Bruno Veloso

76 papers A* 1A 1B 3C 1Misc 8Journal 32Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
A two-stage framework for early failure detection in predictive maintenance: A case study on metro trains.
Neurocomputing
Luis Toribio, Bruno Veloso, João Gama, Amelia Zafra
2026 J jnl
Building of transformer-based RUL predictors supported by explainability techniques: Application on real industrial datasets.
Inf. Fusion
Ricardo Dintén, Marta E. Zorrilla, Bruno Veloso, João Gama
2026 J jnl
Fish swarm parameter self-tuning for data streams.
Data Min. Knowl. Discov.
Bruno Veloso, Hugo de Andrade Amorim Neto, Fernando Buarque, João Gama
2026 J jnl
Interpretable rules for online failure prediction: a case study on metro do porto datasets.
Int. J. Data Sci. Anal.
Matthias Jakobs, Bruno Veloso, João Gama
2025 J jnl
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal.
CoRR
Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo-Rial
2025 Misc conf
Efficient Instance Selection in Tree-Based Models for Data Streams Classification.
SAC
Aldo Marcelo Paim, João Gama, Bruno Veloso, Fabrício Enembreck, Rita P. Ribeiro
2025 — conf
Interpretable Predictive Maintenance: Combining Anomaly Detection with Quantitative Root Cause Analysis.
EPIA (2)
Inês Barbosa, João Gama, Bruno Veloso
2025 J jnl
Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset.
CoRR
Matthias Jakobs, Bruno Veloso, João Gama
2025 J jnl
Modeling events and interactions through temporal processes: A survey.
Neurocomputing
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2025 J jnl
Towards adaptive and transparent tourism recommendations: A survey.
Expert Syst. J. Knowl. Eng.
Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
2024 J jnl
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance.
CoRR
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 Misc conf
Detecting and Explaining Anomalies in the Air Production Unit of a Train.
SAC
Narjes Davari, Bruno Veloso, Rita Paula Ribeiro, João Manuel Portela da Gama
2024 — conf
Early Failure Detection for Air Production Unit in Metro Trains.
HAIS (1)
Amelia Zafra, Bruno Veloso, João Gama
2024 — conf
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning.
PROPOR (1)
Alexandre Alcoforado, Lucas Hideki Okamura, Israel Campos Fama, Bárbara Fernandes Dias Bueno, Arnold Moya Lavado, Thomas Palmeira Ferraz, Bruno Veloso, Anna Helena Reali Costa
2024 J jnl
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning.
CoRR
Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura, Israel Campos Fama, Arnold Moya Lavado, Bárbara Dias Bueno, Bruno Veloso, Anna Helena Reali Costa
2024 J jnl
From fault detection to anomaly explanation: A case study on predictive maintenance.
J. Web Semant.
João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
2024 J jnl
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach.
Data Min. Knowl. Discov.
Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
2024 A conf
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation.
ECAI
Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama
2024 J jnl
SWINN: Efficient nearest neighbor search in sliding windows using graphs.
Inf. Fusion
Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2024 J jnl
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly.
CoRR
Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo-Rial, Bruno Veloso, Adriana E. Chis, Horacio González-Vélez
2024 — conf
Super-Resolution Analysis for Landfill Waste Classification.
IDA (1)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2024 J jnl
Super-Resolution Analysis for Landfill Waste Classification.
CoRR
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
2023 J jnl
Data-driven predictive maintenance framework for railway systems.
Intell. Data Anal.
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
2023 J jnl
Explainable Predictive Maintenance.
CoRR
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed-Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama
2023 — conf
Feature Importances as a Tool for Root Cause Analysis in Time-Series Events.
ICCS (5)
Michal Kuk, Szymon Bobek, Bruno Veloso, Lala H. Rajaoarisoa, Grzegorz J. Nalepa
2023 J jnl
Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2023 — conf
Predictive Maintenance, Adversarial Autoencoders and Explainability.
ECML/PKDD (7)
Miguel E. P. Silva, Bruno Veloso, João Gama
2023 J jnl
Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation.
Int. J. Interact. Multim. Artif. Intell.
Dalila Durães, Bruno Veloso, Paulo Novais
2023 — conf
Why Industry 5.0 Needs XAI 2.0?
xAI (Late-breaking Work, Demos, Doctoral Consortium)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
2023 A* conf
XAI for Predictive Maintenance.
KDD
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
2022 J jnl
A Benchmark dataset for predictive maintenance.
CoRR
Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira
2022 B conf
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set.
IDA
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2022 — conf
A Systematic Review on Student Failure Prediction.
MIS4TEL (Workshops)
Bruno Veloso, Maria Araújo Barbosa, Hugo Faria, Francisco Supino Marcondes, Dalila Durães, Paulo Novais
2022 — conf
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance.
ICEGOV
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
2022 — conf
An Online Data-Driven Predictive Maintenance Approach for Railway Switches.
PKDD/ECML Workshops (2)
Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama
2022 — conf
Analysis of Machine Learning Algorithms for Violence Detection in Audio.
PAAMS (Workshops)
Bruno Veloso, Dalila Durães, Paulo Novais
2022 J jnl
Data-Driven Predictive Maintenance.
IEEE Intell. Syst.
