Fabio Gagliardi Cozman

Fabio Gagliardi Cozman, Rodrigo Monteiro de Aquino, Rodrigo Monteiro de Aquino, 2019, 2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE).

Semi-Supervised Learning of Mixture Models and Bayesian Networks

Fabio Gagliardi Cozman, Ira Cohen, Marcelo Cesar Cirelo, 2003 .

Safeguarded Teleoperation for Lunar Rovers

Fabio Gagliardi Cozman, Eric Krotkov, Sven Koenig, 1996 .

Modeling of failure treatment in manufacturing systems through Petri nets

Fabio Gagliardi Cozman, N. Maruyama, Luis A. M. Riascos, 1998 .

Explaining Completions Produced by Embeddings of Knowledge Graphs

Fabio Gagliardi Cozman, Arthur Colombini Gusmão, Gustavo Padilha Polleti, 2019, ECSQARU.

IDS: A Divide-and-Conquer Algorithm for Inference in Polytree-Shaped Credal Networks

Fabio Gagliardi Cozman, J. C. F. da Rocha, C. P. de Campos, 2005 .

The effect of unlabeled data on generative classifiers, with application to model selection

Fabio Gagliardi Cozman, Ira Cohen, Alexandre Bronstein, 2002 .

Mixed-Mode Control of Navigation for a Lunar Rover

Martial Hebert, Fabio Gagliardi Cozman, Eric Krotkov, 1999 .

Embedded Bayesian Networks: Anyspace, Anytime Probabilistic Inference

Fabio Gagliardi Cozman, Fabio Ramos, Jaime S. Ide, 2002 .

ISIPTA '05, Proceedings of the Fourth International Symposium on Imprecise Probabilities and Their Applications, Carnegie Mellon University, Pittsburgh, PA, USA, July 20-23 2005

Fabio Gagliardi Cozman, Robert F. Nau, Teddy Seidenfeld, 2005, ISIPTA.

Adaptive Online Learning of Bayesian Network Parameters

Fabio Gagliardi Cozman, Ira Cohen, Alexandre Bronstein, 2001 .

Imprecise Probability: Theories and Applications

Sébastien Destercke, Fabio Gagliardi Cozman, Teddy Seidenfeld, 2014 .

Trajectory control for a mobile robot

Fabio Gagliardi Cozman, Paulo Eigi Miyagi, E B Nigro, 1993 .

Sea State Estimation with Neural Networks Based on the Motion of a Moored FPSO Subjected to Campos Basin Metocean Conditions

Fabio Gagliardi Cozman, Eduardo A. Tannuri, Gustavo A. Bisinotto, 2021, BRACIS.

The Future of AI: Neat or Scruffy?

Fabio Gagliardi Cozman, Bernardo Gonçalves, 2021, BRACIS.

mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer pdf

Fabio Gagliardi Cozman, Marcelo Archanjo Jos'e, M. A. Jos'e, 2021, BRACIS.

Fast software image stabilization with color registration

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

Bucket-Tree Elimination for Automated Reasoning

Fabio Gagliardi Cozman, R. Dechter, J. Larrosa, 2001 .

Truncated Gaussians as tolerance sets

Fabio Gagliardi Cozman, E. Krotkov, 1994 .

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Ira Cohen, 2002, FLAIRS.

Experience with rover navigation for lunar-like terrains

William Whittaker, Martial Hebert, Reid G. Simmons, 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

The Inferential Complexity of Bayesian and Credal Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, IJCAI.

Safeguarded Teleoperation for Lunar Rovers: From Human Factors to Field Trials

Fabio Gagliardi Cozman, R. Simmons, E. Krotkov, 1999 .

Semisupervised learning of classifiers: theory, algorithms, and their application to human-computer interaction

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Managing Trust in Virtual Communities with Markov Logic

Fabio Gagliardi Cozman, D. Mauá, 2022 .

Dealing with Semantic Knowledge in Robotics with a Probabilistic Description Logic

Fabio Gagliardi Cozman, J. Okamoto, F. Corrêa, 2010 .

Probabilistic Description Logics for Context Awareness in Mobile Robotics : A Case Study in Imprecisely Specified Probabilities

Fabio Gagliardi Cozman, R. B. Polastro, 2009 .

