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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Context-Based Fake News Detection Model Relying on Deep Learning Models
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In: Electronics; Volume 11; Issue 8; Pages: 1255 (2022)
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Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022)
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5 |
Methods, Models and Tools for Improving the Quality of Textual Annotations
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In: Modelling; Volume 3; Issue 2; Pages: 224-242 (2022)
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Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain
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In: Mathematics; Volume 10; Issue 9; Pages: 1428 (2022)
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How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Deep Learning Methods for Human Behavior Recognition
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Lu, Jia. - : Auckland University of Technology, 2021
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Εφαρμογές βαθιάς μάθησης ... : Applications of deep learning ...
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An Auditory Saliency Pooling-Based LSTM Model for Speech Intelligibility Classification
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In: Symmetry ; Volume 13 ; Issue 9 (2021)
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Discriminative Multi-Stream Postfilters Based on Deep Learning for Enhancing Statistical Parametric Speech Synthesis
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In: Biomimetics ; Volume 6 ; Issue 1 (2021)
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Korean Prosody Phrase Boundary Prediction Model for Speech Synthesis Service in Smart Healthcare
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In: Electronics ; Volume 10 ; Issue 19 (2021)
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Dynamic gesture classification of American Sign Language using deep learning
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14 |
Neural semantic role labeling with more or less supervision
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Cai, Rui. - : The University of Edinburgh, 2021
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An auditory saliency pooling-based LSTM model for speech intelligibility classification
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16 |
A study on the impact of neural architectures for Unsupervised Machine Translation
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Structure-(in)dependent Interpretation of Phrases in Humans and LSTMs
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Narrow-band Deep Filtering for Multichannel Speech Enhancement
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In: https://hal.inria.fr/hal-02378413 ; 2020 (2020)
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19 |
Place perception from the fusion of different image representation
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In: Li, P, Li, X, Li, X, Pan, H, Khyam, MO, Noor-A-Rahim, M, Ge, SS, (2020). Place perception from the fusion of different image representation. Pattern Recognition, Vol. 110, p. 1-11 http://dx.doi.org/10.1016/j.patcog.2020.107680 (2020)
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Identifying complaints from product reviews: a case study on Hindi
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In: Singh, Raghvendra Pratap, Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2020) Identifying complaints from product reviews: a case study on Hindi. In: 28th Irish Conference on Artificial Intelligence and Cognitive Science, 7-8 Dec 2020, Dublin, Ireland. (2020)
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