Browsing by Author "Maity, Saptashwa."

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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 ...
A Novel Optimized Method for Feature Selection Using Non-linear Kernel-Free Twin Quadratic Surface Support Vector Machine

Maity, Saptashwa.; Rastogi, Arjav.; Djeddi, Chawki.; Sarkar, Sobhan.; Maiti, J. (Springer, 2022-04-13)

Feature Selection (FS) is an important topic in the domain of machine learning. Support Vector Machine (SVM) is one of the most popular ML models for classification tasks. Efficient feature selection may ensure enhanced ...
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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