Adway Mitra

Orcid: 0000-0001-6195-1844

According to our database1, Adway Mitra authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MAUNet: a max-average neural network architecture for precipitation downscaling.
Neural Comput. Appl., September, 2024

Determination of essential features for predicting start-up success: an empirical approach using machine learning.
Technol. Anal. Strateg. Manag., August, 2024

Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review.
CoRR, 2024

Asymm-Unet: A Concise Model for Segmentation of Satellite Imagery for Crop Mapping.
Proceedings of the IGARSS 2024, 2024

Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution.
CoRR, 2023

Mapping Slums from Satellite Imagery Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

AI and Data-driven Approaches for Agriculture.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Agent-based Simulation of District-based Elections with Heterogeneous Populations.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture.
IEEE Trans. Intell. Transp. Syst., 2022

Agent-based Simulation of District-based Elections.
CoRR, 2022

Exploring Fairness in District-based Multi-party Elections under different Voting Rules using Stochastic Simulations.
CoRR, 2022

2021
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling.
CoRR, 2021

City-Scale Simulation of Covid-19 Pandemic & Intervention Policies Using Agent-Based Modelling.
Proceedings of the Winter Simulation Conference, 2021

Electoral David-vs-Goliath: Probabilistic Models of Spatial Distribution of Electors to Simulate District-Based Election Outcomes.
Proceedings of the Winter Simulation Conference, 2021

2020
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens.
CoRR, 2020

Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?
CoRR, 2020

A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019
Detection of spatiotemporally coherent rainfall anomalies using Markov Random Fields.
Comput. Geosci., 2019

2018
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE.
CoRR, 2018

2017
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Bayesian approach to Spatio-temporally Consistent Simulation of Daily Monsoon Rainfall over India.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Identifying coherent anomalies in multi-scale spatio-temporal data using Markov random fields.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2015
Exploring Bayesian Models for Multi-level Clustering of Hierarchically Grouped Sequential Data.
CoRR, 2015

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos.
CoRR, 2014

2013
A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Reconciliation of categorical opinions from multiple sources.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Covariance profiles: A signature representation for object sets.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

LogUCB: an explore-exploit algorithm for comments recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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