| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks L Pantiskas, K Verstoep, H Bal 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1687-1694, 2020 | 32 | 2020 |
| Taking ROCKET on an efficiency mission: Multivariate time series classification with LightWaveS L Pantiskas, K Verstoep, M Hoogendoorn, H Bal 2022 18th International Conference on Distributed Computing in Sensor …, 2022 | 9 | 2022 |
| Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification L Pantiskas, K Verstoep, M Hoogendoorn, H Bal 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 3* | 2023 |
| A Framework for Imbalanced Time-Series Forecasting LP Silvestrin, L Pantiskas, M Hoogendoorn International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 2 | 2021 |
| Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification L Pantiskas, K Verstoep, M Hoogendoorn, H Bal 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1406-1413, 2023 | | 2023 |
| An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions L Pantiskas, K Verstoep, M Hoogendoorn, H Bal 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | | 2022 |
| Έξυπνα ενεργειακά δίκτυα: διαχείριση και εφαρμογές Λ Παντίσκας | | 2016 |
Henri BalVU University AmsterdamVerified email at cs.vu.nl
