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Bruno M. Veloso

Bruno Veloso – Bruno Miguel Veloso

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2025
[j21]
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Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Towards adaptive and transparent tourism recommendations: A survey. Expert Syst. J. Knowl. Eng. 42(1) (2025)
[j20]
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Luciano Caroprese, Francesco Sergio Pisani, Bruno Miguel Veloso, Matthias König, Giuseppe Manco, Holger H. Hoos, João Gama:
Modelling Concept Drift in Dynamic Data Streams for Recommender Systems. Trans. Recomm. Syst. 3(2): 24:1-24:28 (2025)
2024
[j19]
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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): 1289-1315 (2024)
[j18]
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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: 101979 (2024)
[j17]
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João Gama, Rita P. Ribeiro, Saulo Martiello Mastelini, Narjes Davari, Bruno Veloso:
From fault detection to anomaly explanation: A case study on predictive maintenance. J. Web Semant. 81: 100821 (2024)
2023
[j16]
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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): 1087-1102 (2023)
[j15]
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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): 72 (2023)
2022
[j14]
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João Gama, Rita P. Ribeiro, Bruno Veloso:
Data-Driven Predictive Maintenance. IEEE Intell. Syst. 37(4): 27-29 (2022)
[j13]
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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): 105-121 (2022)
[j12]
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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: 102616 (2022)
2021
[j11]
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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): 21-28 (2021)
[j10]
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Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Hyperparameter self-tuning for data streams. Inf. Fusion 76: 75-86 (2021)
[j9]
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  - journals/sensors/DavariVCPR021
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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): 5739 (2021)
2020
[j8]
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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): 583-596 (2020)
[j7]
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  - journals/ecra/LealVMGB20
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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: 100951 (2020)
[j6]
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Bruno M. Veloso, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo:
A 2020 perspective on "Online guest profiling and hotel recommendation": Reliability, Scalability, Traceability and Transparency. Electron. Commer. Res. Appl. 40: 100957 (2020)
[j5]
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  - journals/netsci/TabassumVG20
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Shazia Tabassum, Bruno Veloso, João Gama:
On fast and scalable recurring link's prediction in evolving multi-graph streams. Netw. Sci. 8(S1): S65-S81 (2020)
2019
[j4]
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Fátima Leal, Bruno M. Veloso, Benedita Malheiro, Horacio González-Vélez, Juan-Carlos Burguillo:
Scalable modelling and recommendation using wiki-based crowdsourced repositories. Electron. Commer. Res. Appl. 33 (2019)
[j3]
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Bruno M. Veloso, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo:
On-line guest profiling and hotel recommendation. Electron. Commer. Res. Appl. 34 (2019)
2018
[j2]
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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: 1-10 (2018)
2015
[j1]
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  - journals/amcs/VelosoMB15
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Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo:
A Multi-Agent Brokerage Platform for Media Content Recommendation. Int. J. Appl. Math. Comput. Sci. 25(3): 513-527 (2015)

