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Bruno Veloso is an auxiliary professor at the School of Economics and Management - University of Porto, Portugal. He is also a Senior Researcher at LIAAD - INESCTEC (Laboratory of Artificial Intelligence and Decision Support). He received his degree in Electronics and Computer Engineering in 2010, and 2012, he finished his MSc in Electronics and Computer Engineer in Telecommunications at Instituto Superior de Engenharia do Porto, Portugal. He has an International PhD in Telematics Engineering from the University of Vigo. He started his career developing scientific research in the field of multi-agent systems. Machine learning, data streams and AutoML absorbed his interest in the last years. He develops scientific research in Artificial Intelligence, which involves multi-agent systems and Machine Learning. Bruno has authored over 50 publications in peer-reviewed international journals, book chapters and conference proceedings. During the last few years, he has served as an expert/reviewer of several conferences and journals, and he was also a supervisor or co-supervisor of MSc students.
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Identificação

Identificação pessoal

Nome completo
Bruno Veloso

Nomes de citação

  • Veloso, Bruno

Identificadores de autor

Ciência ID
9F1F-8DBD-B5E1
ORCID iD
0000-0001-7980-0972

Endereços de correio eletrónico

  • bruno.miguel.veloso@gmail.com (Profissional)

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Francês Utilizador elementar (A1) Utilizador independente (B1) Utilizador elementar (A1) Utilizador elementar (A1)
Formação
Grau Classificação
2013/03/01 - 2017/09/11
Concluído
 Telematics Engineering (Doctor)
Universidade de Vigo, Espanha
"Media Content Personalisation Brokerage Platform" (TESE/DISSERTAÇÃO)
 Sobresaliente cum laude
2010/09/01 - 2012/10/31
Concluído
 Engenharia Eletrotécnica e de Computadores (Mestrado integrado)
Especialização em Ramo das Telecomunicações
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
"Media components transaction supported by agents." (TESE/DISSERTAÇÃO)
2007/09/01 - 2010/07/31
Concluído
 Engenharia Eletrotécnica e de Computadores (Licenciatura)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2013/03/01 - Atual Investigador (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/02/01 - Atual Professor Auxiliar (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
2022/09/01 - 2023/01/31 Professor Auxiliar Convidado (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
2018/09/01 - 2023/01/31 Professor Auxiliar (Docente Universitário) Universidade Portucalense Infante Dom Henrique, Portugal
2021/09/01 - 2022/07/31 Professor Auxiliar Convidado (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
2021/05/01 - 2021/07/31 Assistente convidado (Docente Ensino Superior Politécnico) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2019/09/01 - 2020/08/31 Professor Auxiliar Convidado (Docente Universitário) Universidade do Porto Faculdade de Economia, Portugal
Universidade do Porto Faculdade de Economia, Portugal

Cargos e Funções

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/09/01 - 2023/01/31 Coordinator of the Bsc in Informatics Engineering Universidade Portucalense Infante Dom Henrique, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2020/09/01 - 2023/01/31 Coordinator of the Msc Data Science Universidade Portucalense Infante Dom Henrique, Portugal
Projetos

Bolsa

Designação Financiadores
2017/11/22 - 2018/06/30 TEC4Growth – RL SMILES – Smart, mobile, Intelligent and Large Scale Sensing and analytics
NORTE-01-0145-FEDER-000020
Bolseiro de Doutoramento
Laboratório de Inteligência Artificial e Apoio à Decisão, Portugal
Concluído
2014/08/18 - 2014/12/31 CloudAnchor: Modular Platform for the Integration and Management of Federated Cloud Computing Platforms
QREN 23151
Bolseiro de Mestrado
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
Concluído

Projeto

Designação Financiadores
2024/01 - 2025/12 AI Leaders
2023-2-PL01-KA220-HED-000180952
Universidade do Porto Faculdade de Economia, Portugal
Em curso
2018/12/01 - 2021/05/30 FailStopper - Early detection of public transport vehicle breakdowns in an operational environment
(DSAIPA/DS/0086/2018)
Investigador
2019/04/01 - 2019/12/31 ML-ABA - Machine Learn based Adaptive Business Assurance, Individual Demonstration Projects
FCOMP-01-0202-FEDER-038204
Investigador
Laboratório de Inteligência Artificial e Apoio à Decisão, Portugal
Em curso
2019/02/01 - 2019/12/31 Project under the FCT Arrangement/Agreement - Scientific and technological cooperation FCT/INDIA-2017/2019
FCT/4755/3/5/2017/S
Investigador
Laboratório de Inteligência Artificial e Apoio à Decisão, Portugal
Em curso

