
Benchmarking Scientific Image Forgery Detectors
The scientific image integrity area presents a challenging research bott...
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A multiobjectivebased approach for Fair Principal Component Analysis
In dimension reduction problems, the adopted technique may produce dispa...
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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...
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Compressing Representations for Embedded Deep Learning
Despite recent advances in architectures for mobile devices, deep learni...
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Detect and Locate: A Face AntiManipulation Approach with Semantic and Noiselevel Supervision
The technological advancements of deep learning have enabled sophisticat...
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OPFython: A PythonInspired OptimumPath Forest Classifier
Machine learning techniques have been paramount throughout the last year...
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OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing
OpenStreetMap (OSM) is a communitybased, freely available, editable map...
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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 ...
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Grape detection, segmentation and tracking using deep neural networks and threedimensional association
Agricultural applications as yield prediction, precision agriculture and...
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SmallTask Incremental Learning
Lifelong learning has attracted much attention, but existing works still...
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RAMVO: Less is more in Visual Odometry
Building vehicles capable of operating without human supervision require...
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DeepLearning Ensembles for SkinLesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
This extended abstract describes the participation of RECOD Titans in pa...
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Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Convolutional neural networks (CNNs) deliver exceptional results for com...
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Adversarial Attacks on Variational Autoencoders
Adversarial attacks are malicious inputs that derail machinelearning mo...
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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...
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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...
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Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
We evaluate the uncertainty quality in neural networks using anomaly det...
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Adversarial Images for Variational Autoencoders
We investigate adversarial attacks for autoencoders. We propose a proced...
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Reducing the Training Time of Neural Networks by Partitioning
This paper presents a new method for pretraining neural networks that c...
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Exploring the Space of Adversarial Images
Adversarial examples have raised questions regarding the robustness and ...
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Hybrid Algorithm for MultiObjective Optimization by Greedy Hypervolume Maximization
This paper introduces a highperformance hybrid algorithm, called Hybrid...
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A Flexible Fitness Function for Community Detection in Complex Networks
Most community detection algorithms from the literature work as optimiza...
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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...
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Knowledge Transfer for Melanoma Screening with Deep Learning
Knowledge transfer impacts the performance of deep learning  the state...
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RECOD Titans at ISIC Challenge 2017
This extended abstract describes the participation of RECOD Titans in pa...
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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...
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Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Deep learning is the current bet for image classification. Its greed for...
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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...
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MultiObjective Optimization for SelfAdjusting Weighted Gradient in Machine Learning Tasks
Much of the focus in machine learning research is placed in creating new...
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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...
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Asymmetric Distributions from Constrained Mixtures
This paper introduces constrained mixtures for continuous distributions,...
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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 ...
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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...
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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...
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Computer vision tools for the noninvasive assessment of autismrelated behavioral markers
The early detection of developmental disorders is key to child outcome, ...
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Equilibria in the Tangle
We analyse the Tangle  a DAGvalued stochastic process where new vert...
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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...
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Efficient mining of maximal biclusters in mixedattribute datasets
This paper presents a novel enumerative biclustering algorithm to direct...
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Paperclickers: Affordable Solution for Classroom Response Systems
We propose a lowcost classroom response system requiring a single mobil...
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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...
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Seamless Paxos Coordinators
The Paxos algorithm requires a single correct coordinator process to ope...
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Prices of anarchy of selfish 2D bin packing games
We consider a gametheoretical problem called selfish 2dimensional bin ...
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Lyndon Array Construction during BurrowsWheeler Inversion
In this paper we present an algorithm to compute the Lyndon array of a s...
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An Iterative Spanning Forest Framework for Superpixel Segmentation
Superpixel segmentation has become an important research problem in imag...
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CommunicationEfficient Search for an Approximate Closest Lattice Point
We consider the problem of finding the closest lattice point to a vector...
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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...
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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 ...
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A fuzzy process of individuation
It is shown that an aspect of the process of individuation may be though...
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From Weakly Chaotic Dynamics to Deterministic Subdiffusion via Copula Modeling
Copula modeling consists in finding a probabilistic distribution, called...
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Metrics that respect the support
In this work we explore the family of metrics determined by Sweights, i...
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University of Campinas
The University of Campinas, commonly called Unicamp, is a public research university in the state of São Paulo, Brazil.