Heder Bernardino

Heder Bernardino
Federal University of Juiz de Fora · Departamento de Ciência da Computação

D.Sc.

About

120
Publications
12,268
Reads
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755
Citations
Additional affiliations
November 2012 - present
Federal University of Juiz de Fora
Position
  • Professor
March 2008 - June 2012
Laboratório Nacional de Computação Científica
Position
  • PhD Student

Publications

Publications (120)
Preprint
Full-text available
One of the main events that involve the world economy in 2022 is the conflict between Russia and Ukraine. This event offers a rare opportunity to analyze how events of this magnitude can reflect the use of cryptocurrencies. This work aims to investigate the behavior of accounts and their transactions on the Ethereum cryptocurrency during this event...
Conference Paper
Os serviços de armazenamento em nuvem oferecem vantagens para usuários domésticos e corporativos como backup, replicação de dados em diferentes locais, compartilhamento de dados e trabalho colaborativo. Além disso, os provedores desses serviços oferecem armazenamento em nuvem hierárquico com múltiplas opções de preços baseado no nível de armazename...
Article
Full-text available
For decision making in government, it is necessary to have well-structured sources of information. In several countries, it is difficult to access government data as the information are dispersed, disconnected, and poorly structured. For this reason, this work presents a framework to gather, unify, and enrich missing person data from distributed we...
Article
Full-text available
Electric vehicles are becoming popular in transport systems due to subsidies provided by the governments and the reduction of environmental issues. A bilevel optimization problem rises when the interests of governments (minimizing the infrastructure costs) and transportation companies (minimizing the routing costs) are considered. Also, both electr...
Chapter
Gene Regulatory Networks (GRNs) inference from gene expression data is a hard task and a widely addressed challenge. GRNs can be represented as Boolean models similarly to digital circuits. Cartesian Genetic Programming (CGP), often used for designing circuits, can thus be adopted in the inference of GRNs. The main CGP operator for generating candi...
Article
Full-text available
Evolutionary algorithms (EAs) are widely used for a variety of optimization problems, most of them with the presence of constraints. As move operators are usually blind to the constraints, (i.e. when operating upon feasible individuals they do not necessarily generate feasible offspring) standard EAs must be equipped with a constraint handling tech...
Chapter
Brain-Computer Interfaces (BCI) have many applications, such as motor rehabilitation in post-stroke situations. In most cases, the BCI captures brain signals and classifies them to determine a command in an electronic system. Given a large number of BCI applications, many models are improving signal classification accuracy. For instance, we propose...
Chapter
With the grown of global concern with environmental issues and incentives on the part of governments, the use of electric vehicles (EVs) by companies has increased. By joining the interest of governments on minimizing the costs of building the recharging infrastructure and of companies on minimizing their transport costs with the adoption of electr...
Article
Brain–computer interfaces (BCIs) can control and send messages to electronic devices by classifying brain signals. Several applications have been developed with this principle, and BCIs are constantly growing due to their broad applicability. One of the brain signals acquisition methods is the electroencephalogram (EEG). On EEG-BCI, the signal comm...
Conference Paper
Ethereum é uma das maiores plataformas de cripto ativos atualmente, e vem se tornando um ambiente de negócios digitais entre usuários. O Ethereum foi concebido para permitir transações descentralizadas entre usuários anônimos. Contudo, o desenvolvimento de métodos para identificar perfis de comportamentos de usuários, mantendo suas identidades anôn...
Article
Carsharing is ana lternative to urban mobility that has been widely adopted recently. This service presents three main business models: two of these models base their services on stations while the remainder, the free-floating service, is free of fixed stations. Despite the notable advantages of carsharing, this service is prone to several problems...
Article
Full-text available
The effective adoption of online learning depends on user satisfaction as distance education approaches suffer from a lack of commitment that may lead to failures and dropouts. The adaptive learning literature argues that an alternative to achieve student satisfaction is to treat them individually, delivering the educational content in a personaliz...
Article
Structural optimization problems can be described as multi-objective optimization problems (MOOPs) due to the presence of multiple conflicting objectives. Recently, procedures based on the decision-maker’s preferences have attracted the interest of researchers. This type of information allows for the search technique to focus only on regions of int...
Conference Paper
A diabetes mellitus pré-existente ou desenvolvida na gestação pode trazer sérios riscos de saúde à gestante e ao bebê, durante todo o ciclo gravídico-puerperal. Nesse sentido, predizer a presença de um dos tipos de diabetes, mesmo antes de seus primeiros sintomas, pode gerar impactos positivos nos sistemas de saúde pública. Este trabalho buscou ger...
Article
Full-text available
