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ORCIDSiddique Latif
Siddiq Latif
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2020 – today
- 2024
[j15]Muhammad Usman
, Azka Rehman, Abdullah Shahid, Siddique Latif, Yeong-Gil Shin:
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection. Eng. Appl. Artif. Intell. 129: 107597 (2024)- [j14]Farrukh Pervez, Moazzam Shoukat, Muhammad Usama, Moid Sandhu, Siddique Latif, Junaid Qadir:
Affective Computing and the Road to an Emotionally Intelligent Metaverse. IEEE Open J. Comput. Soc. 5: 195-214 (2024) - [j13]Farrukh Pervez, Moazzam Shoukat, Varsha Suresh, Muhammad Umar Bin Farooq, Moid Sandhu, Adnan Qayyum, Muhammad Usama, Anna M. Girardi, Siddique Latif, Junaid Qadir:
Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare. IEEE Open J. Comput. Soc. 5: 491-510 (2024) - 2023
- [j12]Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A survey on deep reinforcement learning for audio-based applications. Artif. Intell. Rev. 56(3): 2193-2240 (2023) - [j11]Azka Rehman, Muhammad Usman, Abdullah Shahid, Siddique Latif, Junaid Qadir:
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation. Sensors 23(4): 2346 (2023) - [j10]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller:
Survey of Deep Representation Learning for Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(2): 1634-1654 (2023) - [j9]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(3): 1912-1926 (2023) - [j8]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(4): 3164-3176 (2023) - [c15]Mohammad Ibrahim Malik, Siddique Latif, Raja Jurdak, Björn W. Schuller:
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model. INTERSPEECH 2023: 646-650 - [c14]Moazzam Shoukat, Muhammad Usama, Hafiz Shehbaz Ali, Siddique Latif:
Breaking Barriers: Can Multilingual Foundation Models Bridge the Gap in Cross-Language Speech Emotion Recognition? SNAMS 2023: 1-9 - [i39]Abdullah Shahid, Siddique Latif, Junaid Qadir:
Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation. CoRR abs/2301.03751 (2023) - [i38]Siddique Latif, Aun Zaidi, Heriberto Cuayáhuitl, Fahad Shamshad, Moazzam Shoukat, Junaid Qadir:
Transformers in Speech Processing: A Survey. CoRR abs/2303.11607 (2023) - [i37]Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Sung Hyun Kim, Tariq Mahmood Khan, Yeong-Gil Shin:
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan. CoRR abs/2304.01576 (2023) - [i36]Ahlam Husni Abu Nada, Siddique Latif, Junaid Qadir:
Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices. CoRR abs/2304.11408 (2023) - [i35]Ibrahim Malik, Siddique Latif, Sanaullah Manzoor, Muhammad Usama, Junaid Qadir, Raja Jurdak:
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing. CoRR abs/2305.00725 (2023) - [i34]Ibrahim Malik, Siddique Latif, Raja Jurdak, Björn W. Schuller:
A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model. CoRR abs/2305.11413 (2023) - [i33]Syed Aun Muhammad Zaidi, Siddique Latif, Junaid Qadir:
Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers. CoRR abs/2306.13804 (2023) - [i32]Siddique Latif, Muhammad Usama, Mohammad Ibrahim Malik, Björn W. Schuller:
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers. CoRR abs/2307.06090 (2023) - [i31]Siddique Latif, Moazzam Shoukat, Fahad Shamshad, Muhammad Usama, Yi Ren, Heriberto Cuayáhuitl, Wenwu Wang, Xulong Zhang, Roberto Togneri, Erik Cambria, Björn W. Schuller:
Sparks of Large Audio Models: A Survey and Outlook. CoRR abs/2308.12792 (2023) - 2022
- [j7]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps, Björn W. Schuller:
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition. IEEE Trans. Affect. Comput. 13(2): 992-1004 (2022) - [c13]Hafiz Shehbaz Ali, Siddique Latif:
Multi-task learning from Unlabelled Data to Improve Cross Language Speech Emotion Recognition. SMM 2022 - [i30]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition. CoRR abs/2204.08625 (2022) - [i29]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition. CoRR abs/2207.05298 (2022) - [i28]Muhammad Usman, Azka Rehman, Abdullah Shahid, Siddique Latif, Shi Sub Byon, Byoung-Dai Lee, Sung Hyun Kim, Byung IlLee, Yeong-Gil Shin:
