Robot Localization Using a Computer Vision Sextant. - Fábio Gagliardi Cozman; Eric Krotkov (ICRA, 1995)

Experience with rover navigation for lunar-like terrains. - Reid G. Simmons; Eric Krotkov; Lonnie Chrisman; Fábio Gagliardi Cozman; Richard Goodwin; Martial Hebert; Lalitesh Katragadda; Sven Koenig; Gita Krishnaswamy; Yoshikazu Shinoda; William Whittaker; Paul R. Klarer (IROS (1), 1995)

Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem. - Fábio Gagliardi Cozman; Eric Krotkov (UAI, 1996)

Position estimation from outdoor visual landmarks for teleoperation of lunar rovers. - Fábio Gagliardi Cozman; Eric Krotkov (WACV, 1996)

Depth from Scattering. - Fábio Gagliardi Cozman; Eric Krotkov (CVPR, 1997)

Automatic Mountain Detection and Pose Estimation for Teleoperation of Lunar Rovers. - Fábio Gagliardi Cozman; Eric Krotkov (ISER, 1997)

Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions. - Fábio Gagliardi Cozman (UAI, 1997)

Fast software image stabilization with color registration. - Carlos Guestrin; Fábio Gagliardi Cozman; Eric Krotkov (IROS, 1998)

Industrial applications of image mosaicing and stabilization. - Carlos Guestrin; Fábio Gagliardi Cozman; Marcelo Godoy Simões (KES (2), 1998)

Irrelevance and Independence Relations in quasi-Bayesian Networks. - Fábio Gagliardi Cozman (UAI, 1998)

Irrelevance and Independence Axioms in Quasi-Bayesian Theory. - Fábio Gagliardi Cozman (ESCQARU, 1999)

Separation Properties of Sets of Probability Measures. - Fábio Gagliardi Cozman (UAI, 2000)

Credal networks. - Fábio Gagliardi Cozman (Artif. Intell., 2000)

Outdoor Visual Position Estimation for Planetary Rovers. - Fábio Gagliardi Cozman; Eric Krotkov; Carlos Guestrin (Auton. Robots, 2000)

Computing posterior upper expectations. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2000)

Reasoning with imprecise probabilities. - Fábio Gagliardi Cozman; Serafín Moral (Int. J. Approx. Reason., 2000)

Constructing Sets of Probability Measures Through Kuznetsov's Independence Condition. - Fábio Gagliardi Cozman (ISIPTA, 2001)

Algorithms for Conditioning on Events of Zero Lower Probability. - Fábio Gagliardi Cozman (FLAIRS, 2002)

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers. - Fábio Gagliardi Cozman; Ira Cohen (FLAIRS, 2002)

Random Generation of Bayesian Networks. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (SBIA, 2002)

Evidence Propagation in Credal Networks: An Exact Algorithm Based on Separately Specified Sets of Probability. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman (SBIA, 2002)

Inference with Seperately Specified Sets of Probabilities in Credal Networks. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman (UAI, 2002)

Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data. - Ira Cohen; Nicu Sebe; Fábio Gagliardi Cozman; Marcelo Cesar Cirelo; Thomas S. Huang (CVPR (1), 2003)

Semi-Supervised Learning of Mixture Models. - Fábio Gagliardi Cozman; Ira Cohen; Marcelo Cesar Cirelo (ICML, 2003)

Computing Lower Expectations with Kuznetsov's Independence Condition. - Fábio Gagliardi Cozman (ISIPTA, 2003)

Inference in Credal Networks with Branch-and-Bound Algorithms. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman (ISIPTA, 2003)

Semi-supervised learning for facial expression recognition. - Ira Cohen; Nicu Sebe; Fábio Gagliardi Cozman; Thomas S. Huang (Multimedia Information Retrieval, 2003)

Inference in Polytrees with Sets of Probabilities. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman; Cassio Polpo de Campos (UAI, 2003)

Axiomatizing Noisy-OR. - Fábio Gagliardi Cozman (ECAI, 2004)

Generating Random Bayesian Networks with Constraints on Induced Width. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman; Fabio Tozeto Ramos (ECAI, 2004)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat. - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (UAI, 2004)