Ethereum has emerged as one of the most important cryptocurrencies in terms of the number of transactions. Given the recent growth of Ethereum, the cryptocurrency community and researchers are interested in understanding the Ethereum transactions behavior. In this work, we investigate a key aspect of Ethereum: the prediction of a transaction confir...
Article
Full-text available
Ethereum is one of the most popular cryptocurrency currently and it has been facing security threats and attacks. As a consequence, Ethereum users may experience long periods to validate transactions. Despite the maintenance on the Ethereum mechanisms, there are still indications that it remains susceptible to a sort of attacks. In this work, we an...
Preprint
BACKGROUND Smoking is still the leading cause of preventable death. Governments and healthcare providers should make available more and accessible resources to help tobacco users stop. OBJECTIVE This study describes a pilot longitudinal study that evaluated the efficacy of a computerized intervention compared to the brief intervention for smoking...
Article
Full-text available
The presentation of learning materials in a sequence, which considers the association of students’ individual characteristics with those of the knowledge domain of interest, is an effective learning strategy in online learning systems, especially if related to traditional approaches. However, this sequencing, called Adaptive Curriculum Sequencing (...
Conference Paper
O compartilhamento de veículos é alternativa para a mobilidade urbana que vem sendo largamente adotada. Porém, essa abordagem está sujeita a problemas, como desbalanceamento da frota ao longo do dia, por conta de demandas variadas em grandes centros urbanos. Neste trabalho aplicamos duas técnicas de séries temporais, o LSTM e o Prophet, para inferi...
Conference Paper
O crescimento do interesse em Ethereum leva a preocupações relacionadas à sua segurança, dado que já houveram ataques que exploraram o seu mecanismo de tarifação ou Penny Attack. Esses ataques afetaram a rede ocasionando lentidão nas transações e há indícios que Ethereum continua susceptível a esse tipo de ataque. Analisamos o comportamento da rede...
Preprint
Full-text available
Car-sharing is an alternative to urban mobility that has been widely adopted. However, this approach is prone to several problems, such as fleet imbalance, due to the variance of the daily demand in large urban centers. In this work, we apply two time series techniques, namely, Long Short-Term Memory (LSTM) and Prophet, to infer the demand for thre...
Chapter
The design of digital logic circuits involves transforming logical expressions into an electronic circuit seeking to minimize certain attributes such as the number of transistors. There are deterministic algorithms for this task, but they are limited to small problems. On the other hand metaheuristics can be used for solving this type of problem an...
Chapter
Full-text available
In the Multi-Agent Pickup and Delivery (MAPD) problem, agents must process a sequence of tasks that may appear in the system in different time-steps. Commonly, this problem has two parts: (i) task allocation, where the agent receives the appropriate task, and (ii) path planning, where the best path for the agent to perform its task, without collidi...
Conference Paper
The inference of Gene Regulatory Networks (GRNs) from gene expression data is a hard and widely addressed scientific challenge with potential industrial and health-care use. Discrete and continuous models of GRNs are often used (i) to understand the process, and (ii) to predict the values of the relevant variables. Here, we propose a procedure to i...
Article
Full-text available
Ethereum is a new blockchain‐based platform that is also capable of running smart contracts. Despite its increasing popularity, there is a lack of studies on characterizing this system, in special the fees paid by users and the respective delay to confirm the transactions, that is, the pending time. In this sense, we study the main features of Ethe...
Article
The evolvable hardware literature reports several methods for the evolution of digital circuits. However, there is a large variability in the set of problems and the appropriate metrics used for the evaluation of the results. In this paper, we propose a set of representative problems to comparatively evaluate metaheuristics when designing Combinati...
Article
Full-text available
Gain- and loss-framed messages about smoking behavior have commonly been used to promote cessation. However, there are still no clear conclusions as to what kind of message is more effective for motivating smokers to quit. This study compared the effectiveness of loss- and gain-framed messages in the online recruitment of smokers via Facebook Adver...
Article
Full-text available
A differential evolution algorithm (DE) is proposed to exactly satisfy the linear equality constraints present in a continuous optimization problem that may also include additional non-linear equality and inequality constraints. The proposed DE technique, denoted by DELEqC-II, is an extension of a previous method developed by the authors. In contra...
Chapter
The design of digital circuits has been widely investigated in the literature but the evolution of complex combinational logic circuits is not an easy task for Cartesian Genetic Programming (CGP). We propose here a new approach in order to increase the capacity of CGP in finding feasible circuits (those with the same response of the truth table). T...
Conference Paper
Brain-Computer Interface (BCI) is an emergent technology with a wide range of applications. For instance, it can be used for post-stroke motor rehabilitation in order to restore part of the motor control of someone injured in an accident. The BCI process involves the signal acquisition and preprocessing of data, extraction and selection of features...
