Fabio Gagliardi Cozman | DeepAI

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Featured Co-authors

Cassio Polpo de Campos
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André Seidel Oliveira
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Marcelo Dottori
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Jose Carlos Ferreira da Rocha
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∙ 08/05/2023

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

We present dPASP, a novel declarative probabilistic logic programming fr...

0 Renato Lui Geh, et al. ∙

∙ 06/25/2023

A Multilingual Translator to SQL with Database Schema Pruning to Improve Self-Attention

Long sequences of text are challenging in the context of transformers, d...

0 Marcelo Archanjo José, et al. ∙

∙ 02/27/2023

Markov Conditions and Factorization in Logical Credal Networks

We examine the recently proposed language of Logical Credal Networks, in...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 01/18/2023

Augmenting a Physics-Informed Neural Network for the 2D Burgers Equation by Addition of Solution Data Points

We implement a Physics-Informed Neural Network (PINN) for solving the tw...

0 Marlon Sproesser Mathias, et al. ∙

∙ 02/08/2022

Integrating question answering and text-to-SQL in Portuguese

Deep learning transformers have drastically improved systems that automa...

0 Marcos Menon José, et al. ∙

∙ 10/19/2021

DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

The challenge of climate change and biome conservation is one of the mos...

0 Flávio Nakasato Cação, et al. ∙

∙ 10/07/2021

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

The translation of natural language questions to SQL queries has attract...

0 Marcelo Archanjo José, et al. ∙

∙ 03/05/2020

An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate

We have established, through empirical testing, a law that relates the n...

0 Lucas Nunes Sequeira, et al. ∙

∙ 10/22/2018

A Fully Attention-Based Information Retriever

Recurrent neural networks are now the state-of-the-art in natural langua...

0 Alvaro Henrique Chaim Correia, et al. ∙

∙ 06/20/2018

Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach

Knowledge bases are employed in a variety of applications from natural l...

0 Arthur Colombini Gusmão, et al. ∙

∙ 01/31/2017

On the Semantics and Complexity of Probabilistic Logic Programs

We examine the meaning and the complexity of probabilistic logic program...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 12/04/2016

The Complexity of Bayesian Networks Specified by Propositional and Relational Languages

We examine the complexity of inference in Bayesian networks specified by...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 09/12/2016

First-Order Bayesian Network Specifications Capture the Complexity Class PP

The point of this note is to prove that a language is in the complexity ...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 02/13/2013

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

Quasi-Bayesian theory uses convex sets of probability distributions and ...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 02/06/2013

Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions

Robust Bayesian inference is the calculation of posterior probability bo...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 01/30/2013

Irrelevance and Independence Relations in Quasi-Bayesian Networks

This paper analyzes irrelevance and independence relations in graphical ...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 01/16/2013

Separation Properties of Sets of Probability Measures

This paper analyzes independence concepts for sets of probability measur...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 12/12/2012

Inference with Seperately Specified Sets of Probabilities in Credal Networks

We present new algorithms for inference in credal networks --- directed ...

0 Jose Carlos Ferreira da Rocha, et al. ∙

∙ 10/19/2012

Inference in Polytrees with Sets of Probabilities

Inferences in directed acyclic graphs associated with probability sets a...

0 Jose Carlos Ferreira da Rocha, et al. ∙

∙ 07/11/2012

Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments

This paper investigates a representation language with flexibility inspi...

0 Fabio Gagliardi Cozman, et al. ∙

∙ 07/04/2012

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

This paper explores semi-qualitative probabilistic networks (SQPNs) that...

0 Cassio Polpo de Campos, et al. ∙

∙ 05/09/2012

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

This paper presents complexity analysis and variational methods for infe...

0 Fabio Gagliardi Cozman, et al. ∙

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