215 citations · 298 across the 10 of their papers we have counts for
10 papers
LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies
Sujay Uday Rittikar, Sheela Ramanna
Faithfulness is a central concern in legal text summarization, which motivates extractive approaches that select verbatim content traceable to its source. Such methods typically ra…
Using Machine Learning to Improve Neutron Identification in Water Cherenkov Detectors
Blair Jamieson, Matt Stubbs, Sheela Ramanna +5
Water Cherenkov detectors like Super-Kamiokande, and the next generation Hyper-Kamiokande are adding gadolinium to their water to improve the detection of neutrons. By detecting ne…
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window
Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna
Recently, the EAGL-I system was developed to rapidly create massive labeled datasets of plants intended to be commonly used by farmers and researchers to create AI-driven solutions…
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data
Sheela Ramanna, Danila Morozovskii, Sam Swanson +1
The tools and technology that are currently used to analyze chemical compound structures that identify polymer types in microplastics are not well-calibrated for environmentally we…
Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions
Anil Rahate, Rahee Walambe, Sheela Ramanna +1
Multimodal deep learning systems which employ multiple modalities like text, image, audio, video, etc., are showing better performance in comparison with individual modalities (i.e…
Polynomial degree reduction in the -norm on a symmetric interval for the canonical basis
Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna
In this paper, we develop a direct formula for determining the coefficients in the canonical basis of the best polynomial of degree that approximates a polynomial of degree $N>…
Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography
Oumaima Hamila, Sheela Ramanna, Christopher J. Henry +4
Cardiac imaging known as echocardiography is a non-invasive tool utilized to produce data including images and videos, which cardiologists use to diagnose cardiac abnormalities in…
1-Dimensional polynomial neural networks for audio signal related problems
Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna
In addition to being extremely non-linear, modern problems require millions if not billions of parameters to solve or at least to get a good approximation of the solution, and neur…
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks
Sheela Ramanna, Cenker Sengoz, Scott Kehler +1
Weather is an important factor affecting transportation and road safety. In this paper, we leverage state-of-the-art convolutional neural networks in labelling images taken by stre…
Descriptive Proximities I: Properties and interplay between classical proximities and overlap
A. Di Concilio, C. Guadagni, J. F. Peters +1
The theory of descriptive nearness is usually adopted when dealing with sets that share some common properties even when the sets are not spatially close, i.e., the sets have no me…