University of Campinas

∙ Campinas , Brazil ∙ 0 followers

The University of Campinas, commonly called Unicamp, is a public research university in the state of São Paulo, Brazil.

Benchmarking Scientific Image Forgery Detectors

The scientific image integrity area presents a challenging research bott...
05/26/2021 ∙ by João P. Cardenuto, et al. ∙ 29 ∙ share

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

In dimension reduction problems, the adopted technique may produce dispa...
06/11/2020 ∙ by Guilherme D. Pelegrina, et al. ∙ 24 ∙ share

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

Locating populations in rural areas of developing countries has attracte...
09/17/2020 ∙ by John E. Vargas-Muñoz, et al. ∙ 18 ∙ share

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Compressing Representations for Embedded Deep Learning

Despite recent advances in architectures for mobile devices, deep learni...
11/23/2019 ∙ by Juliano S. Assine, et al. ∙ 16 ∙ share

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

The technological advancements of deep learning have enabled sophisticat...
07/13/2021 ∙ by Chenqi Kong, et al. ∙ 15 ∙ share

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OPFython: A Python-Inspired Optimum-Path Forest Classifier

Machine learning techniques have been paramount throughout the last year...
01/28/2020 ∙ by Gustavo Henrique de Rosa, et al. ∙ 12 ∙ share

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OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

OpenStreetMap (OSM) is a community-based, freely available, editable map...
07/13/2020 ∙ by John Vargas, et al. ∙ 12 ∙ share

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Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons

Watching cartoons can be useful for children's intellectual, social and ...
04/18/2019 ∙ by Akari Ishikawa, et al. ∙ 10 ∙ share

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

Agricultural applications as yield prediction, precision agriculture and...
07/26/2019 ∙ by Thiago T. Santos, et al. ∙ 6 ∙ share

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Small-Task Incremental Learning

Lifelong learning has attracted much attention, but existing works still...
04/28/2020 ∙ by Arthur Douillard, et al. ∙ 6 ∙ share

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RAM-VO: Less is more in Visual Odometry

Building vehicles capable of operating without human supervision require...
07/07/2021 ∙ by Iury Cleveston, et al. ∙ 5 ∙ share

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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...
08/25/2018 ∙ by Alceu Bissoto, et al. ∙ 4 ∙ share

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Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

Convolutional neural networks (CNNs) deliver exceptional results for com...
04/29/2019 ∙ by Fábio Perez, et al. ∙ 4 ∙ share

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Adversarial Attacks on Variational Autoencoders

Adversarial attacks are malicious inputs that derail machine-learning mo...
06/12/2018 ∙ by George Gondim-Ribeiro, et al. ∙ 2 ∙ share

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

State of the art on melanoma screening evolved rapidly in the last two y...
11/01/2017 ∙ by Eduardo Valle, et al. ∙ 0 ∙ share

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An Extremal Optimization approach to parallel resonance constrained capacitor placement problem

Installation of capacitors in distribution networks is one of the most u...
01/29/2017 ∙ by André R. Goncalves, et al. ∙ 0 ∙ share

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Known Unknowns: Uncertainty Quality in Bayesian Neural Networks

We evaluate the uncertainty quality in neural networks using anomaly det...
12/05/2016 ∙ by Ramon Oliveira, et al. ∙ 0 ∙ share

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Adversarial Images for Variational Autoencoders

We investigate adversarial attacks for autoencoders. We propose a proced...
12/01/2016 ∙ by Pedro Tabacof, et al. ∙ 0 ∙ share

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Reducing the Training Time of Neural Networks by Partitioning

This paper presents a new method for pre-training neural networks that c...
11/10/2015 ∙ by Conrado S. Miranda, et al. ∙ 0 ∙ share

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Exploring the Space of Adversarial Images

Adversarial examples have raised questions regarding the robustness and ...
10/19/2015 ∙ by Pedro Tabacof, et al. ∙ 0 ∙ share

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Hybrid Algorithm for Multi-Objective Optimization by Greedy Hypervolume Maximization

This paper introduces a high-performance hybrid algorithm, called Hybrid...
06/17/2015 ∙ by Conrado Silva Miranda, et al. ∙ 0 ∙ share

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A Flexible Fitness Function for Community Detection in Complex Networks

Most community detection algorithms from the literature work as optimiza...
06/10/2014 ∙ by Fabrício Olivetti de França, et al. ∙ 0 ∙ share

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

The major challenges of automatic track counting are distinguishing trac...
06/10/2017 ∙ by Alexandre Fioravante de Siqueira, et al. ∙ 0 ∙ share

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Knowledge Transfer for Melanoma Screening with Deep Learning

Knowledge transfer impacts the performance of deep learning -- the state...
03/22/2017 ∙ by Afonso Menegola, et al. ∙ 0 ∙ share

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RECOD Titans at ISIC Challenge 2017