Outro

Designação Financiadores
2021/03/01 - 2023/03/01 Explainable Predictive Maintenance
CHIST-ERA/0004/2019
COPI
2021/01/01 - 2021/07/01 Online AUTOML
Humane AI: Toward AI Systems That Augment and Empower Humans by Understanding Us, our Society and the World Around Us'' (grant \#820437)
Investigador
Produções

Publicações

Artigo em conferência
  1. Narjes Davari; Bruno Veloso; Rita Paula Ribeiro; Joao Manuel Portela Da Gama. "Detecting and Explaining Anomalies in the Air Production Unit of a Train". 2024.
    10.1145/3605098.3635906
  2. Alcoforado, A; Okamura, LH; Fama, IC; Dias Bueno, BF; Lavado, AM; Ferraz, TP; Veloso, B; Reali Costa, AH. "From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning". 2024.
  3. Snatos, R; Brandão, A; Veloso, B; de Vasconcelos, JB. "Negative Impacts of Human-AI Interaction in Brands: A Data Mining Exploratory Approach". 2024.
    10.1007/978-981-97-1552-7_9
  4. Ferreira, RP; Brandão, A; Veloso, B. "Brand Management and Metaverse: A Data Mining Exploratory Approach". 2024.
    10.1007/978-981-97-1552-7_31
  5. Joao Gama; Slawomir Nowaczyk; Sepideh Pashami; Rita P. Ribeiro; Grzegorz J. Nalepa; Bruno Veloso. "XAI for Predictive Maintenance". 2023.
    10.1145/3580305.3599578
  6. Bobek, S; Nowaczyk, S; Gama, J; Pashami, S; Ribeiro, RP; Taghiyarrenani, Z; Veloso, B; et al. "Why Industry 5.0 Needs XAI 2.0?". 2023.
  7. Sant'Ana, B; Veloso, B; Gama, J. "PREDICTIVE MAINTENANCE FOR WIND TURBINES". 2022.
  8. Teixeira, S; Rodrigues, J; Veloso, B; Gama, J. "An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance". 2022.
    10.1145/3560107.3560298
  9. Alcoforado, A; Ferraz, TP; Gerber, R; Bustos, E; Oliveira, AS; Veloso, BM; Siqueira, FL; Reali Costa, AH. "ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling". 2022.
  10. Veloso, B; Caroprese, L; Konig, M; Teixeira, S; Manco, G; Hoos, HH; Gama, J. "Hyper-parameter Optimization for Latent Spaces". 2021.
    10.1007/978-3-030-86523-8_16
  11. Davari, N; Veloso, B; Ribeiro, RP; Pereira, PM; Gama, J. "Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry". 2021.
    10.1109/dsaa53316.2021.9564181
  12. Pereira, CS; Veloso, B; Durão, N; Moreira, F. "The influence of technological innovations on international business strategy before and during COVID-19 pandemic". 2021.
    10.1016/j.procs.2021.11.071
  13. Teixeira, S; Londres, G; Veloso, B; Ribeiro, RP; Gama, J. "Improving Smart Waste Collection Using AutoML". 2021.
    10.1007/978-3-030-93733-1_20
  14. Veloso, B; Martins, C; Espanha, R; Azevedo, R; Gama, J. "Fraud detection using heavy hitters: A case study". 2020.
    10.1145/3341105.3373842
  15. Bahri, M; Veloso, B; Bifet, A; Gama, J. "AutoML for Stream k-Nearest Neighbors Classification". 2020.
    10.1109/bigdata50022.2020.9378396
  16. Veloso, B; Malheiro, B; Foss, JD. "Stream recommendation using individual hyper-parameters". 2019.
  17. Veloso, B; Leal, F; Malheiro, B; Moreira, F. "Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms". 2019.
    10.1016/j.procs.2019.11.065
  18. Veloso, B; Martins, C; Espanha, R; Azevedo, R; Gama, J. "Detecting bursts of activity from streams". 2019.
  19. Veloso, B; Malheiro, B; Burguillo, JC; Foss, JD; Gama, J. "Personalised Dynamic Viewer Profiling for Streamed Data". 2018.
    10.1007/978-3-319-77712-2_47
  20. Veloso, B; Gama, J; Malheiro, B. "Self Hyper-Parameter Tuning for Data Streams". 2018.
    10.1007/978-3-030-01771-2_16
  21. Cunha, R; Veloso, B; Malheiro, B. "Renegotiation of Electronic Brokerage Contracts". 2017.
    10.1007/978-3-319-56538-5_5
  22. Veloso, Bruno; Malheiro, Benedita; Burguillo, JuanCarlos; Foss, JeremyD.. "Personalised fading for stream data". 2017.
    10.1145/3019612.3019868
  23. Veloso, B; Malheiro, B; Carlos Burguillo, JC. "CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources". 2016.
    10.1007/978-3-319-39324-7_18
  24. Veloso, B; Malheiro, B; Burguillo, JC. "Collaborative Filtering with Semantic Neighbour Discovery". 2016.
    10.1007/978-3-319-47955-2_23
Artigo em revista
  1. Pereira, AT; Lago, JDS; Santos, YBI; Veloso, BMD; Beltrão, NES. "Prioritisation of Studies In Sustainable Urban Mobility Via Fuzzy-Topsis: A Methodological Approach For Systematic Reviews". Revista de Gestão Social e Ambiental (2025): https://www.authenticus.pt/P-018-NRK.
    10.24857/rgsa.v19n3-032
