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Browsing by Author "Bag, Subhajit."

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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 ...
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 ...
SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features

Bag, Subhajit.; Golder, Rahul.; Sarkar, Sobhan.; Maity, Saptashwa. (Engineering Applications of Artificial Intelligence, 2023-08-01)

Although there are many studies conducted on distracted driving, the growing number of accidents on roads demands further serious attention. The majority of the distracted driving-related data in real life are unlabeled ...

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