
Graph Neural Networks Meet NeuralSymbolic Computing: A Survey and Perspective
Neuralsymbolic computing has now become the subject of interest of both...
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Superpixel Image Classification with Graph Attention Networks
This document reports the use of Graph Attention Networks for classifyin...
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A Hybrid Ensemble Feature Selection Design for Candidate Biomarkers Discovery from Transcriptome Profiles
The discovery of disease biomarkers from gene expression data has been g...
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Identifying Reusable Macros for Efficient Exploration via Policy Compression
Reinforcement Learning agents often need to solve not a single task, but...
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A Framework for Constrained and Adaptive BehaviorBased Agents
Behavior Trees are commonly used to model agents for robotics and games,...
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Exact and Heuristic Methods for the Assembly Line Worker Assignment and Balancing Problem
In traditional assembly lines, it is reasonable to assume that task exec...
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Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External Memory
In this paper we take a stateoftheart model for distributed word repr...
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Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
In this paper, we propose LexVec, a new method for generating distribute...
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Temporal Network Analysis of Literary Texts
We study temporal networks of characters in literature focusing on "Alic...
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Strategies for Big Data Analytics through Lambda Architectures in Volatile Environments
Expectations regarding the future growth of Internet of Things (IoT)rel...
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Exploration of User Groups in VEXUS
We introduce VEXUS, an interactive visualization framework for exploring...
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Functional Decomposition using Principal Subfields
Let f∈ K(t) be a univariate rational function. It is well known that any...
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The Complexity of Computing all Subfields of an Algebraic Number Field
For a finite separable field extension K/k, all subfields can be obtaine...
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ContextBased Concurrent Experience Sharing in Multiagent Systems
One of the key challenges for multiagent learning is scalability. In th...
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Incorporating Subword Information into Matrix Factorization Word Embeddings
The positive effect of adding subword information to word embeddings has...
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Modeling, comprehending and summarizing textual content by graphs
Automatic Text Summarization strategies have been successfully employed ...
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Beta Autoregressive Fractionally Integrated Moving Average Models
In this work we introduce the class of beta autoregressive fractionally ...
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Assessing Gender Bias in Machine Translation  A Case Study with Google Translate
Recently there has been a growing concern about machine bias, where trai...
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Learning to Solve NPComplete Problems  A Graph Neural Network for the Decision TSP
Graph Neural Networks (GNN) are a promising technique for bridging diffe...
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Mixing conditions of conjugate processes
We give sufficient conditions ensuring that a ψmixing property holds fo...
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Multitask Learning on Graph Neural Networks  Learning Multiple Graph Centrality Measures with a Unified Network
The application of deep learning to symbolic domains remains an active r...
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On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Recent developments in AI, Machine Learning and Robotics have raised con...
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Neural Networks Models for Analyzing Magic: the Gathering Cards
Historically, games of all kinds have often been the subject of study in...
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Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
Sudoku is a widely popular NPComplete combinatorial puzzle whose prospe...
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Is there Gender bias and stereotype in Portuguese Word Embeddings?
In this work, we propose an analysis of the presence of gender bias asso...
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Learning to Solve NPComplete Problems  A Graph Neural Network for Decision TSP
Graph Neural Networks (GNN) are a promising technique for bridging diffe...
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Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
AGM's belief revision is one of the main paradigms in the study of belie...
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A Dynamic Model for Double Bounded Time Series With Chaotic Driven Conditional Averages
In this work we introduce a class of dynamic models for time series taki...
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Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems
Deep learning has consistently defied stateoftheart techniques in man...
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Think Again Networks, the Delta Loss, and an Application in Language Modeling
This short paper introduces an abstraction called Think Again Networks (...
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UFRGS Participation on the WMT Biomedical Translation Shared Task
This paper describes the machine translation systems developed by the Un...
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A Large Parallel Corpus of FullText Scientific Articles
The Scielo database is an important source of scientific information in ...
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A Parallel Corpus of Theses and Dissertations Abstracts
In Brazil, the governmental body responsible for overseeing and coordina...
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Autonomous OpenEnded Learning of Interdependent Tasks
Autonomy is fundamental for artificial agents acting in complex realwor...
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Robust Goal Recognition with OperatorCounting Heuristics
Goal recognition is the problem of inferring the correct goal towards wh...
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Smoothing quantile regressions
We propose to smooth the entire objective function, rather than only the...
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Quantitative Comparison of TimeDependent Treemaps
Rectangular treemaps are often the method of choice for visualizing larg...
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Procedural Generation of Initial States of Sokoban
Procedural generation of initial states of statespace search problems h...
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Evaluating an Immersive SpaceTime Cube Geovisualization for Intuitive Trajectory Data Exploration
A SpaceTime Cube enables analysts to clearly observe spatiotemporal fe...
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Why So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
In distributional semantics, the pointwise mutual information (PMI) weig...
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A Dynamic Preference Logic for reasoning about Agent Programming
In this work, we investigate the use of Dynamic Preference Logic to enco...
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Tractable reasoning about Agent Programming in Dynamic Preference Logic
While several BDI logics have been proposed in the area of Agent Program...
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Discrete and Continuous Deep Residual Learning Over Graphs
In this paper we propose the use of continuous residual modules for grap...
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On the query complexity of estimating the distance to hereditary graph properties
Given a family of graphs F, we prove that the normalized edit distance o...
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Bringing Belief Base Change into Dynamic Epistemic Logic
AGM's belief revision is one of the main paradigms in the study of belie...
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Optimal Options for MultiTask Reinforcement Learning Under Time Constraints
Reinforcement learning can greatly benefit from the use of options as a ...
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Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras
Machine learning is a huge field of study in computer science and statis...
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The Impact of Dynamics of Collaborative Software Engineering on Introverts: A Study Protocol
Background: Collaboration among software engineers through facetoface ...
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Quantifying the Impact of NonStationarity in Reinforcement LearningBased Traffic Signal Control
In reinforcement learning (RL), dealing with nonstationarity is a chall...
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Code Smells and Refactoring: A Tertiary Systematic Review of Challenges and Observations
In this paper, we present a tertiary systematic literature review of pre...
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UFRGS
The Federal University of Rio Grande do Sul is a Brazilian federal university based in Porto Alegre.