Sets of Probability Distributions and Independence

Fabio Gagliardi Cozman, 2008 .

Independence for Full Conditional Measures and their Graphoid Properties

Fabio Gagliardi Cozman, Teddy Seidenfeld, 2008 .

Compact Representations of Markov Decision Processes and Their Application to Printer Management

Fabio Gagliardi Cozman, J. V. Torres, Andr é Rodrigues, 2007 .

Encoding Spatial Domains with Relational Bayesian Networks

Fabio Gagliardi Cozman, P. Santos, B. Hummel, 2013 .

Encoding Spatial Domains with Relational Bayesian Networks 1

Fabio Gagliardi Cozman, P. Santos, B. Hummel, 2011 .

Independence for Full Conditional Measures, Graphoids and Bayesian Networks

Fabio Gagliardi Cozman, Teddy Seidenfeld, 2007 .

Learning Probabilistic Relational Models : A Simplified Framework , a Case Study , and a Package

Fabio Gagliardi Cozman, L. H. Mormille, 2017 .

Workshop Organization Programme Chairs Programme Committee External Reviewers Swrl-f -a Fuzzy-logic Extension of the Semantic Web Rule Language . 97 Description Logics over Multisets

Jeff Z. Pan, Kathryn B. Laskey, Rommel N. Carvalho, 2022 .

The Winograd Schemas from Hell

Fabio Gagliardi Cozman, H. Munhoz, Fábio Cozman, 2020 .

LEARNING CLASSIFIERS WITH MARKOV LOGIC NETWORKS

Fabio Gagliardi Cozman, R. B. Polastro, V. A. Silva, 2008 .

Testing MCMC algorithms with randomly generated Bayesian networks

Fabio Gagliardi Cozman, Jaime S. Ide, Fabio G. Cozman, 2002 .

Concentration Inequalities and Laws of Large Numbers under Irrelevance of Lower and Upper Expectations

Fabio Gagliardi Cozman, 2009 .

Concentration Inequalities and Laws of Large Numbers under Epistemic Irrelevance

Fabio Gagliardi Cozman, 2008, 0810.2821.

Influence diagrams with partially ordered preferences

Fabio Gagliardi Cozman, Daniel Kikuti, Daniel Kikuti, 2007 .

The Well-Founded Semantics of Cyclic Probabilistic Logic Programs : Meaning and Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, D. Mauá, 2016 .

Computing with Sets of Probability Measures

Fabio Gagliardi Cozman, Cassio Polpo de Campos, J. C. F. D. Rocha, 2002 .

Robustness Analysis of Bayesian Networks with Finitely Generated Convex Sets of Distributions

Fabio Gagliardi Cozman, Fabio Cozman, CMU-RI-TR, 1997 .

The SIPTA Newsletter

Fabio Gagliardi Cozman, 2005 .

Alternatives to Lavine's algorithm for calculation of posterior bounds given convex sets of distributions

Fabio Gagliardi Cozman, 1997 .

A Derivation of Quasi-Bayesian Theory

Fabio Gagliardi Cozman, Fabio Cozman, 1997 .

An Informal Introduction to Quasi-Bayesian Theory (and Lower Probability, Lower Expectations, Choquet Capacities, Robust Bayesian Methods, etc...) for AI

Fabio Gagliardi Cozman, 2022 .

Truncated Gaussians as Tolerance

Fabio Gagliardi Cozman, E. Krotkov, CMU-RI-TR, 1994 .

Set-Based Variational Methods in Credal Networks: the SV2U Algorithm

Fabio Gagliardi Cozman, Jaime Shinsuke Ide, 2005 .

Bayesian Networks of Bounded Treewidth: A Performance Analysis

Fabio Gagliardi Cozman, D. Mauá, Fabio H. S. Machado, 2015 .

Determinação da emoção demonstrada pelo interlocutor

Fabio Gagliardi Cozman, D. Cueva, R. Gonçalves, 2011 .

Algorithms for Approximated Inference with Credal Networks

Fabio Gagliardi Cozman, Cassio P. de Campos, J. C. F. D. Rocha, 2003 .

Learning Convex Sets of Probability from DataFabio Cozman Lonnie

Fabio Gagliardi Cozman, L. Chrisman, 1997 .

