13 citations · 35 across the 8 of their papers we have counts for
8 papers
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
Soumadeep Saha, Utpal Garain, Arijit Ukil +2
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise. Although this issue has been widely discus…
SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks
Arijit Ukil, Antonio Jara, Leandro Marin
Deep Neural Networks (DNN) have been successfully used to perform classification and regression tasks, particularly in computer vision based applications. Recently, owing to the wi…
Class Augmented Semi-Supervised Learning for Practical Clinical Analytics on Physiological Signals
Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri +2
Computational analysis on physiological signals would provide immense impact for enabling automated clinical analytics. However, the class imbalance issue where negative or minorit…
A Mechanism for Detection of Cooperative Black Hole Attack in Mobile Ad Hoc Networks
Jaydip Sen, Sripad Koilakonda, Arijit Ukil
A mobile ad hoc network (MANET) is a collection of autonomous nodes that communicate with each other by forming a multi-hop radio network and maintaining connections in a decentral…
Context Protecting Privacy Preservation in Ubiquitous Computing
Arijit Ukil
In ubiquitous computing domain context awareness is an important issue. So, in ubiquitous computing, mere protection of message confidentiality is not sufficient for most of the ap…
Privacy Preserving Data Aggregation in Wireless Sensor Networks
Arijit Ukil
Privacy preservation is an important issue in today's context of extreme penetration of internet and mobile technologies. It is more important in the case of Wireless Sensor Networ…