Syama Sundar Rangapuram

Publications by Year

Research Areas

Time Series Analysis and Forecasting, Stock Market Forecasting Methods, Forecasting Techniques and Applications, Neural Networks and Applications, Face and Expression Recognition

Most-Cited Works

• Deep State Space Models for Time Series Forecasting(2018)
• → Deep Learning for Time Series Forecasting: Tutorial and Literature Survey(2022)280 cited
• GluonTS: Probabilistic and Neural Time Series Modeling in Python(2020)
• → Elastic Machine Learning Algorithms in Amazon SageMaker(2020)101 cited
• → Towards realistic team formation in social networks based on densest subgraphs(2013)85 cited
• Probabilistic Forecasting with Spline Quantile Function RNNs(2019)
• → GluonTS: Probabilistic Time Series Models in Python(2019)76 cited
• → The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited(2013)73 cited
• Neural forecasting: Introduction and literature overview.(2020)
• Normalizing Kalman Filters for Multivariate Time Series Analysis(2020)