  2. Luciano Caroprese; Francesco Pisani; Bruno Miguel Veloso; Matthias Konig; Giuseppe Manco; Holger Hoos; Joao Gama. "Modelling Concept Drift in Dynamic Data Streams for Recommender Systems". ACM Transactions on Recommender Systems (2024): https://doi.org/10.1145/3707693.
    10.1145/3707693
  3. Ferreira, Rui Pedro; Amélia Maria Pinto da Cunha Brandão; Veloso, Bruno. "The Metaverse and Brand Management: Consumer Perceptions and Brand Equity". European Journal of Management and Business Economics (2024):
    Em revisão
  4. Mastelini, SM; Veloso, B; Halford, M; de Carvalho, ACPDF; Gama, J. "SWINN: Efficient nearest neighbor search in sliding windows using graphs". INFORMATION FUSION (2024):
    10.1016/j.inffus.2023.101979
  5. Gama, J; Ribeiro, RP; Mastelini, S; Davari, N; Veloso, B. "From fault detection to anomaly explanation: A case study on predictive maintenance". JOURNAL OF WEB SEMANTICS (2024): https://www.authenticus.pt/P-010-E7K.
    10.1016/j.websem.2024.100821
  6. Moya, AR; Veloso, B; Gama, J; Ventura, S. "Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach". DATA MINING AND KNOWLEDGE DISCOVERY (2024): https://www.authenticus.pt/P-00Z-M56.
    10.1007/s10618-023-00997-7
  7. Alexandre Alcoforado; Thomas Palmeira Ferraz; Enzo Bustos; André Seidel Oliveira; Rodrigo Gerber; Gian Lucca du Mont Santoro; Israel Campos Fama; et al. "Democracia aumentada: Inteligência Artificial como ferramenta de combate à desinformação". Estudos Avançados (2024): https://doi.org/10.1590/s0103-4014.202438111.021.
    10.1590/s0103-4014.202438111.021
  8. Pashami, S; Nowaczyk, S; Fan, Y; Jakubowski, J; Paiva, N; Davari, N; Bobek, S; et al. "Explainable Predictive Maintenance". CoRR (2023):
  9. Liguori, A; Caroprese, L; Minici, M; Veloso, B; Spinnato, F; Nanni, M; Manco, G; Gama, J. "Modeling Events and Interactions through Temporal Processes - A Survey". CoRR (2023):
  10. Leal, F; Veloso, B; Malheiro, B; Burguillo, JC. "Towards adaptive and transparent tourism recommendations: A survey". EXPERT SYSTEMS (2023):
    10.1111/exsy.13400
  11. Meira, J; Veloso, B; Bolon Canedo, V; Marreiros, G; Alonso Betanzos, A; Gama, J. "Data-driven predictive maintenance framework for railway systems". INTELLIGENT DATA ANALYSIS (2023):
    10.3233/ida-226811
  12. Pashami, Sepideh; Nowaczyk, Slawomir; Fan, Yuantao; Jakubowski, Jakub; Paiva, Nuno; Davari, Narjes; Bobek, Szymon; et al. "Explainable Predictive Maintenance". ArXiv (2023): https://publons.com/wos-op/publon/61924174/.
  13. Liguori, Angelica; Caroprese, Luciano; Minici, Marco; Veloso, Bruno; Spinnato, Francesco; Nanni, Mirco; Manco, Giuseppe; Gama, Joao. "Modeling Events and Interactions through Temporal Processes -- A Survey". ArXiv (2023): https://publons.com/wos-op/publon/59535759/.
  14. Bruno Veloso; Rita P. Ribeiro; João Gama; Pedro Mota Pereira. "The MetroPT dataset for predictive maintenance". Scientific Data (2022): https://doi.org/10.1038/s41597-022-01877-3.
    10.1038/s41597-022-01877-3
  15. Fátima Leal; Bruno Veloso; Carla Santos Pereira; Fernando Moreira; Natércia Durão; Natacha Jesus Silva. "Interpretable Success Prediction in Higher Education Institutions Using Pedagogical Surveys". Sustainability (2022): https://doi.org/10.3390/su142013446.
    10.3390/su142013446
  16. Carla Santos Pereira; Natercia Durão; Fernando Moreira; Bruno Veloso. "The Importance of Digital Transformation in International Business". Sustainability 14 2 (2022): 834-834. https://doi.org/10.3390/su14020834.
    10.3390/su14020834
  17. Leal, F; Veloso, B; Malheiro, B; Burguillo, JC; Chis, AE; Gonzalez Velez, H. "Stream-based explainable recommendations via blockchain profiling". INTEGRATED COMPUTER-AIDED ENGINEERING (2022):
    10.3233/ica-210668
  18. Gama, J; Ribeiro, RP; Veloso, B. "Data-driven Predictive Maintenance". IEEE Intelligent Systems (2022):
    10.1109/mis.2022.3167561
  19. García Méndez, S; Leal, F; Malheiro, B; Burguillo Rial, JC; Veloso, B; Chis, AE; González–Vélez, H. "Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly". Simulation Modelling Practice and Theory (2022):
    10.1016/j.simpat.2022.102616
  20. Veloso, B; Gama, J; Ribeiro, RP; Pereira, PM. "A Benchmark dataset for predictive maintenance". CoRR (2022):
  21. Teixeira, S; Rodrigues, J; Veloso, B; Gama, J. "Humans Versus Machines: The Perspective of Two Different Approaches in Classification for Ethical Design". ERCIM NEWS (2022):