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection. CoRR abs/2211.00003 (2022) - [i27]Siddique Latif, Hafiz Shehbaz Ali, Muhammad Usama, Rajib Rana, Björn W. Schuller, Junaid Qadir:
AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path. CoRR abs/2211.07290 (2022) - 2021
- [c12]Siddique Latif, Inyoung Kim, Ioan Calapodescu, Laurent Besacier:
Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation. CoNLL 2021: 544-551 - [c11]Hafiz Shehbaz Ali, Fakhar ul Hassan, Siddique Latif, Habib Ullah Manzoor, Junaid Qadir:
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing. ICC Workshops 2021: 1-5 - [i26]Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez, Fahad Shamshad, Hafiz Shehbaz Ali, Erik Cambria:
A Survey on Deep Reinforcement Learning for Audio-Based Applications. CoRR abs/2101.00240 (2021) - [i25]Hafiz Shehbaz Ali, Fakhar ul Hassan, Siddique Latif, Habib Ullah Manzoor, Junaid Qadir:
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing. CoRR abs/2103.17139 (2021) - 2020
- [j6]Siddique Latif, Muhammad Usman, Sanaullah Manzoor, Waleed Iqbal, Junaid Qadir, Gareth Tyson, Ignacio Castro, Adeel Razi, Maged N. Kamel Boulos, Adrian Weller, Jon Crowcroft:
Leveraging Data Science to Combat COVID-19: A Comprehensive Review. IEEE Trans. Artif. Intell. 1(1): 85-103 (2020) - [c10]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. INTERSPEECH 2020: 521-525 - [c9]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition. INTERSPEECH 2020: 2327-2331 - [c8]Siddique Latif, Sara Khalifa, Rajib Rana, Raja Jurdak:
Poster Abstract: Federated Learning for Speech Emotion Recognition Applications. IPSN 2020: 341-342 - [i24]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Junaid Qadir, Björn W. Schuller:
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends. CoRR abs/2001.00378 (2020) - [i23]Siddique Latif, Muhammad Asim, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Augmenting Generative Adversarial Networks for Speech Emotion Recognition. CoRR abs/2005.08447 (2020) - [i22]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Björn W. Schuller:
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition. CoRR abs/2005.08453 (2020) - [i21]Thejan Rajapakshe, Siddique Latif, Rajib Rana, Sara Khalifa, Björn W. Schuller:
Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition. CoRR abs/2005.11172 (2020)
2010 – 2019
- 2019
- [j5]Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas:
Soft Computing Techniques for Dependable Cyber-Physical Systems. IEEE Access 7: 72030-72049 (2019) - [j4]Siddique Latif, Adnan Qayyum, Muhammad Usama, Junaid Qadir, Andrej J. Zwitter, Muhammad Shahzad:
Caveat Emptor: The Risks of Using Big Data for Human Development. IEEE Technol. Soc. Mag. 38(3): 82-90 (2019) - [c7]Siddique Latif, Junaid Qadir, Muhammad Bilal:
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. ACII 2019: 732-737 - [c6]Zafar Iqbal, Adnan Qayyum, Siddique Latif, Junaid Qadir:
Early Student Grade Prediction: An Empirical Study. ICACS 2019: 1-7 - [c5]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps:
Direct Modelling of Speech Emotion from Raw Speech. INTERSPEECH 2019: 3920-3924 - [c4]Muhammad Usama, Muhammad Asim, Siddique Latif, Junaid Qadir, Ala I. Al-Fuqaha:
Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems. IWCMC 2019: 78-83 - [i20]Muhammad Usman, Siddique Latif, Muhammad Asim, Junaid Qadir:
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. CoRR abs/1902.07430 (2019) - [i19]Rajib Rana, Siddique Latif, Raj Gururajan, Anthony Gray, Geraldine Mackenzie, Gerald Michael Humphris, Jeff Dunn:
Automated Screening for Distress: A Perspective for the Future. CoRR abs/1902.09944 (2019) - [i18]Fakhar ul Hassan, Anwaar Ali, Siddique Latif, Junaid Qadir, Salil S. Kanhere, Jatinder Singh, Jon Crowcroft:
