LogUCB: an explore-exploit algorithm for comments recommendation. - Dhruv Kumar Mahajan; Rajeev Rastogi; Charu Tiwari; Adway Mitra (CIKM, 2012)

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking. - Adway Mitra; Anoop Kolar Rajagopal; Ujwal D. Bonde; Chiranjib Bhattacharyya; K. R. Ramakrishnan (ICASSP, 2012)

Covariance profiles: A signature representation for object sets. - Anoop Kolar Anoop; Adway Mitra; Ujwal D. Bonde; Chiranjib Bhattacharyya; K. R. Ramakrishnan (ICPR, 2012)

Reconciliation of categorical opinions from multiple sources. - Adway Mitra; Srujana Merugu (CIKM, 2013)

A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data. - Adway Mitra; Ranganath B. N.; Indrajit Bhattacharya (ECML/PKDD (2), 2013)

Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (CoRR, 2014)

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. - Adway Mitra; Chiranjib Bhattacharyya; Soma Biswas (IJCAI, 2015)

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (SDM, 2015)

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

Identifying coherent anomalies in multi-scale spatio-temporal data using Markov random fields. - Adway Mitra (IEEE BigData, 2017)

Bayesian approach to Spatio-temporally Consistent Simulation of Daily Monsoon Rainfall over India. - Adway Mitra (SIGSPATIAL/GIS, 2017)

Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. - Adway Mitra; Soma Biswas; Chiranjib Bhattacharyya (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Adway Mitra (CoRR, 2018)

Detection of spatiotemporally coherent rainfall anomalies using Markov Random Fields. - Adway Mitra; Ashwin K. Seshadri (Comput. Geosci., 2019)

A Hybrid Deep Generative Approach to Simulate Spatial Patterns of Daily Temperature and Rainfall. - Adway Mitra (CI, 2020)

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

Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens. - Arjun Sharma; Adway Mitra; Vishal Vasan; Rama Govindarajan (CoRR, 2020)

Electoral David-vs-Goliath: Probabilistic Models of Spatial Distribution of Electors to Simulate District-Based Election Outcomes. - Adway Mitra (WSC, 2021)

City-Scale Simulation of Covid-19 Pandemic & Intervention Policies Using Agent-Based Modelling. - Gaurav Suryawanshi; Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (WSC, 2021)

City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling. - Gaurav Suryawanshi; Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (CoRR, 2021)

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

Agent-based Simulation of District-based Elections. - Adway Mitra (CoRR, 2022)

Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Adway Mitra (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City. - Varun Madhavan; Adway Mitra; Partha Pratim Chakrabarti (AAMAS, 2023)

Agent-based Simulation of District-based Elections with Heterogeneous Populations. - Adway Mitra (AAMAS, 2023)

AI and Data-driven Approaches for Agriculture. - Manjira Sinha; Tirthankar Dasgupta; Adway Mitra (FIRE, 2023)

Mapping Slums from Satellite Imagery Using Deep Learning. - Anjali Raj; Shubham Agrawal; Adway Mitra; Manjira Sinha (IGARSS, 2023)

SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. - Priyanka Goyal; Sohan Patnaik; Adway Mitra; Manjira Sinha (CoRR, 2023)

Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood. - Adway Mitra; Palash Dey (AAMAS, 2024)

SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution. - Priyanka Goyal; Adway Mitra; Manjira Sinha (COMAD/CODS (December), 2024)

Asymm-Unet: A Concise Model for Segmentation of Satellite Imagery for Crop Mapping. - Priyanka Goyal; Adway Mitra; Manjira Sinha (IGARSS, 2024)

Deep Learning for Slum Mapping in Remote Sensing Images: A Meta-analysis and Review. - Anjali Raj; Adway Mitra; Manjira Sinha (CoRR, 2024)

Determination of essential features for predicting start-up success: an empirical approach using machine learning. - Ajit Kumar Pasayat; Adway Mitra; Bhaskar Bhowmick (Technol. Anal. Strateg. Manag., 2024)

MAUNet: a max-average neural network architecture for precipitation downscaling. - Sumanta Chandra Mishra Sharma; Adway Mitra (Neural Comput. Appl., 2024)