  22. Narjes Davari; Bruno Veloso; Gustavo Costa; Pedro Mota Pereira; Rita P. Ribeiro; Joao Gama. "A Survey on Data-Driven Predictive Maintenance for the Railway Industry". Sensors (2021): https://www.mdpi.com/1424-8220/21/17/5739.
    10.3390/s21175739
  23. Veloso, B; Gama, J; Malheiro, B; Vinagre, J. "Hyperparameter self-tuning for data streams". Information Fusion (2021):
    10.1016/j.inffus.2021.04.011
  24. Morais, P; Ferreira, MJ; Veloso, B. "Improving Student Engagement With Project-Based Learning: A Case Study in Software Engineering". IEEE REVISTA IBEROAMERICANA DE TECNOLOGIAS DEL APRENDIZAJE-IEEE RITA (2021):
    10.1109/rita.2021.3052677
  25. Ferraz, TP; Alcoforado, A; Bustos, E; Oliveira, AS; Gerber, R; Müller, N; d'Almeida, AC; Veloso, BM; Reali Costa, AH. "DEBACER: a method for slicing moderated debates". CoRR (2021):
    10.5753/eniac.2021.18293
  26. Bruno Veloso; Shazia Tabassum; Carlos Martins; Raphael Espanha; Raul Azevedo; João Gama. "Interconnect bypass fraud detection: a case study". Annals of Telecommunications 75 9-10 (2020): 583-596. https://doi.org/10.1007/s12243-020-00808-w.
    10.1007/s12243-020-00808-w
  27. Tabassum, S; Veloso, B; Gama, J. "On fast and scalable recurring link's prediction in evolving multi-graph streams". Network Science (2020):
    10.1017/nws.2019.64
  28. Leal, F; Veloso, B; Malheiro, B; González Vélez, H; Carlos Burguillo, J. "A 2020 perspective on “Scalable modelling and recommendation using wiki-based crowdsourced repositories:” Fairness, scalability, and real-time recommendation". Electronic Commerce Research and Applications (2020):
    10.1016/j.elerap.2020.100951
  29. Veloso, BM; Leal, F; Malheiro, B; Burguillo, JC. "A 2020 perspective on “Online guest profiling and hotel recommendation”: Reliability, Scalability, Traceability and Transparency". Electronic Commerce Research and Applications (2020):
    10.1016/j.elerap.2020.100957
  30. Leal, F; Malheiro, B; Veloso, B; Burguillo, JC. "Responsible processing of crowdsourced tourism data". Journal of Sustainable Tourism (2020):
    10.1080/09669582.2020.1778011
  31. Veloso, B; Gama, J; Martins, C; Espanha, R; Azevedo, R. "A case study on using heavy-hitters in interconnect bypass fraud". ACM SIGAPP Applied Computing Review (2020):
    10.1145/3429204.3429208
  32. Veloso, BM; Leal, F; Malheiro, B; Burguillo, JC. "On-line guest profiling and hotel recommendation". Electronic Commerce Research and Applications (2019):
    10.1016/j.elerap.2019.100832
  33. Leal, F; Veloso, BM; Malheiro, B; Gonzalez Velez, H; Carlos Burguillo, JC. "Scalable modelling and recommendation using wiki-based crowdsourced repositories". ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS (2019):
    10.1016/j.elerap.2018.11.004
  34. Veloso, B; Leal, F; Gonzalez Velez, H; Malheiro, B; Carlos Burguillo, JC. "Scalable data analytics using crowdsourced repositories and streams". JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2018):
    10.1016/j.jpdc.2018.06.013
  35. Veloso, Bruno; Malheiro, Benedita; Burguillo, Juan Carlos. "A Multi-agent Brokerage Platform for Media Content Recommendation". International Journal of Applied Mathematics and Computer Science 25 3 (2015): 513-527. http://dx.doi.org/10.1515/amcs-2015-0038.
    10.1515/amcs-2015-0038
Capítulo de livro
  1. Amelia Zafra; Bruno Veloso; João Gama. "Early Failure Detection for Air Production Unit in Metro Trains". 2025.
    10.1007/978-3-031-74183-8_28
  2. Matías Molina; Bruno Veloso; Carlos Abreu Ferreira; Rita P. Ribeiro; João Gama. "More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation". 2024.
    10.3233/FAIA241047
  3. Matías Molina; Rita P. Ribeiro; Bruno Veloso; João Gama. "Super-Resolution Analysis for Landfill Waste Classification". 2024.
    10.1007/978-3-031-58547-0_13
  4. Emanuel Sousa Tomé; Rita P. Ribeiro; Bruno Veloso; João Gama. "An Online Data-Driven Predictive Maintenance Approach for Railway Switches". 2023.
    10.1007/978-3-031-23633-4_27
  5. Rita P. Ribeiro; Saulo Martiello Mastelini; Narjes Davari; Ehsan Aminian; Bruno Veloso; João Gama. "Online Anomaly Explanation: A Case Study on Predictive Maintenance". 2023.
    10.1007/978-3-031-23633-4_25
