10 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
In-Context and Few-Shots Learning for Forecasting Time Series Data based on Large Language Models
Saroj Gopali, Bipin Chhetri, Deepika Giri +2
Existing data-driven approaches in modeling and predicting time series data include ARIMA (Autoregressive Integrated Moving Average), Transformer-based models, LSTM (Long Short-Ter…
A Survey on Blockchain-Based Federated Learning and Data Privacy
Bipin Chhetri, Saroj Gopali, Rukayat Olapojoye +2
Federated learning is a decentralized machine learning paradigm that allows multiple clients to collaborate by leveraging local computational power and the models transmission. Thi…
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models
Saroj Gopali, Faranak Abri, Sima Siami-Namini +1
There exist several data-driven approaches that enable us model time series data including traditional regression-based modeling approaches (i.e., ARIMA). Recently, deep learning t…