On strategies for planning the assignment of human resources to IT change activities. - Roben Castagna Lunardi; Fabrício Girardi Andreis; Weverton Luis da Costa Cordeiro; Juliano Araújo Wickboldt; Bruno Lopes Dalmazo; Ricardo Luis dos Santos; Luís Armando Bianchin; Luciano Paschoal Gaspary; Lisandro Zambenedetti Granville; Claudio Bartolini (NOMS, 2010)

Computer-generated comprehensive risk assessment for IT project management. - Juliano Araújo Wickboldt; Luís Armando Bianchin; Roben Castagna Lunardi; Fabrício Girardi Andreis; Ricardo Luis dos Santos; Bruno Lopes Dalmazo; Weverton Luis da Costa Cordeiro; Abraham Lincoln Rabelo de Sousa; Lisandro Zambenedetti Granville; Luciano Paschoal Gaspary; Claudio Bartolini (NOMS, 2010)

Leveraging IT project lifecycle data to predict support costs. - Bruno Lopes Dalmazo; Weverton Luis da Costa Cordeiro; Abraham Lincoln Rabelo de Sousa; Juliano Araújo Wickboldt; Roben Castagna Lunardi; Ricardo Luis dos Santos; Luciano Paschoal Gaspary; Lisandro Zambenedetti Granville; Claudio Bartolini; Marianne Hickey (Integrated Network Management, 2011)

A solution for identifying the root cause of problems in IT change management. - Ricardo Luis dos Santos; Juliano Araújo Wickboldt; Roben Castagna Lunardi; Bruno Lopes Dalmazo; Lisandro Zambenedetti Granville; Luciano Paschoal Gaspary; Claudio Bartolini; Marianne Hickey (Integrated Network Management, 2011)

IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs. - Bruno Lopes Dalmazo; Abraham Lincoln Rabelo de Sousa; Weverton Luis da Costa Cordeiro; Juliano Araújo Wickboldt; Roben Castagna Lunardi; Ricardo Luis dos Santos; Luciano Paschoal Gaspary; Lisandro Zambenedetti Granville; Claudio Bartolini; Marianne Hickey (SBES, 2011)

Predicting Traffic in the Cloud: A Statistical Approach. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (CGC, 2013)

Identifying the root cause of failures in IT changes: Novel strategies and trade-offs. - Ricardo Luis dos Santos; Juliano Araújo Wickboldt; Bruno Lopes Dalmazo; Lisandro Zambenedetti Granville; Luciano Paschoal Gaspary; Roben Castagna Lunardi (IM, 2013)

Online Traffic Prediction in the Cloud: A Dynamic Window Approach. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (FiCloud, 2014)

Expedite feature extraction for enhanced cloud anomaly detection. - Bruno Lopes Dalmazo; João P. Vilela; Paulo Simões 001; Marília Curado (NOMS, 2016)

Online traffic prediction in the cloud. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (Int. J. Netw. Manag., 2016)

Performance Analysis of Network Traffic Predictors in the Cloud. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (J. Netw. Syst. Manag., 2017)

Triple-Similarity Mechanism for alarm management in the cloud. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (Comput. Secur., 2018)

A Prediction-based Approach for Anomaly Detection in the Cloud - Bruno Lopes Dalmazo (2018)

Towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking. - Carlos H. Lamb; Bruno Lopes Dalmazo; Jéferson Campos Nobre (ICCSA (1), 2019)

Boosting HPC Applications in the Cloud Through JIT Traffic-Aware Path Provisioning. - Guilherme R. Pretto; Bruno Lopes Dalmazo; Jonatas Adilson Marques; Zhongke Wu; Xingce Wang; Vladimir Korkhov; Philippe O. A. Navaux; Luciano Paschoal Gaspary (ICCSA (4), 2019)

A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking. - Manoel F. Ramos; Bruno Lopes Dalmazo; Jéferson Campos Nobre (ICCSA (1), 2019)