  6. Narjes Davari; Bruno Veloso; Rita P. Ribeiro; João Gama. "Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set". 2023.
    10.1007/978-3-031-23633-4_26
  7. Teixeira, S; Veloso, B; Rodrigues, JC; Gama, J. "Ethical and Technological AI Risks Classification: A Human Vs Machine Approach". 2023.
    10.1007/978-3-031-23618-1_10
  8. Michal Kuk; Szymon Bobek; Bruno Veloso; Lala Rajaoarisoa; Grzegorz J. Nalepa. "Feature Importances as a Tool for Root Cause Analysis in Time-Series Events". 2023.
    10.1007/978-3-031-36030-5_33
  9. Miguel E. P. Silva; Bruno Veloso; João Gama. "Predictive Maintenance, Adversarial Autoencoders and Explainability". 2023.
    10.1007/978-3-031-43430-3_16
  10. Alexandre Alcoforado; Thomas Palmeira Ferraz; Rodrigo Gerber; Enzo Bustos; André Seidel Oliveira; Bruno Miguel Veloso; Fabio Levy Siqueira; Anna Helena Reali Costa. "ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling". 125-136. Springer International Publishing, 2022.
    10.1007/978-3-030-98305-5_12
  11. Davari, N; Pashami, S; Veloso, B; Nowaczyk, S; Fan, Y; Pereira, PM; Ribeiro, RP; Gama, J. "A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set". 2022.
    10.1007/978-3-031-01333-1_4
  12. Veloso, B; Leal, F; Malheiro, B. "Personalised Combination of Multi-Source Data for User Profiling". 2022.
    10.1007/978-981-16-7618-5_60
  13. Eduardo Vasco; Bruno Veloso; Benedita Malheiro. "Smart Contracts for the CloudAnchor Platform". 2022.
    10.1007/978-3-031-18192-4_34
  14. Teixeira, S; Rodrigues, JC; Veloso, B; Gama, J. "Challenges of Data-Driven Decision Models: Implications for Developers and for Public Policy Decision-Makers". 2022.
    10.1007/978-981-19-0412-7_7
  15. Bruno Veloso; João Gama; Benedita Malheiro. "Classification and Recommendation With Data Streams". 675-684. {IGI, 2021.
    10.4018/978-1-7998-3479-3.ch047
  16. Leal, F; Veloso, B; Malheiro, B; Burguillo, JC. "Crowdsourced Data Stream Mining for Tourism Recommendation". 2021.
    10.1007/978-3-030-72657-7_25
  17. João Gama; Bruno Veloso; Ehsan Aminian; Rita P. Ribeiro. "Current Trends in Learning from Data Streams". 183-193. Springer International Publishing, 2021.
    10.1007/978-3-030-93620-4_14
  18. Fátima Leal; Bruno Veloso; Benedita Malheiro; Horacio González-Vélez. "Trust and Reputation Smart Contracts for Explainable Recommendations". 2020.
    10.1007/978-3-030-45688-7_13
  19. Bruno Veloso; Benedita Malheiro; Juan Carlos Burguillo; João Gama. "Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform". 303-314. Springer International Publishing, 2020.
    10.1007/978-3-030-49778-1_24
  20. Mariana Barros; Bruno Veloso; Pedro M. Pereira; Rita P. Ribeiro; João Gama. "Failure Detection of an Air Production Unit in Operational Context". 2020.
    10.1007/978-3-030-66770-2_5
  21. Bruno Veloso; João Gama. "Self Hyper-parameter Tuning for Stream Classification Algorithms". 2020.
    10.1007/978-3-030-66770-2_1
  22. Veloso, B; Gama, J; Malheiro, B; Vinagre, J. "Self Hyper-parameter Tuning for Stream Recommendation Algorithms". 2019.
    10.1007/978-3-030-14880-5_8
  23. Alves, B; Veloso, B; Malheiro, B. "APASail—An Agent-Based Platform for Autonomous Sailing Research and Competition". 2018.
    10.1007/978-3-319-72739-4_3
  24. Veloso, B; Meireles, F; Malheiro, B; Burguillo, JC. "Federated IaaS Resource Brokerage". 2016.
    10.4018/978-1-5225-0153-4.ch009
Livro
  1. Veloso, B.; Malheiro, B.; Burguillo, J.C.. Media brokerage: Agent-based SLA negotiation. 2015.
    10.1007/978-3-319-16486-1_56
  2. Veloso, B.; Sousa, L.; Malheiro, B.. Personalised advertising supported by agents. 2013.
    10.1007/978-3-319-00551-5_57
Pré-impressão
  1. Jakobs, M; Veloso, B; Gama, J. "Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset". 2025. https://www.authenticus.pt/P-018-HBN.
  2. Gama, J; Ribeiro, RP; Mastelini, SM; Davari, N; Veloso, B. "A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance". 2024. https://www.authenticus.pt/P-010-FZ2.
  3. Méndez, SG; Leal, F; Malheiro, B; Burguillo Rial, JC; Veloso, B; Chis, AE; Vélez, HG. "Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly". 2024. https://www.authenticus.pt/P-010-NEM.
  4. Santos, R; Brandao, A; Veloso, B; Popoli, P. "The use of AI in government and its risks: lessons from the private sector". 2024. https://www.authenticus.pt/P-016-TX7.
    10.1108/tg-02-2024-0038

