Siddique Latif
Orcid: 0000-0001-5662-4777
According to our database1,
Siddique Latif
authored at least 53 papers
between 2017 and 2023.
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Bibliography
2023
Artif. Intell. Rev., March, 2023
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation.
Sensors, February, 2023
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition.
IEEE Trans. Affect. Comput., 2023
IEEE Trans. Affect. Comput., 2023
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers.
CoRR, 2023
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers.
CoRR, 2023
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model.
CoRR, 2023
CoRR, 2023
Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices.
CoRR, 2023
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.
CoRR, 2023
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation.
CoRR, 2023
Breaking Barriers: Can Multilingual Foundation Models Bridge the Gap in Cross-Language Speech Emotion Recognition?
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
2022
IEEE Trans. Affect. Comput., 2022
CoRR, 2022
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection.
CoRR, 2022
2021
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
2020
IEEE Trans. Artif. Intell., 2020
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition.
CoRR, 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends.
CoRR, 2020
Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
2019
IEEE Technol. Soc. Mag., 2019
CoRR, 2019
CoRR, 2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding.
CoRR, 2019
Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
Proceedings of the Interspeech 2019, 2019
Proceedings of the 2nd International Conference on Advancements in Computational Sciences, 2019
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
2018
J. Netw. Comput. Appl., 2018
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness.
CoRR, 2018
CoRR, 2018
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique.
CoRR, 2018
Proceedings of the Interspeech 2018, 2018
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study.
Proceedings of the Interspeech 2018, 2018
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018
2017
Future Internet, 2017
CoRR, 2017
CoRR, 2017
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study.
IEEE Access, 2017