Fábio Gagliardi Cozman

发表

Crawling to Improve Multimodal Emotion Detection

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

Satisfiability in EL with Sets of Probabilistic ABoxes

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

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

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

Probabilistic logic with independence

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

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..

Random Generation of Bayesian Networks

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

Learning Probabilistic Description Logics: A Framework and Algorithms

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

Industrial applications of image mosaicing and stabilization

Fábio Gagliardi Cozman, Carlos Guestrin, Marcelo Godoy Simões, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

Unlabeled Data Can Degrade Classification Performance of Generative Classifiers

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

Reasoning with imprecise probabilities

Fábio Gagliardi Cozman, Serafín Moral, 2000, Int. J. Approx. Reason..

Ad Network Optimization: Evaluating Linear Relaxations

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

Complexity results for probabilistic answer set programming

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2020, Int. J. Approx. Reason..

A Fully Attention-Based Information Retriever

Fábio Gagliardi Cozman, Thiago de Castro Martins, Alvaro Henrique Chaim Correia, 2018, IJCNN.

Notes on "Notes on conditional previsions"

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2007, 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.

Simultaneous Abstract and Concrete Reinforcement Learning

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

On the complexity of propositional and relational credal networks

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

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

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

Semantic Mapping with a Probabilistic Description Logic

Fábio Gagliardi Cozman, Jun Okamoto, Rodrigo Bellizia Polastro, 2010, SBIA.

Closed-Form Solutions in Learning Probabilistic Logic Programs by Exact Score Maximization

Denis Deratani Mauá, Fábio Gagliardi Cozman, Francisco Henrique Otte Vieira de Faria, 2017, SUM.

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.

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).

Combining Probability and Logic

Federica Russo, Fábio Gagliardi Cozman, Jan-Willem Romeijn, 2009, J. Appl. Log..

Outdoor Visual Position Estimation for Planetary Rovers

Eric Krotkov, Fábio Gagliardi Cozman, Carlos Guestrin, 2000, Auton. Robots.

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..

Inference in Probabilistic Ontologies with Attributive Concept Descriptions and Nominals

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

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

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

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..

Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming

Denis Deratani Mauá, Fábio Gagliardi Cozman, Leliane Nunes de Barros, 2017, ISIPTA.

Probabilistic logic for multi-robot event recognition

Fábio Gagliardi Cozman, Paulo E. Santos, Murilo Fernandes Martins, 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

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..

Generalized Probabilistic Satisfiability

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

Evaluation of linear relaxations in Ad Network optimization for online marketing

Fábio Gagliardi Cozman, Anna Helena Reali Costa, Valdinei Freire da Silva, 2015, Journal of the Brazilian Computer Society.

Learning probabilistic classifiers for human–computer interaction applications

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

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

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

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

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

Depth from scattering

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

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitat

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

Sequential decision making with partially ordered preferences

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

Inference in Credal Networks with Branch-and-Bound Algorithms

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

Speeding-up ProbLog's Parameter Learning pdf

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

DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model

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

Speeding-up reinforcement learning through abstraction and transfer learning

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

Loopy Propagation in a Probabilistic Description Logic

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

Learning imprecise probability models: Conceptual and practical challenges

Fábio Gagliardi Cozman, 2014, Int. J. Approx. Reason..

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.

Credal networks

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

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.

Inference with Seperately Specified Sets of Probabilities in Credal Networks pdf

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

Evenly Convex Credal Sets

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

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..

Strong Probabilistic Planning

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

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.

Robustifying sum-product networks

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

Axiomatizing Noisy-OR

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

Computing Inferences for Credal ALC Terminologies

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

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

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

Computing lower and upper expectations under epistemic independence

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

Learning Sentences and Assessments in Probabilistic Description Logics

Kate Revoredo, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2010, URSW.

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 Complexity of Inferences and Explanations in Probabilistic Logic Programming

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

Graphical models for imprecise probabilities

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

Graphoid properties of epistemic irrelevance and independence

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

Generating Random Bayesian Networks with Constraints on Induced Width

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

On the Coherence of Probabilistic Relational Formalisms

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

Semantic Link Prediction through Probabilistic Description Logics

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

Reasoning about shadows in a mobile robot environment

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

Probabilistic Logic Encoding of Spatial Domains

Fábio Gagliardi Cozman, Paulo E. Santos, Britta Hummel, 2010, UniDL.

A Dynamic Model for Identification of Emotional Expressions

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

An Algorithm for Learning with Probabilistic Description Logics

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

Constructing Sets of Probability Measures Through Kuznetsov's Independence Condition

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

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

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

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

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

Irrelevance and Independence Relations in quasi-Bayesian Networks

Fábio Gagliardi Cozman, 1998, UAI.

Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions

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

Planning under Risk and Knightian Uncertainty

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

Separation Properties of Sets of Probability Measures

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

The Joy of Probabilistic Answer Set Programming

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

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).

Approximate Inference in Credal Networks by Variational Mean Field Methods

Fábio Gagliardi Cozman, Jaime Shinsuke Ide, 2005, ISIPTA.