Outros

Outra produção
  1. MetroPT-3 Dataset. 2023. Davari, N; Veloso, B; Ribeiro, RP; Gama, J.
  2. MetroPT: A Benchmark dataset for predictive maintenance. 2022. Veloso, B; Gama, J; Ribeiro, RP; Pereira, P.
  3. MetroPT2: A Benchmark dataset for predictive maintenance. 2022. Veloso, B; Gama, J; Ribeiro, RP; Pereira, P.
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2021/01/31 - Atual Leveraging Data Stream Mining for Non Revenue Water Reduction
Coorientador
Universidade do Porto Faculdade de Economia, Portugal
2021/01/31 - 2021/11/17 Identification of clients affected by a canceled journey on metro network in Porto
Orientador
Universidade do Porto Faculdade de Economia, Portugal
2021/01/31 - 2021/10/22 Hierarchical Time Series Predictions in a Portuguese Telecommunications’ Company
Coorientador
Universidade do Porto Faculdade de Economia, Portugal
2021/01/31 - 2021/09/30 Fault Detection in Wind Turbines
Coorientador
Universidade do Porto Faculdade de Economia, Portugal
2021/01/31 - 2021/09/30 Predicting Audiences Based on Physiological Data and Twitter Activity: A Machine Learning Approach
Coorientador
Universidade do Porto Faculdade de Economia, Portugal
2021/01/31 - 2021/09/29 Multi-Level Classification and Sales Forecasting of New Collection Products in Fashion Retail
Coorientador
Universidade do Porto Faculdade de Economia, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação) 		Instituição / Organização
2021/10/06 - 2021/10/09 IEEE DSAA 2021 (2021/10/02 - 2021/10/09)
Conferência (Membro da Comissão Organizadora)
 Universidade do Porto, Portugal
2021/07/02 - 2021/07/09 VISion Understanding and Machine intelligence (VISUM 2021), Porto, Portugal. (2021/07/02 - 2021/07/09)
Outro (Membro da Comissão Organizadora)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2020/10/16 - 2020/10/17 20th Conference of the Association of Portuguese of Information Systems (CAPSI 2020) (2020/10/16 - 2020/10/17)
Conferência (Membro da Comissão Organizadora)
 Universidade Portucalense Infante D Henrique Departamento de Ciências Económicas e Empresariais, Portugal
2020/07/02 - 2020/07/10 VISion Understanding and Machine intelligence (VISUM 2020), Porto, Portugal. (2020/07/02 - 2020/07/10)
Outro (Membro da Comissão Organizadora)
2019/06/04 - 2019/06/12 VISion Understanding and Machine intelligence (VISUM 2019), Porto, Portugal. (2019/06/04 - 2019/06/12)
Outro (Membro da Comissão Organizadora)

