Dennis P. Wall
Orcid: 0000-0002-7889-9146
According to our database1,
Dennis P. Wall
authored at least 66 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
CoRR, 2024
2023
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.
npj Digit. Medicine, 2022
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies.
CoRR, 2022
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images.
CoRR, 2022
Proceedings of the Network Science - 7th International Winter Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
CoRR, 2021
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels.
CoRR, 2021
Cogn. Comput., 2021
Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers.
BMC Bioinform., 2021
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism.
BioData Min., 2021
A Mobile Game Platform for Improving Social Communication in Children with Autism: A Feasibility Study.
Appl. Clin. Inform., 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders.
CoRR, 2020
Game theoretic centrality: a novel approach to prioritize disease candidate genes by combining biological networks with the Shapley value.
BMC Bioinform., 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
Artif. Intell. Medicine, 2019
Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
2018
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism.
npj Digit. Medicine, 2018
Machine learning approach for early detection of autism by combining questionnaire and home video screening.
J. Am. Medical Informatics Assoc., 2018
Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism.
Appl. Clin. Inform., 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018
Analysis of Sex and Recurrence Ratios in Simplex and Multiplex Autism Spectrum Disorder Implicates Sex-Specific Alleles as Inheritance Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
MC-GenomeKey: a multicloud system for the detection and annotation of genomic variants.
BMC Bioinform., 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Machine learning for early detection of autism (and other conditions) using a parental questionnaire and home video screening.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Automated integration of continuous glucose monitor data in the electronic health record using consumer technology.
J. Am. Medical Informatics Assoc., 2016
The Quantified Brain: A Framework for Mobile Device-Based Assessment of Behavior and Neurological Function.
Appl. Clin. Inform., 2016
A practical approach to real-time neutral feature subtraction for facial expression recognition.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
Proceedings of the 2016 AAAI Spring Symposia, 2016
2015
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
Translational Meta-analytical Methods to Localize the Regulatory Patterns of Neurological Disorders in the Human Brain.
Proceedings of the AMIA 2015, 2015
2014
J. Am. Medical Informatics Assoc., 2014
2012
Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package.
BMC Bioinform., 2012
2011
The semantic organization of the animal category: evidence from semantic verbal fluency and network theory.
Cogn. Process., 2011
Phylogenetically informed logic relationships improve detection of biological network organization.
BMC Bioinform., 2011
Bioinform., 2011
2010
2009
Collaborative text-annotation resource for disease-centered relation extraction from biomedical text.
J. Biomed. Informatics, 2009
2006
Bioinform., 2006
2003