SDSC ‘20 Research Track
Accepted Papers
Curiosity in Recommender Systems
Fakhri Abbas and Xi Niu
Improving the Early Detection of Rare Craniofacial Genetic Disorders Through Convolutional Neural Networks and Machine Learning using Facial Images
Ameya Jadhav
Incorporating Content Beyond Text: A High Reliable Twitter-Based Disaster Information System
Qixuan Hou and Meng Han
Downstream Analysis Effects of Normalization Strategies and Development of Quantitatively Motivated Pre-Processing Framework for Predictive Models
Jessica Rudd
Machine Learning for Autonomous Benthic Macroinvertebrate Identification
Molly Landon, Teresa Mathews, Natalie Griffiths and Ryan McManamay
Identifying Factors That Influence User-Sentiment On Smart Watches Using Text Mining
Varun Bhatia
Hyperspectral Data Pre-processing for Plant Stress, Genotype DetectionASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis
Sarah Mathew, Philip Bingham, Deniz Aykac and Mindy Clark
A Chatbot-based Mobile Application to Predict and Early-prevent Human Mental Illness
Ava Podrazhansky and Hao Zhang
A Time-To-Event Predictive Model to Identify, Understand, and Strategically Retain Policyholders
Cheng Cheng, Lingtong Guo, Wenjun Wei, Ruoyun Yang and Matthew Lanham
Non-Intrusive Identification of Student Attentiveness and Finding Their Correlation with Facial Expression
Tasnia Tabassum and Andrew Allen
Novel Scoring with Confusion Matrices for Satellite Image Captioning
David Noever, Wes Regian, Matt Ciolino, Josh Kalin and Dom Hambrick
Data Augmentation of Biased Datasets with StyleGAN
Heather Huynh, Sushmita Azad, Jiaqi Wu and Jeetu Raj
Analyzing and Comparing Semantic Dimensions of Dependency-Based Word Embeddings: A Case Study with Gab.ai Embeddings
Zhuo Cheng and Samira Shaikh
Spatiotemporal Modeling of Subcellular Morphologies as Social Network Graphs
Marcus Hill, Mojtaba Fazli, Rachel Mattson, Andrew Durden, Frederick Quinn, Chakra Chennubhotla and Shannon Quinn
Comparison of Deep Learning Methods for Time Series Analysis
Arindam Mukerjee and Goutam Chakraborty
Understanding Neuronal Bioenergetics: 3D Reconstruction of Mitochondria with Machine Learning
Priya Khandelwal, Priya Khandelwal and Priya Khandelwal
Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline
Meekail Zain, Quinn Wyner, Nathan Safir, Alex Eldridge, Sonia Rao, Bella Humphrey and Shannon Quinn
Bias and Variance of Logistic Regression Models on the Imbalanced Data
Lili Zhang and Herman Ray
Expressive Multimodal Integrated Learning (EMIL): A New Dataset for Multi-Sense Integration and Training
David Noever and Samantha Noever
Analyzing Event-Specific Language Use on Gab: A Charlottesville case study
Khyati Mahajan and Samira Shaikh
Fine-grained Aspect Sentiment Analysis to Capture Customer Insight: A Flight Review Practical Study
Bing Han, Lingyun Yang, Meng Han and Jing He
Automatic Incident Detection Recast as Anomaly Detection – an Approach Utilizing Random Forest Models
Nicholas Klepp