RSS 1.0Faculty Publications-Computer Science
Browse by
Recent Submissions
-
Two Errors and Two Problems in a Recent Paper: gazeNet: End-to-End Eye-Movement Event Detection with Deep Neural Networks (Zemblys, Niehorster, and Holmqvist, 2019)
(2019-09-12)Zemblys et al. [1] reported on a method for the classification of eye-movements ("gazeNet"). I have found 2 errors and two problems with that paper that are explained herein. Error 1: The gazeNet classification method ... -
Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors
(IEEE Computer Society, 2019-08-27)Photosensor oculography (PS-OG) eye movement sensors offer desirable performance characteristics for integration within wireless head mounted devices (HMDs), including low power consumption and high sampling ... -
Movement Vigor as a Traitlike Attribute of Individuality.
(American Physiological Society, 2018-08)A common aspect of individuality is our subjective preferences in evaluation of reward and effort. The neural circuits that evaluate these commodities influence circuits that control our movements, raising the possibility ... -
Applications of Bayesian Network Models in Predicting Types of Hematological Malignancies
(Nature Publishing Group, 2018-05)Network analysis is the preferred approach for the detection of subtle but coordinated changes in expression of an interacting and related set of genes. We introduce a novel method based on the analyses of coexpression ... -
Pathogenic tau-induced piRNA Depletion Promotes Neuronal Death through Transposable Element Dysregulation in Neurodegenerative Tauopathies
(Nature Publishing Group, 2018-08)Transposable elements, known colloquially as 'jumping genes', constitute approximately 45% of the human genome. Cells utilize epigenetic defenses to limit transposable element jumping, including formation of silencing ... -
SmartFall: A Smartwatch-Based Fall Detection System Using Deep Learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-10-09)This paper presents SmartFall, an Android app that uses accelerometer data collected from a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The smartwatch is paired with a smartphone that runs ... -
Developing a Modular Unmanned Aerial Vehicle (UAV) Platform for Air Pollution Profiling
(Multidisciplinary Digital Publishing Institute (MDPI), 2018-12-10)The unmanned aerial vehicle (UAV) offers great potential for collecting air quality data with high spatial and temporal resolutions. The objective of this study is to design and develop a modular UAV-based platform capable ... -
Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of Melanoma
(Public Library of Science, 2017-01-23)Because the prognosis of melanoma is challenging and inaccurate when using current clinical approaches, clinicians are seeking more accurate molecular markers to improve risk models. Accordingly, we performed a survival ... -
Power-efficient and Shift-robust Eye-tracking Sensor for Portable VR Headsets
(Association for Computing Machinery (ACM), 2019-06)This repository contains both the complete data sets and supporting code base from the paper entitled "Power-efficient and shift-robust eye-tracking sensor for portable VR headsets," which as been accepted in the Proceedings ... -
A Novel Evaluation of Two Related, and Two Independent Algorithms for Eye Movement Classification during Reading
(2018)This repository contains classified eye-movement data from the submitted paper, "Novel Evaluation of Two Related, and Two Independent Algorithms for Eye Movement Classification during Reading" Lee Friedman, Ioannis Rigas, ... -
Feature Extraction Code and Data
(2017)This is software and data for the extraction of features from eye movement events (fixations, saccades, and post-saccadic oscillations). The material accompanies the manuscript: "Study of an Extensive Set of Eye Movement ... -
Eye Movement Classification Code - MNH Method for Classification of Fixations, Saccades, and Post-saccadic Oscillations during Reading
(2017-10-11)Link to final published paper, https://rdcu.be/OoNK -
Letting Users Choose Recommender Algorithms: An Experimental Study
(Association for Computing Machinery, 2015-09-16)Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases. As one way of taking advantage of the ... -
User Perception of Differences in Recommender Algorithms
(Association for Computing Machinery, 2014-10)Recent developments in user evaluation of recommender systems have brought forth powerful new tools for understanding what makes recommendations effective and useful. We apply these methods to understand how users evaluate ... -
Automatic Text Summarization with Neural Networks
(2004-06-22)A novel technique for summarizing news articles using neural networks is presented. A neural network is trained to learn the relevant features cf sentences that should be included in the summary of the article. The neural ... -
Computer Generated Holograms for Optical Neural Networks
(Kluwer Academic Publishers, 2001-03)While numerous artificial neural network (ANN) models have been electronically implemented and simulated by conventional computers, optical technology provides a far superior mechanism for the implementation of large-scale ... -
Variable Hidden Layer Sizing in Elman Recurrent Neuro-Evolution
(Kluwer Academic Publishers, 2000-05)The relationship between the size of the hidden layer in a neural network and performance in a particular domain is currently an open research issue. Often, the number of neurons in the hidden layer is chosen empirically ... -
Discovering Trends in Large Datasets Using Neural Networks
(Springer, 2006-02-01)A novel knowledge discovery technique using neural networks is presented. A neural network is trained to learn the correlations and relationships that exist in a dataset. The neural network is then pruned and modified to ... -
Automated Natural Language Evaluators - (ANLE)
(1993-12)By the turn of the century, it is expected that most computer applications will include a natural language processing component. Both developers and consumers of NLP systems have expressed a genuine need for standard natural ... -
Knowledge Discovery Using Neural Networks
(2004-05)A novel knowledge discovery technique using neural networks is presented. A neural network is trained to learn the correlations and relationships that exist in a dataset. The neural network is then pruned and modified to ...
