Universidade Federal de Minas Gerais

research

∙ 12/20/2019

Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation

Early recognition of risky trajectories during an Intensive Care Unit (I...

Tiago Alves, et al. ∙

research

∙ 01/06/2022

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting

Fuzzy Cognitive Maps (FCMs) have emerged as an interpretable signed weig...

Omid Orang, et al. ∙

research

∙ 12/06/2021

Top-Down Deep Clustering with Multi-generator GANs

Deep clustering (DC) leverages the representation power of deep architec...

Daniel de Mello, et al. ∙

research

∙ 01/08/2020

Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints

Creating plausible virtual actors from images of real actors remains one...

Thiago L. Gomes, et al. ∙

research

∙ 05/24/2022

Lutma: a Frame-Making Tool for Collaborative FrameNet Development

This paper presents Lutma, a collaborative, semi-constrained, tutorial-b...

Tiago Timponi Torrent, et al. ∙

research

∙ 04/26/2019

DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning

Serial crystallography is the field of science that studies the structur...

Artur Souza, et al. ∙

research

∙ 09/11/2019

Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints

In the last years, the computer vision research community has studied on...

Carlos Caetano, et al. ∙

research

∙ 06/13/2018

Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art

Human activity recognition based on wearable sensor data has been an att...

Artur Jordao, et al. ∙

research

∙ 05/30/2017

MOBA: a New Arena for Game AI

Games have always been popular testbeds for Artificial Intelligence (AI)...

Victor Silva, et al. ∙

research

∙ 01/27/2020

Towards Open-Set Semantic Segmentation of Aerial Images

Classical and more recently deep computer vision methods are optimized f...

Caio C. V. da Silva, et al. ∙

research

∙ 07/04/2017

How Noisy Data Affects Geometric Semantic Genetic Programming

Noise is a consequence of acquiring and pre-processing data from the env...

Luis F. Miranda, et al. ∙

research

∙ 11/18/2017

A Color Quantization Optimization Approach for Image Representation Learning

Over the last two decades, hand-crafted feature extractors have been use...

É. M. D. A. Pereira, et al. ∙

research

∙ 11/09/2017

Making a long story short: A Multi-Importance Semantic for Fast-Forwarding Egocentric Videos

The emergence of low-cost, high-quality personal wearable cameras combin...

Michel Melo Silva, et al. ∙

research

∙ 11/07/2017

Latent hypernet: Exploring all Layers from Convolutional Neural Networks

Since Convolutional Neural Networks (ConvNets) are able to simultaneousl...

Artur Jordao, et al. ∙

research

∙ 06/09/2017

A Tutor Agent for MOBA Games

Digital games have become a key player in the entertainment industry, at...

Victor Silva, et al. ∙

research

∙ 06/08/2017

On the Development of Intelligent Agents for MOBA Games

Multiplayer Online Battle Arena (MOBA) is one of the most played game ge...

Victor Silva, et al. ∙

research

∙ 06/08/2017

Setting Players' Behaviors in World of Warcraft through Semi-Supervised Learning

Digital games are one of the major and most important fields on the ente...

Marcelo Souza Nery, et al. ∙

research

∙ 08/24/2017

A Robust Indoor Scene Recognition Method based on Sparse Representation

In this paper, we present a robust method for scene recognition, which l...

Guilherme Nascimento, et al. ∙

research

∙ 08/22/2017

Activity Recognition based on a Magnitude-Orientation Stream Network

The temporal component of videos provides an important clue for activity...

Carlos Caetano, et al. ∙

research

∙ 08/14/2017

Fast-Forward Video Based on Semantic Extraction

Thanks to the low operational cost and large storage capacity of smartph...

Washington Luis Souza Ramos, et al. ∙

research

∙ 08/14/2017

Towards Semantic Fast-Forward and Stabilized Egocentric Videos

The emergence of low-cost personal mobiles devices and wearable cameras ...

Michel Melo Silva, et al. ∙

research

∙ 03/15/2017

Selective Harvesting over Networks

Active search (AS) on graphs focuses on collecting certain labeled nodes...

Fabricio Murai, et al. ∙

research

∙ 04/01/2017

Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition

Many of the state-of-the-art algorithms for gesture recognition are base...

Manoel Horta Ribeiro, et al. ∙

research

∙ 11/21/2016

Kernel Cross-View Collaborative Representation based Classification for Person Re-Identification

Person re-identification aims at the maintenance of a global identity as...

Raphael Prates, et al. ∙

research

∙ 11/03/2015

TribeFlow: Mining & Predicting User Trajectories

Which song will Smith listen to next? Which restaurant will Alice go to ...

Flavio Figueiredo, et al. ∙

research

∙ 10/20/2015

A latent shared-component generative model for real-time disease surveillance using Twitter data

Exploiting the large amount of available data for addressing relevant so...