Conference and Workshop Papers

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2025
[c45]
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  - conf/sac/Paim0VER25
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Aldo Marcelo Paim, João Gama, Bruno Veloso, Fabrício Enembreck, Rita P. Ribeiro:
Efficient Instance Selection in Tree-Based Models for Data Streams Classification. SAC 2025: 448-455
2024
[c44]
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  - conf/ecai/MolinaVFR024
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Matías Molina, Bruno Veloso, Carlos Abreu Ferreira, Rita P. Ribeiro, João Gama:
More (Enough) Is Better: Towards Few-Shot Illegal Landfill Waste Segmentation. ECAI 2024: 4547-4554
[c43]
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  - conf/hais/ZafraVG24
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Amelia Zafra, Bruno Veloso, João Gama:
Early Failure Detection for Air Production Unit in Metro Trains. HAIS (1) 2024: 339-351
[c42]
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Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama:
Super-Resolution Analysis for Landfill Waste Classification. IDA (1) 2024: 155-166
[c41]
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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 (1) 2024: 492-502
[c40]
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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: 358-364
2023
[c39]
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  - conf/iccS/KukBVRN23
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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: 408-416
[c38]
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João Gama, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso:
XAI for Predictive Maintenance. KDD 2023: 5798-5799
[c37]
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  - conf/pkdd/SilvaVG23
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Miguel E. P. Silva, Bruno Veloso, João Gama:
Predictive Maintenance, Adversarial Autoencoders and Explainability. ECML/PKDD (7) 2023: 260-275
[c36]
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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: 1-6
2022
[c35]
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  - conf/icegov/TeixeiraRV022
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Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama:
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance. ICEGOV 2022: 25-31
[c34]
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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: 39-52
[c33]
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  - conf/ideal/FariaBVMLDN22
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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: 223-232
[c32]
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  - conf/mis4tel/VelosoBFMDN22
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Bruno Veloso, Maria Araújo Barbosa, Hugo Faria, Francisco Supino Marcondes, Dalila Durães, Paulo Novais:
A Systematic Review on Student Failure Prediction. MIS4TEL (Workshops) 2022: 43-52
[c31]
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Bruno Veloso, Dalila Durães, Paulo Novais:
Analysis of Machine Learning Algorithms for Violence Detection in Audio. PAAMS (Workshops) 2022: 210-221
[c30]
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  - conf/paams/VascoVM22
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Eduardo Vasco, Bruno Veloso, Benedita Malheiro:
Smart Contracts for the CloudAnchor Platform. PAAMS 2022: 423-434
[c29]
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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: 150-166
[c28]
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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: 383-399
[c27]
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  - conf/pkdd/DavariVR022
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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: 400-409
[c26]
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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: 410-422
[c25]
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Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso, Fábio Levy Siqueira, Anna Helena Reali Costa:
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling. PROPOR 2022: 125-136
2021
[c24]
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  - conf/bigda/GamaVAR21
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João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro:
Current Trends in Learning from Data Streams. BDA 2021: 183-193
[c23]
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  - conf/centeris/PereiraVDM21
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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: 44-51
[c22]
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  - conf/dsaa/DavariVRPG21
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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: 1-10
[c21]
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  - conf/pkdd/VelosoCKTMHG21
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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: 249-264
[c20]
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Sónia Teixeira, Guilherme Londres, Bruno Veloso, Rita P. Ribeiro, João Gama:
Improving Smart Waste Collection Using AutoML. PKDD/ECML Workshops (2) 2021: 283-298
[c19]
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  - conf/worldcist/LealVMB21
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Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Crowdsourced Data Stream Mining for Tourism Recommendation. WorldCIST (1) 2021: 260-269
2020
[c18]
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Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama:
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData 2020: 597-602
[c17]
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Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, João Gama:
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform. PAAMS 2020: 303-314
[c16]
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  - conf/pkdd/Veloso020
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Bruno Veloso, João Gama:
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML 2020: 3-13
[c15]
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  - conf/pkdd/BarrosVPR020
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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: 61-74
[c14]
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Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama:
Fraud detection using heavy hitters: a case study. SAC 2020: 482-489
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Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez:
Trust and Reputation Smart Contracts for Explainable Recommendations. WorldCIST (1) 2020: 124-133
2019
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Bruno Veloso, Fátima Leal, Benedita Malheiro, Fernando Moreira:
Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms. EUSPN/ICTH 2019: 457-460
[c11]
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Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama:
Detecting Bursts of Activity in Telecommunications. BigMine@KDD 2019
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Bruno M. Veloso, Benedita Malheiro, Jerry Foss:
Stream Recommendation using Individual Hyper-Parameters. DataTV@TVX 2019
2018
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Bruno Veloso, João Gama, Benedita Malheiro:
Self Hyper-Parameter Tuning for Data Streams. DS 2018: 241-255
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Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML 2018: 91-102
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Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss, João Gama:
Personalised Dynamic Viewer Profiling for Streamed Data. WorldCIST (2) 2018: 501-510
2017
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Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss:
Personalised fading for stream data. SAC 2017: 870-872
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Rúben Cunha, Bruno Veloso, Benedita Malheiro:
Renegotiation of Electronic Brokerage Contracts. WorldCIST (2) 2017: 41-50
2016
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Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Collaborative Filtering with Semantic Neighbour Discovery. IBERAMIA 2016: 273-284
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Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo:
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources. PAAMS 2016: 207-218
2015
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Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Media Brokerage: Agent-Based SLA Negotiation. WorldCIST (1) 2015: 575-584
2013
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Bruno Veloso, Luís Sousa, Benedita Malheiro:
Personalised Advertising Supported by Agents. DCAI 2013: 473-481

Data and Artifacts

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2024
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Bruno Veloso, Carlos Martins, Raphael Espanha, Paula Raissa Silva, Raul Azevedo, João Gama:
Anonymised Phone Call Dataset for Anomaly Detection. Zenodo, 2024
2023
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Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama:
MetroPT-3 Dataset. UCI Machine Learning Repository, 2023
2022
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Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira:
MetroPT: A Benchmark dataset for predictive maintenance. Version 1. Zenodo, 2022 [all versions]
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Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Pereira:
MetroPT2: A Benchmark dataset for predictive maintenance. Version V2. Zenodo, 2022 [all versions]

Informal and Other Publications

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2025
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Matthias Jakobs, Bruno Veloso, João Gama:
Interpretable Rules for Online Failure Prediction: A Case Study on the Metro do Porto dataset. CoRR abs/2502.07394 (2025)
2024
[i10]
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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 abs/2401.13229 (2024)
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Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama:
Super-Resolution Analysis for Landfill Waste Classification. CoRR abs/2404.01790 (2024)
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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 abs/2404.14455 (2024)
[i7]
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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 abs/2405.18845 (2024)
2023
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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 abs/2303.06067 (2023)
[i5]
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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 abs/2306.05120 (2023)
2022
[i4]
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Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber, Enzo Bustos, André Seidel Oliveira, Bruno Miguel Veloso, Fábio Levy Siqueira, Anna Helena Reali Costa:
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling. CoRR abs/2201.01337 (2022)
[i3]
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  - journals/corr/abs-2207-05466
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Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira:
A Benchmark dataset for predictive maintenance. CoRR abs/2207.05466 (2022)
[i2]
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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)
2021
[i1]
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  - journals/corr/abs-2112-05438
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Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, André Seidel Oliveira, Rodrigo Gerber, Naíde Müller, André Corrêa d'Almeida, Bruno Miguel Veloso, Anna Helena Reali Costa:
DEBACER: a method for slicing moderated debates. CoRR abs/2112.05438 (2021)

Coauthor Index

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