Summary of Hiervar: a Hierarchical Feature Selection Method For Time Series Analysis, by Alireza Keshavarzian et al.
HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysisby Alireza Keshavarzian, Shahrokh ValaeeFirst submitted…
Summary of Towards Effective Fusion and Forecasting Of Multimodal Spatio-temporal Data For Smart Mobility, by Chenxing Wang
Towards Effective Fusion and Forecasting of Multimodal Spatio-temporal Data for Smart Mobilityby Chenxing WangFirst submitted…
Summary of Predicting Stock Prices with Finbert-lstm: Integrating News Sentiment Analysis, by Wenjun Gu et al.
Predicting Stock Prices with FinBERT-LSTM: Integrating News Sentiment Analysisby Wenjun Gu, Yihao Zhong, Shizun Li,…
Summary of Enhancing Wildfire Forecasting Through Multisource Spatio-temporal Data, Deep Learning, Ensemble Models and Transfer Learning, by Ayoub Jadouli et al.
Enhancing Wildfire Forecasting Through Multisource Spatio-Temporal Data, Deep Learning, Ensemble Models and Transfer Learningby Ayoub…
Summary of Ensemble Quantile-based Deep Learning Framework For Streamflow and Flood Prediction in Australian Catchments, by Rohitash Chandra et al.
Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchmentsby Rohitash Chandra,…
Summary of Improving Prediction Of Need For Mechanical Ventilation Using Cross-attention, by Anwesh Mohanty et al.
Improving Prediction of Need for Mechanical Ventilation using Cross-Attentionby Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan…
Summary of Enhancing Cognitive Workload Classification Using Integrated Lstm Layers and Cnns For Fnirs Data Analysis, by Mehshan Ahmed Khan et al.
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysisby Mehshan…
Summary of Comprehensive Study on Performance Evaluation and Optimization Of Model Compression: Bridging Traditional Deep Learning and Large Language Models, by Aayush Saxena et al.
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and…
Summary of Model Editing For Distribution Shifts in Uranium Oxide Morphological Analysis, by Davis Brown et al.
Model editing for distribution shifts in uranium oxide morphological analysisby Davis Brown, Cody Nizinski, Madelyn…
Summary of Long Input Sequence Network For Long Time Series Forecasting, by Chao Ma et al.
Long Input Sequence Network for Long Time Series Forecastingby Chao Ma, Yikai Hou, Xiang Li,…