Semisupervised Learning of Classifiers: Theory, Algorithms, and Their Application to Human-Computer Interaction. - Ira Cohen; Fábio Gagliardi Cozman; Nicu Sebe; Marcelo Cesar Cirelo; Thomas S. Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

The Inferential Complexity of Bayesian and Credal Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (IJCAI, 2005)

Approximate Inference in Credal Networks by Variational Mean Field Methods. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (ISIPTA, 2005)

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (UAI, 2005)

Graphoid properties of epistemic irrelevance and independence. - Fábio Gagliardi Cozman; Peter Walley (Ann. Math. Artif. Intell., 2005)

Graphical models for imprecise probabilities. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2005)

Anytime anyspace probabilistic inference. - Fabio Tozeto Ramos; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2005)

Inference in credal networks: branch-and-bound methods and the A/R+ algorithm. - José Carlos Ferreira da Rocha; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2005)

Learning probabilistic classifiers for human-computer interaction applications. - Nicu Sebe; Ira Cohen; Fábio Gagliardi Cozman; Theo Gevers; Thomas S. Huang (Multim. Syst., 2005)

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers. - Fábio Gagliardi Cozman; Ira Cohen (Semi-Supervised Learning, 2006)

Probabilistic Logic with Strong Independence. - Fábio Gagliardi Cozman; Cassio P. de Campos; José Carlos Ferreira da Rocha (IBERAMIA-SBIA, 2006)

Unifying Nondeterministic and Probabilistic Planning Through Imprecise Markov Decision Processes. - Felipe W. Trevizan; Fábio Gagliardi Cozman; Leliane Nunes de Barros (IBERAMIA-SBIA, 2006)

Binarization Algorithms for Approximate Updating in Credal Nets. - Alessandro Antonucci 001; Marco Zaffalon; Jaime Shinsuke Ide; Fábio Gagliardi Cozman (STAIRS, 2006)

Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05. - Daniel Berleant; Fábio Gagliardi Cozman; Olga Kosheleva; Vladik Kreinovich (Reliab. Comput., 2006)

Planning under Risk and Knightian Uncertainty. - Felipe W. Trevizan; Fábio Gagliardi Cozman; Leliane Nunes de Barros (IJCAI, 2007)

Computing lower and upper expectations under epistemic independence. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2007)

Reasoning with imprecise probabilities. - Andrés Cano; Fábio Gagliardi Cozman; Thomas Lukasiewicz (Int. J. Approx. Reason., 2007)

Notes on "Notes on conditional previsions". - Paolo Vicig; Marco Zaffalon; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2007)

Strong Probabilistic Planning. - Silvio do Lago Pereira; Leliane Nunes de Barros; Fábio Gagliardi Cozman (MICAI, 2008)

Inference in Probabilistic Ontologies with Attributive Concept Descriptions and Nominals. - Rodrigo Bellizia Polastro; Fábio Gagliardi Cozman (URSW, 2008)

Loopy Propagation in a Probabilistic Description Logic. - Fábio Gagliardi Cozman; Rodrigo Bellizia Polastro (SUM, 2008)

Probabilistic logic with independence. - Fábio Gagliardi Cozman; Cassio Polpo de Campos; José Carlos Ferreira da Rocha (Int. J. Approx. Reason., 2008)

Approximate algorithms for credal networks with binary variables. - Jaime Shinsuke Ide; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2008)

Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities. - Karina Valdivia Delgado; Scott Sanner; Leliane Nunes de Barros; Fábio Gagliardi Cozman (ICAPS, 2009)

An Algorithm for Learning with Probabilistic Description Logics. - José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (URSW, 2009)

Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic. - Fábio Gagliardi Cozman; Rodrigo Bellizia Polastro (UAI, 2009)

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence. - Cassio Polpo de Campos; Fábio Gagliardi Cozman; José Eduardo Ochoa Luna (J. Appl. Log., 2009)

Combining Probability and Logic. - Fábio Gagliardi Cozman; Rolf Haenni; Jan-Willem Romeijn; Federica Russo; Gregory R. Wheeler; Jon Williamson (J. Appl. Log., 2009)

Probabilistic Logic Encoding of Spatial Domains. - Paulo Eduardo Santos; Fábio Gagliardi Cozman; Valquiria Fenelon; Britta Hummel (UniDL, 2010)

