Attend

Organization

University of North Texas
Contributors
Kaushik Akula
Sampson Akwafuo
Mark Albert
Ranak Bansal
Sahar Behpour
Riyad Bin Rafiq
Sri Sravya Comerica
Benjamin Cramer
Jincheng Du
Shiva Ebrahimi
Xuan Guo
Jayani Kalahe
Xiaonan Lu
Stephanie Ludi
Stephanie Ludi
Aboubakar Mountapmbeme
Himan Namdari
Arunchalam Narayanan
Phillip Nelson
Obianuju Okafor
Riyad Bin Rafiq
Anna Sidorova
Thasina Tabashum
Namratha Urs
Shou-Jen Wang
Ting Xiao
Chengping Yuan
Presentations
Poster
Accessible Blockly as a Programming Platform for People with Visual Impairment
Poster
Automatic counting methods applied to unspecified repetitive physical activities
Panel
Technical Panels and Workshops
Best practices for validating machine learning in medicine
Technical
Poster
Comparative Analysis of Accessibility Testing Tools and their Limitations in RIAs
Poster
Compressing and Analyzing Large-Scale Networks
Doctoral Consortium
Computational Methods and Algorithms for Real-Time Routing of Emergency Response in Unreliable Settings
Poster
Deep Active Learning Toward Crisis-related Tweets Classification
Poster
Multi-agent Hierarchical Reinforcement Learning of Strategy and Tactics in Competitive Play
Poster
Towards an “Innate Learning” Efficient Coding Model using Spontaneous Neural Activity
Poster
Using Machine Learning to Improve Material Properties Prediction in Glass Production
Poster
Validation methods to promote real-world applicability of machine learning in medicine