University of Campinas

research

∙ 05/26/2021

Benchmarking Scientific Image Forgery Detectors

The scientific image integrity area presents a challenging research bott...

João P. Cardenuto, et al. ∙

research

∙ 06/11/2020

A multi-objective-based approach for Fair Principal Component Analysis

In dimension reduction problems, the adopted technique may produce dispa...

Guilherme D. Pelegrina, et al. ∙

research

∙ 09/17/2020

Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient

Locating populations in rural areas of developing countries has attracte...

John E. Vargas-Muñoz, et al. ∙

research

∙ 11/23/2019

Compressing Representations for Embedded Deep Learning

Despite recent advances in architectures for mobile devices, deep learni...

Juliano S. Assine, et al. ∙

research

∙ 07/13/2021

Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision

The technological advancements of deep learning have enabled sophisticat...

Chenqi Kong, et al. ∙

research

∙ 01/28/2020

OPFython: A Python-Inspired Optimum-Path Forest Classifier

Machine learning techniques have been paramount throughout the last year...

Gustavo Henrique de Rosa, et al. ∙

research

∙ 07/13/2020

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

OpenStreetMap (OSM) is a community-based, freely available, editable map...

John Vargas, et al. ∙

research

∙ 04/18/2019

Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons

Watching cartoons can be useful for children's intellectual, social and ...

Akari Ishikawa, et al. ∙

research

∙ 07/26/2019

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

Agricultural applications as yield prediction, precision agriculture and...

Thiago T. Santos, et al. ∙

research

∙ 04/28/2020

Small-Task Incremental Learning

Lifelong learning has attracted much attention, but existing works still...

Arthur Douillard, et al. ∙

research

∙ 07/07/2021

RAM-VO: Less is more in Visual Odometry

Building vehicles capable of operating without human supervision require...

Iury Cleveston, et al. ∙

research

∙ 08/25/2018

Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018

This extended abstract describes the participation of RECOD Titans in pa...

Alceu Bissoto, et al. ∙

research

∙ 04/29/2019

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

Convolutional neural networks (CNNs) deliver exceptional results for com...

Fábio Perez, et al. ∙

research

∙ 06/12/2018

Adversarial Attacks on Variational Autoencoders

Adversarial attacks are malicious inputs that derail machine-learning mo...

George Gondim-Ribeiro, et al. ∙

research

∙ 12/13/2021

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis

The field of neural networks has seen significant advances in recent yea...

Marco Aurélio Granero, et al. ∙

research

∙ 11/01/2017

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening

State of the art on melanoma screening evolved rapidly in the last two y...

Eduardo Valle, et al. ∙

research

∙ 01/29/2017

An Extremal Optimization approach to parallel resonance constrained capacitor placement problem

Installation of capacitors in distribution networks is one of the most u...

André R. Goncalves, et al. ∙

research

∙ 12/05/2016

Known Unknowns: Uncertainty Quality in Bayesian Neural Networks

We evaluate the uncertainty quality in neural networks using anomaly det...

Ramon Oliveira, et al. ∙

research

∙ 12/01/2016

Adversarial Images for Variational Autoencoders

We investigate adversarial attacks for autoencoders. We propose a proced...

Pedro Tabacof, et al. ∙

research

∙ 11/10/2015

Reducing the Training Time of Neural Networks by Partitioning

This paper presents a new method for pre-training neural networks that c...

Conrado S. Miranda, et al. ∙

research

∙ 10/19/2015

Exploring the Space of Adversarial Images

Adversarial examples have raised questions regarding the robustness and ...

Pedro Tabacof, et al. ∙

research

∙ 06/17/2015

Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization

This paper introduces a high-performance hybrid algorithm, called Hybrid...

Conrado Silva Miranda, et al. ∙

research

∙ 06/10/2014

A Flexible Fitness Function for Community Detection in Complex Networks

Most community detection algorithms from the literature work as optimiza...

Fabrício Olivetti de França, et al. ∙

research

∙ 06/10/2017

Segmentation of nearly isotropic overlapped tracks in photomicrographs using successive erosions as watershed markers

The major challenges of automatic track counting are distinguishing trac...

Alexandre Fioravante de Siqueira, et al. ∙

research

∙ 03/22/2017

Knowledge Transfer for Melanoma Screening with Deep Learning

Knowledge transfer impacts the performance of deep learning -- the state...

Afonso Menegola, et al. ∙

research

∙ 03/14/2017

RECOD Titans at ISIC Challenge 2017

This extended abstract describes the participation of RECOD Titans in pa...

Afonso Menegola, et al. ∙

research

∙ 05/19/2015

Necessary and Sufficient Conditions for Surrogate Functions of Pareto Frontiers and Their Synthesis Using Gaussian Processes

This paper introduces the necessary and sufficient conditions that surro...