Roberto C. S. N. P. Souza, et al. ∙

research

∙ 07/11/2016

Benchmark for License Plate Character Segmentation

Automatic License Plate Recognition (ALPR) has been the focus of many re...

Gabriel Resende Gonçalves, et al. ∙

research

∙ 02/04/2016

Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

We present an analysis of three possible strategies for exploiting the p...

Keiller Nogueira, et al. ∙

research

∙ 11/14/2011

Mining Biclusters of Similar Values with Triadic Concept Analysis

Biclustering numerical data became a popular data-mining task in the beg...

Mehdi Kaytoue, et al. ∙

research

∙ 01/09/2014

Distinguishing noise from chaos: objective versus subjective criteria using Horizontal Visibility Graph

A recently proposed methodology called the Horizontal Visibility Graph (...

Martín Gómez Ravetti, et al. ∙

research

∙ 04/19/2011

Hue Histograms to Spatiotemporal Local Features for Action Recognition

Despite the recent developments in spatiotemporal local features for act...

Fillipe Souza, et al. ∙

research

∙ 06/17/2010

Action Recognition in Videos: from Motion Capture Labs to the Web

This paper presents a survey of human action recognition approaches base...

Ana Paula Brandão Lopes, et al. ∙

research

∙ 04/09/2016

Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos

This paper presents a novel approach to perform sentiment analysis of ne...

Moisés H. R. Pereira, et al. ∙

research

∙ 12/06/2015

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

In the last few years thousands of scientific papers have investigated s...

Filipe Nunes Ribeiro, et al. ∙

research

∙ 03/26/2015

Breaking the News: First Impressions Matter on Online News

A growing number of people are changing the way they consume news, repla...

Julio Reis, et al. ∙

research

∙ 03/08/2017

Assessing Code Authorship: The Case of the Linux Kernel

Code authorship is a key information in large-scale open source systems....

Guilherme Avelino, et al. ∙

research

∙ 09/22/2017

Barker's algorithm for Bayesian inference with intractable likelihoods

In this expository paper we abstract and describe a simple MCMC scheme f...

Flavio B. Gonçalves, et al. ∙

research

∙ 10/21/2017

Eliminating Odd Cycles by Removing a Matching

We study the problem of determining whether a given graph G=(V, E) admit...

Carlos V. G. C. Lima, et al. ∙

research

∙ 11/12/2017

Bayesian linear regression models with flexible error distributions

This work introduces a novel methodology based on finite mixtures of Stu...

Nívea B. da Silva, et al. ∙

research

∙ 12/31/2017

"Like Sheep Among Wolves": Characterizing Hateful Users on Twitter

Hateful speech in Online Social Networks (OSNs) is a key challenge for c...

Manoel Horta Ribeiro, et al. ∙

research

∙ 01/12/2018

Prototypicality effects in global semantic description of objects

We propose a new approach to face the semantic features descriptions of ...

Omar Vidal Pino, et al. ∙

research

∙ 01/16/2018

Why and How Java Developers Break APIs

Modern software development depends on APIs to reuse code and increase p...

Aline Brito, et al. ∙

research

∙ 02/26/2018

A Robust Real-Time Automatic License Plate Recognition based on the YOLO Detector

Automatic License Plate Recognition (ALPR) has been a frequent topic of ...

Rayson Laroca, et al. ∙

research

∙ 03/09/2018

Modelos de Resposta para Experimentos Randomizados em Redes Sociais de Larga Escala

A/B tests are randomized experiments frequently used by companies that o...

Francisco Galuppo Azevedo, et al. ∙

research

∙ 03/20/2018

Characterization by forbidden induced subgraphs of some subclasses of chordal graphs

Chordal graphs are the graphs in which every cycle of length at least fo...

Sérgio H. Nogueira, et al. ∙

research

∙ 03/23/2018

Characterizing and Detecting Hateful Users on Twitter

Most current approaches to characterize and detect hate speech focus on ...

Manoel Horta Ribeiro, et al. ∙

research

∙ 04/11/2018

Active Constraints using Vector Field Inequalities for Surgical Robots

Robotic assistance allows surgeons to perform dexterous and tremor-free ...

Murilo M. Marinho, et al. ∙

research

∙ 04/30/2018

Dynamic Active Constraints for Surgical Robots using Vector Field Inequalities

Robotic assistance allows surgeons to perform dexterous and tremor-free ...

Murilo M. Marinho, et al. ∙

research

∙ 05/03/2018

Open Source Development Around the World: A Comparative Study

Open source software has an increasing importance in our modern society,...

Thais Mombach, et al. ∙

research

∙ 05/17/2018

Dual parameterization of Weighted Coloring

Given a graph G, a proper k-coloring of G is a partition c = (S_i)_i∈ [1...

Júlio Araújo, et al. ∙

Universidade Federal de Minas Gerais

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