D
Dennis P. Wall
Researcher at Stanford University
Publications - 187
Citations - 8592
Dennis P. Wall is an academic researcher from Stanford University. The author has contributed to research in topics: Autism & Autism spectrum disorder. The author has an hindex of 43, co-authored 158 publications receiving 6789 citations. Previous affiliations of Dennis P. Wall include Harvard University & Beth Israel Deaconess Medical Center.
Papers
More filters
Posted Content
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
Peter Washington,Haik Kalantarian,Jack Kent,Arman Husic,Aaron Kline,Emilie Leblanc,Cathy Hou,Cezmi Mutlu,Kaitlyn Dunlap,Yordan Penev,Maya Varma,Nate Tyler Stockham,Brianna Chrisman,Kelley Paskov,Min Woo Sun,Jae-Yoon Jung,Catalin Voss,Nick Haber,Dennis P. Wall +18 more
TL;DR: This work validates that mobile games designed for pediatric therapies can generate high volumes of domain-relevant datasets to train state of the art classifiers to perform tasks highly relevant to precision health efforts.
Journal ArticleDOI
Phylogeny of the Calymperaceae with a rank-free systematic treatment
TL;DR: The total-evidence cladistic analysis supports the monophyly of Calymperes and Mitthyridium, as well as the “leucobryoid” Calymperaceae, and confirms that Syrrhopodon (s.l.) is polyphyletic.
Posted ContentDOI
Leveraging video data from a digital smartphone autism therapy to train an emotion detection classifier
TL;DR: In this paper, a new emotion classifier designed specifically for pediatric populations, trained with images crowdsourced from an educational mobile charades-style game: Guess What?, was proposed.
Journal ArticleDOI
Testing the accuracy of eukaryotic phylogenetic profiles for prediction of biological function.
Saurav Singh,Dennis P. Wall +1 more
TL;DR: A straightforward approach is developed to address the question of how the size and content of the phylogenetic profile impacts the ability to predict function in Eukaryotes by constructing a complete set of phylogenetic profiles for 31 fully sequenced EUKaryotes.
Journal ArticleDOI
Streaming Support for Data Intensive Cloud-Based Sequence Analysis
Shadi Alaa Issa,Romeo Kienzler,Mohamed El-Kalioby,Peter J. Tonellato,Dennis P. Wall,Rémy Bruggmann,Mohamed Abouelhoda +6 more
TL;DR: This paper provides a streaming-based scheme to overcome the effect of data transfer latency and saves both time and cost of computation for wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another.