Blending Machine Learning and Interaction Design in Audio Explorer.

The results of machine learning models can often be difficult to interpret, especially for domain experts. Audio Explorer, the winning entry of the 2018 VAST Challenge, is an interactive data exploration tool that effectively communicates machine learning results using coordinated geospatial, temporal, and auditory visualizations to promote information discovery.

Toward Theoretical Techniques for Measuring the Use of Human Effort in Visual Analytic Systems.

Visual analytic systems have long relied on user studies and standard datasets to demonstrate advances to the state of the art, as well as to illustrate the efficiency of solutions to domain-specific challenges. This approach has enabled some important comparisons between systems, but unfortunately the narrow scope required to facilitate these comparisons has prevented many of these lessons from being generalized to new areas. At the same time, advanced visual analytic systems have made increasing use of human-machine collaboration to solve problems not tractable by machine computation alone.

Exclusive use of acid citrate dextrose for anticoagulation during extracorporeal photopheresis in patients with contraindications to heparin: an effective protocol.

Extracorporeal photopheresis (ECP) routinely uses heparin for anticoagulation. For patients with contraindications to heparin, alternative anticoagulation using acid citrate dextrose (ACD-A) has been reported to be safe and effective. However, detailed ECP protocols that exclusively use ACD-A anticoagulation and minimize citrate toxicity have not yet been published.