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Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders

Huseyin Melih Elibol, Vincent Nguyen, Scott W. Linderman, Matthew J. Johnson, Amna Hashmi, Finale Doshi-Velez
2016 Journal of machine learning research  
Patients with developmental disorders, such as autism spectrum disorder (ASD), present with symptoms that change with time even if the named diagnosis remains fixed.  ...  In this work, we present a fully unsupervised approach for learning disease trajectories from incomplete medical records and social media posts, including cases in which we have only a single observation  ...  Joy Ming, Sam Wiseman, and Andy Miller's work on understanding autism forum data was directly valuable for in our pre-processing pipeline.  ... 
dblp:journals/jmlr/ElibolNLJHD16 fatcat:ee6yjwqml5e3xf24q37pxblhjq

SAYCam: A Large, Longitudinal Audiovisual Dataset Recorded From the Infant's Perspective

Jessica Sullivan, Michelle Mei, Andrew Perfors, Erica Wojcik, Michael C. Frank
2021 Open Mind  
Similarly, the dataset is searchable using a number of criteria (e.g., age of participant, location, setting, objects present).  ...  The result is a large, naturalistic, longitudinal dataset of infant- and child-perspective videos. Over 200,000 words of naturalistic speech have already been transcribed.  ...  Sam was diagnosed with autism spectrum disorder at age 3; as of this writing (at age 7), Sam is fully mainstreamed, has friends, and does not require any special support.  ... 
doi:10.1162/opmi_a_00039 pmid:34485795 pmcid:PMC8412186 fatcat:jd75qvfwlrajvgczehfktd77yi

Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions [article]

Florian Becker, Age K. Smilde, Evrim Acar
2022 arXiv   pre-print
Computational phenotyping allows for unsupervised discovery of subgroups of patients as well as corresponding co-occurring medical conditions from electronic health records (EHR).  ...  In this paper, we provide a comprehensive review of low-rank approximation-based approaches for computational phenotyping.  ...  et al., 2015) to autism disorder (Georgiades et al., 2007) as well as sleep apnoe (Vavougios et al., 2016) .  ... 
arXiv:2209.00322v1 fatcat:xqziwv3ifjeo7njle5xo4zfocy

Infant Statistical Learning

Jenny R. Saffran, Natasha Z. Kirkham
2018 Annual Review of Psychology  
problems, such as multilingualism, the role of ever-changing learning environments, and differential developmental trajectories.  ...  In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem.  ...  Acknowledgments Preparation of this manuscript was supported by a grant from the National Institute of Child Health and Human Development (R37HD037466) to J.R.S. and by a Nuffield Foundation Grant (PSA68  ... 
doi:10.1146/annurev-psych-122216-011805 pmid:28793812 pmcid:PMC5754249 fatcat:n4y7cojav5ht7gub57zeksfhdq

Conducting Clinical Research Using Crowdsourced Convenience Samples

Jesse Chandler, Danielle Shapiro
2016 Annual Review of Clinical Psychology  
MTurk has been used in this capacity for more than five years.  ...  The popularity and novelty of the platform have spurred numerous methodological investigations, making it the most studied nonprobability sample available to researchers.  ...  regulation, and autism spectrum disorder (ASD) features.  ... 
doi:10.1146/annurev-clinpsy-021815-093623 pmid:26772208 fatcat:stjwl2mgrfda7j3hqqoxhsyesu

Opportunities and obstacles for deep learning in biology and medicine

Travers Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul-Michael Agapow, Michael Zietz, Michael M. Hoffman, Wei Xie, Gail L. Rosen (+24 others)
2018 Journal of the Royal Society Interface  
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features.  ...  Following from an extensive literature review, we find that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances  ...  We thank Aaron Sheldon, who contributed text but did not formally approve the manuscript; Anna Greene for a careful proofreading of the manuscript in advance of the first submission; Sebastian Raschka  ... 
doi:10.1098/rsif.2017.0387 pmid:29618526 pmcid:PMC5938574 fatcat:65o4xmp53nc6zmj37srzuht6tq

16th Sound and Music Computing Conference SMC 2019 (28–31 May 2019, Malaga, Spain)

Lorenzo J. Tardón, Isabel Barbancho, Ana M. Barbancho, Alberto Peinado, Stefania Serafin, Federico Avanzini
2019 Applied Sciences  
The SMC 2019 TOPICS OF INTEREST included a wide selection of topics related to acoustics, psychoacoustics, music, technology for music, audio analysis, musicology, sonification, music games, machine learning  ...  The First International Day of Women in Inclusive Engineering, Sound and Music Computing Research (WiSMC 2019) took place on 28 May 2019.  ...  Acknowledgments: The 16th Sound and Music Computing Conference (SMC 2019) was made possible thanks to the hard work of many people including the authors, the reviewers, all the members of the Conference  ... 
doi:10.3390/app9122492 fatcat:tcacoupffjewnpjhpw4oy7x6h4

