Monidipa Das - Citegraph

Author Info

Name	Affiliation	Papers
MONIDIPA DAS	School of Computer Science and Engineering, Nanyang Technological University, Singapore	25
Collaborators	Citations	PageRank
24	21	9.31
Referers	Referees	References
40	298	113

Search Limit

100298

Publications (25 rows)

Collaborators (24 rows)

Referers (40 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series	0	0.34	2022
Statistical and Machine Learning Models for Remote Sensing Data Mining-Recent Advancements	0	0.34	2022
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach	0	0.34	2021
Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach	0	0.34	2021
Mapping the Impact of COVID-19 Lockdown on Urban Surface Ecological Status (USES): A Case Study of Kolkata Metropolitan Area (KMA), India	0	0.34	2021
Analyzing Impact Of Parental Occupation On Child'S Learning Performance: A Semantics-Driven Probabilistic Approach	0	0.34	2021
Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided Model.	0	0.34	2021
A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario	0	0.34	2020
Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts.	0	0.34	2020
A Skip-Connected Evolving Recurrent Neural Network For Data Stream Classification Under Label Latency Scenario	1	0.38	2020
Online Prediction Of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach	0	0.34	2020
SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data	0	0.34	2020
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification	1	0.34	2019
Space-time Prediction of High Resolution Raster Data - An Approach based on Spatio-temporal Bayesian Network (STBN).	0	0.34	2019
FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data.	0	0.34	2019
Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques.	1	0.43	2018
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data.	4	0.50	2017
A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis.	5	0.48	2017
FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN).	4	0.56	2017
Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach	0	0.34	2017
Measuring Moran's I in a Cost-Efficient Manner to Describe a Land-Cover Change Pattern in Large-Scale Remote Sensing Imagery.	1	0.35	2017
A Cost-Efficient Approach For Measuring Moran'S Index Of Spatial Autocorrelation In Geostationary Satellite Data	1	0.41	2016
Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach.	0	0.34	2016
Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data.	2	0.39	2016
Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach	1	0.39	2015