Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models
暂无分享,去创建一个
[1] J. Hsiao,et al. Differential audiovisual information processing in emotion recognition: An eye-tracking study. , 2022, Emotion.
[2] J. Hsiao,et al. Explicit and implicit mentalization of patients with first-episode schizophrenia: a study of self-referential gaze perception with eye movement analysis using hidden Markov models , 2022, European Archives of Psychiatry and Clinical Neuroscience.
[3] S. Yeh,et al. When Eyes Wander Around: Mind-Wandering as Revealed by Eye Movement Analysis with Hidden Markov Models , 2021, Sensors.
[4] J. Hsiao,et al. Does adding video and subtitles to an audio lesson facilitate its comprehension? , 2021, Learning and Instruction.
[5] Antoni B. Chan,et al. The effects of attentional and interpretation biases on later pain outcomes among younger and older adults: A prospective study , 2021, European journal of pain.
[6] Antoni B. Chan,et al. Understanding the collinear masking effect in visual search through eye tracking , 2021, Psychonomic Bulletin & Review.
[7] Antoni B. Chan,et al. Eye movement analysis with hidden Markov models (EMHMM) with co-clustering , 2021, Behavior Research Methods.
[8] Antoni B. Chan,et al. Do portrait artists have enhanced face processing abilities? Evidence from hidden Markov modeling of eye movements , 2021, Cognition.
[9] Antoni B. Chan,et al. Applying the Hidden Markov Model to Analyze Urban Mobility Patterns: An Interdisciplinary Approach , 2021, Chinese Geographical Science.
[10] Mei Wang,et al. Deep Face Recognition: A Survey , 2018, Neurocomputing.
[11] Naoyuki Kubota,et al. Attention mechanism-based CNN for facial expression recognition , 2020, Neurocomputing.
[12] Antoni B. Chan,et al. The interrelation between interpretation biases, threat expectancies and pain‐related attentional processing , 2020, European journal of pain.
[13] Antoni B. Chan,et al. Understanding visual attention to face emotions in social anxiety using hidden Markov models , 2020, Cognition & emotion.
[14] Antoni B. Chan,et al. Interpretation biases and visual attention in the processing of ambiguous information in chronic pain , 2020, European journal of pain.
[15] J. Hsiao,et al. Modulation of mood on eye movement and face recognition performance. , 2020, Emotion.
[16] H. Ling,et al. Attention-based convolutional neural network for deep face recognition , 2019, Multimedia Tools and Applications.
[17] Tim Chuk,et al. Eye movement analysis with switching hidden Markov models , 2019, Behavior Research Methods.
[18] David B. Leake,et al. CBR Confidence as a Basis for Confidence in Black Box Systems , 2019, ICCBR.
[19] Mark T. Keane,et al. How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems , 2019, ICCBR.
[20] Katarzyna Chawarska,et al. The role of limited salience of speech in selective attention to faces in toddlers with autism spectrum disorders. , 2019, Journal of child psychology and psychiatry, and allied disciplines.
[21] Connor J. Parde,et al. Deep convolutional neural networks in the face of caricature , 2018, Nature Machine Intelligence.
[22] Antoni B. Chan,et al. Individuals with insomnia misrecognize angry faces as fearful faces while missing the eyes: an eye-tracking study , 2018, Sleep.
[23] S. Kesavan. Measure , 2019, Texts and Readings in Mathematics.
[24] W. Sommer,et al. Configural face perception in childhood and adolescence: An individual differences approach. , 2018, Acta psychologica.
[25] Tommi S. Jaakkola,et al. Towards Robust Interpretability with Self-Explaining Neural Networks , 2018, NeurIPS.
[26] William J. Clancey,et al. Explaining Explanation, Part 4: A Deep Dive on Deep Nets , 2018, IEEE Intelligent Systems.
[27] A. Klin. Biomarkers in Autism Spectrum Disorder: Challenges, Advances, and the Need for Biomarkers of Relevance to Public Health. , 2018, Focus.
[28] Antoni B. Chan,et al. Eye-movement patterns in face recognition are associated with cognitive decline in older adults , 2018, Psychonomic bulletin & review.
[29] Tim Chuk,et al. Hidden Markov model analysis reveals the advantage of analytic eye movement patterns in face recognition across cultures , 2017, Cognition.
[30] J. Wilmer. Individual Differences in Face Recognition: A Decade of Discovery , 2017 .
[31] Tim Chuk,et al. Is having similar eye movement patterns during face learning and recognition beneficial for recognition performance? Evidence from hidden Markov modeling , 2017, Vision Research.
