research
∙
09/19/2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
Machine learning and deep learning methods have been widely explored in ...
share
research
∙
06/14/2023
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Transformers have gained popularity in time series forecasting for their...
research
∙
06/01/2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Time series forecasting using historical data has been an interesting an...
research
∙
07/06/2021
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
This study proposed a novel framework for COVID-19 severity prediction, ...
research
∙
05/27/2021
ICDAR 2021 Competition on Historical Map Segmentation
This paper presents the final results of the ICDAR 2021 Competition on H...
research
∙
05/25/2021
Quantum Embedding Search for Quantum Machine Learning
This paper introduces a novel quantum embedding search algorithm (QES, p...
research
∙
02/21/2021
Contrastive Self-supervised Neural Architecture Search
This paper proposes a novel cell-based neural architecture search algori...
research
∙
01/25/2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
Probabilistic forecasting of high dimensional multivariate time series i...
research
∙
04/25/2020
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
As the advancement of deep learning (DL), the Internet of Things and clo...
research
∙
10/12/2018
Estimating Information Flow in Neural Networks
We study the flow of information and the evolution of internal represent...
research
∙
11/16/2016
