461104. Neural networks


Title461104. Neural networks
Parent4611. Machine learning

Latest research outputs

Sort by Date Title
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands
Chand, Ravinesh. 2024. Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies in Fiji Islands. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y7z

Masters Thesis

Guided Disentangled Representation Learning from Audio data for Transfer Learning
Haque, Kazi Nazmul. 2024. Guided Disentangled Representation Learning from Audio data for Transfer Learning. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z9y75

PhD by Publication

Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector
Raj, Shiveel. 2024. Atmospheric visibility and cloud cover forecasting with novel artificial intelligence methods for Fiji's aviation sector. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z9y1y

Masters Thesis

A customised vision transformer for accurate detection and classification of Java Plum leaf disease
Bhowmik, Auvick Chandra, Ahad, Md. Taimur, Emon, Yousuf Rayhan, Ahmed, Faruk, Song, Bo and Li, Yan. 2024. "A customised vision transformer for accurate detection and classification of Java Plum leaf disease ." Smart Agricultural Technology . 8. https://doi.org/10.1016/j.atech.2024.100500

Article

A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Shen, Mingkan, Yang, Fuwen, Wen, Peng, Song, Bo and Li, Yan. 2024. "A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network." Heliyon. 10 (11). https://doi.org/10.1016/j.heliyon.2024.e31827

Article

Special issue on link prediction in complex networks
Sheng, Michael, Cai, Taotao and Mahmood, Adnan. 2024. "Special issue on link prediction in complex networks." Computing. 106 (7), pp. 2079-2079. https://doi.org/10.1007/s00607-024-01298-7

Editorial

Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis
Hossain, Tanzim, Shamrat, F M Javed Mehedi, Zhou, Xujuan, Mahmud, Imran, Mazumder, Md. Sakib Ali, Sharmin, Sharmin and Gururajan, Raj. 2024. "Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis." PeerJ Computer Science. 10. https://doi.org/10.7717/PEERJ-CS.1950

Article

Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Joseph, Lionel P., Deo, Ravinesh C., Casillas-Perez, David, Prasad, Ramendra, Raj, Nawin and Salcedo-sanz, Sancho. 2024. "Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model." Applied Energy. 359. https://doi.org/10.1016/j.apenergy.2024.122624

Article

Electricity demand error corrections with attention bi-directional neural networks
Ghimire, Sujan, Deo, Ravinesh C., Casillas-Perez, David and Salcedo-sanz, Sancho. 2024. "Electricity demand error corrections with attention bi-directional neural networks." Energy. 291. https://doi.org/10.1016/j.energy.2023.129938

Article

Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Real-time epilepsy seizure detection based on EEG using tunable-Q wavelet transform and convolutional neural network." Biomedical Signal Processing and Control. 82. https://doi.org/10.1016/j.bspc.2022.104566

Article

Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from ungauged catchments to the Great Barrier Reef
O’Sullivan, Cherie. 2023. Artificial intelligence informed simulation of dissolved Inorganic Nitrogen from ungauged catchments to the Great Barrier Reef. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z6206

PhD by Publication

Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation
Wang, Peipei, Li, Lin, Wang, Ru and Tao, Xizohui. 2023. "Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation." 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). Tianjin, China 17 - 20 Apr 2023 Switzerland . Springer. pp. 80-96 https://doi.org/10.1007/978-3-031-30672-3_6

Paper

Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Shen, Mingkan, Wen, Peng, Song, Bo and Li, Yan. 2023. "Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network." Computers in Biology and Medicine. 160. https://doi.org/10.1016/j.compbiomed.2023.107022

Article

Mental stress recognition on the fly using neuroplasticity spiking neural networks
Weerasinghe, Mahima Milinda Alwis, Wang, Grace, Whalley, Jacqueline and Crook-Rumsey, Mark. 2023. "Mental stress recognition on the fly using neuroplasticity spiking neural networks." Scientific Reports. 13. https://doi.org/10.1038/s41598-023-34517-w

Article

Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja and Schuller, Bjorn. 2023. "Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition." IEEE Transactions on Affective Computing. 14 (3), pp. 1912-1926. https://doi.org/10.1109/TAFFC.2022.3167013

