Truth from the machine: artificial intelligence and the materialization of identity

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk

(2019) Jian Zhou et al.   NATURE GENETICS

Learned protein embeddings for machine learning

(2018) Kevin K Yang et al.   BIOINFORMATICS

Algorithmic psychometrics and the scalable subject

(2018) Luke Stark   SOCIAL STUDIES OF SCIENCE

Machine learning phases of matter

(2017) Juan Carrasquilla et al.   Nature Physics

Machine Learning With Big Data: Challenges and Approaches

(2017) Alexandra L'Heureux et al.   IEEE Access

The Deluge of Spurious Correlations in Big Data

(2016) Cristian S. Calude et al.   Foundations of Science

A Gesture Recognition System for Detecting Behavioral Patterns of ADHD

(2016) Miguel Angel Bautista et al.   IEEE Transactions on Cybernetics

Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

(2016) Pegah Kassraian-Fard et al.   Frontiers in Psychiatry

‘For men arousal is orientation’: Bodily truthing, technosexual scripts, and the materialization of sexualities through the phallometric test

(2015) Tom Waidzunas et al.   SOCIAL STUDIES OF SCIENCE

Constructing a social subject

(2014) Gregory Hollin   HISTORY OF THE HUMAN SCIENCES

Learning Race from Face: A Survey

(2014) Siyao Fu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Inter-regional cortical thickness correlations are associated with autistic symptoms: A machine-learning approach

(2012) João Ricardo Sato et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Autism biomarkers for more efficacious diagnosis

(2011) Christine Ecker   Biomarkers in Medicine

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

(2010) Rafael A Calvo et al.   IEEE Transactions on Affective Computing

SOCIAL SCIENCE: Computational Social Science

(2009) D. Lazer et al.   SCIENCE