 2012
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012
An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction.
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012
2011
Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities.
Int. J. Approx. Reason., 2011
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011
Proceedings of the Ninth Symposium on Abstraction, Reformulation, and Approximation, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
Proceedings of the Advances in Soft Computing, 2011
Proceedings of the 24th International Workshop on Description Logics (DL 2011), 2011
Collective Classification in Semantic Mapping with a Probabilistic Description Logic.
Proceedings of the 24th International Workshop on Description Logics (DL 2011), 2011
2010
Concentration inequalities and laws of large numbers under epistemic and regular irrelevance.
Int. J. Approx. Reason., 2010
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), 2010
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), 2010
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010
Proceedings of the First International Workshop on Uncertainty in Description Logics, 2010
2009
Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence.
J. Appl. Log., 2009
Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic.
Proceedings of the UAI 2009, 2009
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), 2009
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009
2008
Int. J. Approx. Reason., 2008
Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008
Inference in Probabilistic Ontologies with Attributive Concept Descriptions and Nominals.
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, 2008
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008
2007
Int. J. Approx. Reason., 2007
2006
Reliab. Comput., 2006
Proceedings of the STAIRS 2006, 2006
Unifying Nondeterministic and Probabilistic Planning Through Imprecise Markov Decision Processes.
Proceedings of the Advances in Artificial Intelligence, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers.
Proceedings of the Semi-Supervised Learning, 2006
2005
Multim. Syst., 2005
Int. J. Approx. Reason., 2005
Ann. Math. Artif. Intell., 2005
Proceedings of the UAI '05, 2005
Approximate Inference in Credal Networks by Variational Mean Field Methods.
Proceedings of the ISIPTA '05, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
2004
Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction.
IEEE Trans. Pattern Anal. Mach. Intell., 2004
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat.
Proceedings of the UAI '04, 2004
Generating Random Bayesian Networks with Constraints on Induced Width.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
Axiomatizing Noisy-OR.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2003
Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003
Proceedings of the ISIPTA '03, 2003
Proceedings of the ISIPTA '03, 2003
Proceedings of the Machine Learning, 2003
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
2002
Proceedings of the UAI '02, 2002
Evidence Propagation in Credal Networks: An Exact Algorithm Based on Separately Specified Sets of Probability.
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002
2001
Constructing Sets of Probability Measures Through Kuznetsov's Independence Condition.
Proceedings of the ISIPTA '01, 2001
2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
1999
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
1998
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998
Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998
1997
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997
Proceedings of the 1997 IEEE International Conference on Robotics and Automation, 1997
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997
1996
Proceedings of ThirdIEEE Workshop on Applications of Computer Vision, 1996
Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996
1995
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1995
Proceedings of the 1995 International Conference on Robotics and Automation, 1995