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Joel Ribeiro
Joel Ribeiro
Researcher at INESC Technology and Science - Associate Laboratory
Verified email at inesctec.pt - Homepage
Title
Cited by
Cited by
Year
Process mining manifesto
W van der Aalst, A Adriansyah, AKA de Medeiros, F Arcieri, T Baier, ...
Business process management workshops, 169-194, 2012
18462012
Flexible heuristics miner (FHM)
A Weijters, JTS Ribeiro
Computational Intelligence and Data Mining (CIDM), 2011 IEEE Symposium on …, 2011
6142011
A Recommender System for Process Discovery
J Ribeiro, J Carmona, M Mısır, M Sebag
Business Process Management, 67-83, 2014
432014
Event cube: another perspective on business processes
JTS Ribeiro, A Weijters
On the Move to Meaningful Internet Systems: OTM 2011, 274-283, 2011
392011
Discovering telecom fraud situations through mining anomalous behavior patterns
R Alves, P Ferreira, O Belo, J Lopes, J Ribeiro, L Cortesão, F Martins
KDD 2006 workshop on data mining for business applications, Philadelphia, USA, 2006
312006
Improving Product Quality and Reliability with Customer Experience Data
A Brombacher, E Hopma, A Ittoo, Y Lu, I Luyk, L Maruster, J Ribeiro, ...
Quality and Reliability Engineering International 28 (8), 873-886, 2012
232012
Quantitative Analysis of Resource-Constrained Business Processes
CAL Oliveira, RMF Lima, HA Reijers, JTS Ribeiro
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions …, 2012
202012
Accessibility as an indicator to estimate social exclusion in public transport
J Ribeiro, T Fontes, C Soares, JL Borges
Transportation Research Procedia 52, 740-747, 2021
142021
Multidimensional Process Discovery
J Ribeiro
Technische Universiteit Eindhoven, 2013
132013
Process discovery on geolocation data
J Ribeiro, T Fontes, C Soares, JL Borges
Transportation Research Procedia 47, 139-146, 2020
122020
A Method for Assessing Parameter Impact on Control-Flow Discovery Algorithms
J Ribeiro, J Carmona
Proceedings of the International Workshop on Algorithms & Theories for the …, 2015
112015
A Deep Learning Approach for Predicting Bus Passenger Demand Based on Weather Conditions
T Fontes, R Correia, J Ribeiro, JL Borges
Transport and Telecommunication Journal 21 (4), 255-264, 2020
92020
Mining top-K multidimensional gradients
R Alves, O Belo, J Ribeiro
Data Warehousing and Knowledge Discovery, 375-384, 2007
92007
RS4PD: A Tool for Recommending Control-Flow Algorithms.
J Ribeiro, J Carmona
BPM (Demos), 66, 2014
72014
Detecting Telecommunications Fraud based on Signature Clustering Analysis
P Ferreira, R Alves, O Belo, J Ribeiro
Proceedings of Business Intelligence Workshop of 13th Portuguese Conference …, 2007
72007
A Method for Assessing Parameter Impact on Control-Flow Discovery Algorithms
J Ribeiro, J Carmona
Transactions on Petri Nets and Other Models of Concurrency 9930, 181-202, 2016
42016
Mining significant change patterns in multidimensional spaces
R Alves, J Ribeiro, O Belo
International Journal of Business Intelligence and Data Mining 4 (3), 219-241, 2009
42009
Leveraging Social Media as a Source of Mobility Intelligence: An NLP-Based Approach
T Fontes, F Murçós, E Carneiro, J Ribeiro, RJF Rossetti
IEEE Open Journal of Intelligent Transportation Systems, 2023
22023
Detection of vehicle-based operations from geolocation data
J Tavares, J Ribeiro, T Fontes
Transportation Research Procedia 62, 341-349, 2022
22022
Ranking gradients in multi-dimensional spaces
R Alves, J Ribeiro, O Belo, J Han
Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval …, 2009
22009
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