Markov Decision Processes from Colored Petri Nets. - Monica Góes Eboli; Fábio Gagliardi Cozman (SBIA, 2010)

Semantic Mapping with a Probabilistic Description Logic. - Rodrigo Bellizia Polastro; Fabiano Corrêa; Fábio Gagliardi Cozman; Jun Okamoto Jr. (SBIA, 2010)

Learning Terminologies in Probabilistic Description Logics. - Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (SBIA, 2010)

Semantic Query Extension through Probabilistic Description Logics. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2010)

Learning Sentences and Assessments in Probabilistic Description Logics. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2010)

Concentration inequalities and laws of large numbers under epistemic and regular irrelevance. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2010)

Collective Classification in Semantic Mapping with a Probabilistic Description Logic. - Fabiano Corrêa; Fábio Gagliardi Cozman; Jun Okamoto Jr. (Description Logics, 2011)

Satisfiability in EL with Sets of Probabilistic ABoxes. - Marcelo Finger; Renata Wassermann; Fábio Gagliardi Cozman (Description Logics, 2011)

Crawling to Improve Multimodal Emotion Detection. - Diego R. Cueva; Rafael A. M. Gonçalves; Fábio Gagliardi Cozman; Marcos Ribeiro Pereira Barretto (MICAI (2), 2011)

Learning Probabilistic Description Logics: A Framework and Algorithms. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (MICAI (1), 2011)

Simultaneous Abstract and Concrete Reinforcement Learning. - Tiago Matos; Yannick Plaino Bergamo; Valdinei Freire da Silva; Fábio Gagliardi Cozman; Anna Helena Reali Costa (SARA, 2011)

Semantic Link Prediction through Probabilistic Description Logics. - Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (URSW, 2011)

Sequential decision making with partially ordered preferences. - Daniel Kikuti; Fábio Gagliardi Cozman; Ricardo Shirota Filho (Artif. Intell., 2011)

Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities. - Karina Valdivia Delgado; Leliane Nunes de Barros; Fábio Gagliardi Cozman; Scott Sanner (Int. J. Approx. Reason., 2011)

A Dynamic Model for Identification of Emotional Expressions. - Rafael A. M. Gonçalves; Diego R. Cueva; Marcos R. Pereira-Barretto; Fábio Gagliardi Cozman (Polibits, 2011)

An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (URSW, 2012)

Computing Inferences for Credal ALC Terminologies. - Rodrigo Bellizia Polastro; Fábio Gagliardi Cozman; Felipe I. Takiyama; Kate Revoredo (URSW, 2012)

Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011) - Fábio Gagliardi Cozman; Avi Pfeffer (CoRR, 2012)

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments - Fábio Gagliardi Cozman; Cassio Polpo de Campos; Jaime Shinsuke Ide; José Carlos Ferreira da Rocha (CoRR, 2012)

Sets of probability distributions, independence, and convexity. - Fábio Gagliardi Cozman (Synth., 2012)

Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks. - Cassio Polpo de Campos; Fábio Gagliardi Cozman (AAAI, 2013)

Speeding-up reinforcement learning through abstraction and transfer learning. - Marcelo Li Koga; Valdinei Freire da Silva; Fábio Gagliardi Cozman; Anna Helena Reali Costa (AAMAS, 2013)

Generalized Probabilistic Satisfiability. - Glauber De Bona; Fábio Gagliardi Cozman; Marcelo Finger (BRACIS, 2013)

A Qualitative-Probabilistic Approach to Autonomous Mobile Robot Self Localisation and Self Vision Calibration. - Valquiria Fenelon Pereira; Fábio Gagliardi Cozman; Paulo Eduardo Santos; Murilo Fernandes Martins (BRACIS, 2013)

Ad Network Optimization: Evaluating Linear Relaxations. - Flavio Sales Truzzi; Valdinei Freire da Silva; Anna Helena Reali Costa; Fábio Gagliardi Cozman (BRACIS, 2013)

Assertion Role in a Hybrid Link Prediction Approach through Probabilistic Ontology. - Marcius Armada de Oliveira; Kate Revoredo; José Eduardo Ochoa Luna; Fábio Gagliardi Cozman (ONTOBRAS, 2013)

