• Is growth political? From the perspective of geopolitical risk 

  Jha, Saakshi (Proceedings of the 6th International Conference on Management, Economics and Finance, 2023-03-10)

  This study explores the impact of heightened geopolitical risk (GPR) on the economic growth of 18 emerging countries partly attributed to the level of democracy. We examine if the countries more democratic could withstand ...
• Quantifying data imbalance using exponential f-divergence 

  Sarkar, Sobhan; Pramanik, Anima (2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), 2023-06-08)

  In this study, a new measure of imbalance is introduced in order to compute the extent of imbalance for multiclass data. In the case of binary datasets, the Imbalance Ratio (IR) can be used to measure the amount of imbalance. ...
• An NLP-Based Approach to Examine Customer Views about Virtual Tourism Sites 

  Ray, Ananya.; Bala, Pradip Kumar.; Ray, Arghya. (2nd International Conference on Technology, Innovation, and Sustainability in Business Management, Middlesex University Dubai., 2023-05-03)
• Impact of jay customer on frontline employees: a qualitative; quantitative study of Indian hospitality industry 

  Chaudhuri, Ranjan (Annual Conference in Houston, Texas., 2023-03-08)
• Employment opportunities in education sector of India: An analysis using PLFS data 

  Bairwa, Arun Kumar; Jha, Saakshi (63rd Labor Economics Conferences, Rajiv Gandhi University, 2023-03-01)

  Increasing human capital of a nation is important for its long-run economic growth and development. Increase in human capital requires higher education for the citizen of an economy. The works related to education comes ...
• Role of Entrepreneurial Ecosystem Factors in Shaping the Entrepreneurial Intention Among Management Students in India 

  Kumar, Rohit.; Gupta, Deeksha. (Fifteenth Biennial Conference on Entrepreneurship; EDII, Ahmedabad, Gujarat, 2023-02-22)
• Do different measures of inflation expectations matter? A comparative analysis for India. 

  Jha, Saakshi (42nd EBES CONFERENCE, 2023-01-12)

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• What drives users to visit virtual tourism sites? An NLP-based approach to examine online customer comments 

  Ray, Ananya.; Ray, Arghya.; Bala, Pradip Kumar. (INDAM 2023, SBM-NMIMS Mumbai, 2023-01-06)
• G-AUC : an improved metric for classification model selection 

  Sadafule, S.; Sarkar, Sobhan.; Wu, S. (The 26th International Computer Science and Engineering Conference 2022 (ICSEC 2022), 2022-12)
• Deep Network-based Slow Feature Analysis for Human Fall Detection 

  Pramanik, A.; Venkatagiri, K.; Sarkar, Sobhan.; Pal, S. K. (The International Conference on Computational Modelling, Simulation and Optimization (ICCMSO-2022), 2022-12)
• An NLP-based approach to understand customer views about virtual tourism 

  Ray, Ananya.; Bala, Pradip Kumar.; Ray, Arghya. (Jagdish Sheth School of Management (JAGSoM) Bengaluru, 2022-12-27)
• Deep Network-based Slow Feature Analysis for Human Fall Detection 

  Pramanik, Anima.; Venkatagiri, Kavya.; Sarkar, Sobhan.; Pal, Sankar K. (Institute of Electrical and Electronics Engineers (IEEE), 2022-12-23)

  One of the most concerning safety hazards for elderly people is abnormal falls in public places. Vision-based fall detection using ambient cameras is a popular non-intrusive solution. Recent research uses Slow Feature ...
• Big Data Analytics Adoption and Firm Performances: A Meta-Analysis Study 

  Raj, Alok.; Ranjan Kumar, Rajeev. (POMS India International Conference 2022, 2022-12-21)
• Who Will Adopt Electric Vehicles? Heterogeneity in Indian Consumer Preferences towards Electric Vehicles 

  Ranjan Kumar, Rajeev. (POMS India International Conference 2022, 2022-12-21)
• Deep Learning and opinion mining to extract hidden insights from online reviews of online travel agency(OTA) apps 

  Ray, Ananya.; Bala, Pradip Kumar.; Ray, Arghya (9th International Conference on Business Analytics and Intelligence (BAICONF2022), IIM Bangalore, 2022-12-15)
• Implementation of a Priority Queue to Optimize Resources during Manual Verification of Fake News 

  Karkaria, Piran.; Golder, Rahul.; Sarkar, Sobhan. (2022 International Conference on Data Analytics for Business and Industry (ICDABI), 2022-10)

  Combating fake news on social media is a critical challenge in today's digital age, especially when misinformation is spread regarding vital matters such as the Covid-19 pandemic. Manual verification of all content is ...
• Unsupervised and Categorical Sentiment Segmentation of Customer Product Reviews 

  Singh, Aditya Kumar.; Golder, Rahul.; Sarkar, Sobhan. (2022 International Conference on Data Analytics for Business and Industry (ICDABI), 2022-10)

  In Consumer Review Analysis (CRA), identification of the context of reviews holds paramount importance. In this purview, it is the responsibility of all businesses to suffice their underlying sectors with a structured and ...
• Identifying spammer groups in consumer reviews using meta-data via bipartite graph approach 

  Balakrishna, Varun.; Bag, Subhajit.; Sarkar, Sobhan. (2022 International Conference on Data Analytics for Business and Industry (ICDABI), 2022-10)

  Nowadays, online product reviews are more common on e-commerce platforms. Before making a purchase, people frequently consult product reviews to assess the quality of the item. However, the review system has been seriously ...
• Crash severity analysis in distracted driving using unlabeled and imbalanced data: A novel approach using Robust Two-Phase Ensemble Predictor 

  Bag, Subhajit.; Maity, Saptashwa.; Sarkar, Sobhan. (2022 International Conference on Data Analytics for Business and Industry (ICDABI), 2022-10)

  Distracted driving plays a pivotal role in road accidents. Therefore, prediction of the crash severity due to distracted driving is essential. Although several machine learning techniques exist for such prediction, it is ...
• Handling sparsity and seasonality problems simultaneously in session-based recommender systems using graph collaborative filtering 

  Bag, Subhajit.; Kumar, Anmol.; Sarkar, Sobhan. (2022 International Conference on Data Analytics for Business and Industry (ICDABI), 2022-10)

  Session-based recommender systems have evolved as a new paradigm in recent years, intending to capture short-term yet dynamic user preferences to give more timely and accurate suggestions that are responsive to the change ...

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