27 citations · 56 across the 11 of their papers we have counts for
11 papers
From Stress to Affect: Multimodal Deep Learning for Physiological Emotion Recognition Across Wearable Sensor Modalities
Desta Haileselassie Hagos, Saurav Keshari Aryal, Legand L. Burge
Physiological emotion recognition using wearable sensors has important applications in mental health monitoring, affective computing, and human-computer interaction. However, exist…
Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals
Desta Haileselassie Hagos, Saurav Keshari Aryal, Patrick Ymele-Leki +2
Physiological stress and emotion recognition are important for health monitoring and affective computing. In this work, we present a comprehensive evaluation of deep learning model…
BiSparse-AAS: Bilinear Sparse Attention and Adaptive Spans Framework for Scalable and Efficient Text Summarization
Desta Haileselassie Hagos, Legand L. Burge, Anietie Andy +2
Transformer-based architectures have advanced text summarization, yet their quadratic complexity limits scalability on long documents. This paper introduces BiSparse-AAS (Bilinear…
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions
Desta Haileselassie Hagos, Hassan El Alami, Danda B. Rawat
Artificial Intelligence (AI) techniques, particularly machine learning techniques, are rapidly transforming tactical operations by augmenting human decision-making capabilities. Th…
Neuro-Symbolic AI for Military Applications
Desta Haileselassie Hagos, Danda B. Rawat
Artificial Intelligence (AI) plays a significant role in enhancing the capabilities of defense systems, revolutionizing strategic decision-making, and shaping the future landscape…
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
The emergence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) has marked a new era of Natural Language Processing (NLP), introducing unprecedented capab…
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives
Danda B. Rawat, Hassan El alami, Desta Haileselassie Hagos
In this paper, we present a comprehensive survey of the metaverse, envisioned as a transformative dimension of next-generation Internet technologies. This study not only outlines t…
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
Debesh Jha, Gorkem Durak, Vanshali Sharma +12
Artificial Intelligence (AI) is poised to transform healthcare delivery through revolutionary advances in clinical decision support and diagnostic capabilities. While human experti…
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +4
With the advent of the IoT, AI, ML, and DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnos…
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +1
Due to the current COVID-19 virus, which has already been declared a pandemic by the World Health Organization (WHO), we are witnessing the greatest pandemic of the decade. Million…
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos +1
Modern neural networks require long training to reach decent performance on massive datasets. One common approach to speed up training is model parallelization, where large neural…