Reusing Risk-Aware Stochastic Abstract Policies in Robotic Navigation Learning. - Valdinei Freire da Silva; Marcelo Li Koga; Fábio Gagliardi Cozman; Anna Helena Reali Costa (RoboCup, 2013)

Reasoning about shadows in a mobile robot environment. - Valquiria Fenelon; Paulo Eduardo Santos; Hannah M. Dee; Fábio Gagliardi Cozman (Appl. Intell., 2013)

Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2013)

A model for inference of emotional state based on facial expressions. - Rafael A. M. Gonçalves; Diego R. Cueva; Marcos Ribeiro Pereira Barretto; Fábio Gagliardi Cozman (J. Braz. Comput. Soc., 2013)

Link prediction using a probabilistic description logic. - José Eduardo Ochoa Luna; Kate Revoredo; Fábio Gagliardi Cozman (J. Braz. Comput. Soc., 2013)

Probabilistic Logic for Multi-Robot Event Recognition. - José Angelo Gurzoni Jr.; Paulo Eduardo Santos; Murilo Fernandes Martins; Fábio Gagliardi Cozman (AAAI Spring Symposia, 2014)

Inference with Aggregation Parfactors: Lifted Elimination with First-Order d-Separation. - Felipe Iwao Takiyama; Fábio Gagliardi Cozman (BRACIS, 2014)

Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Probabilistic Graphical Models, 2014)

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs. - Fábio Gagliardi Cozman; Rodrigo Bellizia Polastro; Felipe I. Takiyama; Kate C. Revoredo (URSW (LNCS Vol.), 2014)

Probabilistic Relational Reasoning in Semantic Robot Navigation. - Walter Toro; Fábio Gagliardi Cozman; Kate Revoredo; Anna Helena Reali Costa (URSW, 2014)

Logic-probabilistic model for event recognition in a robotic search and rescue scenario. - José Angelo Gurzoni; Fábio Gagliardi Cozman; Murilo Fernandes Martins; Paulo E. Santos (SMC, 2014)

Learning imprecise probability models: Conceptual and practical challenges. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2014)

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms. - Fábio Gagliardi Cozman; Cassio Polpo de Campos (Int. J. Approx. Reason., 2014)

Preface. - Ann E. Nicholson; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2014)

Towards classifying propositional probabilistic logics. - Glauber De Bona; Fábio Gagliardi Cozman; Marcelo Finger (J. Appl. Log., 2014)

Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (AAAI, 2015)

The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages. - Denis Deratani Mauá; Cassio P. de Campos; Fábio Gagliardi Cozman (IJCAI, 2015)

The Complexity of Plate Probabilistic Models. - Fábio Gagliardi Cozman; Denis Deratani Mauá (SUM, 2015)

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model. - Denis Deratani Mauá; Fábio Gagliardi Cozman (SUM, 2015)

Imprecise Probability: Theories and Applications (ISIPTA'13). - Fábio Gagliardi Cozman; Sébastien Destercke; Teddy Seidenfeld (Int. J. Approx. Reason., 2015)

Probabilistic satisfiability and coherence checking through integer programming. - Fábio Gagliardi Cozman; Lucas Fargoni di Ianni (Int. J. Approx. Reason., 2015)

Generalized probabilistic satisfiability through integer programming. - Glauber De Bona; Fábio Gagliardi Cozman; Marcelo Finger (J. Braz. Comput. Soc., 2015)

Evaluation of linear relaxations in Ad Network optimization for online marketing. - Valdinei Freire da Silva; Flavio Sales Truzzi; Anna Helena Reali Costa; Fábio Gagliardi Cozman (J. Braz. Comput. Soc., 2015)

Effect of Part-of-Speech and Lemmatization Filtering in Email Classification for Automatic Reply. - Rogerio Bonatti; Arthur G. de Paula; Victor S. Lamarca; Fábio Gagliardi Cozman (AAAI Workshop: Knowledge Extraction from Text, 2016)

Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution. - Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros; Fábio Gagliardi Cozman (BRACIS, 2016)

Image Classification Using Sum-Product Networks for Autonomous Flight of Micro Aerial Vehicles. - Bruno Massoni Sguerra; Fábio Gagliardi Cozman (BRACIS, 2016)

The Structure and Complexity of Credal Semantics. - Fábio Gagliardi Cozman; Denis Deratani Mauá (PLP@ILP, 2016)