Participação em evento

Descrição da atividade
Tipo de evento 		Nome do evento
Instituição / Organização
2018/07/02 - 2018/07/05 Advanced School on Data Science for Big Data (EAIA 2018), Porto, Portugal.
Outro
 Advanced School on Data Science for Big Data (EAIA 2018)
2016/09/21 - 2016/09/23 Summer School on New Trends in Modelling and Simulation in HPC Systems, cHiPSet High-Performance Modelling and Simulation for Big Data Applications, Bucharest, Romania.
Outro
 Summer School on New Trends in Modelling and Simulation in HPC Systems, cHiPSet High-Performance Modelling and Simulation for Big Data Applications
2015/12/14 - 2015/12/16 Porto Winter School on Graph Analytics and Applications (Graph15), Porto, Portugal.
Outro
 Porto Winter School on Graph Analytics and Applications (Graph15),
2015/07/31 - 2015/08/04 The 11th Reasoning Web Summer School (RW 2015), Berlin, Germany.
Outro
 The 11th Reasoning Web Summer School (RW 2015)
2015/07/06 - 2015/07/10 The 17th European Agent Systems Summer School (EASSS 2015)
Outro
 The 17th European Agent Systems Summer School (EASSS 2015)

Júri de grau académico

Tema
Tipo de participação 		Nome do candidato (Tipo de grau)
Instituição / Organização
2023/03/01 Self-Supervised Learning Techniques for Monitoring Industrial Spaces
Arguente principal
 Viviana Figueira Magalhães (Mestrado)
Universidade do Minho, Portugal
2022/11/08 Low-latency Machine learning for network traffic analysis
Arguente principal
 André Levi Ribeiro Tse (Mestrado)
Universidade do Porto Faculdade de Ciências, Portugal
2022/11/07 Avaliação de Jogadores e Equipas de Basquetebol usando Machine Learning
Arguente principal
 Luís Rodolfo Nogueira e Silva (Mestrado)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal
2021/12/20 Técnicas de machine learning aplicadas à marcha para monitorização personalizada da toma da medicação levodopa em doentes com Parkinson
Arguente principal
 Paulo Jorge Martins da Silva (Mestrado)
Universidade do Minho - Campus de Azurém, Portugal
2021/10/13 Suggesting Human Resources for Project Tasks
Arguente principal
 Ana Sá e Sousa Carneiro da Silva (Mestrado)
Universidade do Porto Faculdade de Engenharia, Portugal
2020/10/30 A traditional machine learning and deep learning approaches comparison for predictive maintenance.
Arguente principal
 Roberto Oliveira Vita (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
2019/11/28 Information diffusion in social networks
Arguente principal
 Patrícia Coelho Carvalho (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
2019/11/12 The Impact of Big Data on Financial Auditing Profession
Arguente principal
 Tânia Jesus Julião (Mestrado)
Universidade do Porto Faculdade de Economia, Portugal
2019/06/28 Recommendation systems using Graph-based Representation
Arguente principal
 Calin-Florin Obrocea (Outro)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Arbitragem científica em conferência

