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Filipe Rodrigues

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2023
[c3]
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  - conf/dsn/RodriguesSN23
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Filipe Rodrigues, Rodrigo Simões, Nuno Neves:
FADO: A Federated Learning Attack and Defense Orchestrator. DSN-W 2023: 141-148
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  - journals/corr/abs-2303-15489
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Zhongcan Li, Ping Huang, Chao Wen, Filipe Rodrigues:
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach. CoRR abs/2303.15489 (2023)
2022
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Filipe Rodrigues:
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems. CoRR abs/2203.02954 (2022)
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  - journals/corr/abs-2208-04667
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Niklas Petersen, Filipe Rodrigues, Francisco Pereira:
Representation learning of rare temporal conditions for travel time prediction. CoRR abs/2208.04667 (2022)
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Miroslawa Lukawska, Anders Fjendbo Jensen, Filipe Rodrigues:
Context-aware Bayesian choice models. CoRR abs/2210.05737 (2022)
2020
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Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, Paulo Cortez:
Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology. ICEIS (1) 2020: 548-555
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Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado, Paulo Cortez:
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features. AIAI (2) 2020: 244-255

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