Conrado Silva Miranda, et al. ∙

research

∙ 09/05/2016

Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes

Deep learning is the current bet for image classification. Its greed for...

Afonso Menegola, et al. ∙

research

∙ 07/13/2013

Logics of formal inconsistency arising from systems of fuzzy logic

This paper proposes the meeting of fuzzy logic with paraconsistency in a...

Marcelo Coniglio, et al. ∙

research

∙ 06/03/2015

Multi-Objective Optimization for Self-Adjusting Weighted Gradient in Machine Learning Tasks

Much of the focus in machine learning research is placed in creating new...

Conrado Silva Miranda, et al. ∙

research

∙ 06/02/2016

Comparison of 14 different families of classification algorithms on 115 binary datasets

We tested 14 very different classification algorithms (random forest, gr...

Jacques Wainer, et al. ∙

research

∙ 03/22/2015

Asymmetric Distributions from Constrained Mixtures

This paper introduces constrained mixtures for continuous distributions,...

Conrado S. Miranda, et al. ∙

research

∙ 10/09/2015

Where Is My Puppy? Retrieving Lost Dogs by Facial Features

A pet that goes missing is among many people's worst fears: a moment of ...

Thierry Pinheiro Moreira, et al. ∙

research

∙ 08/04/2014

A Pattern Recognition System for Detecting Use of Mobile Phones While Driving

It is estimated that 80 drivers inattentive to traffic for three seconds...

Rafael A. Berri, et al. ∙

research

∙ 05/29/2013

Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies

Video object segmentation is a challenging problem due to the presence o...

Thiago V. Spina, et al. ∙

research

∙ 10/25/2012

Computer vision tools for the non-invasive assessment of autism-related behavioral markers

The early detection of developmental disorders is key to child outcome, ...

Jordan Hashemi, et al. ∙

research

∙ 12/14/2017

Equilibria in the Tangle

We analyse the Tangle --- a DAG-valued stochastic process where new vert...

Serguei Popov, et al. ∙

research

∙ 12/19/2017

A tight lower bound for an online hypercube packing problem and bounds for prices of anarchy of a related game

We prove a tight lower bound on the asymptotic performance ratio ρ of th...

Y. Kohayakawa, et al. ∙

research

∙ 10/09/2017

Efficient mining of maximal biclusters in mixed-attribute datasets

This paper presents a novel enumerative biclustering algorithm to direct...

Rosana Veroneze, et al. ∙

research

∙ 10/08/2017

Paperclickers: Affordable Solution for Classroom Response Systems

We propose a low-cost classroom response system requiring a single mobil...

Eduardo Oliveira, et al. ∙

research

∙ 10/23/2017

On the Coordinator's Rule for Fast Paxos

Fast Paxos is an algorithm for consensus that works by a succession of r...

Gustavo M. D. Vieira, et al. ∙

research

∙ 10/21/2017

Seamless Paxos Coordinators

The Paxos algorithm requires a single correct coordinator process to ope...

Gustavo M. D. Vieira, et al. ∙

research

∙ 07/25/2017

Prices of anarchy of selfish 2D bin packing games

We consider a game-theoretical problem called selfish 2-dimensional bin ...

Cristina G. Fernandes, et al. ∙

research

∙ 10/27/2017

Lyndon Array Construction during Burrows-Wheeler Inversion

In this paper we present an algorithm to compute the Lyndon array of a s...

Felipe A. Louza, et al. ∙

research

∙ 01/30/2018

An Iterative Spanning Forest Framework for Superpixel Segmentation

Superpixel segmentation has become an important research problem in imag...

John E. Vargas-Muñoz, et al. ∙

research

∙ 01/29/2018

Communication-Efficient Search for an Approximate Closest Lattice Point

We consider the problem of finding the closest lattice point to a vector...

Maiara F. Bollauf, et al. ∙

research

∙ 02/06/2018

A Distance Between Channels: the average error of mismatched channels

Two channels are equivalent if their maximum likelihood (ML) decoders co...

Rafael G. L. D'Oliveira, et al. ∙

research

∙ 03/17/2018

The Graph Structure of Chebyshev Polynomials over Finite Fields and Applications

We completely describe the functional graph associated to iterations of ...

Claudio Qureshi, et al. ∙

research

∙ 04/12/2018

A fuzzy process of individuation

It is shown that an aspect of the process of individuation may be though...

Juliano C. S. Neves, et al. ∙

research

∙ 04/19/2018

From Weakly Chaotic Dynamics to Deterministic Subdiffusion via Copula Modeling

Copula modeling consists in finding a probabilistic distribution, called...

Pierre Nazé, et al. ∙

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