Description
Linear classifier using random convolutional kernels applied to time series.
Papers Using This Method
LLMs for Engineering: Teaching Models to Design High Powered Rockets2025-04-27LCDC: Bridging Science and Machine Learning for Light Curve Analysis2025-04-14Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis2025-02-24Generative Modeling of Individual Behavior at Scale2025-02-20Pitch Plane Trajectory Tracking Control for Sounding Rockets via Adaptive Feedback Linearization2025-01-09RoBo6: Standardized MMT Light Curve Dataset for Rocket Body Classification2024-11-30Machine learning-based classification for Single Photon Space Debris Light Curves2024-11-27Flight Testing of Latch Valve with Lightweight LV-Servo Direct Drive Mechanism2024-09-13Time series classification with random convolution kernels based transforms: pooling operators and input representations matter2024-09-02A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring2024-08-23AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines2024-08-05Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis2024-08-05Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning2024-07-21Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine2024-07-13Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars2024-06-25Data Augmentation for Multivariate Time Series Classification: An Experimental Study2024-06-10DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents2024-06-10Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models2024-04-28Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches2024-04-27A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty2024-03-13