Independence in Relational Languages with Finite Domains

Fabio Gagliardi Cozman, José Eduardo Ochoa Luna, Cassio P. de Campos, 2007 .

Independence Relations in Probabilistic Logic ( Extended Abstract )

Fabio Gagliardi Cozman, José Eduardo Ochoa Luna, Cassio P. de Campos, 2007 .

Factored Markov Decision Processes with Imprecise Probabilities : a multilinear solution

Fabio Gagliardi Cozman, L. N. Barros, 2008 .

Classification of Laser and Visual Sensors Using Associative Markov Networks

Fabio Gagliardi Cozman, José Angelo Gurzoni, F. Corrêa, 2012 .

Semi-supervised Learning of Classifiers : Theory and Algorithms for Bayesian Network Classifiers and Applicatio ns to Human-Computer Interaction

Fabio Gagliardi Cozman, Thomas S. Huang, I. Cohen, 2003 .

Encoding the Consistency of Relational Bayesian Networks

Fabio Gagliardi Cozman, Glauber De Bona, 2017 .

Explanations within Conversational Recommendation Systems: Improving Coverage through Knowledge Graph Embeddings

Fabio Gagliardi Cozman, Gustavo Padilha Polleti, H. Munhoz, 2020 .

MODELING MANUFACTURING SYSTEMS WITH STOCHASTIC PETRI NETS AND MARKOV DECISION PROCESSES WITH IMPRECISE PROBABILITIES : THEORY AND APPLICATION IN THE AUTOMOTIVE INDUSTRY

Fabio Gagliardi Cozman, M. G. Eboli, 2008 .

A Fully Attention-Based Information Retriever

Fabio Gagliardi Cozman, Jorge Luiz Moreira Silva, Alvaro H. C. Correia, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Robustifying sum-product networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2018, Int. J. Approx. Reason..

A Genetic Risk System for Genetic Counselors

Fabio Gagliardi Cozman, Peter Szolovits, D. Nigrin, 2013 .

Risks of Semi-Supervised Learning: How Unlabeled Data Can Degrade Performance of Generative Classifiers

Fabio Gagliardi Cozman, Ira Cohen, Fabio Gagliardi Cozman, 2006, Semi-Supervised Learning.

Semi-supervised Learning of Classifiers : Theory , Algorithms and Their Application to Human-Computer Interaction

Fabio Gagliardi Cozman, Thomas S. Huang, N. Sebe, 2004 .

Bipolar Argumentation Frameworks with Explicit Conclusions: Connecting Argumentation and Logic Programming

Fabio Gagliardi Cozman, Victor Hugo Nascimento Rocha, 2022, NMR.

Editorial: Reasoning with imprecise probabilities

Fabio Gagliardi Cozman, Thomas Lukasiewicz, A. Cano, 2007 .

Constructing Sets of Probability Measures Through Kuznetsov's Independence Condition

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2001, ISIPTA.

On the imprecision of full conditional probabilities

Fabio Gagliardi Cozman, G. Wheeler, 2021, Synthese.

Sets of probability distributions, independence, and convexity

Fabio Gagliardi Cozman, 2012, Synthese.

The Joy of Probabilistic Answer Set Programming

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2019, ISIPTA.

The Finite Model Theory of Bayesian Networks: Descriptive Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2018, IJCAI.

On the Coherence of Probabilistic Relational Formalisms

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Glauber De Bona, 2018, Entropy.

Speeding-up ProbLog's Parameter Learning pdf

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ArXiv.

The Descriptive Complexity of Bayesian Network Specifications

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ECSQARU.

On the complexity of propositional and relational credal networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, Int. J. Approx. Reason..

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, SUM.

Bayesian Networks Specified Using Propositional and Relational Constructs: Combined, Data, and Domain Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, AAAI.

Satisfiability in EL with Sets of Probabilistic ABoxes

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marcelo Finger, 2011, Description Logics.

Complexity Analysis and Variational Inference for Interpretation-based Probabilistic Description Logic

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Rodrigo Bellizia Polastro, 2009, UAI.

Loopy Propagation in a Probabilistic Description Logic

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Rodrigo Bellizia Polastro, 2008, SUM.

Solutions to Factored MDPs with Imprecise Transition Probabilities 1

Scott Sanner, Fabio Gagliardi Cozman, Karina Valdivia Delgado, 2011 .

Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Mixed Probabilistic and Nondeterministic Factored Planning through Markov Decision Processes with Set-Valued Transitions

Fabio Gagliardi Cozman, Felipe W. Trevizan, Fábio G. Cozman, 2008 .

Reusing Risk-Aware Stochastic Abstract Policies in Robotic Navigation Learning

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Anna Helena Reali Costa, 2013, RoboCup.

Logic-probabilistic model for event recognition in a robotic search and rescue scenario

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Paulo E. Santos, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Sequential decision making with partially ordered preferences

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Ricardo Shirota Filho, 2011, Artif. Intell..

Probabilistic logic with independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2008, Int. J. Approx. Reason..

Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 1997, UAI.

A Few Notes on Sets of Probability Distributions

Fabio Gagliardi Cozman, 2008 .

Graphical models for imprecise probabilities

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2005, Int. J. Approx. Reason..

Credal networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2000, Artif. Intell..

Computing posterior upper expectations

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2000, Int. J. Approx. Reason..

Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1996, UAI.

Learning Convex Sets of Probability from Data

Fabio Gagliardi Cozman, Lonnie Chrisman, Fabio Cozman, 2022 .

Simultaneous Abstract and Concrete Reinforcement Learning

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Anna Helena Reali Costa, 2011, SARA.

Semi-Supervised Learning of Mixture Models

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Ira Cohen, 2003, ICML.

Computing Inferences for Credal ALC Terminologies

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2012, URSW.

Automatic mountain detection and pose estimation for teleoperation of lunar rovers

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1997, Proceedings of International Conference on Robotics and Automation.

Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities

Scott Sanner, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2011, Int. J. Approx. Reason..

Planning under Risk and Knightian Uncertainty

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Felipe W. Trevizan, 2007, IJCAI.

Unifying Nondeterministic and Probabilistic Planning Through Imprecise Markov Decision Processes

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Felipe W. Trevizan, 2006, IBERAMIA-SBIA.

On the Semantics and Complexity of Probabilistic Logic Programs

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, J. Artif. Intell. Res..

Epistemic Argumentation with Conditional Probabilities and Labeling Constraints

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Glauber De Bona, 2021, ISIPTA.

Generalized probabilistic satisfiability through integer programming

Fabio Gagliardi Cozman, Glauber De Bona, M. Finger, 2015, Journal of the Brazilian Computer Society.

Generalized Probabilistic Satisfiability

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marcelo Finger, 2013, 2013 Brazilian Conference on Intelligent Systems.

Probabilistic satisfiability and coherence checking through integer programming

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Lucas Fargoni di Ianni, 2013, Int. J. Approx. Reason..

Link prediction using a probabilistic description logic

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2013, Journal of the Brazilian Computer Society.

Assertion Role in a Hybrid Link Prediction Approach through Probabilistic Ontology

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2013, ONTOBRAS.

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2004, UAI.

Learning Probabilistic Description Logics: A Framework and Algorithms

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2011, MICAI.

Assembling a consistent set of sentences in relational probabilistic logic with stochastic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2009, J. Appl. Log..

Depth from scattering

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

The Complexity of MAP Inference in Bayesian Networks Specified Through Logical Languages

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2015, IJCAI.

Markov Decision Processes from Colored Petri Nets

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Monica Góes Eboli, 2010, SBIA.

IPE and L2U: approximate algorithms for credal networks

Fabio Gagliardi Cozman, Jaime S. Ide, Fabio G. Cozman, 2004 .

Inference in Polytrees with Sets of Probabilities pdf

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2002, UAI.

Inference in Credal Networks with Branch-and-Bound Algorithms

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Carlos Ferreira da Rocha, 2003, ISIPTA.

Inference with Seperately Specified Sets of Probabilities in Credal Networks pdf

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Carlos Ferreira da Rocha, 2002, UAI.

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2013, URSW.

Independence for full conditional probabilities: Structure, factorization, non-uniqueness, and Bayesian networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2013, Int. J. Approx. Reason..

Concentration inequalities and laws of large numbers under epistemic and regular irrelevance

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2010, Int. J. Approx. Reason..

Probabilistic Logic with Strong Independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2006, IBERAMIA-SBIA.