Nome da conferência Local da conferência
2021 - 2022 WorldCist'22 - 10th World Conference on Information Systems and Technologies Budva, Montenegro
2021 - 2022 The Symposium on Intelligent Data Analysis 2022 Rennes, France
2021 - 2022 IJCAI-ECAI 2022, the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence Vienna, Austria
2021 - 2022 ACM SIGKDD 2022 Washington DC, US
2021/09/13 - 2021/09/17 The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ECML PKDD 2021
2020 - 2021 30th International Joint Conference on Artificial Intelligence
2020 - 2021 Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21)
2020 - 2021 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)
2020 - 2021 19th Symposium on Intelligent Data Analysis IDA 2021
2020/11/09 - 2020/11/11 11th International Conference on the Applications of Digital Information & Web Technologies
2020/11/09 - 2020/11/11 32th International Conference on Tools with Artificial Intelligence (ICTAI 2020)
2020/10/16 - 2020/10/17 20th Conference of the Association of Portuguese of Information Systems (CAPSI 2020)
2020/09/22 - 2020/09/26 ORSUM, the Workshop on Online Recommender Systems and User Modeling, to be held at T14th ACM Conference on Recommender Systems (RecSys 2020)
2020/09/14 - 2020/09/14 IOTStreams 2020 : ECML/PKDD 2020 Workshop on IoT Streams for Data-Driven Predictive Maintenance Ghent, Belgium
2020/08/22 - 2020/08/27 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020)
2020/08/24 - 2020/08/26 The 2nd International Conference on Deep Learning, Big Data and Blockchain
2020/07/11 - 2020/07/17 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence
2020/06/16 - 2020/06/18 Second International Conference on Learning and Optimization Algorithms: Theory and Applications (LOPAL 2020)
2020/06/08 - 2020/06/12 Machine Learning for Data Streams (ECAI 2020 Workshop)
2020/04/25 - 2020/04/26 6th International Conference on Information Technology Convergence and Services (ITCSS 2020)
2020/04/25 - 2020/04/26 International Conference on Big Data and Blockchain (BDAB 2020)
2020/04/07 - 2020/04/10 8th World Conference on Information Systems and Technologies
2020/03/30 - 2020/04/03 ACM Symposium on Applied Computing Data Streams Track
2019/12/16 - 2019/12/19 18th IEEE International Conference on Machine Learning and Applications
2019/09/16 - 2019/09/20 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019)
2019/08/26 - 2019/08/28 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) Istanbul, Turkey
2019/08/10 - 2019/08/16 28th International Joint Conference on Artificial Intelligence (IJCAI 2019) Macau, China
2019/08/04 - 2019/08/08 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) Anchorage, Alaska
2019/08/04 - 2019/08/08 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (KDD BigMine 2019)
2018/12/17 - 2018/12/20 IEEE International Conference on Machine Learning and Applications 2018 (IEEE ICMLA 2018) Orlando-Florida, US
2018/04/23 - 2018/04/23 ORSUM, the Workshop on Online Recommender Systems and User Modeling, to be held at The Web Conference 2018 (WWW 2018) Lyon, France

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2021/02/17 - Atual Expert Systems With Applications Elsevier
2021 - Atual Electronic Commerce Research and Applications Elsevier
2021 - Atual Information Fusion Elsevier
2021 - Atual IEEE Transactions on Intelligent Transportation Systems IEEE
2021 - 2021 Information Fusion
2020 - 2020 Knowledge and Information Systems (KAIS)
2020 - 2020 Annals of Telecommunications (ANTE)
2019 - 2019 Springer Machine Learning journal
2019 - 2019 Elsevier - Electronic Commerce Research and Applications Journal
2019 - 2019 IOS - Intelligent Data Analysis Journal
2018 - 2018 IEEE Transactions on Knowledge and Data Engineering Journal (TKDE)
2018 - 2018 IEEE Intelligent Transportation Systems Transactions and Magazine
2017 - 2017 The Computer Science Journal (CSCI)

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2021/11/04 - 2021/11/05 One Day Meeting on Statistics and Applied Probability CMAT-SAPOR of the Centre of Mathematics at University of Minho, Guimarães, Portugal Universidade do Minho, Portugal

Membro de associação

Nome da associação Tipo de participação
2015/05/25 - Atual Asociación Española para la Inteligencia Artificial(AEPIA), Spain. Member
Distinções

Prémio

2021 Best Paper Award - "Improving smart waste collection using AutoML" - 6th Workshop on Data Science for Social Good (SoGood 2021), ECML PKDD 2021

Outra distinção

2022 Honorable Mention - "ZeroBERTo - Leveraging Zero-Shot Text Classification by Topic Modeling" - 15th edition of the International Conference on the Computational Processing of Portuguese, PROPOR 2022
2020 Incredibles
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência Center for Research in Advanced Computing Systems, Portugal