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Probabilistic Graphical Models, 2016)

First-Order Bayesian Network Specifications Capture the Complexity Class PP. - Fábio Gagliardi Cozman (CoRR, 2016)

Fast local search methods for solving limited memory influence diagrams. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2016)

Probabilistic self-localisation on a qualitative map based on occlusions. - Paulo E. Santos; Murilo Fernandes Martins; Valquiria Fenelon; Fábio Gagliardi Cozman; Hannah M. Dee (J. Exp. Theor. Artif. Intell., 2016)

The Descriptive Complexity of Bayesian Network Specifications. - Fábio Gagliardi Cozman; Denis Deratani Mauá (ECSQARU, 2017)

The Complexity of Inferences and Explanations in Probabilistic Logic Programming. - Fábio Gagliardi Cozman; Denis Deratani Mauá (ECSQARU, 2017)

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming. - Thiago Pereira Bueno; Denis Deratani Mauá; Leliane N. de Barros; Fábio Gagliardi Cozman (ISIPTA, 2017)

Credal Sum-Product Networks. - Denis Deratani Mauá; Fábio Gagliardi Cozman; Diarmaid Conaty; Cassio P. de Campos (ISIPTA, 2017)

Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization. - Francisco Henrique Otte Vieira de Faria; Fábio Gagliardi Cozman; Denis Deratani Mauá (SUM, 2017)

Speeding-up ProbLog's Parameter Learning. - Francisco H. O. V. de Faria; Arthur C. Gusmão; Fábio Gagliardi Cozman; Denis Deratani Mauá (CoRR, 2017)

On the complexity of propositional and relational credal networks. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Int. J. Approx. Reason., 2017)

The effect of combination functions on the complexity of relational Bayesian networks. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2017)

On the Semantics and Complexity of Probabilistic Logic Programs. - Fábio Gagliardi Cozman; Denis Deratani Mauá (J. Artif. Intell. Res., 2017)

The Finite Model Theory of Bayesian Networks: Descriptive Complexity. - Fábio Gagliardi Cozman; Denis Deratani Mauá (IJCAI, 2018)

A Fully Attention-Based Information Retriever. - Alvaro Henrique Chaim Correia; Jorge Luiz Moreira Silva; Thiago de Castro Martins; Fábio Gagliardi Cozman (IJCNN, 2018)

The complexity of Bayesian networks specified by propositional and relational languages. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Artif. Intell., 2018)

Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach. - Arthur Colombini Gusmão; Alvaro Henrique Chaim Correia; Glauber De Bona; Fábio Gagliardi Cozman (CoRR, 2018)

On the Coherence of Probabilistic Relational Formalisms. - Glauber De Bona; Fábio Gagliardi Cozman (Entropy, 2018)

Evenly convex credal sets. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2018)

Robustifying sum-product networks. - Denis Deratani Mauá; Diarmaid Conaty; Fábio Gagliardi Cozman; Katja Poppenhaeger; Cassio Polpo de Campos (Int. J. Approx. Reason., 2018)

Natural Language Explanations of Classifier Behavior. - Rodrigo Monteiro de Aquino; Fábio Gagliardi Cozman (AIKE, 2019)

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods. - Leonardo Kanashiro Felizardo; Roberth Oliveira; Emilio Del-Moral-Hernandez; Fábio Gagliardi Cozman (BESC, 2019)

Automatic Summarization of Technical Documents in the Oil and Gas Industry. - João Marcos Correia Marques; Fábio Gagliardi Cozman; Ismael Humberto Ferreira dos Santos (BRACIS, 2019)

Explaining Content-Based Recommendations with Topic Models. - Gustavo Padilha Polleti; Fábio Gagliardi Cozman (BRACIS, 2019)

Explaining Completions Produced by Embeddings of Knowledge Graphs. - Andrey Ruschel; Arthur Colombini Gusmão; Gustavo Padilha Polleti; Fábio Gagliardi Cozman (ECSQARU, 2019)

The Joy of Probabilistic Answer Set Programming. - Fábio Gagliardi Cozman (ISIPTA, 2019)

Graphoid Properties of Variants of Epistemic Independence Based on Regular Conditioning. - Fábio Gagliardi Cozman (ISIPTA, 2019)

