64 citations · 75 across the 10 of their papers we have counts for
10 papers
DualGate-Net: A Prior-Gated Dual-Encoder Framework for Histopathology Cell Detection
Bahman Jafari Tabaghsar, Son Tran, K. Devaraja +1
Cell detection in histopathology images strongly depends on surrounding tissue context, where visually similar cells may belong to different classes under different microenvironmen…
Noise-Aware Visual Representation Learning for Medical Visual Question Answering
I Putu Adi Pratama, Bahadorreza Ofoghi, Atul Sajjanhar +1
Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant quer…
Window-Based Feature Engineering for Cognitive Workload Detection
Andrew Hallam, R G Gayathri, Glory Lee +1
Cognitive workload is a topic of increasing interest across various fields such as health, psychology, and defense applications. In this research, we focus on classifying cognitive…
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai, Yiliao Song, Di Wu +6
One-Shot Federated Learning (OSFL) restricts communication between the server and clients to a single round, significantly reducing communication costs and minimizing privacy leaka…
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
R G Gayathri, Atul Sajjanhar, Md Palash Uddin +1
Insider threats usually occur from within the workplace, where the attacker is an entity closely associated with the organization. The sequence of actions the entities take on the…
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis
R G Gayathri, Atul Sajjanhar, Yong Xiang
Cyberattacks from within an organization's trusted entities are known as insider threats. Anomaly detection using deep learning requires comprehensive data, but insider threat data…
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data
R G Gayathri, Atul Sajjanhar, Yong Xiang +1
Insider threats are the cyber attacks from within the trusted entities of an organization. Lack of real-world data and issue of data imbalance leave insider threat analysis an unde…
Image-Based Feature Representation for Insider Threat Classification
Gayathri R G, Atul Sajjanhar, Yong Xiang
Insiders are the trusted entities in the organization, but poses threat to the with access to sensitive information network and resources. The insider threat detection is a well st…
Our Practice Of Using Machine Learning To Recognize Species By Voice
Siddhardha Balemarthy, Atul Sajjanhar, James Xi Zheng
As the technology is advancing, audio recognition in machine learning is improved as well. Research in audio recognition has traditionally focused on speech. Living creatures (espe…