June 2019 – Frost Institute for Data Science & Computing

Categorical Timeline Allocation and Alignment for Diagnostic Head Movement…

Atypical head movement pattern characterization is a potentially important cue for identifying children with autism spectrum disorder. In this paper, we implemented a computational framework for extracting the temporal patterns of head movement and utilizing the imbalance of temporal pattern distribution between diagnostic categories (e.g., children with or without autism spectrum disorder) as potential diagnostic cues. Read more “Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis” →

Publications

Far-Field Modeling of a Deep-Sea Blowout; Sensitivity Studies of…

Modeling of large-scale oil transport and fate resulting from deep-sea oil spills is highly complex due to a number of bio-chemo-geophysical interactions, which are often empirically based. Predicting mass-conserved total petroleum hydrocarbon concentrations is thus still a challenge for most oil spill models. Read more “Far-Field Modeling of a Deep-Sea Blowout; Sensitivity Studies of Initial Conditions . . .” →

Events

Data Intersections: Conversations on Ethics 2/13/2020

Data Intersections is an annual symposium featuring speakers from the fields of data science, statistics, data journalism, and the digital humanities. The 2020 session theme is “Conversations About the Ethics of Data, Technology, and Design”.

News

Data Mining & SSI Present Paper at CVPR

Mitsunori Ogihara (Director) and Gang Ren (Postdoctoral Associate) of Big Data Analytics and Data Mining program, and Daniel Messinger, Program Director of Social Systems Informatics, presented an interdisciplinary paper (TITLE: “Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis”) together at the workshop on Face and Gesture Analysis for Health Informatics (FGAHI) at CVPR 2019 (Computer Vision and Pattern Recognition, part of IEEE CVF) 2019, on June 16-21, 2019 in Long Beach, California. Read more “Data Mining & SSI Present Paper at CVPR” →

Publications

FAIRshake: Toolkit to Evaluate the Findability, Accessibility, Interoperability, and…

As more datasets, tools, workflows, APIs, and other digital resources are produced by the research community, it is becoming increasingly difficult to harmonize and organize these efforts for maximal synergistic integrated utilization. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have prompted many stakeholders to consider strategies for tackling this challenge by making these digital resources follow common standards and best practices so that they can become more integrated and organized. Read more “FAIRshake: Toolkit to Evaluate the Findability, Accessibility, Interoperability, and Reusability of Research Digital Resources” →

pan>June 2019

Categorical Timeline Allocation and Alignment for Diagnostic Head Movement…

Far-Field Modeling of a Deep-Sea Blowout; Sensitivity Studies of…

Data Intersections: Conversations on Ethics 2/13/2020

Data Mining & SSI Present Paper at CVPR

FAIRshake: Toolkit to Evaluate the Findability, Accessibility, Interoperability, and…