EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification.

@inproceedings{ikar-2023-effects, author = {Ido Ikar and Amit Somech}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{EFFECTS: Explorable and Explainable Feature Extraction Framework for Multivariate Time-Series Classification}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {5061--5065}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614740}, doi = {https://doi.org/10.1145/3583780.3614740} }