Blockchain And The Future of the Internet: A Comprehensive Review. CoRR abs/1904.00733 (2019) - [i17]Siddique Latif, Rajib Rana, Sara Khalifa, Raja Jurdak, Julien Epps:
Direct Modelling of Speech Emotion from Raw Speech. CoRR abs/1904.03833 (2019) - [i16]Kazi Nazmul Haque, Siddique Latif, Rajib Rana:
Disentangled Representation Learning with Information Maximizing Autoencoder. CoRR abs/1904.08613 (2019) - [i15]Siddique Latif, Adnan Qayyum, Muhammad Usama, Junaid Qadir, Andrej J. Zwitter, Muhammad Shahzad:
Caveat emptor: the risks of using big data for human development. CoRR abs/1905.00493 (2019) - [i14]Rajib Rana, Siddique Latif, Sara Khalifa, Raja Jurdak, Julien Epps:
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion. CoRR abs/1907.06078 (2019) - [i13]Siddique Latif, Junaid Qadir, Muhammad Bilal:
Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. CoRR abs/1907.06083 (2019) - [i12]Thejan Rajapakshe, Rajib Rana, Siddique Latif, Sara Khalifa, Björn W. Schuller:
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition. CoRR abs/1910.11256 (2019) - 2018
- [j3]Muhammad Aqib Javed, Muhammad Shahzad Younis, Siddique Latif, Junaid Qadir, Adeel Baig:
Community detection in networks: A multidisciplinary review. J. Netw. Comput. Appl. 108: 87-111 (2018) - [c3]Siddique Latif, Adnan Qayyum, Muhammad Usman, Junaid Qadir:
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. FIT 2018: 88-93 - [c2]Siddique Latif, Rajib Rana, Shahzad Younis, Junaid Qadir, Julien Epps:
Transfer Learning for Improving Speech Emotion Classification Accuracy. INTERSPEECH 2018: 257-261 - [c1]Siddique Latif, Rajib Rana, Junaid Qadir, Julien Epps:
Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study. INTERSPEECH 2018: 3107-3111 - [i11]Siddique Latif, Rajib Rana, Shahzad Younis, Junaid Qadir, Julien Epps:
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique. CoRR abs/1801.06353 (2018) - [i10]Siddique Latif, Muhammad Usman, Junaid Qadir, Rajib Rana:
Abnormal Heartbeat Detection Using Recurrent Neural Networks. CoRR abs/1801.08322 (2018) - [i9]Muhammad Usman Ilyas, Siddique Latif, Junaid Qadir:
Using Deep Autoencoders for Facial Expression Recognition. CoRR abs/1801.08329 (2018) - [i8]Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan Khalid Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas:
Soft Computing Techniques for Dependable Cyber-Physical Systems. CoRR abs/1801.10472 (2018) - [i7]Adnan Qayyum, Zafar Gilani, Siddique Latif, Junaid Qadir, Jat Singh:
Exploring Media Bias and Toxicity in South Asian Political Discourse. CoRR abs/1811.06693 (2018) - [i6]Siddique Latif, Muhammad Asim, Muhammad Usman, Junaid Qadir, Rajib Rana:
Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks. CoRR abs/1811.09750 (2018) - [i5]Siddique Latif, Rajib Rana, Junaid Qadir:
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness. CoRR abs/1811.11402 (2018) - [i4]Siddique Latif, Adnan Qayyum, Muhammad Usman, Junaid Qadir:
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. CoRR abs/1812.10411 (2018) - 2017
- [j2]Siddiq Latif, Rajib Rana, Junaid Qadir, Anwaar Ali, Muhammad Ali Imran, Muhammad Shahzad Younis:
Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study. IEEE Access 5: 11540-11556 (2017) - [j1]Siddique Latif, Junaid Qadir, Shahzad Farooq, Muhammad Ali Imran:
How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare? Future Internet 9(4): 93 (2017) - [i3]Siddiq Latif, Farrukh Pervez, Muhammad Usama, Junaid Qadir:
Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks. CoRR abs/1702.02823 (2017) - [i2]Siddique Latif, Junaid Qadir, Shahzad Farooq, Muhammad Ali Imran:
How 5G (and concomitant technologies) will revolutionize healthcare. CoRR abs/1708.08746 (2017) - [i1]Siddique Latif, Rajib Rana, Junaid Qadir, Julien Epps:
Variational Autoencoders for Learning Latent Representations of Speech Emotion. CoRR abs/1712.08708 (2017)
Coauthor Index
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last updated on 2024-10-25 20:16 CEST by the dblp team
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