Leonardos Pantiskas

According to our database, Leonardos Pantiskas authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multivariate Time Series Early Classification Across Channel and Time Dimensions.

Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal

CoRR, 2023

Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification.

Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification.

Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions.

Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS.

Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

2021

A Framework for Imbalanced Time-Series Forecasting.

Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks.

Leonardos Pantiskas, Kees Verstoep, Henri E. Bal

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020