Monidipa Das

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Scene Classification

Labeled Samples

Top Venues

Publications

Rahul Dasharath Gavas, Monidipa Das, Soumya K. Ghosh, Arpan Pal
Spatial-SMOTE for handling imbalance in spatial regression tasks. Multim. Tools Appl. 83 (5) (2024)
Suparna Dutta, Monidipa Das, Ujjwal Maulik
Toward Causality-Based Explanation of Aerial Scene Classifiers. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. Tiny Papers @ ICLR (2023)
Suparna Dutta, Monidipa Das
Remote sensing scene classification under scarcity of labelled samples - A survey of the state-of-the-arts. Comput. Geosci. 171 (2023)
Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
SoURA: a user-reliability-aware social recommendation system based on graph neural network. Neural Comput. Appl. 35 (25) (2023)
Monidipa Das, Suparna Dutta
GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples. Appl. Intell. 53 (21) (2023)
Suparna Dutta, Monidipa Das
An autonomous lightweight model for aerial scene classification under labeled sample scarcity. Appl. Intell. 53 (19) (2023)
Monidipa Das, Soumya K. Ghosh, Vemuri M. Chowdary, Pabitra Mitra, Santosh Rijal
Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements. Remote. Sens. 14 (8) (2022)
Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
A Model-Centric Explainer for Graph Neural Network based Node Classification. CIKM (2022)
Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
GraMMy: Graph representation learning based on micro-macro analysis. Neurocomputing 506 (2022)
Monidipa Das, Soumya K. Ghosh, Sanghamitra Bandyopadhyay
A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Monidipa Das, Akash Ghosh, Soumya K. Ghosh
Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided Model. SN Comput. Sci. 2 (6) (2021)
Monidipa Das
Analyzing impact of parental occupation on child's learning performance: a semantics-driven probabilistic approach. Int. J. Data Sci. Anal. 12 (1) (2021)
Monidipa Das, Soumya K. Ghosh
Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach. COMAD/CODS (2021)
Monidipa Das, Soumya K. Ghosh
Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach. IEEE Trans. Emerg. Top. Comput. Intell. 5 (3) (2021)
Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation. PReMI (2021)
Monidipa Das, Suparna Dutta
SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences. TENCON (2021)
Suparna Dutta, Monidipa Das
PReLim: A Modeling Paradigm for Remote Sensing Image Scene Classification Under Limited Labeled Samples. PReMI (2021)
Monidipa Das
Real-time prediction of spatial raster time series: a context-aware autonomous learning model. J. Real Time Image Process. 18 (5) (2021)
Monidipa Das
Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach. IGARSS (2020)
Monidipa Das, Soumya K. Ghosh
Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts. J. Comput. Sci. Technol. 35 (3) (2020)
Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo
A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. KDD (2020)
Monidipa Das, Mahardhika Pratama, Soumya K. Ghosh
SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data. ACM Trans. Spatial Algorithms Syst. 6 (3) (2020)
Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI (2020)
Monidipa Das, Soumya K. Ghosh
Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN). COMAD/CODS (2019)
Monidipa Das, Soumya K. Ghosh
FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data. Expert Syst. Appl. 117 (2019)
Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN (2019)
Atul Patel, Monidipa Das, Soumya K. Ghosh
Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network. HIS (2019)
Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM (2019)
Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, Vemuri M. Chowdary, Ravoori Nagaraja, Vinay Kumar Dadhwal
FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN) (Extended Abstract). ICDE (2018)
Monidipa Das, Soumya K. Ghosh
Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques. Pattern Recognit. Lett. 105 (2018)
Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, V. M. Chowdary, Ravoori Nagaraja, Vinay K. Dadhwal
FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN). IEEE Trans. Knowl. Data Eng. 29 (4) (2017)
Monidipa Das, Soumya K. Ghosh
Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach. ICAPR (2017)
Monidipa Das, Soumya K. Ghosh
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data. Pattern Recognit. Lett. 93 (2017)
Monidipa Das, Soumya K. Ghosh
A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (12) (2017)
Monidipa Das, Soumya K. Ghosh
Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data. CODS (2017)
Monidipa Das, Soumya K. Ghosh
Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN). PReMI (2017)
Monidipa Das, Soumya K. Ghosh
BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatio-temporal Prediction of Daily Precipitation. SIGSPATIAL/GIS (2017)
Monidipa Das, Soumya K. Ghosh
Measuring Moran's I in a Cost-Efficient Manner to Describe a Land-Cover Change Pattern in Large-Scale Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (6) (2017)
Shrutilipi Bhattacharjee, Monidipa Das, Soumya K. Ghosh, Shashi Shekhar
Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach. SIGSPATIAL/GIS (2016)
Monidipa Das, Soumya K. Ghosh
Modeling Spatio-temporal Change Pattern using Mathematical Morphology. CODS (2016)
Monidipa Das, Soumya K. Ghosh
Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. 13 (12) (2016)
Monidipa Das, Soumya K. Ghosh
A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data. IGARSS (2016)
Monidipa Das, Soumya K. Ghosh
Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach. ICAPR (2015)