Measuring Unfairness Through Game-Theoretic Interpretability. - Juliana Cesaro; Fábio Gagliardi Cozman (PKDD/ECML Workshops (1), 2019)

The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Int. J. Approx. Reason., 2019)

Speeding up parameter and rule learning for acyclic probabilistic logic programs. - Francisco H. O. V. de Faria; Arthur Colombini Gusmão; Glauber De Bona; Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2019)

Languages for Probabilistic Modeling Over Structured and Relational Domains. - Fábio Gagliardi Cozman (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. - André Luiz Rosa Teixeira; João Campos; Rossana Cunha; Thiago Castro Ferreira; Adriana S. Pagano; Fábio Gagliardi Cozman (INLG, 2020)

Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning. - José Amendola; Lucas S. Miura; Anna Helena Reali Costa; Fábio Gagliardi Cozman; Eduardo Aoun Tannuri (IEEE Access, 2020)

The role of experts in the public perception of risk of artificial intelligence. - Hugo Neri; Fábio Gagliardi Cozman (AI Soc., 2020)

An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate. - Lucas Nunes Sequeira; Bruno Moreschi; Fábio Gagliardi Cozman; Bernardo Fontes (CoRR, 2020)

Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems. - Gustavo Padilha Polleti; Douglas Luan de Souza; Fábio Gagliardi Cozman (CoRR, 2020)

The joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. - Fábio Gagliardi Cozman; Denis Deratani Mauá (Int. J. Approx. Reason., 2020)

Complexity results for probabilistic answer set programming. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2020)

Thirty years of credal networks: Specification, algorithms and complexity. - Denis Deratani Mauá; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2020)

Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions. - Gustavo A. Bisinotto; Lucas P. Cotrim; Fábio Gagliardi Cozman; Eduardo Aoun Tannuri (BRACIS (2), 2021)

DEEPAGÉ: Answering Questions in Portuguese About the Brazilian Environment. - Flávio Nakasato Cação; Marcos Menon José; André Seidel Oliveira; Stefano Spindola; Anna Helena Reali Costa; Fábio Gagliardi Cozman (BRACIS (2), 2021)

The Future of AI: Neat or Scruffy? - Bernardo Gonçalves; Fábio Gagliardi Cozman (BRACIS (2), 2021)

mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer. - Marcelo Archanjo José; Fábio Gagliardi Cozman (BRACIS (2), 2021)

How to Generate Synthetic Paintings to Improve Art Style Classification. - Sarah Pires Pérez; Fábio Gagliardi Cozman (BRACIS (2), 2021)

Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean. - André F. A. Paschoal; Paulo Pirozelli; Valdinei Freire; Karina Valdivia Delgado; Sarajane M. Peres; Marcos M. José; Flávio Nakasato Cação; André Seidel Oliveira; Anarosa A. F. Brandão; Anna H. R. Costa; Fábio Gagliardi Cozman (CIKM, 2021)

Epistemic Argumentation with Conditional Probabilities and Labeling Constraints. - Glauber De Bona; Victor Hugo Nascimento Rocha; Fábio G. Cozman (ISIPTA, 2021)

Graphoid properties of concepts of independence for sets of probabilities. - Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2021)

Some thoughts on knowledge-enhanced machine learning. - Fábio Gagliardi Cozman; Hugo Neri Munhoz (Int. J. Approx. Reason., 2021)

Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points. - Marlon S. Mathias; Wesley P. de Almeida; Jefferson F. Coelho; Lucas P. de Freitas; Felipe M. Moreno; Caio F. D. Netto; Fábio G. Cozman; Anna Helena Reali Costa; Eduardo Aoun Tannuri; Edson S. Gomi; Marcelo Dottori (BRACIS (2), 2022)

To Answer or Not to Answer? Filtering Questions for QA Systems. - Paulo Pirozelli; Anarosa A. F. Brandão; Sarajane M. Peres; Fábio G. Cozman (BRACIS (2), 2022)

BlabKG: a Knowledge Graph for the Blue Amazon. - Pedro de M. Ligabue; Anarosa Alves Franco Brandão; Sarajane Marques Peres; Fábio Gagliardi Cozman; Paulo Pirozelli (ICKG, 2022)