João Gama, Rita P. Ribeiro, Bruno Veloso
2022 C conf
EduBot: A Proof-of-Concept for a High School Motivational Agent.
IDEAL
Hugo Faria, Maria Araújo Barbosa, Bruno Veloso, Francisco Supino Marcondes, Celso Lima, Dalila Durães, Paulo Novais
2022 — conf
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach.
PKDD/ECML Workshops (1)
Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama
2022 — conf
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set.
PKDD/ECML Workshops (2)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama
2022 J jnl
Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design.
ERCIM News
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
2022 — conf
Online Anomaly Explanation: A Case Study on Predictive Maintenance.
PKDD/ECML Workshops (2)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
2022 J jnl
Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly.
Simul. Model. Pract. Theory
Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo-Rial, Bruno Veloso, Adriana E. Chis, Horacio González-Vélez
2022 Misc conf
Smart Contracts for the CloudAnchor Platform.
PAAMS
Eduardo Vasco, Bruno Veloso, Benedita Malheiro
2022 J jnl
Stream-based explainable recommendations via blockchain profiling.
Integr. Comput. Aided Eng.
Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo, Adriana E. Chis, Horacio González-Vélez
2021 J jnl
A Survey on Data-Driven Predictive Maintenance for the Railway Industry.
Sensors
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2021 — conf
Crowdsourced Data Stream Mining for Tourism Recommendation.
WorldCIST (1)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
2021 — conf
Current Trends in Learning from Data Streams.
BDA
João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
2021 — conf
Hyper-parameter Optimization for Latent Spaces.
ECML/PKDD (3)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
2021 J jnl
Hyperparameter self-tuning for data streams.
Inf. Fusion
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2021 — conf
Improving Smart Waste Collection Using AutoML.
PKDD/ECML Workshops (2)
Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama
2021 J jnl
Improving Student Engagement With Project-Based Learning: A Case Study in Software Engineering.
Rev. Iberoam. de Tecnol. del Aprendiz.
Paula Morais, Maria João Ferreira, Bruno Veloso
2021 B conf
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.
DSAA
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama
2021 — conf
The influence of technological innovations on international business strategy before and during COVID-19 pandemic.
CENTERIS/ProjMAN/HCist
Carla Santos Pereira, Bruno Veloso, Natércia Durão, Fernando Moreira
2020 J jnl
A 2020 perspective on "Scalable modelling and recommendation using wiki-based crowdsourced repositories: " Fairness, scalability, and real-time recommendation.
Electron. Commer. Res. Appl.
Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez, Juan-Carlos Burguillo
2020 — conf
AutoML for Stream k-Nearest Neighbors Classification.
IEEE BigData
Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama
2020 — conf
Failure Detection of an Air Production Unit in Operational Context.
IoT Streams/ITEM@PKDD/ECML
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
2020 Misc conf
Fraud detection using heavy hitters: a case study.
SAC
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2020 Misc conf
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform.
PAAMS
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama
2020 J jnl
Interconnect bypass fraud detection: a case study.
Ann. des Télécommunications
Bruno Veloso, Shazia Tabassum, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2020 J jnl
On fast and scalable recurring link's prediction in evolving multi-graph streams.
Netw. Sci.
Shazia Tabassum, Bruno Veloso, João Gama
2020 — conf
Self Hyper-parameter Tuning for Stream Classification Algorithms.
IoT Streams/ITEM@PKDD/ECML
Bruno Veloso, João Gama
2020 — conf
Trust and Reputation Smart Contracts for Explainable Recommendations.
WorldCIST (1)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez
2019 — conf
Detecting Bursts of Activity in Telecommunications.
BigMine@KDD
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
2019 — conf
Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms.
EUSPN/ICTH
Bruno Veloso, Fátima Leal, Benedita Malheiro, Fernando Moreira
2018 — conf
Personalised Dynamic Viewer Profiling for Streamed Data.
WorldCIST (2)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, João Gama
2018 J jnl
Scalable data analytics using crowdsourced repositories and streams.
J. Parallel Distributed Comput.
Bruno Veloso, Fátima Leal, Horacio González-Vélez, Benedita Malheiro, Juan-Carlos Burguillo
2018 B conf
Self Hyper-Parameter Tuning for Data Streams.
DS
Bruno Veloso, João Gama, Benedita Malheiro
2018 — conf
Self Hyper-parameter Tuning for Stream Recommendation Algorithms.
DMLE/IOTSTREAMING@PKDD/ECML
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
2017 Misc conf
Personalised fading for stream data.
SAC
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss
2017 — conf
Renegotiation of Electronic Brokerage Contracts.
WorldCIST (2)
Rúben Cunha, Bruno Veloso, Benedita Malheiro
2016 Misc conf
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources.
PAAMS
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo
2016 — conf
Collaborative Filtering with Semantic Neighbour Discovery.
IBERAMIA
Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
2015 J jnl
A Multi-Agent Brokerage Platform for Media Content Recommendation.
Int. J. Appl. Math. Comput. Sci.
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo
2015 — conf
Media Brokerage: Agent-Based SLA Negotiation.
WorldCIST (1)
Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
2013 Misc conf
Personalised Advertising Supported by Agents.
DCAI
Bruno Veloso, Luís Sousa, Benedita Malheiro