Bruno Lopes Dalmazo

51 papers B 9C 1Journal 14Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unveiling Stock Market Trends by Deep Learning Insights With Correction Factor and Recurrent Neural Networks. Expert Syst. J. Knowl. Eng. Jair O. González, Rafael A. Berri, Giancarlo Lucca, Bruno Lopes Dalmazo, Eduardo N. Borges
2025	—	`conf`	Analysis of Bitcoin Trends Through the Integration of On-Chain Financial Indicators and Machine Learning. ICCSA (2) Arthur G. Bubolz, Giancarlo Lucca, Lizandro de Souza Oliveira, Thiago Teixeira, Rafael A. Berri, Eduardo N. Borges, Bruno Lopes Dalmazo
2025	—	`conf`	Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling. ICCSA (2) Humberto O. Bragança, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Rafael A. Berri
2025	—	`conf`	Evaluating the Power Measure with Choquet-Based Generalizations in Fuzzy Rule-Based Classification Systems. BRACIS (1) Giancarlo Lucca, Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Bruno Lopes Dalmazo, Rafael A. Berri, Renata H. S. Reiser, Adenauer C. Yamin, Cédric Marco-Detchart, Humberto Bustince
2025	—	`conf`	Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods. ICEIS (1) 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
2025	J	`jnl`	Impact of Data-Oriented and Object-Oriented Design on Performance and Cache Utilization with Artificial Intelligence Algorithms in Multi-Threaded CPUs. CoRR Gabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corrêa Cardoso, Rafael A. Berri
2025	—	`conf`	Improving Anomaly Detection in Network Traffic Using Choquet-Based Feature Engineering for Random Forest and XGBoost Models. ICCSA (3) Abreu Quevedo, Denner G. Ayres, Gabriel Teixeira, Graçaliz Pereira Dimuro, Giancarlo Lucca, Bruno Lopes Dalmazo
2025	—	`conf`	Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements. IDEAL (1) Gabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corrêa Cardoso, Rafael A. Berri
2025	J	`jnl`	Machine Learning vs. Randomness: Challenges in Predicting Binary Options Movements. CoRR Gabriel M. Arantes, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Fabian Corrêa Cardoso, Rafael A. Berri
2025	—	`conf`	Optimizing Big Data Traffic Prediction Using Generalizations of Choquet Integral with Adaptive Weighting. ICC Abreu Quevedo, Denner G. Ayres, Graçaliz Pereira Dimuro, André Riker, Giancarlo Lucca, Bruno Lopes Dalmazo
2025	—	`conf`	Predictive Analysis with Technical Indicators and Features Selection for Futures Contracts Trading. ICCSA (2) Andrey V. S. Souza, Richard F. Pinto, Bruno Lopes Dalmazo, Eduardo N. Borges, Giancarlo Lucca, Viviane L. D. de Mattos, Rafael A. Berri
2025	—	`conf`	Towards Bitcoin Trend Prediction: A Machine Learning Approach Using Blockchain-Derived Data. IDEAL (2) Arthur G. Bubolz, Marcos C. Freitas, Giancarlo Lucca, Rafael A. Berri, Eduardo N. Borges, Bruno Lopes Dalmazo
2025	J	`jnl`	dCC-Integrals: A generalization of CC-integrals by restricted dissimilarity functions with applications on two different contexts. Appl. Soft Comput. 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
2024	—	`conf`	A SDN-Based Approach for Conflicting Energy Profiles on Partially Sustainable IoT Networks. WF-IoT Yuri Santo, Bruno Lopes Dalmazo, Weverton Cordeiro, Antônio J. G. Abelém, André Riker
2024	—	`conf`	Advances in Home Care and Real-Time Vital Signs Monitoring. IDEAL (2) Giancarlo Lucca, Bruno Lopes Dalmazo, Debora Bertaco, Jeferson P. Feijo, Luiz Oscar Homann de Topin, Vinicius M. De Oliveira, Luciano M. Ribeiro
2024	J	`jnl`	Comparative Study of Predictive Models Based on Moving Averages Applied in Binary Options in the Financial Market. RITA Luccas R. Hoff, Rafael A. Berri, Eduardo N. Borges, André Riker, Bruno Lopes Dalmazo
2024	—	`conf`	Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions. IDEAL (2) Henrique Vaz de Araújo, Fabian Corrêa Cardoso, Viviane Leite Dias de Mattos, Eduardo Nunes Borges, Giancarlo Lucca, Bruno Lopes Dalmazo, Rafael Alceste Berri
2024	J	`jnl`	Echo state network and classical statistical techniques for time series forecasting: A review. Knowl. Based Syst. Fabian Corrêa Cardoso, Rafael Alceste Berri, Eduardo Nunes Borges, Bruno Lopes Dalmazo, Giancarlo Lucca, Viviane Leite Dias de Mattos
2024	B	`conf`	Enhancing Privacy in Healthcare: A Multilevel Approach to (Pseudo)Anonymization. IWCMC Pedro Henrique Rodrigues Emerick, Silvio Costa Sampaio, Bruno Lopes Dalmazo, Andre Riker, Augusto José Venâncio Neto, Roger Immich
2024	J	`jnl`	Federated Learning under Attack: Improving Gradient Inversion for Batch of Images. CoRR Luiz Leite, Yuri Santo, Bruno Lopes Dalmazo, André Riker
2023	—	`conf`	A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables. ICEIS (1) Eduardo M. Gonçalves, Eduardo N. Borges, Bruno Lopes Dalmazo, Rafael A. Berri, Giancarlo Lucca, Vinicius M. De Oliveira
2023	C	`conf`	Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks. IDEAL Jair O. González, Rafael A. Berri, Giancarlo Lucca, Bruno Lopes Dalmazo, Eduardo N. Borges
2023	J	`jnl`	Fault Detection on the Edge and Adaptive Communication for State of Alert in Industrial Internet of Things. Sensors Yuri Santo, Roger Immich, Bruno Lopes Dalmazo, André Riker
