Monidipa Das

发表

Circulating Interleukin-8 Dynamics Parallels Disease Course and Is Linked to Clinical Outcomes in Severe COVID-19

S. Bandyopadhyay, R. Pandey, S. Chatterjee, 2023, Viruses.

Measuring Moran's I in a Cost-Efficient Manner to Describe a Land-Cover Change Pattern in Large-Scale Remote Sensing Imagery

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Model-Centric Explainer for Graph Neural Network based Node Classification

S. Bandyopadhyay, Monidipa Das, Sayan Saha, 2022, CIKM.

Theory-Guided Bayesian Analysis for Modeling Impact of COVID-19 on Gross Domestic Product

S. Bandyopadhyay, Monidipa Das, Aysha Basheer, 2022, TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON).

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

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, Pattern Recognit. Lett..

A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series

S. Bandyopadhyay, M. Das, S. Ghosh, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification

Mahardhika Pratama, Jie Zhang, Monidipa Das, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification

Monidipa Das, Mahardhika Pratama, Andri Ashfahani, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

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

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Expert Syst. Appl..

Real-time prediction of spatial raster time series: a context-aware autonomous learning model

Monidipa Das, Monidipa Das, 2021, Journal of Real-Time Image Processing.

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

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2017, Pattern Recognit. Lett..

A probabilistic approach for weather forecast using spatio-temporal inter-relationships among climate variables

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2014, 2014 9th International Conference on Industrial and Information Systems (ICIIS).

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

Monidipa Das, Soumya K. Ghosh, Vinay K. Dadhwal, 2017, IEEE Transactions on Knowledge and Data Engineering.

A Probabilistic Nonlinear Model for Forecasting Daily Water Level in Reservoir

Monidipa Das, Soumya K. Ghosh, R. K. Sharma, 2016, Water Resources Management.

Standard Bayesian Network Models for Spatial Time Series Prediction

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Studies in Computational Intelligence.

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

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario

Mahardhika Pratama, Tegoeh Tjahjowidodo, Monidipa Das, 2020, KDD.

A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario

Jie Zhang, Yew-Soon Ong, Mahardhika Pratama, 2020, AAAI.

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

Shashi Shekhar, Monidipa Das, Soumya K. Ghosh, 2016, SIGSPATIAL/GIS.

SPATIO-TEMPORAL PATTERN ANALYSIS FOR REGIONAL CLIMATE CHANGE USING MATHEMATICAL MORPHOLOGY

Soumya K. Ghosh, M. Das, S. Ghosh, 2015 .

Remote sensing scene classification under scarcity of labelled samples - A survey of the state-of-the-arts

S. Dutta, Monidipa Das, 2023, Comput. Geosci..

Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided Model

Akash Ghosh, S. Ghosh, Monidipa Das, 2021, SN Computer Science.

Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2020, Journal of Computer Science and Technology.

Comparative Study of Parameter Learning Complexities of Enhanced Bayesian Networks

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2019, Studies in Computational Intelligence.

Short-term prediction of land surface temperature using multifractal detrended fluctuation analysis

Monidipa Das, Soumya K. Ghosh, S. Ghosh, 2014, 2014 Annual IEEE India Conference (INDICON).

An autonomous lightweight model for aerial scene classification under labeled sample scarcity

S. Dutta, Monidipa Das, 2023, Applied Intelligence.

Introduction

Soumya K. Ghosh, Monidipa Das, 2019, Studies in Computational Intelligence.

Spatial-SMOTE for handling imbalance in spatial regression tasks

R. Gavas, Soumya K. Ghosh, Arpan Pal, 2023, Multim. Tools Appl..