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One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech
8 references·0 citing·39 second hop
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech (2021)One-dimensional convolutional neural netw…Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting the Price of Bitco…Evaluation of bidirectional LSTM for short-and long-term stock market prediction (2018)Evaluation of bidirectional L…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Speech Databases of Typical Children and Children with SLI (2016)Speech Databases of Typical C…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Developmental Dyslexia and Specific Language Impairment: Same or Different? (2004)Developmental Dyslexia and Sp…Specific Language Impairment: Diagnostic Dilemmas (2003)Specific Language Impairment:…Psycholinguistic Markers for Specific Language Impairment (SLI) (2001)Psycholinguistic Markers for …Matthew Effects in Reading: Some Consequences of Individual Differences in the Acquisition of Literacy (1986)Comprehension: A Paradigm for Cognition (1998)Are Specific Language Impairment and Dyslexia Distinct Disorders? (2005)Language Deficits in Poor Comprehenders: A Case for the Simple View of Reading (2006)On the Anglocentricities of current reading research and practice: The perils of overreliance on an "outlier" orthography. (2008)Diagnostic and Statistical Manual of Mental Disorders (2013)Phonological memory deficits in language disordered children: Is there a causal connection? (1990)Prevalence of Specific Language Impairment in Kindergarten Children (1997)Specific Language Impairment is not Specific to Language: the Procedural Deficit Hypothesis (2005)Nonword repetition and word learning: The nature of the relationship (2006)Children with Specific Language Impairment (2014)CATALISE: A Multinational and Multidisciplinary Delphi Consensus Study. Identifying Language Impairments in Children (2016)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Designing a neural network for forecasting financial and economic time series (1996)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Practical Bayesian Optimization of Machine Learning Algorithms (2012)An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information (2017)An innovative neural network approach for stock market prediction (2018)Deep learning for financial applications : A survey (2020)Emotion recognition in human-computer interaction (2001)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Deep learning for stock prediction using numerical and textual information (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Stock Market Prediction Using Machine Learning (2018)Stock Price Forecasting with Deep Learning: A Comparative Study (2020)A systematic review of stock market prediction using machine learning and statistical techniques (2021)Publication Manual of the American Psychological Association (4th ed.). (1996)School-aged children with SLI: The ICF as a framework for collaborative service delivery (2007)Using the ICF within speech-language pathology: Application to developmental language impairment (2007)Parent and self-ratings of executive function in adolescents with specific language impairment (2009)
this work references cited by second hop

References

  • 2004Developmental Dyslexia and Specific Language Impairment: Same or Different?1,354 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2001Psycholinguistic Markers for Specific Language Impairment (SLI)879 cited
  • 2018Predicting the Price of Bitcoin Using Machine Learning690 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2018Evaluation of bidirectional LSTM for short-and long-term stock market prediction257 cited
  • 2003Specific Language Impairment: Diagnostic Dilemmas86 cited
  • 2016Speech Databases of Typical Children and Children with SLI43 cited

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