Summary of Fault Analysis and Predictive Maintenance Of Induction Motor Using Machine Learning, by Kavana Venkatesh et al.
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learningby Kavana Venkatesh, Neethi MFirst…
Summary of Cosco: a Sharpness-aware Training Framework For Few-shot Multivariate Time Series Classification, by Jesus Barreda et al.
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classificationby Jesus Barreda, Ashley Gomez,…
Summary of Predicting Building Types and Functions at Transnational Scale, by Jonas Fill et al.
Predicting building types and functions at transnational scaleby Jonas Fill, Michael Eichelbeck, Michael EbnerFirst submitted…
Summary of Finetuning Clip to Reason About Pairwise Differences, by Dylan Sam et al.
Finetuning CLIP to Reason about Pairwise Differencesby Dylan Sam, Devin Willmott, Joao D. Semedo, J.…
Summary of Oml-ad: Online Machine Learning For Anomaly Detection in Time Series Data, by Sebastian Wette et al.
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Databy Sebastian Wette, Florian HeinrichsFirst…
Summary of Darda: Domain-aware Real-time Dynamic Neural Network Adaptation, by Shahriar Rifat et al.
DARDA: Domain-Aware Real-Time Dynamic Neural Network Adaptationby Shahriar Rifat, Jonathan Ashdown, Francesco RestucciaFirst submitted to…
Summary of On the Generalizability Of Foundation Models For Crop Type Mapping, by Yi-chia Chang et al.
On the Generalizability of Foundation Models for Crop Type Mappingby Yi-Chia Chang, Adam J. Stewart,…
Summary of Tx-gen: Multi-objective Optimization For Sparse Counterfactual Explanations For Time-series Classification, by Qi Huang et al.
TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classificationby Qi Huang, Sofoklis Kitharidis, Thomas…
Summary of Malady: Multiclass Active Learning with Auction Dynamics on Graphs, by Gokul Bhusal et al.
MALADY: Multiclass Active Learning with Auction Dynamics on Graphsby Gokul Bhusal, Kevin Miller, Ekaterina MerkurjevFirst…
Summary of Cross-entropy Optimization For Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks, by Kevin Li et al.
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networksby Kevin…