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2020 – today
- 2023
[i5]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)- 2022
- [j14]João Gama, Rita P. Ribeiro
, Bruno Veloso:
Data-Driven Predictive Maintenance. IEEE Intell. Syst. 37(4): 27-29 (2022) - [j13]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]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) - [c35]Sónia Teixeira, José Rodrigues, Bruno Veloso, João Gama:
An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance. ICEGOV 2022: 25-31 - [c34]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]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]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]Bruno Veloso, Dalila Durães, Paulo Novais:
Analysis of Machine Learning Algorithms for Violence Detection in Audio. PAAMS (Workshops) 2022: 210-221 - [c30]Eduardo Vasco, Bruno Veloso, Benedita Malheiro:
Smart Contracts for the CloudAnchor Platform. PAAMS 2022: 423-434 - [c29]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]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]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]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]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 - [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, 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]Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Hyperparameter self-tuning for data streams. Inf. Fusion 76: 75-86 (2021) - [j9]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) - [c24]João Gama, Bruno Veloso, Ehsan Aminian, Rita P. Ribeiro:
Current Trends in Learning from Data Streams. BDA 2021: 183-193 - [c23]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]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]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]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]Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
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, Anna Helena Reali Costa:
DEBACER: a method for slicing moderated debates. CoRR abs/2112.05438 (2021) - 2020
- [j8]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]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]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]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) - [c18]Maroua Bahri, Bruno Veloso, Albert Bifet, João Gama:
AutoML for Stream k-Nearest Neighbors Classification. IEEE BigData 2020: 597-602 - [c17]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]Bruno Veloso, João Gama:
Self Hyper-parameter Tuning for Stream Classification Algorithms. IoT Streams/ITEM@PKDD/ECML 2020: 3-13 - [c15]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]Bruno Veloso, Carlos Martins, Raphael Espanha, Raul Azevedo, João Gama:
Fraud detection using heavy hitters: a case study. SAC 2020: 482-489 - [c13]Fátima Leal, Bruno Veloso, Benedita Malheiro, Horacio González-Vélez:
Trust and Reputation Smart Contracts for Explainable Recommendations. WorldCIST (1) 2020: 124-133
2010 – 2019
- 2019
- [j4]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]Bruno M. Veloso, Fátima Leal, Benedita Malheiro, Juan-Carlos Burguillo:
On-line guest profiling and hotel recommendation. Electron. Commer. Res. Appl. 34 (2019) - [c12]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]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, 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) - [c9]Bruno Veloso, João Gama, Benedita Malheiro:
Self Hyper-Parameter Tuning for Data Streams. DS 2018: 241-255 - [c8]Bruno Veloso, João Gama, Benedita Malheiro, João Vinagre:
Self Hyper-parameter Tuning for Stream Recommendation Algorithms. DMLE/IOTSTREAMING@PKDD/ECML 2018: 91-102 - [c7]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
- [c6]Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo, Jeremy D. Foss:
Personalised fading for stream data. SAC 2017: 870-872 - [c5]Rúben Cunha, Bruno Veloso, Benedita Malheiro:
Renegotiation of Electronic Brokerage Contracts. WorldCIST (2) 2017: 41-50 - 2016
- [c4]Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Collaborative Filtering with Semantic Neighbour Discovery. IBERAMIA 2016: 273-284 - [c3]Bruno Veloso, Benedita Malheiro, Juan-Carlos Burguillo:
CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources. PAAMS 2016: 207-218 - 2015
- [j1]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) - [c2]Bruno Veloso, Benedita Malheiro, Juan C. Burguillo:
Media Brokerage: Agent-Based SLA Negotiation. WorldCIST (1) 2015: 575-584 - 2013
- [c1]Bruno Veloso, Luís Sousa, Benedita Malheiro:
Personalised Advertising Supported by Agents. DCAI 2013: 473-481
Coauthor Index
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last updated on 2023-03-22 01:54 CET by the dblp team
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