Beyond Social Media Analytics: Understanding Human Behaviour and Deep Emotion using Self Structuring Incremental Machine Learning [article]

Tharindu Bandaragoda
2020 arXiv   pre-print
Secondly for the slow-paced social data, a suite of new machine learning and natural language processing techniques were developed to automatically capture self-disclosed information of the individuals  ...  Identified events were validated against contemporary events reported in news.  ...  As discussed in Section 2.6, unsupervised incremental learning is a challenging task.  ... 
arXiv:2009.09078v1 fatcat:izo3eyjc4vdo3jnttt7omvsv5q

Program

2021 2021 National Conference on Communications (NCC)  
In the final section, advanced concepts related to the use of modern machine learning and deep learning algorithms on automotive radar data for varied applications such as pedestrian detection, object  ...  He is interested broadly in the theory of signal processing and machine learning; particularly in sampling, Fourier analysis and graph signal processing.  ...  Examples will be drawn from health and wellbeing realms such as Autism Spectrum Disorder, Couple therapy, Depression, Suicidality, Addiction counseling and work place behavior.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

D2.4 Profiling Analytics and Privacy Methodological Foundations Release I

Suite5, Frankfurt University, UBITECH, NTUA
2018 Zenodo  
The results reported in the previous three deliverables of WP2 (D2.1, D2.2 and D2.3) will be aggregated in one deliverable, which will be independently assessed by the Ethics Advisory Board of ChildRescue  ...  foster care drug use N/A other, Unaccompanied minor Specific personality characteristics/psychological disorders Personality/Social Profile No particular disorder Yes autism suicidal  ...  in the work process of the Danish Red Cross.  ... 
doi:10.5281/zenodo.2542731 fatcat:ecplhyb5hrapffb4amahnfr6ry

A Review of Speaker Diarization: Recent Advances with Deep Learning [article]

Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis, Kyu J. Han, Shinji Watanabe, Shrikanth Narayanan
2021 arXiv   pre-print
More recently, with the emergence of deep learning technology, which has driven revolutionary changes in research and practices across speech application domains, rapid advancements have been made for  ...  Furthermore, we discuss how speaker diarization systems have been integrated with speech recognition applications and how the recent surge of deep learning is leading the way of jointly modeling these  ...  as autism [232] .  ... 
arXiv:2101.09624v4 fatcat:kvjhbg5axnc2rhhmt4bridt23q

Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)

Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte, Rudolf Groner
2019 Journal of Eye Movement Research  
This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM": https://vimeo.com/user43478756.  ...  Both tasks involved three incentive levels indicated by an auditory cue before the start of each saccade.  ...  Reward was calculated as a fraction of the maximum depending on the performance (accuracy and speed).  ... 
doi:10.16910/jemr.12.7.1 pmid:33828763 pmcid:PMC7917478 fatcat:wqzwn552cndsnablyikzx3og5e

Expressive Modulation of Neutral Visual Speech

Felix Shaw, Barry-John Theobald
2016 IEEE Multimedia  
The technique and models were used in a therapeutic setting to treat children with Autism Spectrum Disorders (ASDs).  ...  The warping path is calculated at each step as: 6.8 Unsupervised Learning for Speech Motion φ(i, j) = d(S x , S y ) + min{M (i − 1, j − 1), M (i − 1, j), M (i, j − 1)} ( Editing The research described  ...  The data can be of different types and in this work, was in the form of 1080p video, 3D point cloud data and rig controller activation vectors.  ... 
doi:10.1109/mmul.2016.63 fatcat:fdxezi7vvnbidgodgdtlnu6aei

Functional Representation of Prototypes in LVQ and Relevance Learning [chapter]

Friedrich Melchert, Udo Seiffert, Michael Biehl
2016 Advances in Intelligent Systems and Computing  
In addition to the regular research presentations, posters and demonstrations, we were happy to include several other elements in the program of BNAIC 2016, among which keynote presentations by Marc Cavazza  ...  Held yearly, the objective of BNAIC is to promote and disseminate recent research developments in Artificial Intelligence within Belgium, Luxembourg and the Netherlands.  ...  Acknowledgments The research reported has been performed in the context of the project 'Designing and Understanding Forensic Bayesian Networks with Arguments and Scenarios', funded in the NWO Forensic  ... 
doi:10.1007/978-3-319-28518-4_28 fatcat:uwxvq6txmrba3ajulmblafgh2a

Program of the sixty-eighth annual convention of the American Psychological Association

1960 American Psychologist  
Autism in children. Tep Aytion, Saskatchewan Hospital. Chronic psy- chotic symptoms. Techniques (shaping of normal 423 B.  ...  Acting out disorders were much more numerous than depressive disorders. In addition, two disorders unique to the Navaho—“hand trem- bling sickness” and “moth sickness”—were investi- gated.  ... 
doi:10.1037/h0040832 fatcat:5a5c2v572jfz5aooa5tdmiuyfi
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