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Dive into the research topics where Leonardos Pantiskas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Optimizing Deep Learning Inference Metrics For Multivariate Time Series
Pantiskas, L., 4 Sept 2024, 141 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile93 Downloads (Pure) -
Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification
Pantiskas, L., Verstoep, K., Hoogendoorn, M. & Bal, H., 2024, 2023 International Conference on Machine Learning and Applications (ICMLA): [Proceedings] . Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Abreu, P. H. & Gama, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 480-487 8 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile165 Downloads (Pure) -
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions
Pantiskas, L., Verstoep, K., Hoogendoorn, M. & Bal, H., 2023, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA): [Proceedings]. IEEE, p. 23-28 6 p.Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile103 Downloads (Pure) -
Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification
Pantiskas, L., Verstoep, K., Hoogendoorn, M. & Bal, H., 2023, 2023 IEEE Symposium Series on Computational Intelligence (SSCI): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., p. 1406-1413 8 p. (IEEE Symposium Series on Computational Intelligence (SSCI)).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile94 Downloads (Pure) -
A Framework for Imbalanced Time-Series Forecasting
Silvestrin, L. P., Pantiskas, L. & Hoogendoorn, M., 2022, Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. & Umeton, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1. p. 250-264 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13163 LNCS).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile203 Downloads (Pure)