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Bruno M. Veloso
Bruno Veloso – Bruno Miguel Veloso
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2020 – today
- 2024
- [j18]Antonio R. Moya
, Bruno Veloso
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. Data Min. Knowl. Discov. 38(3): 1289-1315 (2024) - [j17]Saulo Martiello Mastelini
SWINN: Efficient nearest neighbor search in sliding windows using graphs. Inf. Fusion 101: 101979 (2024) - [c44]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]Amelia Zafra
Early Failure Detection for Air Production Unit in Metro Trains. HAIS (1) 2024: 339-351 - [c42]Matías Molina
Super-Resolution Analysis for Landfill Waste Classification. IDA (1) 2024: 155-166 - [c41]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: 492-502 - [c40]Narjes Davari
Detecting and Explaining Anomalies in the Air Production Unit of a Train. SAC 2024: 358-364 - [i10]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) - [i9]Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama:
Super-Resolution Analysis for Landfill Waste Classification. CoRR abs/2404.01790 (2024) - [i8]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]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
- [j16]Jorge Meira, Bruno Veloso
Data-driven predictive maintenance framework for railway systems. Intell. Data Anal. 27(4): 1087-1102 (2023) - [j15]Dalila Durães
Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation. Int. J. Interact. Multim. Artif. Intell. 8(3): 72 (2023) - [c39]Michal Kuk
Feature Importances as a Tool for Root Cause Analysis in Time-Series Events. ICCS (5) 2023: 408-416 - [c38]João Gama, Slawomir Nowaczyk
XAI for Predictive Maintenance. KDD 2023: 5798-5799 - [c37]Miguel E. P. Silva
Predictive Maintenance, Adversarial Autoencoders and Explainability. ECML/PKDD (7) 2023: 260-275 - [c36]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 - [d3]Narjes Davari, Bruno Veloso, Rita P. Ribeiro, João Gama:
MetroPT-3 Dataset. UCI Machine Learning Repository, 2023 - [i6]Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR abs/2303.06067 (2023) - [i5]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
- [j14]João Gama, Rita P. Ribeiro
Data-Driven Predictive Maintenance. IEEE Intell. Syst. 37(4): 27-29 (2022) - [j13]Fátima Leal, Bruno Veloso
Stream-based explainable recommendations via blockchain profiling. Integr. Comput. Aided Eng. 29(1): 105-121 (2022) - [j12]Silvia García-Méndez
Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly. Simul. Model. Pract. Theory 120: 102616 (2022) - [c35]Sónia Teixeira, José Rodrigues
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance. ICEGOV 2022: 25-31 - [c34]Narjes Davari, Sepideh Pashami, Bruno Veloso
A Fault Detection Framework Based on LSTM Autoencoder: A Case Study for Volvo Bus Data Set. IDA 2022: 39-52 - [c33]Hugo Faria
EduBot: A Proof-of-Concept for a High School Motivational Agent. IDEAL 2022: 223-232 - [c32]Bruno Veloso
A Systematic Review on Student Failure Prediction. MIS4TEL (Workshops) 2022: 43-52 - [c31]Bruno Veloso
Analysis of Machine Learning Algorithms for Violence Detection in Audio. PAAMS (Workshops) 2022: 210-221 - [c30]Eduardo Vasco, Bruno Veloso
Smart Contracts for the CloudAnchor Platform. PAAMS 2022: 423-434 - [c29]Sónia Teixeira, Bruno Veloso
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach. PKDD/ECML Workshops (1) 2022: 150-166 - [c28]Rita P. Ribeiro
Online Anomaly Explanation: A Case Study on Predictive Maintenance. PKDD/ECML Workshops (2) 2022: 383-399 - [c27]Narjes Davari
Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set. PKDD/ECML Workshops (2) 2022: 400-409 - [c26]Emanuel Sousa Tomé
An Online Data-Driven Predictive Maintenance Approach for Railway Switches. PKDD/ECML Workshops (2) 2022: 410-422 - [c25]Alexandre Alcoforado
ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling. PROPOR 2022: 125-136 - [d2]Bruno Veloso
MetroPT: A Benchmark dataset for predictive maintenance. Version 1. Zenodo, 2022 [all versions] - [d1]Bruno Veloso
MetroPT2: A Benchmark dataset for predictive maintenance. Version V2. Zenodo, 2022 [all versions] - [i4]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]Bruno Veloso, João Gama, Rita P. Ribeiro, Pedro Mota Pereira:
A Benchmark dataset for predictive maintenance. CoRR abs/2207.05466 (2022) - [i2]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
- [j11]Paula Morais