This extended abstract describes the participation of RECOD Titans in pa...
03/14/2017 ∙ by Afonso Menegola, et al. ∙ 0 ∙ share

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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...
05/19/2015 ∙ by Conrado Silva Miranda, et al. ∙ 0 ∙ share

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Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes

Deep learning is the current bet for image classification. Its greed for...
09/05/2016 ∙ by Afonso Menegola, et al. ∙ 0 ∙ share

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Logics of formal inconsistency arising from systems of fuzzy logic

This paper proposes the meeting of fuzzy logic with paraconsistency in a...
07/13/2013 ∙ by Marcelo Coniglio, et al. ∙ 0 ∙ share

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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...
06/03/2015 ∙ by Conrado Silva Miranda, et al. ∙ 0 ∙ share

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

We tested 14 very different classification algorithms (random forest, gr...
06/02/2016 ∙ by Jacques Wainer, et al. ∙ 0 ∙ share

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Asymmetric Distributions from Constrained Mixtures

This paper introduces constrained mixtures for continuous distributions,...
03/22/2015 ∙ by Conrado S. Miranda, et al. ∙ 0 ∙ share

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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 ...
10/09/2015 ∙ by Thierry Pinheiro Moreira, et al. ∙ 0 ∙ share

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

It is estimated that 80 drivers inattentive to traffic for three seconds...
08/04/2014 ∙ by Rafael A. Berri, et al. ∙ 0 ∙ share

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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...
05/29/2013 ∙ by Thiago V. Spina, et al. ∙ 0 ∙ share

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

The early detection of developmental disorders is key to child outcome, ...
10/25/2012 ∙ by Jordan Hashemi, et al. ∙ 0 ∙ share

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Equilibria in the Tangle

We analyse the Tangle --- a DAG-valued stochastic process where new vert...
12/14/2017 ∙ by Serguei Popov, et al. ∙ 0 ∙ share

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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...
12/19/2017 ∙ by Y. Kohayakawa, et al. ∙ 0 ∙ share

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Efficient mining of maximal biclusters in mixed-attribute datasets

This paper presents a novel enumerative biclustering algorithm to direct...
10/09/2017 ∙ by Rosana Veroneze, et al. ∙ 0 ∙ share

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Paperclickers: Affordable Solution for Classroom Response Systems

We propose a low-cost classroom response system requiring a single mobil...
10/08/2017 ∙ by Eduardo Oliveira, et al. ∙ 0 ∙ share

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On the Coordinator's Rule for Fast Paxos

Fast Paxos is an algorithm for consensus that works by a succession of r...
10/23/2017 ∙ by Gustavo M. D. Vieira, et al. ∙ 0 ∙ share

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Seamless Paxos Coordinators

The Paxos algorithm requires a single correct coordinator process to ope...
10/21/2017 ∙ by Gustavo M. D. Vieira, et al. ∙ 0 ∙ share

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Prices of anarchy of selfish 2D bin packing games

We consider a game-theoretical problem called selfish 2-dimensional bin ...
07/25/2017 ∙ by Cristina G. Fernandes, et al. ∙ 0 ∙ share

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Lyndon Array Construction during Burrows-Wheeler Inversion

In this paper we present an algorithm to compute the Lyndon array of a s...
10/27/2017 ∙ by Felipe A. Louza, et al. ∙ 0 ∙ share

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An Iterative Spanning Forest Framework for Superpixel Segmentation

Superpixel segmentation has become an important research problem in imag...
01/30/2018 ∙ by John E. Vargas-Muñoz, et al. ∙ 0 ∙ share

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Communication-Efficient Search for an Approximate Closest Lattice Point

We consider the problem of finding the closest lattice point to a vector...
01/29/2018 ∙ by Maiara F. Bollauf, et al. ∙ 0 ∙ share

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A Distance Between Channels: the average error of mismatched channels

Two channels are equivalent if their maximum likelihood (ML) decoders co...
02/06/2018 ∙ by Rafael G. L. D'Oliveira, et al. ∙ 0 ∙ share

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The Graph Structure of Chebyshev Polynomials over Finite Fields and Applications

We completely describe the functional graph associated to iterations of ...
03/17/2018 ∙ by Claudio Qureshi, et al. ∙ 0 ∙ share

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A fuzzy process of individuation

It is shown that an aspect of the process of individuation may be though...
04/12/2018 ∙ by Juliano C. S. Neves, et al. ∙ 0 ∙ share

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From Weakly Chaotic Dynamics to Deterministic Subdiffusion via Copula Modeling

Copula modeling consists in finding a probabilistic distribution, called...
04/19/2018 ∙ by Pierre Nazé, et al. ∙ 0 ∙ share

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Metrics that respect the support

In this work we explore the family of metrics determined by S-weights, i...
04/20/2018 ∙ by Roberto Assis Machado, et al. ∙ 0 ∙ share

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