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Shoaib Jameel
Shoaib Jameel
Associate Professor, University of Southampton
Подтвержден адрес электронной почты в домене southampton.ac.uk - Главная страница
Название
Процитировано
Процитировано
Год
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media
H Zogan, I Razzak, X Wang, S Jameel, G Xu
World Wide Web 25 (1), 281-304, 2022
1922022
Detecting community depression dynamics due to COVID-19 pandemic in Australia
J Zhou, H Zogan, S Yang, S Jameel, G Xu, F Chen
IEEE Transactions on Computational Social Systems 8 (4), 982-991, 2021
1042021
Jointly learning word embeddings and latent topics
B Shi, W Lam, S Jameel, S Schockaert, KP Lai
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
1022017
Depressionnet: learning multi-modalities with user post summarization for depression detection on social media
H Zogan, I Razzak, S Jameel, G Xu
proceedings of the 44th international ACM SIGIR conference on research and …, 2021
692021
Depressionnet: A novel summarization boosted deep framework for depression detection on social media
H Zogan, I Razzak, S Jameel, G Xu
arXiv preprint arXiv:2105.10878, 2021
692021
An unsupervised topic segmentation model incorporating word order
S Jameel, W Lam
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
482013
Click-through rate prediction with multi-modal hypergraphs
L He, H Chen, D Wang, S Jameel, P Yu, G Xu
Proceedings of the 30th ACM international conference on information …, 2021
472021
Web query reformulation via joint modeling of latent topic dependency and term context
L Bing, W Lam, TL Wong, S Jameel
ACM Transactions on Information Systems (TOIS) 33 (2), 1-38, 2015
452015
Unsupervised learning of distributional relation vectors
M Jameel, Z Bouraoui, S Schockaert
422018
Relation induction in word embeddings revisited
Z Bouraoui, S Jameel, S Schockaert
Association for Computational Linguistics, 2018
382018
Supervised topic models with word order structure for document classification and retrieval learning
S Jameel, W Lam, L Bing
Information Retrieval Journal 18, 283-330, 2015
302015
Member: Max-margin based embeddings for entity retrieval
S Jameel, Z Bouraoui, S Schockaert
Proceedings of the 40th international ACM SIGIR conference on research and …, 2017
292017
Aligning visual prototypes with bert embeddings for few-shot learning
K Yan, Z Bouraoui, P Wang, S Jameel, S Schockaert
Proceedings of the 2021 International Conference on Multimedia Retrieval …, 2021
282021
Adaptive concept resolution for document representation and its applications in text mining
L Bing, S Jiang, W Lam, Y Zhang, S Jameel
Knowledge-Based Systems 74, 1-13, 2015
282015
Entity embeddings with conceptual subspaces as a basis for plausible reasoning
S Jameel, S Schockaert
ECAI 2016, 1353-1361, 2016
262016
Hierarchical convolutional attention network for depression detection on social media and its impact during pandemic
H Zogan, I Razzak, S Jameel, G Xu
IEEE Journal of Biomedical and Health Informatics 28 (4), 1815-1823, 2023
252023
Inductive reasoning about ontologies using conceptual spaces
Z Bouraoui, S Jameel, S Schockaert
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
232017
Inferring prototypes for multi-label few-shot image classification with word vector guided attention
K Yan, C Zhang, J Hou, P Wang, Z Bouraoui, S Jameel, S Schockaert
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2991-2999, 2022
202022
Adaptable closed-domain question answering using contextualized CNN-attention models and question expansion
MA Kia, A Garifullina, M Kern, J Chamberlain, S Jameel
IEEE Access 10, 45080-45092, 2022
202022
From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
G Huang, Y Li, S Jameel, Y Long, G Papanastasiou
Computational and Structural Biotechnology Journal, 2024
172024
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