Monidipa Das - RankMe

51 papers A* 4A 1B 1C 4Journal 26Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Lightweight Aerial Scene Classifier Based on Adaptive Fusion of MobileNet and CapsNet. IEEE Signal Process. Lett. Suparna Dutta, Monidipa Das, Ujjwal Maulik
2025	—	`conf`	A Multimodal Explainable AI Framework for Interpreting Image Classifiers. PReMI (2) Arju Bano, Monidipa Das, Rajendra Pamula
2025	J	`jnl`	Enhancing model explainability through S-GuISE: A spectral clustering-guided input sampling scheme for explanation. Neurocomputing Arju Bano, Monidipa Das
2025	J	`jnl`	Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs. IEEE Trans. Neural Networks Learn. Syst. Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
2025	J	`jnl`	Lightweight deep learning models for aerial scene classification: A comprehensive survey. Eng. Appl. Artif. Intell. Suparna Dutta, Monidipa Das, Ujjwal Maulik
2024	—	`conf`	A Guided Input Sampling-Based Perturbative Approach for Explainable AI in Image-Based Application. ICPR (4) Arju Bano, Monidipa Das
2024	J	`jnl`	Spatial-SMOTE for handling imbalance in spatial regression tasks. Multim. Tools Appl. Rahul Dasharath Gavas, Monidipa Das, Soumya K. Ghosh, Arpan Pal
2024	J	`jnl`	Toward Causality-Based Explanation of Aerial Scene Classifiers. IEEE Geosci. Remote. Sens. Lett. Suparna Dutta, Monidipa Das, Ujjwal Maulik
2023	J	`jnl`	An autonomous lightweight model for aerial scene classification under labeled sample scarcity. Appl. Intell. Suparna Dutta, Monidipa Das
2023	J	`jnl`	GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples. Appl. Intell. Monidipa Das, Suparna Dutta
2023	—	`conf`	GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. Tiny Papers @ ICLR Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
2023	J	`jnl`	Remote sensing scene classification under scarcity of labelled samples - A survey of the state-of-the-arts. Comput. Geosci. Suparna Dutta, Monidipa Das
2023	J	`jnl`	SoURA: a user-reliability-aware social recommendation system based on graph neural network. Neural Comput. Appl. Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
2022	A	`conf`	A Model-Centric Explainer for Graph Neural Network based Node Classification. CIKM Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
2022	J	`jnl`	A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series. IEEE Trans. Geosci. Remote. Sens. Monidipa Das, Soumya K. Ghosh, Sanghamitra Bandyopadhyay
2022	J	`jnl`	GraMMy: Graph representation learning based on micro-macro analysis. Neurocomputing Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
2022	J	`jnl`	Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements. Remote. Sens. Monidipa Das, Soumya K. Ghosh, Vemuri M. Chowdary, Pabitra Mitra, Santosh Rijal
2021	—	`conf`	Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach. COMAD/CODS Monidipa Das, Soumya K. Ghosh
2021	J	`jnl`	Analyzing impact of parental occupation on child's learning performance: a semantics-driven probabilistic approach. Int. J. Data Sci. Anal. Monidipa Das
2021	—	`conf`	CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation. PReMI Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay
2021	J	`jnl`	Does Climate Variability Impact COVID-19 Outbreak? An Enhanced Semantics-Driven Theory-Guided Model. SN Comput. Sci. Monidipa Das, Akash Ghosh, Soumya K. Ghosh
2021	—	`conf`	PReLim: A Modeling Paradigm for Remote Sensing Image Scene Classification Under Limited Labeled Samples. PReMI Suparna Dutta, Monidipa Das
2021	J	`jnl`	Real-time prediction of spatial raster time series: a context-aware autonomous learning model. J. Real Time Image Process. Monidipa Das
2021	J	`jnl`	Reducing Parameter Value Uncertainty in Discrete Bayesian Network Learning: A Semantic Fuzzy Bayesian Approach. IEEE Trans. Emerg. Top. Comput. Intell. Monidipa Das, Soumya K. Ghosh
2021	C	`conf`	SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences. TENCON Monidipa Das, Suparna Dutta
2020	A*	`conf`	A Self-Evolving Mutually-Operative Recurrent Network-based Model for Online Tool Condition Monitoring in Delay Scenario. KDD Monidipa Das, Mahardhika Pratama, Tegoeh Tjahjowidodo
2020	A*	`conf`	A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong
2020	J	`jnl`	Data-Driven Approaches for Spatio-Temporal Analysis: A Survey of the State-of-the-Arts. J. Comput. Sci. Technol. Monidipa Das, Soumya K. Ghosh
2020	—	`book`	Enhanced Bayesian Network Models for Spatial Time Series Prediction - Recent Research Trend in Data-Driven Predictive Analytics Monidipa Das, Soumya K. Ghosh
2020	C	`conf`	Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach. IGARSS Monidipa Das
2020	J	`jnl`	SARDINE: A Self-Adaptive Recurrent Deep Incremental Network Model for Spatio-Temporal Prediction of Remote Sensing Data. ACM Trans. Spatial Algorithms Syst. Monidipa Das, Mahardhika Pratama, Soumya K. Ghosh
2019	J	`jnl`	FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data. Expert Syst. Appl. Monidipa Das, Soumya K. Ghosh
2019	B	`conf`	FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta
2019	A*	`conf`	MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang
2019	C	`conf`	Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network. HIS Atul Patel, Monidipa Das, Soumya K. Ghosh
2019	—	`conf`	Space-time Prediction of High Resolution Raster Data: An Approach based on Spatio-temporal Bayesian Network (STBN). COMAD/CODS Monidipa Das, Soumya K. Ghosh
2018	J	`jnl`	Data-driven approaches for meteorological time series prediction: A comparative study of the state-of-the-art computational intelligence techniques. Pattern Recognit. Lett. Monidipa Das, Soumya K. Ghosh
2018	A*	`conf`	FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN) (Extended Abstract). ICDE Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, Vemuri M. Chowdary, Ravoori Nagaraja, Vinay Kumar Dadhwal
2017	J	`jnl`	A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Monidipa Das, Soumya K. Ghosh
2017	—	`conf`	BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatio-temporal Prediction of Daily Precipitation. SIGSPATIAL/GIS Monidipa Das, Soumya K. Ghosh
2017	J	`jnl`	FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN). IEEE Trans. Knowl. Data Eng. Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, V. M. Chowdary, Ravoori Nagaraja, Vinay K. Dadhwal
2017	J	`jnl`	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. Monidipa Das, Soumya K. Ghosh
2017	—	`conf`	Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN). PReMI Monidipa Das, Soumya K. Ghosh
2017	—	`conf`	Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data. CODS Monidipa Das, Soumya K. Ghosh
2017	—	`conf`	Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach. ICAPR Monidipa Das, Soumya K. Ghosh
2017	J	`jnl`	semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data. Pattern Recognit. Lett. Monidipa Das, Soumya K. Ghosh
2016	C	`conf`	A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data. IGARSS Monidipa Das, Soumya K. Ghosh
2016	J	`jnl`	Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data. IEEE Geosci. Remote. Sens. Lett. Monidipa Das, Soumya K. Ghosh
2016	—	`conf`	Modeling Spatio-temporal Change Pattern using Mathematical Morphology. CODS Monidipa Das, Soumya K. Ghosh
2016	—	`conf`	Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach. SIGSPATIAL/GIS Shrutilipi Bhattacharjee, Monidipa Das, Soumya K. Ghosh, Shashi Shekhar
2015	—	`conf`	Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach. ICAPR Monidipa Das, Soumya K. Ghosh