2023	J	`jnl`	Systematic Review of Aggregation Functions Applied to Image Edge Detection. Axioms Miquéias Amorim Santos Silva, Graçaliz Pereira Dimuro, Eduardo N. Borges, Bruno Lopes Dalmazo, Cédric Marco-Detchart, Giancarlo Lucca, Humberto Bustince
2022	—	`conf`	DECONN: Combining Minimum and Neutral Energy Consumption Strategies in IoT Networks. WMNC Lucas Barbosa, Bruno Lopes Dalmazo, Weverton Cordeiro, Roger Immich, Antônio J. G. Abelém, André Riker
2022	—	`conf`	Detecting Data Injection Attacks in ROS Systems using Machine Learning. LARS/SBR/WRE Rodrigo Abrantes Antunes, Bruno Lopes Dalmazo, Paulo L. J. Drews-Jr
2022	J	`jnl`	Janus: a framework to boost HPC applications in the cloud based on SDN path provisioning. Clust. Comput. Guilherme R. Pretto, Bruno Lopes Dalmazo, Jonatas Adilson Marques, Zhongke Wu, Xingce Wang, Vladimir Korkhov, Philippe O. A. Navaux, Luciano Paschoal Gaspary
2022	B	`conf`	Modularized and Contract-Based Prediction Models in Programmable Networks. NCA Michel Neves, André Riker, Jéferson Campos Nobre, Antônio J. G. Abelém, Bruno Lopes Dalmazo
2022	B	`conf`	On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults. NCA Yuri Santo, Bruno Lopes Dalmazo, Roger Immich, André Riker
2021	J	`jnl`	A systematic review on distributed denial of service attack defense mechanisms in programmable networks. Int. J. Netw. Manag. 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
2021	B	`conf`	An Electrocardiogram-based Authentication Implementation Integrated with the Blockchain. IM Mateus Stürmer Pioner, Luciano Ignaczak, Bruno Lopes Dalmazo, Elvandi da Silva Júnior, Jéferson Campos Nobre
2021	—	`conf`	HTTP-DTNSec: An HTTP-Based Security Extension for Delay/Disruption Tolerant Networking. ICCSA (1) Lucas William Paz Pinto, Bruno Lopes Dalmazo, André Riker, Jéferson Campos Nobre
2021	B	`conf`	Health Systems with Resilient Reporting based on Internet-of-Things. IWCMC Yuri Melo, Vinicius C. M. Borges, Antonio Oliveira, Bruno Lopes Dalmazo, André Riker
2021	—	`conf`	Using Quadratic Discriminant Analysis by Intrusion Detection Systems for Port Scan and Slowloris Attack Classification. ICCSA (3) 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
2019	—	`conf`	A Prediction-based Approach for Anomaly Detection in the Cloud. SBRC Companion Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2019	—	`conf`	A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking. ICCSA (1) Manoel F. Ramos, Bruno Lopes Dalmazo, Jéferson Campos Nobre
2019	—	`conf`	Boosting HPC Applications in the Cloud Through JIT Traffic-Aware Path Provisioning. ICCSA (4) Guilherme R. Pretto, Bruno Lopes Dalmazo, Jonatas Adilson Marques, Zhongke Wu, Xingce Wang, Vladimir Korkhov, Philippe O. A. Navaux, Luciano Paschoal Gaspary
2019	—	`conf`	Towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking. ICCSA (1) Carlos H. Lamb, Bruno Lopes Dalmazo, Jéferson Campos Nobre
2018	—	`—`	A Prediction-based Approach for Anomaly Detection in the Cloud Bruno Lopes Dalmazo
2018	J	`jnl`	Triple-Similarity Mechanism for alarm management in the cloud. Comput. Secur. Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2017	J	`jnl`	Performance Analysis of Network Traffic Predictors in the Cloud. J. Netw. Syst. Manag. Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2016	B	`conf`	Expedite feature extraction for enhanced cloud anomaly detection. NOMS Bruno Lopes Dalmazo, João P. Vilela, Paulo Simões, Marília Curado
2016	J	`jnl`	Online traffic prediction in the cloud. Int. J. Netw. Manag. Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2014	—	`conf`	Online Traffic Prediction in the Cloud: A Dynamic Window Approach. FiCloud Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2013	B	`conf`	Identifying the root cause of failures in IT changes: Novel strategies and trade-offs. IM Ricardo Luis dos Santos, Juliano Araújo Wickboldt, Bruno Lopes Dalmazo, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary, Roben Castagna Lunardi
2013	—	`conf`	Predicting Traffic in the Cloud: A Statistical Approach. CGC Bruno Lopes Dalmazo, João P. Vilela, Marília Curado
2011	—	`conf`	A solution for identifying the root cause of problems in IT change management. Integrated Network Management Ricardo Luis dos Santos, Juliano Araújo Wickboldt, Roben Castagna Lunardi, Bruno Lopes Dalmazo, Lisandro Zambenedetti Granville, Luciano Paschoal Gaspary, Claudio Bartolini, Marianne Hickey
2011	—	`conf`	IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs. SBES 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
2011	—	`conf`	Leveraging IT project lifecycle data to predict support costs. Integrated Network Management 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
2010	B	`conf`	Computer-generated comprehensive risk assessment for IT project management. NOMS 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
2010	B	`conf`	On strategies for planning the assignment of human resources to IT change activities. NOMS 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