Article
Full-text available
Real-world engineering design problems, like structural optimization, can be characterized as a multi-objective optimization when two or more conflicting objectives are in the problem formulation. The differential evolution (DE) algorithm is nowadays one of the most popular meta-heuristics to solve optimization problems in continuous search spaces...
Chapter
The design of digital circuits using Cartesian Genetic Programming (CGP) has been widely investigated but the evolution of complex combinational logic circuits is a hard task for CGP. We introduce here a new mutation operator for CGP that aims to reduce the number of evaluations needed to find a feasible solution by modifying the subgraph of the wo...
Chapter
This paper proposes a multiobjective Cartesian Genetic Programming with an adaptive population size to design approximate digital circuits via evolutionary algorithms, analyzing the trade-off between the most often used objectives: error, area, power dissipation, and delay. Combinational digital circuits such as adders, multipliers, and arithmetic...
Conference Paper
Full-text available
Cartesian Genetic Programming (CGP) is often applied to design combinational logic circuits. However, there is no consensus in the literature regarding the more appropriate objective function when it is desired to minimize the number of logic gates of the circuit. Thus, we analyze here two strategies: the minimization of the number of logic gates a...
Article
Full-text available
Background: Asthma and allergies prevalence increased in recent decades, being a serious global health problem. They are complex diseases with strong contextual influence, so that the use of advanced machine learning tools such as genetic programming could be important for the understanding the causal mechanisms explaining those conditions. Here,...
Article
Full-text available
This paper deals with sizing and shape structural optimization problems with respect to the minimization of the masses of truss structures considering multiple natural frequencies as the constraints of the problems. The sizing and shape design variables are discrete and continuous, respectively. It can be attractive to use a reduced number of disti...
Article
Full-text available
Introduction: Web-based interventions for smoking cessation are an innovative strategy to reduce the burden of smoking. Although many web-based interventions are freely available in many languages and have proven to be effective, so far no study has covered in detail the association between depression and smoking. Objective: The aim of this study...
Article
Recently, the interest of the researchers has grown in post-optimality analyses, with the search for intrinsic properties of the optimal solutions of a given problem. Innovization has been defined as a process of knowledge discovery, in the form of mathematical relationships between variables, objectives, constraints, and parameters, from the outpu...
Article
Stealth applications are focused in accomplishing a certain objective without being spotted by enemy patrols. Although very diffused in modern applications (security, robotic, military, games), stealthy behaviors has not been extensively studied. Here, we focus on how to obtain good stealthy behaviors by tackling two different problems: (i) how to...
Article
Full-text available
The use of Evolutionary Algorithms (EAs) to solve optimization problems has been increasing. One of the most used techniques is Particle Swarm Optimization (PSO), which is considered robust, efficient and competitive in comparison with other bio-inspired algorithms. EAs were originally designed to solve unconstrained optimization problems. However,...
Article
Grammatical Evolution (GE) is a bio-inspired metaheuristic capable of evolving programs in an arbitrary language using a formal grammar. Among the major applications of the technique, the automatic inference of models from data can be highlighted. As with other genetic programming techniques, GE has a high computational cost. However, the algorithm...
Article
Purpose The purpose of this paper is to propose and analyze the use of local surrogate models to improve differential evolution’s (DE) overall performance in computationally expensive problems. Design/methodology/approach DE is a popular metaheuristic to solve optimization problems with several variants available in the literature. Here, the offsp...
Conference Paper
The multiobjective scheduling problem on unrelated parallel machines is tackled by predator-prey techniques. Several objectives adopted in the literature were considered and the corresponding best aligned dispatch rules were associated with the predators. Also, we suggest and analyse modifications in the movement operator, in the number of predator...
Poster
Full-text available
Stealth has become a common element in modern games. One problem that developers face is the lack of techniques capable of controlling an agent that exhibits stealthy behaviors; • This dissertation presents a reinforcement learning formulation for stealth games; • Our Reinforcement Learning approach – uses high-level actions in order to interact wi...
Conference Paper
In this paper we investigate evolutionary mechanisms and propose a new mutation operator for the evolutionary design of Combinational Logic Circuits (CLCs). Understanding the root causes of evolutionary success is critical to improving existing techniques. Our focus is two-fold: to analyze beneficial mutations in Cartesian Genetic Programming, and...
Article
Full-text available
Background Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that developing countries often cannot afford. We aimed to describe the development of “Viva sem Tabaco”, an open-source web-based int...