Log in

Relevant bibliographies by topics / Autism spectrum disorders autoencoder / Journal articles

To see the other types of publications on this topic, follow the link: Autism spectrum disorders autoencoder.

Journal articles on the topic 'Autism spectrum disorders autoencoder'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Autism spectrum disorders autoencoder.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Han, Wenhao, Wenzhu Shao, and Yaluo Wang. "Classifying autism spectrum disorder using machine learning through ABIDE dataset." Applied and Computational Engineering 2, no. 1 (2023): 809–22. http://dx.doi.org/10.54254/2755-2721/2/20220528.

Full text

Abstract:

A neurodevelopmental disorder named autism spectrum disorder (ASD) is challenging to diagnose. The prevailing diagnostic manner is based merely on the behavioral measure-ment with a high tendency of misdiagnosis. People require an advanced method to make more quantitative diagnosis. In this paper, two deep learning architectures were explored with the machine learning methods. The Mixup method was used to augment the original functional Magnetic Resonance Imaging data. Features of the data extracted by two dif-ferent kinds of autoencoders which are Sparse Autoencoder and Variational Autoencode

APA, Harvard, Vancouver, ISO, and other styles

2

Amirbay, Aizat, Ayagoz Mukhanova, Nurlan Baigabylov, et al. "Development of an algorithm for identifying the autism spectrum based on features using deep learning methods." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 5 (2024): 5513. http://dx.doi.org/10.11591/ijece.v14i5.pp5513-5523.

Full text

Abstract:

The presented scientific work describes the results of the development and evaluation of two deep learning algorithms: long short-term memory with a convolutional neural network (LSTM+CNN) and long short-term memory with an autoencoder (LSTM+AE), designed for the diagnosis of autism spectrum disorders. The study focuses on the use of eye tracking technology to collect data on participants' eye movements while interacting with animated objects. These data were saved in NumPy array format (.npy) for ease of later analysis. The algorithms were evaluated in terms of their accuracy, generalization

APA, Harvard, Vancouver, ISO, and other styles

3

Khan, Naseer Ahmed, Samer Abdulateef Waheeb, Atif Riaz, and Xuequn Shang. "A Three-Stage Teacher, Student Neural Networks and Sequential Feed Forward Selection-Based Feature Selection Approach for the Classification of Autism Spectrum Disorder." Brain Sciences 10, no. 10 (2020): 754. http://dx.doi.org/10.3390/brainsci10100754.

Full text

Abstract:

Autism disorder, generally known as Autism Spectrum Disorder (ASD) is a brain disorder characterized by lack of communication skills, social aloofness and repetitions in the actions in the patients, which is affecting millions of the people across the globe. Accurate identification of autistic patients is considered a challenging task in the domain of brain disorder science. To address this problem, we have proposed a three-stage feature selection approach for the classification of ASD on the preprocessed Autism Brain Imaging Data Exchange (ABIDE) rs-fMRI Dataset. In the first stage, a large n

APA, Harvard, Vancouver, ISO, and other styles

4

Lee, Jung Hyuk, Geon Woo Lee, Guiyoung Bong, Hee Jeong Yoo, and Hong Kook Kim. "End-to-End Model-Based Detection of Infants with Autism Spectrum Disorder Using a Pretrained Model." Sensors 23, no. 1 (2022): 202. http://dx.doi.org/10.3390/s23010202.

Full text

Abstract:

In this paper, we propose an end-to-end (E2E) neural network model to detect autism spectrum disorder (ASD) from children’s voices without explicitly extracting the deterministic features. In order to obtain the decisions for discriminating between the voices of children with ASD and those with typical development (TD), we combined two different feature-extraction models and a bidirectional long short-term memory (BLSTM)-based classifier to obtain the ASD/TD classification in the form of probability. We realized one of the feature extractors as the bottleneck feature from an autoencoder using

APA, Harvard, Vancouver, ISO, and other styles

5

Ma, Ruimin, Ruitao Xie, Yanlin Wang, et al. "Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder." Big Data Mining and Analytics 7, no. 3 (2024): 781–93. http://dx.doi.org/10.26599/bdma.2024.9020004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Sidulova, Mariia, and Chung Hyuk Park. "Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study." Bioengineering 10, no. 10 (2023): 1209. http://dx.doi.org/10.3390/bioengineering10101209.

