Bruno M. Veloso

Orcid: 0000-0001-7980-0972

According to our database1, Bruno M. Veloso authored at least 66 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SWINN: Efficient nearest neighbor search in sliding windows using graphs.
Inf. Fusion, January, 2024

From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Super-Resolution Analysis for Landfill Waste Classification.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
MetroPT-3 Dataset.
Dataset, March, 2023

Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation.
Int. J. Interact. Multim. Artif. Intell., 2023

Data-driven predictive maintenance framework for railway systems.
Intell. Data Anal., 2023

Explainable Predictive Maintenance.
CoRR, 2023

Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR, 2023

Why Industry 5.0 Needs XAI 2.0?
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Predictive Maintenance, Adversarial Autoencoders and Explainability.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

XAI for Predictive Maintenance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Feature Importances as a Tool for Root Cause Analysis in Time-Series Events.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
MetroPT2: A Benchmark dataset for predictive maintenance.
Dataset, July, 2022

MetroPT: A Benchmark dataset for predictive maintenance.
Dataset, July, 2022

Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly.
Simul. Model. Pract. Theory, 2022

Stream-based explainable recommendations via blockchain profiling.
Integr. Comput. Aided Eng., 2022

Data-Driven Predictive Maintenance.
IEEE Intell. Syst., 2022

Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design.
ERCIM News, 2022

A Benchmark dataset for predictive maintenance.
CoRR, 2022

ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling.
Proceedings of the Computational Processing of the Portuguese Language, 2022

An Online Data-Driven Predictive Maintenance Approach for Railway Switches.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Ethical and Technological AI Risks Classification: A Human Vs Machine Approach.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Online Anomaly Explanation: A Case Study on Predictive Maintenance.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Analysis of Machine Learning Algorithms for Violence Detection in Audio.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

Smart Contracts for the CloudAnchor Platform.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection, 2022

A Systematic Review on Student Failure Prediction.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022

EduBot: A Proof-of-Concept for a High School Motivational Agent.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance.
Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance, 2022

2021
A Survey on Data-Driven Predictive Maintenance for the Railway Industry.
Sensors, 2021

Hyperparameter self-tuning for data streams.
Inf. Fusion, 2021

Improving Student Engagement With Project-Based Learning: A Case Study in Software Engineering.
Rev. Iberoam. de Tecnol. del Aprendiz., 2021

DEBACER: a method for slicing moderated debates.
CoRR, 2021

Crowdsourced Data Stream Mining for Tourism Recommendation.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Hyper-parameter Optimization for Latent Spaces.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Improving Smart Waste Collection Using AutoML.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

The influence of technological innovations on international business strategy before and during COVID-19 pandemic.
Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 2021

Current Trends in Learning from Data Streams.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020
On fast and scalable recurring link's prediction in evolving multi-graph streams.
Netw. Sci., 2020

A 2020 perspective on "Online guest profiling and hotel recommendation": Reliability, Scalability, Traceability and Transparency.
Electron. Commer. Res. Appl., 2020

A 2020 perspective on "Scalable modelling and recommendation using wiki-based crowdsourced repositories: " Fairness, scalability, and real-time recommendation.
Electron. Commer. Res. Appl., 2020

Interconnect bypass fraud detection: a case study.
Ann. des Télécommunications, 2020

Trust and Reputation Smart Contracts for Explainable Recommendations.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Fraud detection using heavy hitters: a case study.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Self Hyper-parameter Tuning for Stream Classification Algorithms.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Failure Detection of an Air Production Unit in Operational Context.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection, 2020

AutoML for Stream k-Nearest Neighbors Classification.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
On-line guest profiling and hotel recommendation.
Electron. Commer. Res. Appl., 2019

Scalable modelling and recommendation using wiki-based crowdsourced repositories.
Electron. Commer. Res. Appl., 2019

Stream Recommendation using Individual Hyper-Parameters.
Proceedings of the 1st International Workshop on Data-Driven Personalisation of Television co-located with the ACM International Conference on Interactive Experiences for Television and Online Video, 2019

Detecting Bursts of Activity in Telecommunications.
Proceedings of the 8th International Workshop on Big Data, 2019

Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms.
Proceedings of the 10th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2019) / The 9th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2019) / Affiliated Workshops, 2019

2018
Scalable data analytics using crowdsourced repositories and streams.
J. Parallel Distributed Comput., 2018

Personalised Dynamic Viewer Profiling for Streamed Data.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Self Hyper-parameter Tuning for Stream Recommendation Algorithms.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Self Hyper-Parameter Tuning for Data Streams.
Proceedings of the Discovery Science - 21st International Conference, 2018

2017
Renegotiation of Electronic Brokerage Contracts.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017

Personalised fading for stream data.
Proceedings of the Symposium on Applied Computing, 2017

2016
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

Collaborative Filtering with Semantic Neighbour Discovery.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2015
A Multi-Agent Brokerage Platform for Media Content Recommendation.
Int. J. Appl. Math. Comput. Sci., 2015

Media Brokerage: Agent-Based SLA Negotiation.
Proceedings of the New Contributions in Information Systems and Technologies, 2015

2013
Personalised Advertising Supported by Agents.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013


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