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ORCIDAdway Mitra
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2020 – today
- 2024
[j5]Sumanta Chandra Mishra Sharma
, Adway Mitra:
MAUNet: a max-average neural network architecture for precipitation downscaling. Neural Comput. Appl. 36(26): 16465-16484 (2024)- [j4]Ajit Kumar Pasayat, Adway Mitra, Bhaskar Bhowmick:
Determination of essential features for predicting start-up success: an empirical approach using machine learning. Technol. Anal. Strateg. Manag. 36(8): 1810-1828 (2024) - [c18]Adway Mitra, Palash Dey:
Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood. AAMAS 2024: 1400-1408 - [c17]Priyanka Goyal, Adway Mitra, Manjira Sinha:
Asymm-Unet: A Concise Model for Segmentation of Satellite Imagery for Crop Mapping. IGARSS 2024: 9739-9743 - [i12]Anjali Raj, Adway Mitra, Manjira Sinha:
Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review. CoRR abs/2406.08031 (2024) - 2023
- [c16]Adway Mitra:
Agent-based Simulation of District-based Elections with Heterogeneous Populations. AAMAS 2023: 2730-2732 - [c15]Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City. AAMAS 2023: 2733-2735 - [c14]Manjira Sinha, Tirthankar Dasgupta, Adway Mitra:
AI and Data-driven Approaches for Agriculture. FIRE 2023: 158-159 - [c13]Anjali Raj, Shubham Agrawal, Adway Mitra, Manjira Sinha:
Mapping Slums from Satellite Imagery Using Deep Learning. IGARSS 2023: 6584-6587 - [i11]Priyanka Goyal, Sohan Patnaik, Adway Mitra, Manjira Sinha:
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. CoRR abs/2307.05700 (2023) - [i10]Adway Mitra, Palash Dey:
Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood. CoRR abs/2312.15179 (2023) - 2022
- [j3]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra:
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture. IEEE Trans. Intell. Transp. Syst. 23(8): 11891-11902 (2022) - [i9]Adway Mitra:
Exploring Fairness in District-based Multi-party Elections under different Voting Rules using Stochastic Simulations. CoRR abs/2203.03720 (2022) - [i8]Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City. CoRR abs/2205.14396 (2022) - [i7]Adway Mitra:
Agent-based Simulation of District-based Elections. CoRR abs/2205.14400 (2022) - 2021
- [c12]Adway Mitra:
Electoral David-vs-Goliath: Probabilistic Models of Spatial Distribution of Electors to Simulate District-Based Election Outcomes. WSC 2021: 1-12 - [c11]Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
City-Scale Simulation of Covid-19 Pandemic & Intervention Policies Using Agent-Based Modelling. WSC 2021: 1-12 - [i6]Gaurav Suryawanshi, Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti:
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling. CoRR abs/2104.01650 (2021) - 2020
- [c10]Adway Mitra:
A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall. CI 2020: 1-7 - [i5]Adway Mitra:
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections? CoRR abs/2006.11865 (2020) - [i4]Arjun Sharma, Adway Mitra, Vishal Vasan, Rama Govindarajan:
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens. CoRR abs/2008.08251 (2020)
2010 – 2019
- 2019
- [j2]Adway Mitra, Ashwin K. Seshadri:
Detection of spatiotemporally coherent rainfall anomalies using Markov Random Fields. Comput. Geosci. 122: 45-53 (2019) - 2018
- [i3]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra:
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE. CoRR abs/1812.07203 (2018) - 2017
- [j1]Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 430-443 (2017) - [c9]Adway Mitra:
Identifying coherent anomalies in multi-scale spatio-temporal data using Markov random fields. IEEE BigData 2017: 3454-3460 - [c8]Adway Mitra:
Bayesian approach to Spatio-temporally Consistent Simulation of Daily Monsoon Rainfall over India. SIGSPATIAL/GIS 2017: 50:1-50:4 - 2015
- [c7]Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas:
EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. IJCAI 2015: 3721-3727 - [c6]Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. SDM 2015: 801-809 - [i2]Adway Mitra:
Exploring Bayesian Models for Multi-level Clustering of Hierarchically Grouped Sequential Data. CoRR abs/1504.04850 (2015) - 2014
- [i1]Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. CoRR abs/1409.6080 (2014) - 2013
- [c5]Adway Mitra, Srujana Merugu:
Reconciliation of categorical opinions from multiple sources. CIKM 2013: 1561-1564 - [c4]Adway Mitra, Ranganath B. N., Indrajit Bhattacharya:
A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data. ECML/PKDD (2) 2013: 465-482 - 2012
- [c3]Dhruv Kumar Mahajan, Rajeev Rastogi, Charu Tiwari, Adway Mitra:
LogUCB: an explore-exploit algorithm for comments recommendation. CIKM 2012: 6-15 - [c2]Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan:
Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking. ICASSP 2012: 1497-1500 - [c1]Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan:
Covariance profiles: A signature representation for object sets. ICPR 2012: 2541-2544
Coauthor Index
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last updated on 2024-09-28 01:28 CEST by the dblp team
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