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Found 6 papers, 0 papers with code
idMotif: An Interactive Motif Identification in Protein Sequences
This article introduces idMotif, a visual analytics framework designed to aid domain experts in the identification of motifs within protein sequences.
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Since model bias and associated initialization shock are serious shortcomings that reduce prediction skills in state-of-the-art decadal climate prediction efforts, we pursue a complementary machine-learning-based approach to climate prediction.
Feature Importance in a Deep Learning Climate Emulator
From the perspective of climate dynamics, these findings suggest a dominant role for local processes and a negligible role for remote teleconnections at the spatial and temporal scales we consider.
C2A: Crowd Consensus Analytics for Virtual Colonoscopy
In particular, C$^2$A is used to analyze and explore crowd responses on video segments, created from fly-throughs in the virtual colon.
Crowdsourcing Lung Nodules Detection and Annotation
More specifically, a complete workflow is introduced which can help maximize the sensitivity of lung nodule detection by utilizing the collective intelligence of the crowd.
Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos
Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer.
