default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMonidipa Das
Person information
- affiliation: Nanyang Technological University, Singapore
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j22]Suparna Dutta
, Monidipa Das, Ujjwal Maulik:
Toward Causality-Based Explanation of Aerial Scene Classifiers. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j21]Rahul Dasharath Gavas, Monidipa Das, Soumya K. Ghosh, Arpan Pal:
Spatial-SMOTE for handling imbalance in spatial regression tasks. Multim. Tools Appl. 83(5): 14111-14132 (2024) - 2023
- [j20]Suparna Dutta, Monidipa Das:
An autonomous lightweight model for aerial scene classification under labeled sample scarcity. Appl. Intell. 53(19): 22216-22227 (2023) - [j19]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): 25919-25930 (2023) - [j18]Suparna Dutta, Monidipa Das:
Remote sensing scene classification under scarcity of labelled samples - A survey of the state-of-the-arts. Comput. Geosci. 171: 105295 (2023) - [j17]Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay:
SoURA: a user-reliability-aware social recommendation system based on graph neural network. Neural Comput. Appl. 35(25): 18533-18551 (2023) - [c22]Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay:
GraphEx: A User-Centric Model-Level Explainer for Graph Neural Networks. Tiny Papers @ ICLR 2023 - 2022
- [j16]Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay:
GraMMy: Graph representation learning based on micro-macro analysis. Neurocomputing 506: 84-95 (2022) - [j15]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): 1906 (2022) - [j14]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: 1-13 (2022) - [c21]Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay:
A Model-Centric Explainer for Graph Neural Network based Node Classification. CIKM 2022: 4434-4438 - 2021
- [j13]Monidipa Das:
Analyzing impact of parental occupation on child's learning performance: a semantics-driven probabilistic approach. Int. J. Data Sci. Anal. 12(1): 31-44 (2021) - [j12]Monidipa Das:
Real-time prediction of spatial raster time series: a context-aware autonomous learning model. J. Real Time Image Process. 18(5): 1591-1605 (2021) - [j11]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): 452 (2021) - [j10]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): 361-372 (2021) - [c20]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: 1-9 - [c19]Sucheta Dawn, Monidipa Das, Sanghamitra Bandyopadhyay:
CateReR: A Graph Neural Network-Based Model for Category-Wise Reliability-Aware Recommendation. PReMI 2021: 200-210 - [c18]Suparna Dutta, Monidipa Das:
PReLim: A Modeling Paradigm for Remote Sensing Image Scene Classification Under Limited Labeled Samples. PReMI 2021: 545-555 - [c17]Monidipa Das, Suparna Dutta:
SELFIE: A Semantically-Enhanced Load Forecasting Approach with Indirect Estimate of Spatial Influences. TENCON 2021: 687-692 - 2020
- [b1]Monidipa Das, Soumya K. Ghosh:
Enhanced Bayesian Network Models for Spatial Time Series Prediction - Recent Research Trend in Data-Driven Predictive Analytics. Studies in Computational Intelligence 858, Springer 2020, ISBN 978-3-030-27748-2 - [j9]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): 665-696 (2020) - [j8]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): 16:1-16:26 (2020) - [c16]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: 3717-3724 - [c15]Monidipa Das:
Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach. IGARSS 2020: 1496-1499 - [c14]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: 2775-2783
2010 – 2019
- 2019
- [j7]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: 211-227 (2019) - [c13]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: 129-135 - [c12]Atul Patel, Monidipa Das, Soumya K. Ghosh:
Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network. HIS 2019: 52-62 - [c11]Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang:
MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. ICDM 2019: 110-119 - [c10]Monidipa Das, Mahardhika Pratama, Andri Ashfahani, Subhrajit Samanta:
FERNN: A Fast and Evolving Recurrent Neural Network Model for Streaming Data Classification. IJCNN 2019: 1-8 - 2018
- [j6]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: 155-164 (2018) - [c9]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: 1799-1800 - 2017
- [j5]Monidipa Das, Soumya K. Ghosh:
semBnet: A semantic Bayesian network for multivariate prediction of meteorological time series data. Pattern Recognit. Lett. 93: 192-201 (2017) - [j4]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): 2631-2639 (2017) - [j3]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): 5228-5236 (2017) - [j2]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): 842-855 (2017) - [c8]Monidipa Das, Soumya K. Ghosh:
Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data. CODS 2017: 8:1-8:10 - [c7]Monidipa Das, Soumya K. Ghosh:
BESTED: An Exponentially Smoothed Spatial Bayesian Analysis Model for Spatio-temporal Prediction of Daily Precipitation. SIGSPATIAL/GIS 2017: 55:1-55:4 - [c6]Monidipa Das, Soumya K. Ghosh:
Spatio-temporal Prediction under Scarcity of Influencing Variables: A Hybrid Probabilistic Graph-based Approach. ICAPR 2017: 1-6 - [c5]Monidipa Das, Soumya K. Ghosh:
Spatio-Temporal Prediction of Meteorological Time Series Data: An Approach Based on Spatial Bayesian Network (SpaBN). PReMI 2017: 615-622 - 2016
- [j1]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): 1984-1988 (2016) - [c4]Monidipa Das, Soumya K. Ghosh:
Modeling Spatio-temporal Change Pattern using Mathematical Morphology. CODS 2016: 4:1-4:10 - [c3]Shrutilipi Bhattacharjee, Monidipa Das, Soumya K. Ghosh, Shashi Shekhar:
Prediction of meteorological parameters: an a-posteriori probabilistic semantic kriging approach. SIGSPATIAL/GIS 2016: 38:1-38:10 - [c2]Monidipa Das, Soumya K. Ghosh:
A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data. IGARSS 2016: 5913-5916 - 2015
- [c1]Monidipa Das, Soumya K. Ghosh:
Detection of climate zones using multifractal detrended cross-correlation analysis: A spatio-temporal data mining approach. ICAPR 2015: 1-6
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