Evenly Convex Credal Sets

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ISIPTA.

The role of experts in the public perception of risk of artificial intelligence

Fabio Gagliardi Cozman, Fabio Cozman, Hugo Neri, 2019, AI & SOCIETY.

Automated Emergency Room Triage: Helping Patients Get the Best Treatment

Fabio Gagliardi Cozman, Alexandre Inoue, M. Prado, 2020 .

A model for inference of emotional state based on facial expressions

Fabio Gagliardi Cozman, Diego R. Cueva, R. A. Gonçalves, 2013, Journal of the Brazilian Computer Society.

Crawling to Improve Multimodal Emotion Detection

Fabio Gagliardi Cozman, Diego R. Cueva, Rafael A. M. Gonçalves, 2011, MICAI.

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2014, Int. J. Approx. Reason..

Speeding up parameter and rule learning for acyclic probabilistic logic programs

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2019, Int. J. Approx. Reason..

Towards classifying propositional probabilistic logics

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marcelo Finger, 2014, J. Appl. Log..

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages pdf

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Artif. Intell..

An Algorithm for Learning with Probabilistic Description Logics

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2009, URSW.

Anytime anyspace probabilistic inference

Fabio Gagliardi Cozman, Fabio Ramos, Fabio Gagliardi Cozman, 2004, Int. J. Approx. Reason..

Axiomatizing Noisy-OR

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2004, ECAI.

Credal Sum-Product Networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2017, ISIPTA.

The effect of combination functions on the complexity of relational Bayesian networks

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Int. J. Approx. Reason..

Probabilistic Graphical Models Specified by Probabilistic Logic Programs: Semantics and Complexity

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Probabilistic Graphical Models.

Binarization Algorithms for Approximate Updating in Credal Nets

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2006, STAIRS.

A Dynamic Model for Identification of Emotional Expressions

Fabio Gagliardi Cozman, Diego R. Cueva, Rafael A. M. Gonçalves, 2011, Polibits.

Should explainability be a fifth ethical principle in AI ethics?

Fabio Gagliardi Cozman, J. F. N. Cortese, Marcos Paulo de Lucca-Silveira, 2022, AI and Ethics.

Generation of Random Bayesian Networks with Constraints on Induced Width , with Application to the Average Analysis of d-Connectivity , Quasi-random Sampling , and Loopy Propagation

Fabio Gagliardi Cozman, Jaime S. Ide, Fabio G. Cozman, 2003 .

A Qualitative-Probabilistic Approach to Autonomous Mobile Robot Self Localisation and Self Vision Calibration

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Paulo E. Santos, 2013, 2013 Brazilian Conference on Intelligent Systems.

Reasoning about shadows in a mobile robot environment

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Hannah M. Dee, 2013, Applied Intelligence.

Probabilistic self-localisation on a qualitative map based on occlusions

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Hannah M. Dee, 2016, J. Exp. Theor. Artif. Intell..

Speeding-up reinforcement learning through abstraction and transfer learning

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Anna Helena Reali Costa, 2013, AAMAS.

Measuring Unfairness through Game-Theoretic Interpretability

Fabio Gagliardi Cozman, Fabio G. Cozman, Juliana Cesaro, 2019, PKDD/ECML Workshops.

Fast local search methods for solving limited memory influence diagrams

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, Int. J. Approx. Reason..

Robot localization using a computer vision sextant

Fabio Gagliardi Cozman, Eric Krotkov, Fábio Gagliardi Cozman, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

Learning Bayesian network classifiers for facial expression recognition both labeled and unlabeled data

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

Fabio Gagliardi Cozman, A. Oliveira, A. H. R. Costa, 2021, BRACIS.

Learning probabilistic classifiers for human–computer interaction applications

Nicu Sebe, Thomas S. Huang, Theo Gevers, 2005, Multimedia Systems.

Effect of Part-of-Speech and Lemmatization Filtering in Email Classification for Automatic Reply

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Rogerio Bonatti, 2016, AAAI Workshop: Knowledge Extraction from Text.

dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning

Fabio Gagliardi Cozman, Renato Lui Geh, D. Mauá, 2023, 2308.02944.

A Credal Least Undefined Stable Semantics for Probabilistic Logic Programs and Probabilistic Argumentation

Fabio Gagliardi Cozman, Victor Hugo Nascimento Rocha, 2022, KR.

