Filipe Rodrigues

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Machine Learning

Eligibility Traces

Neural Network Structure

Top Venues

Publications

Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. ECC (2024)
Zhongcan Li, Ping Huang, Chao Wen, Filipe Rodrigues
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach. CoRR (2023)
Zhongcan Li, Ping Huang, Chao Wen, Jie Li, Filipe Rodrigues
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections. Expert Syst. Appl. 229 (Part A) (2023)
Niklas Petersen, Filipe Rodrigues, Francisco Pereira
Representation Learning of Rare Temporal Conditions for Travel Time Prediction. ITSC (2023)
Filipe Rodrigues, Rodrigo Simões, Nuno Neves
FADO: A Federated Learning Attack and Defense Orchestrator. DSN-W (2023)
Filipe Rodrigues
On the Importance of Stationarity, Strong Baselines and Benchmarks in Transport Prediction Problems. ITSC (2023)
Carolin Schmidt, Daniele Gammelli, Francisco Câmara Pereira, Filipe Rodrigues
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement Learning. CoRR (2023)
Niklas Petersen, Filipe Rodrigues, Francisco Pereira
Representation learning of rare temporal conditions for travel time prediction. CoRR (2022)
Miroslawa Lukawska, Anders Fjendbo Jensen, Filipe Rodrigues
Context-aware Bayesian choice models. CoRR (2022)
Filipe Rodrigues
On the importance of stationarity, strong baselines and benchmarks in transport prediction problems. CoRR (2022)
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)
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)