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Shoaib Jameel
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2020 – today
- 2025
- [c53]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Shoaib Jameel:
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes. COLING 2025: 1438-1450 - [c52]Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem, Basem Suleiman, Shoaib Jameel, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. COLING 2025: 6244-6254 - [c51]Ubaid Azam
, Imran Razzak
, Shelly Vishwakarma
, Hakim Hacid
, Dell Zhang
, Shoaib Jameel
:
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling. WSDM 2025: 382-391 - [c50]Lingzhi Shen
, Yunfei Long
, Xiaohao Cai
, Imran Razzak
, Guanming Chen
, Kang Liu
, Shoaib Jameel
:
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. WSDM 2025: 586-595 - [c49]Usman Naseem
, Liang Hu
, Qi Zhang
, Shoujin Wang, Shoaib Jameel
:
DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. WWW 2025: 5192-5201 - [i22]Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak:
Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification. CoRR abs/2501.06827 (2025) - [i21]Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak:
Long Context Modeling with Ranked Memory-Augmented Retrieval. CoRR abs/2503.14800 (2025) - [i20]Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek, Feilong Tang, Usman Naseem, Basem Suleiman, Hakim Hacid, Flora D. Salim, Imran Razzak:
Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer. CoRR abs/2503.15566 (2025) - 2024
- [j14]Mahsa Abazari Kia
, Aygul Garifullina, Mathias Kern, Jon Chamberlain, Shoaib Jameel:
Question-driven text summarization using an extractive-abstractive framework. Comput. Intell. 40(3) (2024) - [j13]Hamad Zogan
, Imran Razzak
, Shoaib Jameel, Guandong Xu
:
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic. IEEE J. Biomed. Health Informatics 28(4): 1815-1823 (2024) - [c48]Abdullah Alsuhaibani, Imran Razzak, Shoaib Jameel, Xianzhi Wang, Guandong Xu:
CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. WISE (4) 2024: 60-75 - [c47]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. WISE (4) 2024: 326-337 - [c46]Abdullah Alsuhaibani
, Hamad Zogan
, Imran Razzak
, Shoaib Jameel
, Guandong Xu
:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. WSDM 2024: 18-27 - [i19]Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. CoRR abs/2401.04025 (2024) - [i18]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction. CoRR abs/2404.10481 (2024) - [i17]Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel:
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty. CoRR abs/2404.10483 (2024) - [i16]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
NarrationDep: Narratives on Social Media For Automatic Depression Detection. CoRR abs/2407.17174 (2024) - [i15]Lingzhi Shen, Yunfei Long, Xiaohao Cai
, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel:
GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. CoRR abs/2412.12164 (2024) - [i14]Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert:
Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. CoRR abs/2412.13732 (2024) - 2023
- [j12]Sujit Roy
, Vishal Gaur, Haider Raza
, Shoaib Jameel:
CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback. IEEE Access 11: 17707-17720 (2023) - [j11]António Correia
, Andrea Grover, Shoaib Jameel, Daniel Schneider, Pedro Antunes
, Benjamim Fonseca:
A hybrid human-AI tool for scientometric analysis. Artif. Intell. Rev. 56(S1): 983-1010 (2023) - [j10]Li He
, Guandong Xu
, Shoaib Jameel, Xianzhi Wang
, Hongxu Chen
:
Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. 10(5): 2557-2565 (2023) - [j9]António Correia
, Diogo Guimarães
, Hugo Paredes
, Benjamim Fonseca
, Dennis Paulino
, Luís Trigo, Pavel Brazdil
, Daniel Schneider
, Andrea Grover
, Shoaib Jameel
:
NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection. IEEE Trans. Hum. Mach. Syst. 53(6): 1017-1026 (2023) - [c45]Mozhgan Talebpour, Alba García Seco de Herrera, Shoaib Jameel:
Topics in Contextualised Attention Embeddings. ECIR (2) 2023: 221-238 - [i13]Mozhgan Talebpour, Alba Garcia Seco de Herrera, Shoaib Jameel:
Topics in Contextualised Attention Embeddings. CoRR abs/2301.04339 (2023) - 2022
- [j8]Mahsa Abazari Kia
, Aygul Garifullina
, Mathias Kern
, Jon Chamberlain, Shoaib Jameel:
Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion. IEEE Access 10: 45080-45092 (2022) - [j7]Hamad Zogan
, Imran Razzak
, Xianzhi Wang
, Shoaib Jameel, Guandong Xu
:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - [c44]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. AAAI 2022: 2991-2999 - [i12]Sujit Roy, Gnaneswara Rao Gorle, Vishal Gaur, Haider Raza, Shoaib Jameel:
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. CoRR abs/2201.05651 (2022) - 2021
- [j6]Alberto José Benayas Álamos
, Reyhaneh Hashempour
, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim
:
Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition. IEEE Access 9: 147306-147314 (2021) - [j5]Jun Jason Zhang, Fei-Yue Wang
, Yong Yuan, Guandong Xu
, Huan Liu
, Wei Gao, Shoaib Jameel, Imran Razzak
, Peter W. Eklund
, Sheraz Ahmed, Rui Qin
, Juanjuan Li, Xiao Wang
, De-Nian Yang
, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen
:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j4]Jianlong Zhou
, Hamad Zogan
, Shuiqiao Yang, Shoaib Jameel, Guandong Xu
, Fang Chen
:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. 8(4): 982-991 (2021) - [c43]António Correia
, Benjamim Fonseca
, Hugo Paredes
, Ramon Chaves
, Daniel Schneider, Shoaib Jameel:
Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery. IEEE BigData 2021: 3681-3684 - [c42]Li He, Hongxu Chen
, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c41]António Correia
, Diogo Guimarães
, Dennis Paulino
, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca
, Hugo Paredes
:
AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing. CSCWD 2021: 150-155 - [c40]António Correia
, Dennis Paulino
, Hugo Paredes
, Benjamim Fonseca
, Shoaib Jameel, Daniel Schneider, Jano Moreira de Souza:
Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019. CSCWD 2021: 311-316 - [c39]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-Shot Image Classification with Multi-Facet Prototypes. ICASSP 2021: 1740-1744 - [c38]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. ICMR 2021: 367-375 - [c37]Hamad Zogan
, Imran Razzak
, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - [c36]Elena Barry, Shoaib Jameel, Haider Raza
:
Emojional: Emoji Embeddings. UKCI 2021: 312-324 - [i11]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Few-shot Image Classification with Multi-Facet Prototypes. CoRR abs/2102.00801 (2021) - [i10]Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert:
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning. CoRR abs/2105.10195 (2021) - [i9]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media. CoRR abs/2105.10878 (2021) - [i8]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR abs/2109.02398 (2021) - [i7]Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. CoRR abs/2112.01037 (2021) - 2020
- [c35]António Correia
, Shoaib Jameel, Daniel Schneider, Hugo Paredes
, Benjamim Fonseca
:
A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics. IEEE BigData 2020: 2876-2883 - [c34]Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel:
Dynamic Topic Tracker for KB-to-Text Generation. COLING 2020: 2369-2380 - [c33]António Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes:
Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study. HICSS 2020: 1-10 - [c32]António Correia
, Daniel Schneider, Shoaib Jameel, Hugo Paredes
, Benjamim Fonseca
:
Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning. ISDA 2020: 1257-1270 - [i6]Jianlong Zhou
, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. CoRR abs/2007.02325 (2020) - [i5]Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media. CoRR abs/2007.02847 (2020)
2010 – 2019
- 2019
- [c31]Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. AAAI 2019: 6562-6569 - [c30]Shoaib Jameel, Steven Schockaert:
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. ACL (1) 2019: 3319-3328 - [c29]António Correia
, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca
, Hugo Paredes
:
The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study. CSCWD 2019: 129-134 - [c28]José Camacho-Collados
, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert:
A Latent Variable Model for Learning Distributional Relation Vectors. IJCAI 2019: 4911-4917 - [c27]António Correia
, Benjamim Fonseca
, Hugo Paredes
, Daniel Schneider, Shoaib Jameel:
Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains. SMC 2019: 1372-1377 - [c26]António Correia
, Hugo Paredes
, Daniel Schneider, Shoaib Jameel, Benjamim Fonseca
:
Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective. SMC 2019: 4013-4018 - [p1]António Correia
, Shoaib Jameel, Hugo Paredes
, Benjamim Fonseca
, Daniel Schneider:
Hybrid Machine-Crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design Framework. Macrotask Crowdsourcing 2019: 149-161 - 2018