Full text

Abstract:

Generative models, such as Variational Autoencoders (VAEs), are increasingly employed for atypical pattern detection in brain imaging. During training, these models learn to capture the underlying patterns within “normal” brain images and generate new samples from those patterns. Neurodivergent states can be observed by measuring the dissimilarity between the generated/reconstructed images and the input images. This paper leverages VAEs to conduct Functional Connectivity (FC) analysis from functional Magnetic Resonance Imaging (fMRI) scans of individuals with Autism Spectrum Disorder (ASD), ai

APA, Harvard, Vancouver, ISO, and other styles

7

Wang, Mingzhi, Zhiqiang Ma, Yongjie Wang, Jing Liu, and Jifeng Guo. "A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder." PLOS ONE 18, no. 12 (2023): e0295621. http://dx.doi.org/10.1371/journal.pone.0295621.

Full text

Abstract:

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition whose current psychiatric diagnostic process is subjective and behavior-based. In contrast, functional magnetic resonance imaging (fMRI) can objectively measure brain activity and is useful for identifying brain disorders. However, the ASD diagnostic models employed to date have not reached satisfactory levels of accuracy. This study proposes the use of MAACNN, a method that utilizes multi-view convolutional neural networks (CNNs) in conjunction with attention mechanisms for identifying ASD in multi-scale fMRI. The proposed algor

APA, Harvard, Vancouver, ISO, and other styles

8

Tyutyunnikova, Nina Borisovna. "AUTISM SPECTRUM DISORDERS." Nauka v sovremennom mire 6, no. 11 (2020): 33–34. http://dx.doi.org/10.31618/2524-0935-2019-44-11-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Fitzgerald, Kara, Mark Hyman, Mark Hyman, and Kathie Swift. "Autism Spectrum Disorders." Global Advances in Health and Medicine 1, no. 4 (2012): 62–74. http://dx.doi.org/10.7453/gahmj.2012.1.4.010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Dudová, Iva. "Autism spectrum disorders." Česko-slovenská pediatrie 77, no. 3 (2022): 143–47. http://dx.doi.org/10.55095/cspediatrie2022/018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Iles, Ashley. "Autism Spectrum Disorders." Primary Care: Clinics in Office Practice 48, no. 3 (2021): 461–73. http://dx.doi.org/10.1016/j.pop.2021.04.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Yatchmink, Yvette. "Autism Spectrum Disorders." Journal of Developmental & Behavioral Pediatrics 26, no. 3 (2005): 246. http://dx.doi.org/10.1097/00004703-200506000-00014.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Tchaconas, Alexis, and Andrew Adesman. "Autism spectrum disorders." Current Opinion in Pediatrics 25, no. 1 (2013): 130–44. http://dx.doi.org/10.1097/mop.0b013e32835c2b70.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Faras, Hadeel, Nahed Al Ateeqi, and Lee Tidmarsh. "Autism spectrum disorders." Annals of Saudi Medicine 30, no. 4 (2010): 295–300. http://dx.doi.org/10.4103/0256-4947.65261.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Maria, Bernard L. "Autism Spectrum Disorders." Journal of Child Neurology 30, no. 14 (2015): 1859–60. http://dx.doi.org/10.1177/0883073815600868.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Nightingale, Sarah. "Autism spectrum disorders." Nature Reviews Drug Discovery 11, no. 10 (2012): 745–46. http://dx.doi.org/10.1038/nrd3771.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Johnson, Maureen K., and Mary Ruth Carter. "Autism Spectrum Disorders." American Journal of Health Education 42, no. 5 (2011): 311–18. http://dx.doi.org/10.1080/19325037.2011.10599202.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Hussein, Hanan, and Ghada R. A. Taha. "Autism spectrum disorders." Middle East Current Psychiatry 20, no. 3 (2013): 106–16. http://dx.doi.org/10.1097/01.xme.0000430433.49160.a4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Ervin, Margaret. "Autism Spectrum Disorders." ASHA Leader 8, no. 7 (2003): 4–15. http://dx.doi.org/10.1044/leader.ftr2.08072003.4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Charman, Tony. "Autism spectrum disorders." Psychiatry 4, no. 8 (2005): 81–84. http://dx.doi.org/10.1383/psyt.2005.4.8.81.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Al-Baher, Ibrahim Ali. "Autism Spectrum Disorders." Journal of Clinical Medicine and Regenerative Medicine 1, no. 1 (2023): 1. http://dx.doi.org/10.47363/jcmrm/2023(1)104.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Stoltenberg, Camilla. "Autism Spectrum Disorders." Epidemiology 22, no. 4 (2011): 489–90. http://dx.doi.org/10.1097/ede.0b013e31821d0b6d.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Howlin, Patricia. "Autism spectrum disorders." Psychiatry 5, no. 9 (2006): 320–24. http://dx.doi.org/10.1053/j.mppsy.2006.06.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Myles, Brenda Smith, Richard L. Simpson, and Andrea M. Babkie. "Autism Spectrum Disorders." Focus on Autism and Other Developmental Disabilities 18, no. 4 (2003): 268–69. http://dx.doi.org/10.1177/10883576030180040801.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

