Bruno Lopes Dalmazo

Orcid: 0000-0002-6996-7602

According to our database1, Bruno Lopes Dalmazo authored at least 44 papers between 2010 and 2025.

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Bibliography

2025
dCC-Integrals: A generalization of CC-integrals by restricted dissimilarity functions with applications on two different contexts.
Appl. Soft Comput., 2025

Feature Selection for Stock Market Prediction: A Comparison of Relief and Information Gain Methods.
Proceedings of the 27th International Conference on Enterprise Information Systems, 2025

Predictive Analysis with Technical Indicators and Features Selection for Futures Contracts Trading.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Improving Anomaly Detection in Network Traffic Using Choquet-Based Feature Engineering for Random Forest and XGBoost Models.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Analysis of Bitcoin Trends Through the Integration of On-Chain Financial Indicators and Machine Learning.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

Enhancing Stock Market Predictions: The Role of Feature Selection Techniques in Financial Modeling.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

2024
Comparative Study of Predictive Models Based on Moving Averages Applied in Binary Options in the Financial Market.
RITA, 2024

Echo state network and classical statistical techniques for time series forecasting: A review.
Knowl. Based Syst., 2024

Federated Learning under Attack: Improving Gradient Inversion for Batch of Images.
CoRR, 2024

A SDN-Based Approach for Conflicting Energy Profiles on Partially Sustainable IoT Networks.
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024

Enhancing Privacy in Healthcare: A Multilevel Approach to (Pseudo)Anonymization.
Proceedings of the International Wireless Communications and Mobile Computing, 2024

Advances in Home Care and Real-Time Vital Signs Monitoring.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Comparing MAE and RMSE as Fitness of Genetic Algorithm for Optimizing Echo State Network Hyperparameters with Different Probabilistic Distributions.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2023
Fault Detection on the Edge and Adaptive Communication for State of Alert in Industrial Internet of Things.
Sensors, April, 2023

Systematic Review of Aggregation Functions Applied to Image Edge Detection.
Axioms, April, 2023

Analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

A Computational Model for Predicting Cryptocurrencies Using Exogenous Variables.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022
Janus: a framework to boost HPC applications in the cloud based on SDN path provisioning.
Clust. Comput., 2022

On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults.
Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

Modularized and Contract-Based Prediction Models in Programmable Networks.
Proceedings of the 21st IEEE International Symposium on Network Computing and Applications, 2022

DECONN: Combining Minimum and Neutral Energy Consumption Strategies in IoT Networks.
Proceedings of the 14th IFIP Wireless and Mobile Networking Conference, 2022

Detecting Data Injection Attacks in ROS Systems using Machine Learning.
Proceedings of the Latin American Robotics Symposium, 2022

2021
A systematic review on distributed denial of service attack defense mechanisms in programmable networks.
Int. J. Netw. Manag., 2021

Health Systems with Resilient Reporting based on Internet-of-Things.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

An Electrocardiogram-based Authentication Implementation Integrated with the Blockchain.
Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management, 2021

HTTP-DTNSec: An HTTP-Based Security Extension for Delay/Disruption Tolerant Networking.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Using Quadratic Discriminant Analysis by Intrusion Detection Systems for Port Scan and Slowloris Attack Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2019
A Prediction-based Approach for Anomaly Detection in the Cloud.
Proceedings of the Companion Proceedings of the 37th Brazilian Symposium on Computer Networks and Distributed Systems, 2019

A Proposal for IP Spoofing Mitigation at Origin in Homenet Using Software-Defined Networking.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Boosting HPC Applications in the Cloud Through JIT Traffic-Aware Path Provisioning.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Towards the Adaptation of an Active Measurement Protocol for Delay/Disruption-Tolerant Networking.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018
A Prediction-based Approach for Anomaly Detection in the Cloud
PhD thesis, 2018

Triple-Similarity Mechanism for alarm management in the cloud.
Comput. Secur., 2018

2017
Performance Analysis of Network Traffic Predictors in the Cloud.
J. Netw. Syst. Manag., 2017

2016
Online traffic prediction in the cloud.
Int. J. Netw. Manag., 2016

Expedite feature extraction for enhanced cloud anomaly detection.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

2014
Online Traffic Prediction in the Cloud: A Dynamic Window Approach.
Proceedings of the 2014 International Conference on Future Internet of Things and Cloud, 2014

2013
Identifying the root cause of failures in IT changes: Novel strategies and trade-offs.
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Predicting Traffic in the Cloud: A Statistical Approach.
Proceedings of the 2013 International Conference on Cloud and Green Computing, Karlsruhe, Germany, September 30, 2013

2011
IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs.
Proceedings of the 25th Brazilian Symposium on Software Engineering, 2011

A solution for identifying the root cause of problems in IT change management.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

Leveraging IT project lifecycle data to predict support costs.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

2010

On strategies for planning the assignment of human resources to IT change activities.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2010


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