Monidipa Das
According to our database^{1},
Monidipa Das
authored at least 17 papers
between 2015 and 2019.
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Bibliography
2019
FBSTEP: A fuzzy Bayesian network based datadriven framework for spatiotemporal prediction of climatological time series data.
Expert Syst. Appl., 2019
Spacetime Prediction of High Resolution Raster Data: An Approach based on Spatiotemporal Bayesian Network (STBN).
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019
2018
Datadriven approaches for meteorological time series prediction: A comparative study of the stateoftheart 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
A DeepLearningBased Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017
Measuring Moran's I in a CostEfficient Manner to Describe a LandCover Change Pattern in LargeScale Remote Sensing Imagery.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2017
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data.
Pattern Recognition Letters, 2017
SpatioTemporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN).
Proceedings of the Pattern Recognition and Machine Intelligence, 2017
Spatiotemporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graphbased Approach.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017
BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatiotemporal Prediction of Daily Precipitation.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
Spatiotemporal Autocorrelation Analysis for Regional Landcover Change Detection from Remote Sensing Data.
Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, 2017
2016
DeepSTEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data.
IEEE Geosci. Remote Sensing Lett., 2016
A costefficient 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 aposteriori 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 Spatiotemporal Change Pattern using Mathematical Morphology.
Proceedings of the 3rd IKDD Conference on Data Science, 2016
2015
Detection of climate zones using multifractal detrended crosscorrelation analysis: A spatiotemporal data mining approach.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015