van Schalkwyk, Gerrit I., and Fred R. Volkmar. "Autism Spectrum Disorders." Psychoanalytic Study of the Child 69, no. 1 (2015): 219–41. http://dx.doi.org/10.1080/00797308.2016.11785529.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Steinhausen, Hans-Christoph. "Autism spectrum disorders." Acta Psychiatrica Scandinavica 126, no. 3 (2012): 229. http://dx.doi.org/10.1111/j.1600-0447.2012.01881.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

van Schalkwyk, Gerrit I., and Fred R. Volkmar. "Autism Spectrum Disorders." Child and Adolescent Psychiatric Clinics of North America 26, no. 2 (2017): 329–39. http://dx.doi.org/10.1016/j.chc.2016.12.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Lord, Catherine, Edwin H. Cook, Bennett L. Leventhal, and David G. Amaral. "Autism Spectrum Disorders." Neuron 28, no. 2 (2000): 355–63. http://dx.doi.org/10.1016/s0896-6273(00)00115-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Charman, Tony. "Autism spectrum disorders." Psychiatry 7, no. 8 (2008): 331–34. http://dx.doi.org/10.1016/j.mppsy.2008.05.015.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Lauritsen, Marlene Briciet. "Autism spectrum disorders." European Child & Adolescent Psychiatry 22, S1 (2013): 37–42. http://dx.doi.org/10.1007/s00787-012-0359-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Rao, S., and G. Salmon. "Autism spectrum disorders." British Journal of Hospital Medicine 71, no. 12 (2010): 699–703. http://dx.doi.org/10.12968/hmed.2010.71.12.699.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Pineda, M. "Autism spectrum disorders." Anales de Pediatría (English Edition) 81, no. 1 (2014): 1–2. http://dx.doi.org/10.1016/j.anpede.2014.04.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Manning-Courtney, Patricia, Donna Murray, Kristn Currans, et al. "Autism Spectrum Disorders." Current Problems in Pediatric and Adolescent Health Care 43, no. 1 (2013): 2–11. http://dx.doi.org/10.1016/j.cppeds.2012.08.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Yates, Kirsty, and Ann Le Couteur. "Diagnosing autism/autism spectrum disorders." Paediatrics and Child Health 26, no. 12 (2016): 513–18. http://dx.doi.org/10.1016/j.paed.2016.08.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Rivara, Frederick P. "Autism and Autism Spectrum Disorders." Archives of Pediatrics & Adolescent Medicine 160, no. 5 (2006): 548. http://dx.doi.org/10.1001/archpedi.160.5.548-a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Nightingale, Sarah. "Erratum: Autism spectrum disorders." Nature Reviews Drug Discovery 11, no. 11 (2012): 886. http://dx.doi.org/10.1038/nrd3892.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Phetrasuwan, Supapak, Margaret Shandor Miles, Gary B. Mesibov, and Cordelia Robinson. "Defining Autism Spectrum Disorders." Journal for Specialists in Pediatric Nursing 14, no. 3 (2009): 206–9. http://dx.doi.org/10.1111/j.1744-6155.2009.00200.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Steyn, B., and A. Le Couteur. "Understanding autism spectrum disorders." Current Paediatrics 13, no. 4 (2003): 274–78. http://dx.doi.org/10.1016/s0957-5839(03)00049-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Cochran, David M., Yael Dvir, and Jean A. Frazier. "“Autism-plus” Spectrum Disorders." Child and Adolescent Psychiatric Clinics of North America 22, no. 4 (2013): 609–27. http://dx.doi.org/10.1016/j.chc.2013.04.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Baumer, J. H. "Autism spectrum disorders, SIGN." Archives of Disease in Childhood - Education and Practice 93, no. 5 (2008): 163–66. http://dx.doi.org/10.1136/adc.2008.145938.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Akshoomoff, Natacha. "Autism Spectrum Disorders: Introduction." Child Neuropsychology 12, no. 4-5 (2006): 245–46. http://dx.doi.org/10.1080/09297040600788128.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Brown-Wright, Lucy, and Dianne Gumley. "Identifying autism spectrum disorders." Clinical Psychology Forum 1, no. 161 (2006): 3.1–3. http://dx.doi.org/10.53841/bpscpf.2006.1.161.3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Xue Ming, Michael Brimacombe, Janti Chaaban, Barbie Zimmerman-Bier, and George C. Wagner. "Autism Spectrum Disorders: Concurrent Clinical Disorders." Journal of Child Neurology 23, no. 1 (2007): 6–13. http://dx.doi.org/10.1177/0883073807307102.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Peeters, Babette, Marc A. Benninga, Clara M. Loots, et al. "Autism Spectrum Disorders and Autism Spectrum Symptoms in Children With Functional Defecation Disorders." Gastroenterology 140, no. 5 (2011): S—742—S—743. http://dx.doi.org/10.1016/s0016-5085(11)63087-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Ganaie, S.A, and A. Bashir. "Global Autism: Autism, Autism Etiology, Perceptions, Epistemology, Prevalence and Action." International Journal of Clinical Therapeutics and Diagnosis 2, no. 2 (2014): 39–47. https://doi.org/10.19070/2332-2926- 140008.