A Prediction-based Approach for Anomaly Detection in the Cloud. - Bruno Lopes Dalmazo; João P. Vilela; Marília Curado (SBRC Companion, 2019)

Using Quadratic Discriminant Analysis by Intrusion Detection Systems for Port Scan and Slowloris Attack Classification. - Vinícius M. Deolindo; Bruno Lopes Dalmazo; Marcus Vinicius Brito da Silva; Luiz Ricardo Bertoldi de Oliveira; Allan de B. Silva; Lisandro Zambenedetti Granville; Luciano Paschoal Gaspary; Jéferson Campos Nobre (ICCSA (3), 2021)

HTTP-DTNSec: An HTTP-Based Security Extension for Delay/Disruption Tolerant Networking. - Lucas William Paz Pinto; Bruno Lopes Dalmazo; André Riker; Jéferson Campos Nobre (ICCSA (1), 2021)

An Electrocardiogram-based Authentication Implementation Integrated with the Blockchain. - Mateus Stürmer Pioner; Luciano Ignaczak; Bruno Lopes Dalmazo; Elvandi da Silva Júnior; Jéferson Campos Nobre (IM, 2021)

Health Systems with Resilient Reporting based on Internet-of-Things. - Yuri Melo; Vinicius C. M. Borges; Antonio Oliveira; Bruno Lopes Dalmazo; André Riker (IWCMC, 2021)

A systematic review on distributed denial of service attack defense mechanisms in programmable networks. - Bruno Lopes Dalmazo; Jonatas Adilson Marques; Lucas Rodrigues Costa; Michel S. Bonfim; Ranyelson Neres Carvalho; Anderson Santos da Silva; Stenio Fernandes; Jacir Luiz Bordim; Eduardo Alchieri; Alberto Schaeffer-Filho; Luciano Paschoal Gaspary; Weverton Cordeiro (Int. J. Netw. Manag., 2021)

Detecting Data Injection Attacks in ROS Systems using Machine Learning. - Rodrigo Abrantes Antunes; Bruno Lopes Dalmazo; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

DECONN: Combining Minimum and Neutral Energy Consumption Strategies in IoT Networks. - Lucas Barbosa; Bruno Lopes Dalmazo; Weverton Cordeiro; Roger Immich; Antônio J. G. Abelém; André Riker (WMNC, 2022)

Modularized and Contract-Based Prediction Models in Programmable Networks. - Michel Neves; André Riker; Jéferson Campos Nobre; Antônio J. G. Abelém; Bruno Lopes Dalmazo (NCA, 2022)

On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults. - Yuri Santo; Bruno Lopes Dalmazo; Roger Immich; André Riker (NCA, 2022)

Janus: a framework to boost HPC applications in the cloud based on SDN path provisioning. - Guilherme R. Pretto; Bruno Lopes Dalmazo; Jonatas Adilson Marques; Zhongke Wu; Xingce Wang; Vladimir Korkhov; Philippe O. A. Navaux; Luciano Paschoal Gaspary (Clust. Comput., 2022)

A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables. - Eduardo M. Gonçalves; Eduardo N. Borges; Bruno Lopes Dalmazo; Rafael A. Berri; Giancarlo Lucca; Vinicius M. De Oliveira (ICEIS (1), 2023)

Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks. - Jair O. González; Rafael A. Berri; Giancarlo Lucca; Bruno Lopes Dalmazo; Eduardo N. Borges (IDEAL, 2023)

Systematic Review of Aggregation Functions Applied to Image Edge Detection. - Miquéias Amorim Santos Silva; Graçaliz Pereira Dimuro; Eduardo N. Borges; Bruno Lopes Dalmazo; Cédric Marco-Detchart; Giancarlo Lucca; Humberto Bustince (Axioms, 2023)

Fault Detection on the Edge and Adaptive Communication for State of Alert in Industrial Internet of Things. - Yuri Santo; Roger Immich; Bruno Lopes Dalmazo; André Riker (Sensors, 2023)

Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions. - Henrique Vaz de Araújo; Fabian Corrêa Cardoso; Viviane Leite Dias de Mattos; Eduardo Nunes Borges; Giancarlo Lucca; Bruno Lopes Dalmazo; Rafael Alceste Berri (IDEAL (2), 2024)

Advances in Home Care and Real-Time Vital Signs Monitoring. - Giancarlo Lucca; Bruno Lopes Dalmazo; Debora Bertaco; Jeferson P. Feijo; Luiz Oscar Homann de Topin; Vinicius M. De Oliveira; Luciano M. Ribeiro (IDEAL (2), 2024)

Enhancing Privacy in Healthcare: A Multilevel Approach to (Pseudo)Anonymization. - Pedro Henrique Rodrigues Emerick; Silvio Costa Sampaio; Bruno Lopes Dalmazo; Andre Riker; Augusto José Venâncio Neto; Roger Immich (IWCMC, 2024)

A SDN-Based Approach for Conflicting Energy Profiles on Partially Sustainable IoT Networks. - Yuri Santo; Bruno Lopes Dalmazo; Weverton Cordeiro; Antônio J. G. Abelém; André Riker (WF-IoT, 2024)

Federated Learning under Attack: Improving Gradient Inversion for Batch of Images. - Luiz Leite; Yuri Santo; Bruno Lopes Dalmazo; André Riker (CoRR, 2024)

Echo state network and classical statistical techniques for time series forecasting: A review. - Fabian Corrêa Cardoso; Rafael Alceste Berri; Eduardo Nunes Borges; Bruno Lopes Dalmazo; Giancarlo Lucca; Viviane Leite Dias de Mattos (Knowl. Based Syst., 2024)

Comparative Study of Predictive Models Based on Moving Averages Applied in Binary Options in the Financial Market. - Luccas R. Hoff; Rafael A. Berri; Eduardo N. Borges; André Riker; Bruno Lopes Dalmazo (RITA, 2024)

Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling. - Humberto O. Bragança; Richard F. Pinto; Bruno Lopes Dalmazo; Eduardo N. Borges; Giancarlo Lucca; Viviane L. D. de Mattos; Rafael A. Berri (ICCSA (2), 2025)

Analysis of Bitcoin Trends Through the Integration of On-Chain Financial Indicators and Machine Learning. - Arthur G. Bubolz; Giancarlo Lucca; Lizandro de Souza Oliveira; Thiago Teixeira; Rafael A. Berri; Eduardo N. Borges; Bruno Lopes Dalmazo (ICCSA (2), 2025)

Improving Anomaly Detection in Network Traffic Using Choquet-Based Feature Engineering for Random Forest and XGBoost Models. - Abreu Quevedo; Denner Ayres; Gabriel Teixeira; Graçaliz Pereira Dimuro; Giancarlo Lucca; Bruno Lopes Dalmazo (ICCSA (3), 2025)

Predictive Analysis with Technical Indicators and Features Selection for Futures Contracts Trading. - Andrey V. S. Souza; Richard F. Pinto; Bruno Lopes Dalmazo; Eduardo N. Borges; Giancarlo Lucca; Viviane L. D. de Mattos; Rafael A. Berri (ICCSA (2), 2025)

Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods. - Humberto O. Bragança; Rafael A. Berri; Bruno Lopes Dalmazo; Eduardo N. Borges; Viviane L. D. de Mattos; Richard F. Pinto; Fabian Corrêa Cardoso; Giancarlo Lucca (ICEIS (1), 2025)

dCC-Integrals: A generalization of CC-integrals by restricted dissimilarity functions with applications on two different contexts. - Giancarlo Lucca; Bruno Lopes Dalmazo; Denner G. Ayres; Tiago da Cruz Asmus; Joelson Sartori; Hélida Salles Santos; Eduardo N. Borges; Benjamín R. C. Bedregal; Humberto Bustince; Graçaliz Pereira Dimuro (Appl. Soft Comput., 2025)