A Credal Least Undefined Stable Semantics for Probabilistic Logic Programs and Probabilistic Argumentation. - Victor Hugo Nascimento Rocha; Fábio Gagliardi Cozman (KR, 2022)

Bipolar Argumentation Frameworks with Explicit Conclusions: Connecting Argumentation and Logic Programming. - Victor Hugo Nascimento Rocha; Fábio Gagliardi Cozman (NMR, 2022)

Integrating Question Answering and Text-to-SQL in Portuguese. - Marcos Menon José; Marcelo Archanjo José; Denis Deratani Mauá; Fábio Gagliardi Cozman (PROPOR, 2022)

Modeling Oceanic Variables with Dynamic Graph Neural Networks. - Caio F. D. Netto; Marcel R. de Barros; Jefferson F. Coelho; Lucas P. de Freitas; Felipe M. Moreno; Marlon S. Mathias; Marcelo Dottori; Fábio G. Cozman; Anna H. R. Costa; Edson S. Gomi; Eduardo Aoun Tannuri (CoRR, 2022)

Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests. - Felipe M. Moreno; Caio F. D. Netto; Marcel R. de Barros; Jefferson F. Coelho; Lucas P. de Freitas; Marlon S. Mathias; Luiz A. Schiaveto Neto; Marcelo Dottori; Fábio G. Cozman; Anna H. R. Costa; Edson S. Gomi; Eduardo Aoun Tannuri (CoRR, 2022)

The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory. - Paulo Pirozelli; Ais B. R. Castro; Ana Luiza C. de Oliveira; André Seidel Oliveira; Flávio Nakasato Cação; Igor Cataneo Silveira; João G. M. Campos; Laura C. Motheo; Leticia F. Figueiredo; Lucas Francisco Amaral Orosco Pellicer; Marcelo A. José; Marcos M. José; et al. (CoRR, 2022)

Comparing Computational Architectures for Automated Journalism. - Yan V. Sym; João Gabriel M. Campos; Marcos M. José; Fábio G. Cozman (CoRR, 2022)

BLAB Reporter: Automated journalism covering the Blue Amazon. - Yan V. Sym; João Gabriel M. Campos; Fábio G. Cozman (CoRR, 2022)

A Physics-Informed Neural Network to Model Port Channels. - Marlon S. Mathias; Marcel R. de Barros; Jefferson F. Coelho; Lucas P. de Freitas; Felipe M. Moreno; Caio F. D. Netto; Fábio G. Cozman; Anna H. R. Costa; Eduardo Aoun Tannuri; Edson S. Gomi; Marcelo Dottori (CoRR, 2022)

Who Killed the Winograd Schema Challenge? - Hugo Neri; Fábio G. Cozman (BRACIS (3), 2023)

Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks. - Victor Hugo Nascimento Rocha; Igor Cataneo Silveira; Paulo Pirozelli; Denis Deratani Mauá; Fábio Gagliardi Cozman (EPIA (1), 2023)

Markov conditions and factorization in logical credal networks. - Fábio Gagliardi Cozman (ISIPTA, 2023)

Specifying credal sets with probabilistic answer set programming. - Denis Deratani Mauá; Fábio Gagliardi Cozman (ISIPTA, 2023)

Credal Marginal MAP. - Radu Marinescu 002; Debarun Bhattacharjya; Junkyu Lee 001; Fábio G. Cozman; Alexander G. Gray (NeurIPS, 2023)

Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points. - Marlon Sproesser Mathias; Wesley Pereira de Almeida; Marcel Rodrigues de Barros; Jefferson Fialho Coelho; Lucas Palmiro de Freitas; Felipe Marino Moreno; Caio Fabricio Deberaldini Netto; Fábio Gagliardi Cozman; Anna Helena Reali Costa; Eduardo Aoun Tannuri; Edson Satoshi Gomi; Marcelo Dottori (CoRR, 2023)

A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention. - Marcelo Archanjo José; Fábio Gagliardi Cozman (CoRR, 2023)

dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning. - Renato Lui Geh; Jonas Gonçalves; Igor Cataneo Silveira; Denis Deratani Mauá; Fábio Gagliardi Cozman (CoRR, 2023)

Should explainability be a fifth ethical principle in AI ethics? - João Figueiredo Nobre Brito Cortese; Fábio Gagliardi Cozman; Marcos Paulo Lucca-Silveira; Adriano Figueiredo Bechara (AI Ethics, 2023)

Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing. - Marcel R. de Barros; Andressa Pinto; Andres Monroy; Felipe M. Moreno; Jefferson F. Coelho; Aldomar Pietro Silva; Caio Fabricio Deberaldini Netto; José Roberto Leite; Marlon S. Mathias; Eduardo Aoun Tannuri; Artur Jordão; Edson S. Gomi; et al. (AAAI, 2024)

Question Answering with Texts and Tables Through Deep Reinforcement Learning. - Marcos M. José; Flávio Nakasato Cação; Maria F. Ribeiro; Rafael M. Cheang; Paulo Pirozelli; Fábio G. Cozman (BRACIS (2), 2024)

Legal Document-Based, Domain-Driven Q&A System: LLMs in Perspective. - Felipe Oliveira do Espírito Santo; Sarajane Marques Peres; Givanildo de Sousa Gramacho; Anarosa Alves Franco Brandão; Fábio Gagliardi Cozman (IJCNN, 2024)

dPASP: A Probabilistic Logic Programming Environment For Neurosymbolic Learning and Reasoning. - Renato Lui Geh; Jonas Gonçalves; Igor Cataneo Silveira; Denis Deratani Mauá; Fábio G. Cozman (KR, 2024)

Assessing Logical Reasoning Capabilities of Encoder-Only Transformer Models. - Paulo Pirozelli; Marcos M. José; Paulo de Tarso P. Filho; Anarosa A. F. Brandão; Fábio G. Cozman (NeSy (1), 2024)

Abductive Reasoning in Logical Credal Networks. - Radu Marinescu 002; Junkyu Lee 001; Debarun Bhattacharjya; Fábio G. Cozman; Alexander G. Gray (NeurIPS, 2024)

Probabilistic Logic Programming under the L-Stable Semantics. - Denis Deratani Mauá; Fábio G. Cozman; Alexandro Garces (NMR, 2024)

Infusing Prompts with Syntax and Semantics. - Anton Bulle Labate; Fábio Gagliardi Cozman (CoRR, 2024)

Applying a Context-based Method to Build a Knowledge Graph for the Blue Amazon. - Pedro de M. Ligabue; Anarosa Alves Franco Brandão; Sarajane Marques Peres; Fábio Gagliardi Cozman; Paulo Pirozelli (Data Intell., 2024)

Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change. - Paulo Pirozelli; Marcos M. José; Igor Cataneo Silveira; Flávio Nakasato Cação; Sarajane M. Peres; Anarosa A. F. Brandão; Anna H. R. Costa; Fábio G. Cozman (Data Intell., 2024)

Markov conditions and factorization in logical credal networks. - Fábio G. Cozman; Radu Marinescu 002; Junkyu Lee 001; Alexander G. Gray; Ryan Riegel; Debarun Bhattacharjya (Int. J. Approx. Reason., 2024)

Explaining answers generated by knowledge graph embeddings. - Andrey Ruschel; Arthur Colombini Gusmão; Fábio Gagliardi Cozman (Int. J. Approx. Reason., 2024)

Dealing with cycles in graph-based probabilistic models: the case of Logical Credal Networks. - Fábio G. Cozman; Radu Marinescu 002; Junkyu Lee 001; Alexander Gray 001; Denis Deratani Mauá (ISIPTA, 2025)

A Study of Modus Ponens in Transformer Models. - Paulo Pirozelli; Fábio G. Cozman (NeuS, 2025)

Improving current forecast by Leveraging Measured Data and numerical models via LiESNs. - Felipe M. Moreno; Marcel R. de Barros; Artur Jordão; Marlon S. Mathias; Marcelo Dottori; Anna Helena Reali Costa; Edson S. Gomi; Fábio G. Cozman; Eduardo Aoun Tannuri (Environ. Model. Softw., 2025)

A RAG-Based Institutional Assistant. - Gustavo Kuratomi; Paulo Pirozelli; Fábio Gagliardi Cozman; Sarajane M. Peres (CoRR, 2025)

Generating explanations for knowledge-aware conversational recommendation systems. - Gustavo Padilha Polleti; Douglas Luan de Souza; Fábio G. Cozman (User Model. User Adapt. Interact., 2025)