# Monidipa Das

According to our database

Collaborative distances:

^{1}, Monidipa Das authored at least 13 papers between 2015 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data.

Expert Syst. Appl., 2019

2018

Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques.

Pattern Recognition Letters, 2018

FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN) (Extended Abstract).

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN).

IEEE Trans. Knowl. Data Eng., 2017

semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data.

Pattern Recognition Letters, 2017

Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN).

Proceedings of the Pattern Recognition and Machine Intelligence, 2017

BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatio-temporal Prediction of Daily Precipitation.

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data.

Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017

2016

Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data.

IEEE Geosci. Remote Sensing Lett., 2016

A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data.

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach.

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Modeling Spatio-temporal Change Pattern using Mathematical Morphology.

Proceedings of the 3rd IKDD Conference on Data Science, 2016

2015

Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach.

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015