Bruno Veloso

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 60

Top Topics

Reputation Models

Parameter Tuning

Top Venues

PKDD/ECML Workshops (2)

Publications

João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance. CoRR (2024)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
Super-Resolution Analysis for Landfill Waste Classification. IDA (1) (2024)
Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. Data Min. Knowl. Discov. 38 (3) (2024)
Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura, Israel Campos Fama, Arnold Moya Lavado, Bárbara Dias Bueno, Bruno Veloso, Anna Helena Reali Costa
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning. CoRR (2024)
Alexandre Alcoforado, Lucas Hideki Okamura, Israel Campos Fama, Bárbara Fernandes Dias Bueno, Arnold Moya Lavado, Thomas Palmeira Ferraz, Bruno Veloso, Anna Helena Reali Costa
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning. PROPOR (2024)
Narjes Davari, Bruno Veloso, Rita Paula Ribeiro, João Manuel Portela da Gama
Detecting and Explaining Anomalies in the Air Production Unit of a Train. SAC (2024)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
Super-Resolution Analysis for Landfill Waste Classification. CoRR (2024)
Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo-Rial, Bruno Veloso, Adriana E. Chis, Horacio González-Vélez
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly. CoRR (2024)
Saulo Martiello Mastelini, Bruno Veloso, Max Halford, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101 (2024)
João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso
XAI for Predictive Maintenance. KDD (2023)
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR (2023)
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
Data-driven predictive maintenance framework for railway systems. Intell. Data Anal. 27 (4) (2023)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
Why Industry 5.0 Needs XAI 2.0? xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
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
Explainable Predictive Maintenance. CoRR (2023)
Dalila Durães, Bruno Veloso, Paulo Novais
Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation. Int. J. Interact. Multim. Artif. Intell. 8 (3) (2023)
Miguel E. P. Silva, Bruno Veloso, João Gama
Predictive Maintenance, Adversarial Autoencoders and Explainability. ECML/PKDD (7) (2023)
Michal Kuk, Szymon Bobek, Bruno Veloso, Lala H. Rajaoarisoa, Grzegorz J. Nalepa
Feature Importances as a Tool for Root Cause Analysis in Time-Series Events. ICCS (5) (2023)
Bruno Veloso, Dalila Durães, Paulo Novais
Analysis of Machine Learning Algorithms for Violence Detection in Audio. PAAMS (Workshops) (2022)
Narjes Davari, Sepideh Pashami, Bruno Veloso, Slawomir Nowaczyk, Yuantao Fan, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA (2022)
Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Ehsan Aminian, Bruno Veloso, João Gama
Online Anomaly Explanation: A Case Study on Predictive Maintenance. PKDD/ECML Workshops (2) (2022)
Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira
A Benchmark dataset for predictive maintenance. CoRR (2022)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set. PKDD/ECML Workshops (2) (2022)
João Gama, Rita P. Ribeiro, Bruno Veloso
Data-Driven Predictive Maintenance. IEEE Intell. Syst. 37 (4) (2022)
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance. ICEGOV (2022)
Hugo Faria, Maria Araújo Barbosa, Bruno Veloso, Francisco Supino Marcondes, Celso Lima, Dalila Durães, Paulo Novais
EduBot: A Proof-of-Concept for a High School Motivational Agent. IDEAL (2022)
Silvia García-Méndez, Fátima Leal, Benedita Malheiro, Juan C. Burguillo-Rial, Bruno Veloso, Adriana E. Chis, Horacio González-Vélez
Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly. Simul. Model. Pract. Theory 120 (2022)
Bruno Veloso, Maria Araújo Barbosa, Hugo Faria, Francisco Supino Marcondes, Dalila Durães, Paulo Novais
A Systematic Review on Student Failure Prediction. MIS4TEL (Workshops) (2022)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo, Adriana E. Chis, Horacio González-Vélez
Stream-based explainable recommendations via blockchain profiling. Integr. Comput. Aided Eng. 29 (1) (2022)
Eduardo Vasco, Bruno Veloso, Benedita Malheiro
Smart Contracts for the CloudAnchor Platform. PAAMS (2022)
Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach. PKDD/ECML Workshops (1) (2022)
Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama
Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design. ERCIM News 2022 (131) (2022)
Emanuel Sousa Tomé, Rita P. Ribeiro, Bruno Veloso, João Gama
An Online Data-Driven Predictive Maintenance Approach for Railway Switches. PKDD/ECML Workshops (2) (2022)
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
A Survey on Data-Driven Predictive Maintenance for the Railway Industry. Sensors 21 (17) (2021)
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
Hyperparameter self-tuning for data streams. Inf. Fusion 76 (2021)
Paula Morais, Maria João Ferreira, Bruno Veloso
Improving Student Engagement With Project-Based Learning: A Case Study in Software Engineering. Rev. Iberoam. de Tecnol. del Aprendiz. 16 (1) (2021)
Carla Santos Pereira, Bruno Veloso, Natércia Durão, Fernando Moreira
The influence of technological innovations on international business strategy before and during COVID-19 pandemic. CENTERIS/ProjMAN/HCist (2021)
João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro
Current Trends in Learning from Data Streams. BDA (2021)
Narjes Davari, Bruno Veloso, Rita P. Ribeiro, Pedro Mota Pereira, João Gama
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. DSAA (2021)
Bruno Veloso, Luciano Caroprese, Matthias König, Sónia Teixeira, Giuseppe Manco, Holger H. Hoos, João Gama
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) (2021)
Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama
Improving Smart Waste Collection Using AutoML. PKDD/ECML Workshops (2) (2021)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
Crowdsourced Data Stream Mining for Tourism Recommendation. WorldCIST (1) (2021)
Bruno Veloso, João Gama
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML (2020)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez
Trust and Reputation Smart Contracts for Explainable Recommendations. WorldCIST (1) (2020)
Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez, Juan-Carlos Burguillo
A 2020 perspective on "Scalable modelling and recommendation using wiki-based crowdsourced repositories: " Fairness, scalability, and real-time recommendation. Electron. Commer. Res. Appl. 40 (2020)
Mariana Barros, Bruno Veloso, Pedro Mota Pereira, Rita P. Ribeiro, João Gama
Failure Detection of an Air Production Unit in Operational Context. IoT Streams/ITEM@PKDD/ECML (2020)
Shazia Tabassum, Bruno Veloso, João Gama
On fast and scalable recurring link's prediction in evolving multi-graph streams. Netw. Sci. 8 (S1) (2020)
Bruno Veloso, Shazia Tabassum, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Interconnect bypass fraud detection: a case study. Ann. des Télécommunications 75 (9-10) (2020)
Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData (2020)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform. PAAMS (2020)
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Fraud detection using heavy hitters: a case study. SAC (2020)
Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama
Detecting Bursts of Activity in Telecommunications. BigMine@KDD (2019)
Bruno Veloso, Fátima Leal, Benedita Malheiro, Fernando Moreira
Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms. EUSPN/ICTH (2019)
Bruno Veloso, João Gama, Benedita Malheiro
Self Hyper-Parameter Tuning for Data Streams. DS (2018)
Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Bruno Veloso, Fátima Leal, Horacio González-Vélez, Benedita Malheiro, Juan-Carlos Burguillo
Scalable data analytics using crowdsourced repositories and streams. J. Parallel Distributed Comput. 122 (2018)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, João Gama
Personalised Dynamic Viewer Profiling for Streamed Data. WorldCIST (2) (2018)
Rúben Cunha, Bruno Veloso, Benedita Malheiro
Renegotiation of Electronic Brokerage Contracts. WorldCIST (2) (2017)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss
Personalised fading for stream data. SAC (2017)
Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
Collaborative Filtering with Semantic Neighbour Discovery. IBERAMIA (2016)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources. PAAMS (2016)
Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo
A Multi-Agent Brokerage Platform for Media Content Recommendation. Int. J. Appl. Math. Comput. Sci. 25 (3) (2015)
Bruno Veloso, Benedita Malheiro, Juan C. Burguillo
Media Brokerage: Agent-Based SLA Negotiation. WorldCIST (1) (2015)
Bruno Veloso, Luís Sousa, Benedita Malheiro
Personalised Advertising Supported by Agents. DCAI (2013)