Full text

Abstract:

Autism is a Neuro-Developmental Disorder affecting socialization and communication with stereotype behaviors. The research Scientists all over world found that genetic and environmental factors are causes of Autism Spectrum Disorders. Over the past decade, worldwide Autism, advanced rehabilitation services and research estimates of increase between 50% to over 2000% in cases of Autism Spectrum Disorder diagnoses. The rise in diagnoses of Autism Spectrum Disorder impacts us all. The national prevalence of autism spectrum disorders in India is 1 out of 250 children (Posserud

APA, Harvard, Vancouver, ISO, and other styles

46

Kim, Hyun Jung, and Emily Carol. "Autism Spectrum Disorder and Schizophrenia Spectrum Disorders." Psychiatric Annals 53, no. 5 (2023): 209–15. http://dx.doi.org/10.3928/00485713-20230424-01.

Full text

Abstract:

Autism spectrum disorder (ASD) and schizophrenia spectrum disorders (SSD) are currently conceptualized as distinct illnesses. However, there has been considerable debate over the association between these two disorders. Research findings over the last decade suggest a number of overlapping domains between ASD and SSD: shared environmental risk factors, genetics, neurobiological features, brain imaging, clinical features, and comorbidities. These commonalities lead to significant challenges in differentiating between the core symptoms of ASD and SSD. Misinterpretation of symptoms is common in c

APA, Harvard, Vancouver, ISO, and other styles

47

Vasu, Mahesh Mundalil, Puthiripadath S. Sumitha, Parakkal Rahna, Ismail Thanseem, and Ayyappan Anitha. "microRNAs in Autism Spectrum Disorders." Current Pharmaceutical Design 25, no. 41 (2020): 4368–78. http://dx.doi.org/10.2174/1381612825666191105120901.

Full text

Abstract:

Background: Efforts to unravel the extensive impact of the non-coding elements of the human genome on cell homeostasis and pathological processes have gained momentum over the last couple of decades. miRNAs refer to short, often 18-25 nucleotides long, non-coding RNA molecules which can regulate gene expression. Each miRNA can regulate several mRNAs. Methods: This article reviews the literature on the roles of miRNAs in autism. Results: Considering the fact that ~ 1% of the human DNA encodes different families of miRNAs, their overall impact as critical regulators of gene expression in the mam

APA, Harvard, Vancouver, ISO, and other styles

48

Dudová, Iva, and Markéta Mohaplová. "Autism spectrum disorders - part 1." Pediatrie pro praxi 17, no. 3 (2016): 151–53. http://dx.doi.org/10.36290/ped.2016.034.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Dudová, Iva, and Markéta Mohaplová. "Autism spectrum disorders - part 2." Pediatrie pro praxi 17, no. 4 (2016): 204–7. http://dx.doi.org/10.36290/ped.2016.047.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Raja, Michele. "AUTISM Spectrum Disorders and Suicidality." Clinical Practice § Epidemiology in Mental Health 7, no. 1 (2011): 97–105. http://dx.doi.org/10.2174/1745017901107010097.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!