Article

Identifying informative tweets during a pandemic via a topic‑aware neural language model
Gao, Wang, Li, Lin, Tao, Xiaohui, Zhou, Jing and Tao, Jun. 2023. "Identifying informative tweets during a pandemic via a topic‑aware neural language model." World Wide Web. 26 (1), pp. 55-70. https://doi.org/10.1007/s11280-022-01034-1

Article

A survey on deep reinforcement learning for audio‑based applications
Latif, Siddique, Cuayahuitl, Heriberto, Pervez, Farrukh, Shamshad, Fahad, Ali, Hafiz Shehbaz and Cambria, Erik. 2023. "A survey on deep reinforcement learning for audio‑based applications." Artificial Intelligence Review: an international survey and tutorial journal. 56 (3), p. 2193–2240. https://doi.org/10.1007/s10462-022-10224-2

Article

Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing
Ali, Hafiz Shehbaz, Hassan, Fakhar ul, Latif, Siddique, Manzoor, Habib Ullah and Qadir, Junaid. 2021. "Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing." IEEE International Conference on Communications Workshops (2021). Montreal, Canada 14 - 23 Jun 2021 United States. https://doi.org/10.1109/ICCWorkshops50388.2021.9473669

Paper

Contrastive and attentive graph learning for multi-view clustering
Wang, Ru, Li, Lin, Tao, Xiaohui, Wang, Peipei and Liu, Peiyu. 2022. "Contrastive and attentive graph learning for multi-view clustering." Information Processing and Management. 59 (4), pp. 1-14. https://doi.org/10.1016/j.ipm.2022.102967

Article

Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation
Latif, Siddique, Kim, Inyoung, Calapodescu, Ioan and Besacier, Laurent. 2021. "Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation." 25th Conference on Computational Natural Language Learning (CoNLL 2021). Punta Cana, Dominican Republic 10 - 11 Nov 2021 Stroudsburg, Pennsylvania. https://doi.org/10.18653/v1/2021.conll-1.42

Paper

Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique. 2022. Deep Representation Learning for Speech Emotion Recognition. PhD by Publication Doctor of Philosophy (DPHD). University of Southern Queensland. https://doi.org/10.26192/w8w00

PhD by Publication

Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models
Johnston, David B.. 2022. Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q78

PhD Thesis

Survey of Deep Representation Learning for Speech Emotion Recognition
Latif, Siddique, Rana, Rajib, Khalifa, Sara, Jurdak, Raja, Qadir, Junaid and Schuller, Bjorn. 2021. "Survey of Deep Representation Learning for Speech Emotion Recognition." IEEE Transactions on Affective Computing. 14 (2), pp. 1634-1654. https://doi.org/10.1109/TAFFC.2021.3114365

Article

Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines
Raj, Nawin and Gharineiat, zahra. 2021. "Evaluation of multivariate adaptive regression splines and artificial neural network for prediction of mean sea level trend around northern Australian coastlines." Mathematics. 9 (21), pp. 1-20. https://doi.org/10.3390/math9212696

Article

High-fidelity audio generation and representation learning with guided adversarial autoencoder
Haque, Kazi Nazmul, Rana, Rajib and Schuller, Bjorn W.. 2020. "High-fidelity audio generation and representation learning with guided adversarial autoencoder." IEEE Access. 8, pp. 223509-223528. https://doi.org/10.1109/ACCESS.2020.3040797

Article

Self-Sorting of Solid Waste using Machine Learning
Chan, Tyson, Cai, Jacky H., Chen, Francis and Chan, Ka C.. 2020. "Self-Sorting of Solid Waste using Machine Learning." Hernes, Marcin, Wojtkiewicz, Krystian and Szczerbicki, Edward (ed.) 12th International Conference on Computational Collective Intelligence (ICCCI 2020). Da Nang, Vietnam 30 Nov - 03 Dec 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-63119-2

Paper

Variational Autoencoders to Learn Latent Representations of Speech Emotion
Latif, Siddique, Rana, Rajib, Qadir, Junaid and Epps, Julien. 2018. "Variational Autoencoders to Learn Latent Representations of Speech Emotion." 19th Annual Conference of the International Speech Communication Association: Speech Research for Emerging Markets in Multilingual Societies (INTERSPEECH 2018). Hyderabad, India 02 - 06 Sep 2018 France. https://doi.org/10.21437/Interspeech.2018-1568

Paper