[32] Jianfei Cai,et al. Enriched Deep Recurrent Visual Attention Model for Multiple Object Recognition , 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[33] Ben Poole,et al. Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.
[34] Zhen Li,et al. Towards Better Analysis of Deep Convolutional Neural Networks , 2016, IEEE Transactions on Visualization and Computer Graphics.
[35] Howard Riley,et al. Are Portrait Artists Superior Face Recognizers? Limited Impact of Adult Experience on Face Recognition Ability , 2017, Journal of experimental psychology. Human perception and performance.
[36] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[37] Garrison W. Cottrell,et al. Humans have idiosyncratic and task-specific scanpaths for judging faces , 2015, Vision Research.
[38] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[39] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[40] Tim Chuk,et al. Understanding eye movements in face recognition using hidden Markov models. , 2014, Journal of vision.
[41] D. Ballard,et al. Modeling Task Control of Eye Movements , 2014, Current Biology.
[42] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[43] Ha Hong,et al. Performance-optimized hierarchical models predict neural responses in higher visual cortex , 2014, Proceedings of the National Academy of Sciences.
[44] Antoni B. Chan,et al. Clustering hidden Markov models with variational HEM , 2012, J. Mach. Learn. Res..
[45] F. Shic,et al. Decreased Spontaneous Attention to Social Scenes in 6-Month-Old Infants Later Diagnosed with Autism Spectrum Disorders , 2013, Biological Psychiatry.
[46] Matthew F. Peterson,et al. Individual Differences in Eye Movements During Face Identification Reflect Observer-Specific Optimal Points of Fixation , 2013, Psychological science.
[47] Reinhold Kliegl,et al. The generation of secondary saccades without postsaccadic visual feedback. , 2013, Journal of vision.
[48] Shigeru Kitazawa,et al. How Children With Specific Language Impairment View Social Situations: An Eye Tracking Study , 2012, Pediatrics.
[49] Jon Brock,et al. Visual Scan Paths and Recognition of Facial Identity in Autism Spectrum Disorder and Typical Development , 2012, PloS one.
[50] R. Schultz,et al. The social motivation theory of autism , 2012, Trends in Cognitive Sciences.
[51] B. Scassellati,et al. Limited activity monitoring in toddlers with autism spectrum disorder , 2011, Brain Research.
[52] Nobumasa Kato,et al. Atypical gaze patterns in children and adults with autism spectrum disorders dissociated from developmental changes in gaze behaviour , 2010, Proceedings of the Royal Society B: Biological Sciences.
[53] S. Jaeggi,et al. The concurrent validity of the N-back task as a working memory measure , 2010, Memory.
[54] Viola Macchi Cassia,et al. Holistic processing for faces and cars in preschool-aged children and adults: evidence from the composite effect. , 2009, Developmental science.
[55] Janet Hui-wen Hsiao,et al. NIMBLE: a kernel density model of saccade-based visual memory. , 2008, Journal of vision.
[56] G. Cottrell,et al. Two Fixations Suffice in Face Recognition , 2008, Psychological science.
[57] Peter J. B. Hancock,et al. Viewing it differently: Social scene perception in Williams syndrome and Autism , 2008, Neuropsychologia.
[58] S. Baron-Cohen,et al. The Autism Spectrum Quotient: Children’s Version (AQ-Child) , 2008, Journal of autism and developmental disorders.
[59] Benjamin W Tatler,et al. The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions. , 2007, Journal of vision.
[60] J. H. Steiger,et al. Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. , 2004, Psychological methods.
[61] Frédéric Gosselin,et al. Spatio-temporal dynamics of face recognition in a flash: it's in the eyes , 2004, Cogn. Sci..
[62] F. Volkmar,et al. Visual fixation patterns during viewing of naturalistic social situations as predictors of social competence in individuals with autism. , 2002, Archives of general psychiatry.
[63] I. Craw,et al. Effects of high-pass and low-pass spatial filtering on face identification , 1996, Perception & psychophysics.
[64] J. O'Regan,et al. Some results on translation invariance in the human visual system. , 1990, Spatial vision.
[65] M. Kerslake. Across cultures. , 1988, The New Zealand nursing journal. Kai tiaki.
[66] C. Eriksen,et al. Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .
[67] J. Raven,et al. Manual for Raven's progressive matrices and vocabulary scales , 1962 .
[68] R. Reitan. Validity of the Trail Making Test as an Indicator of Organic Brain Damage , 1958 .