Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations

31 May 2020

Papers citing "Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations"

5 / 5 papers shown

Title
Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis Joseph Campbell Simon Stepputtis Dana Hughes Katia P. Sycara 29 15 0 23 Feb 2023
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring Jeroen Van Der Donckt Jonas Van Der Donckt Emiel Deprost N. Vandenbussche Michael Rademaker Gilles Vandewiele Sofie Van Hoecke 24 35 0 15 Jul 2022
Automated Mobility Context Detection with Inertial Signals Antonio Bevilacqua L. Alcock Brian Caulfield Eran Gazit C. Hansen N. Ireson Georgiana Ifrim 19 1 0 16 May 2022
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets Antoine Guillaume Christel Vrain Wael Elloumi AI4TS 45 31 0 28 Sep 2021
Pattern Sampling for Shapelet-based Time Series Classification A. Raza Stefan Kramer AI4TS 13 0 0 16 Feb 2021