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]Bruno Veloso
Hyperparameter self-tuning for data streams. Inf. Fusion 76: 75-86 (2021) - [j9]Narjes Davari
A Survey on Data-Driven Predictive Maintenance for the Railway Industry. Sensors 21(17): 5739 (2021) - [c24]João Gama
Current Trends in Learning from Data Streams. BDA 2021: 183-193 - [c23]Carla Santos Pereira
The influence of technological innovations on international business strategy before and during COVID-19 pandemic. CENTERIS/ProjMAN/HCist 2021: 44-51 - [c22]Narjes Davari, Bruno Veloso
Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry. DSAA 2021: 1-10 - [c21]Bruno Veloso
Hyper-parameter Optimization for Latent Spaces. ECML/PKDD (3) 2021: 249-264 - [c20]Sónia Teixeira, Guilherme Londres, Bruno Veloso
Improving Smart Waste Collection Using AutoML. PKDD/ECML Workshops (2) 2021: 283-298 - [c19]Fátima Leal, Bruno Veloso
Crowdsourced Data Stream Mining for Tourism Recommendation. WorldCIST (1) 2021: 260-269 - [i1]Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos, André Seidel Oliveira, Rodrigo Gerber, Naíde Müller, André Corrêa d'Almeida, Bruno Miguel Veloso
DEBACER: a method for slicing moderated debates. CoRR abs/2112.05438 (2021) - 2020
- [j8]Bruno Veloso
Interconnect bypass fraud detection: a case study. Ann. des Télécommunications 75(9-10): 583-596 (2020) - [j7]Fátima Leal
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]Bruno M. Veloso
A 2020 perspective on "Online guest profiling and hotel recommendation": Reliability, Scalability, Traceability and Transparency. Electron. Commer. Res. Appl. 40: 100957 (2020) - [j5]Shazia Tabassum
On fast and scalable recurring link's prediction in evolving multi-graph streams. Netw. Sci. 8(S1): S65-S81 (2020) - [c18]Maroua Bahri, Bruno Veloso
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData 2020: 597-602 - [c17]Bruno Veloso
Impact of Trust and Reputation Based Brokerage on the CloudAnchor Platform. PAAMS 2020: 303-314 - [c16]Bruno Veloso
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML 2020: 3-13 - [c15]Mariana Barros, Bruno Veloso
Failure Detection of an Air Production Unit in Operational Context. IoT Streams/ITEM@PKDD/ECML 2020: 61-74 - [c14]Bruno Veloso
Fraud detection using heavy hitters: a case study. SAC 2020: 482-489 - [c13]Fátima Leal
Trust and Reputation Smart Contracts for Explainable Recommendations. WorldCIST (1) 2020: 124-133
2010 – 2019
- 2019
- [j4]Fátima Leal
Scalable modelling and recommendation using wiki-based crowdsourced repositories. Electron. Commer. Res. Appl. 33 (2019) - [j3]Bruno M. Veloso
On-line guest profiling and hotel recommendation. Electron. Commer. Res. Appl. 34 (2019) - [c12]Bruno Veloso
Distributed Trust & Reputation Models using Blockchain Technologies for Tourism Crowdsourcing Platforms. EUSPN/ICTH 2019: 457-460 - [c11]Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama:
Detecting Bursts of Activity in Telecommunications. BigMine@KDD 2019 - [c10]Bruno M. Veloso, Benedita Malheiro, Jerry Foss:
Stream Recommendation using Individual Hyper-Parameters. DataTV@TVX 2019 - 2018
- [j2]Bruno Veloso
Scalable data analytics using crowdsourced repositories and streams. J. Parallel Distributed Comput. 122: 1-10 (2018) - [c9]Bruno Veloso
Self Hyper-Parameter Tuning for Data Streams. DS 2018: 241-255 - [c8]Bruno Veloso
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML 2018: 91-102 - [c7]Bruno Veloso
Personalised Dynamic Viewer Profiling for Streamed Data. WorldCIST (2) 2018: 501-510 - 2017
- [c6]Bruno Veloso
Personalised fading for stream data. SAC 2017: 870-872 - [c5]Rúben Cunha, Bruno Veloso
Renegotiation of Electronic Brokerage Contracts. WorldCIST (2) 2017: 41-50 - 2016
- [c4]Bruno Veloso
Collaborative Filtering with Semantic Neighbour Discovery. IBERAMIA 2016: 273-284 - [c3]Bruno Veloso
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources. PAAMS 2016: 207-218 - 2015
- [j1]Bruno Veloso
A Multi-Agent Brokerage Platform for Media Content Recommendation. Int. J. Appl. Math. Comput. Sci. 25(3): 513-527 (2015) - [c2]Bruno Veloso
Media Brokerage: Agent-Based SLA Negotiation. WorldCIST (1) 2015: 575-584 - 2013
- [c1]Bruno Veloso
Personalised Advertising Supported by Agents. DCAI 2013: 473-481
Coauthor Index
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last updated on 2024-10-28 20:13 CET by the dblp team
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