Assertion Role in a Hybrid Link Prediction Approach through Probabilistic Ontology

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

The Inferential Complexity of Bayesian and Credal Networks

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

Computing posterior upper expectations

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

Irrelevance and Independence Axioms in Quasi-Bayesian Theory

Fábio Gagliardi Cozman, 1999, ESCQARU.

A model for inference of emotional state based on facial expressions

Diego R. Cueva, Rafael A. M. Gonçalves, Fábio Gagliardi Cozman, 2012, Journal of the Brazilian Computer Society.

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).

Approximate algorithms for credal networks with binary variables

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

Probabilistic Relational Reasoning in Semantic Robot Navigation

Kate Revoredo, Fábio Gagliardi Cozman, Anna Helena Reali Costa, 2014, URSW.

Automatic Mountain Detection and Pose Estimation for Teleoperation of Lunar Rovers

Eric Krotkov, Fábio Gagliardi Cozman, 1997, ISER.

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..

Semi-supervised learning for facial expression recognition

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

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).

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..

On the Semantics and Complexity of Probabilistic Logic Programs

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

Imprecise Probability: Theories and Applications (ISIPTA'13)

Sébastien Destercke, Fábio Gagliardi Cozman, Teddy Seidenfeld, 2015, Int. J. Approx. Reason..

Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence (2011) pdf

Fábio Gagliardi Cozman, Avi Pfeffer, 2012, ArXiv.

The Structure and Complexity of Credal Semantics

Denis Deratani Mauá, Fábio Gagliardi Cozman, 2016, PLP@ILP.

The Descriptive Complexity of Bayesian Network Specifications

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

Learning Terminologies in Probabilistic Description Logics

Kate Revoredo, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2010, SBIA.

Fast local search methods for solving limited memory influence diagrams

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

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.

Probabilistic Logic with Strong Independence

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

Collective Classification in Semantic Mapping with a Probabilistic Description Logic

Fábio Gagliardi Cozman, Jun Okamoto, Fabiano Corrêa, 2011, Description Logics.

Reasoning with imprecise probabilities

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

Generalized probabilistic satisfiability through integer programming

Fábio Gagliardi Cozman, Marcelo Finger, Glauber De Bona, 2015, Journal of the Brazilian Computer Society.

Semi-Supervised Learning of Mixture Models

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

Reusing Risk-Aware Stochastic Abstract Policies in Robotic Navigation Learning

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

Unifying Nondeterministic and Probabilistic Planning Through Imprecise Markov Decision Processes

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

Computing Inferences for Relational Bayesian Networks Based on ALC Constructs

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

The Finite Model Theory of Bayesian Networks: Descriptive Complexity

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

Binarization Algorithms for Approximate Updating in Credal Nets

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

The Complexity of Plate Probabilistic Models

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

Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach pdf

Fábio Gagliardi Cozman, Glauber De Bona, Arthur Colombini Gusmão, 2018, ICML 2018.

Towards classifying propositional probabilistic logics

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

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

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

Preface

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

Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05

Vladik Kreinovich, Olga Kosheleva, Fábio Gagliardi Cozman, 2006, Reliab. Comput..

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.

Markov Decision Processes from Colored Petri Nets

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

Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks

Fábio Gagliardi Cozman, Cassio Polpo de Campos, 2013, AAAI.

Sets of probability distributions, independence, and convexity

Fábio Gagliardi Cozman, 2011, Synthese.

Inference in Polytrees with Sets of Probabilities pdf

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

Probabilistic Satisfiability and Coherence Checking through Integer Programming

Fábio Gagliardi Cozman, Lucas Fargoni di Ianni, 2013, ECSQARU.

Computing Lower Expectations with Kuznetsov's Independence Condition

Fábio Gagliardi Cozman, 2003, ISIPTA.

Graphoid Properties of Variants of Epistemic Independence Based on Regular Conditioning

Fábio Gagliardi Cozman, 2019, ISIPTA.

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

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

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

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

Probabilistic satisfiability and coherence checking through integer programming

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

First-Order Bayesian Network Specifications Capture the Complexity Class PP pdf

Fábio Gagliardi Cozman, 2016, ArXiv.

Credal Sum-Product Networks

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

Semantic Query Extension through Probabilistic Description Logics

Kate Revoredo, Fábio Gagliardi Cozman, José Eduardo Ochoa Luna, 2010, URSW.

Inference with Aggregation Parfactors: Lifted Elimination with First-Order d-Separation

Fábio Gagliardi Cozman, Felipe I. Takiyama, 2014, 2014 Brazilian Conference on Intelligent Systems.

Algorithms for Conditioning on Events of Zero Lower Probability

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

Position estimation from outdoor visual landmarks for teleoperation of lunar rovers

Eric Krotkov, Fábio Gagliardi Cozman, 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

Some thoughts on knowledge-enhanced machine learning

Fábio Gagliardi Cozman, Hugo Neri Munhoz, 2021, Int. J. Approx. Reason..

Epistemic Argumentation with Conditional Probabilities and Labeling Constraints

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