Towards Fully Automated News Reporting in Brazilian Portuguese

Thiago Castro Ferreira, Fabio Gagliardi Cozman, A. Pagano, 2020 .

Applying imprecise probabilities to radioactive waste repository siting

Fabio Gagliardi Cozman, J. C. F. Pujol, S. J. Campos, 2009 .

The impact of teenage pregnancy on school dropout in Brazil: a Bayesian network approach

Fabio Gagliardi Cozman, A. Takiuti, Emerson Cruz, 2021, BMC Public Health.

An Experimental Evaluation of a Scalable Probabilistic Description Logic Approach for Semantic Link Prediction

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2012, URSW.

Semantic Link Prediction through Probabilistic Description Logics

Kate Revoredo, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2011, URSW.

Approximate algorithms for credal networks with binary variables

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2008, Int. J. Approx. Reason..

Preface

Ann E. Nicholson, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2014, International Journal of Approximate Reasoning.

Generating Random Bayesian Networks with Constraints on Induced Width

Fabio Gagliardi Cozman, Fabio Tozeto Ramos, Fábio Gagliardi Cozman, 2004, ECAI.

Evidence Propagation in Credal Networks: An Exact Algorithm Based on Separately Specified Sets of Probability

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Carlos Ferreira da Rocha, 2002, SBIA.

To appear , Workshop on Probabilistic Reasoning in Artificial Intelligence , Atibaia , Brazil , November 20 , 2000 Generalizing Variable Elimination in Bayesian Networks

Fabio Gagliardi Cozman, FABIO GAGLIARDI COZMAN, 2000 .

Ad Network Optimization: Evaluating Linear Relaxations

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Anna Helena Reali Costa, 2013, 2013 Brazilian Conference on Intelligent Systems.

Special Issue on Combining Probability and Logic Introduction

Fabio Gagliardi Cozman, R. Haenni, Jon Williamson, 2007 .

Semi-supervised learning for facial expression recognition

Nicu Sebe, Thomas S. Huang, Fabio Gagliardi Cozman, 2003, MIR '03.

Semi-supervised Learning of Classifiers : Theory , Algorithms for Bayesian Network Classifiers and Application to Human-Computer Interaction

Nicu Sebe, Fabio Gagliardi Cozman, Ira Cohen, 2003 .

A Toolset for Propositional Probabilistic Logic

Fabio Gagliardi Cozman, Fabio G. Cozman, André da Costa Teves, 2022 .

Speeding Up k-Neighborhood Local Search in Limited Memory Influence Diagrams

Denis Deratani Mauá, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2014, Probabilistic Graphical Models.

Notes on "Notes on conditional previsions"

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2007, Int. J. Approx. Reason..

Algorithms for Conditioning on Events of Zero Lower Probability

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2002, FLAIRS.

Inference in Probabilistic Ontologies with Attributive Concept Descriptions and Nominals

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Rodrigo Bellizia Polastro, 2008, URSW.

Computing lower and upper expectations under epistemic independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2007, Int. J. Approx. Reason..

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2005, UAI.

Inference in credal networks: branch-and-bound methods and the A/R+ algorithm

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, José Carlos Ferreira da Rocha, 2005, Int. J. Approx. Reason..

Separation Properties of Sets of Probability Measures

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2000, UAI.

Strong Probabilistic Planning

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Leliane Nunes de Barros, 2008, MICAI.

Evaluation of linear relaxations in Ad Network optimization for online marketing

Fabio Gagliardi Cozman, Anna Helena Reali Costa, Flavio Sales Truzzi, 2015, Journal of the Brazilian Computer Society.

Graphoid properties of epistemic irrelevance and independence

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Peter Walley, 2005, Annals of Mathematics and Artificial Intelligence.

Reasoning with imprecise probabilities

Thomas Lukasiewicz, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2000, Int. J. Approx. Reason..

Image Classification Using Sum-Product Networks for Autonomous Flight of Micro Aerial Vehicles

Bruno Massoni Sguerra, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

International Journal of Approximate Reasoning

Fabio Gagliardi Cozman, Glauber De Bona, D. Mauá, 2022 .

Random Generation of Bayesian Networks

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2002, SBIA.