- [c25]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Unsupervised Learning of Distributional Relation Vectors. ACL (1) 2018: 23-33 - [c24]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Relation Induction in Word Embeddings Revisited. COLING 2018: 1627-1637 - 2017
- [c23]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inductive Reasoning about Ontologies Using Conceptual Spaces. AAAI 2017: 4364-4370 - [c22]Shoaib Jameel, Steven Schockaert:
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. CoNLL 2017: 123-133 - [c21]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. SIGIR 2017: 375-384 - [c20]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
MEmbER: Max-Margin Based Embeddings for Entity Retrieval. SIGIR 2017: 783-792 - [i4]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. CoRR abs/1706.07276 (2017) - [i3]Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Probabilistic Relation Induction in Vector Space Embeddings. CoRR abs/1708.06266 (2017) - [i2]Shoaib Jameel, Zied Bouraoui, Steven Schockaert:
Modeling Semantic Relatedness using Global Relation Vectors. CoRR abs/1711.05294 (2017) - 2016
- [c19]Shoaib Jameel, Steven Schockaert:
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. COLING 2016: 1849-1860 - [c18]Shoaib Jameel, Steven Schockaert:
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. ECAI 2016: 1353-1361 - [c17]Pengfei Liu
, Shoaib Jameel, King Keung Wu, Helen M. Meng:
Learning Track Representation and Trends for Conference Analytics. HICSS 2016: 1671-1680 - [c16]Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie
:
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. ICTIR 2016: 251-260 - [c15]Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
:
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. ICTIR 2016: 271-280 - [c14]Steven Schockaert, Shoaib Jameel:
Plausible Reasoning Based on Qualitative Entity Embeddings. IJCAI 2016: 4078-4081 - [i1]Shoaib Jameel, Steven Schockaert:
Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. CoRR abs/1602.05765 (2016) - 2015
- [j3]Shoaib Jameel, Wai Lam, Lidong Bing:
Supervised topic models with word order structure for document classification and retrieval learning. Inf. Retr. J. 18(4): 283-330 (2015) - [j2]Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel:
Adaptive Concept Resolution for document representation and its applications in text mining. Knowl. Based Syst. 74: 1-13 (2015) - [j1]Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel:
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. 33(2): 6:1-6:38 (2015) - [c13]Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie
:
Abstract Venue Concept Detection from Location-Based Social Networks. AIRS 2015: 147-157 - [c12]Shoaib Jameel, Wai Lam, Steven Schockaert
, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM 2015: 103-112 - [c11]Shoaib Jameel, Wai Lam, Lidong Bing:
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. ECIR 2015: 648-659 - [c10]Pengfei Liu
, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng:
Topic modeling for conference analytics. INTERSPEECH 2015: 707-711 - 2014
- [c9]Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu:
Website Community Mining from Query Logs with Two-Phase Clustering. CICLing (2) 2014: 201-212 - 2013
- [c8]Shoaib Jameel, Wai Lam:
A Nonparametric N-Gram Topic Model with Interpretable Latent Topics. AIRS 2013: 74-85 - [c7]Shoaib Jameel, Wai Lam:
An N-Gram Topic Model for Time-Stamped Documents. ECIR 2013: 292-304 - [c6]Shoaib Jameel, Wai Lam:
An unsupervised topic segmentation model incorporating word order. SIGIR 2013: 203-212 - 2012
- [c5]Shoaib Jameel, Xiaojun Qian, Wai Lam:
N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. COLING 2012: 1309-1326 - [c4]Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung:
An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space. JCDL 2012: 351-352 - [c3]Shoaib Jameel, Xiaojun Qian:
An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI. SKG 2012: 39-46 - [c2]Shoaib Jameel, Wai Lam, Xiaojun Qian:
Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion. Web Intelligence 2012: 145-152 - 2011
- [c1]Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan:
An unsupervised ranking method based on a technical difficulty terrain. CIKM 2011: 1989-1992
Coauthor Index

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last updated on 2025-05-02 23:47 CEST by the dblp team
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