445 citations · 1.1k across the 12 of their papers we have counts for
19 papers
Bridging Natural Language and ASP: A Hybrid Approach Using LLMs and AMR Parsing
Connar Hite, Sean Saud, Raef Taha +4
Answer Set Programming (ASP) is a declarative programming paradigm based on logic programming and non-monotonic reasoning. It is a tremendously powerful tool for describing and sol…
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
Yangjie Qi, Shuo Zhang, Tarek M. Taha
There is increasing demand for specialized hardware for training deep neural networks, both in edge/IoT environments and in high-performance computing systems. The design space of…
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
Md Zahangir Alom, M M Shaifur Rahman, Mst Shamima Nasrin +2
COVID-19 is currently one the most life-threatening problems around the world. The fast and accurate detection of the COVID-19 infection is essential to identify, take better decis…
High Speed Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons
Chris Yakopcic, Nayim Rahman, Tanvir Atahary +3
Cognitive agents are typically utilized in autonomous systems for automated decision making. These systems interact at real time with their environment and are generally heavily po…
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1
In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +4
Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…