Shoaib Jameel

According to our database, Shoaib Jameel authored at least 65 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

IEEE J. Biomed. Health Informatics, April, 2024

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.

Abdullah Alsuhaibani, Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection.

António Correia, Diogo Guimarães, Hugo Paredes, Benjamim Fonseca, Dennis Paulino, Luís Trigo, Pavel Brazdil, Daniel Schneider, Andrea Grover, Shoaib Jameel

IEEE Trans. Hum. Mach. Syst., December, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.

Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen

IEEE Trans. Comput. Soc. Syst., October, 2023

A hybrid human-AI tool for scientometric analysis.

António Correia, Andrea Grover, Shoaib Jameel, Daniel Schneider, Pedro Antunes, Benjamim Fonseca

Artif. Intell. Rev., October, 2023

CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback.

Sujit Roy, Vishal Gaur, Haider Raza, Shoaib Jameel

IEEE Access, 2023

Topics in Contextualised Attention Embeddings.

Mozhgan Talebpour, Alba García Seco de Herrera, Shoaib Jameel

Proceedings of the Advances in Information Retrieval, 2023

2022

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media.

Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu

World Wide Web, 2022

CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures.

Sujit Roy, Gnaneswara Rao Gorle, Vishal Gaur, Haider Raza, Shoaib Jameel

CoRR, 2022

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion.

Mahsa Abazari Kia, Aygul Garifullina, Mathias Kern, Jon Chamberlain, Shoaib Jameel

IEEE Access, 2022

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention.

Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.

Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen

IEEE Trans. Comput. Soc. Syst., 2021

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.

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

IEEE Trans. Comput. Soc. Syst., 2021

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

CoRR, 2021

Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition.

Alberto José Benayas Álamos, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro de Amorim

IEEE Access, 2021

Emojional: Emoji Embeddings.

Elena Barry, Shoaib Jameel, Haider Raza

Proceedings of the Advances in Computational Intelligence Systems, 2021

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.

Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning.

Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Few-Shot Image Classification with Multi-Facet Prototypes.

Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert

Proceedings of the IEEE International Conference on Acoustics, 2021

Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019.

António Correia, Dennis Paulino, Hugo Paredes, Benjamim Fonseca, Shoaib Jameel, Daniel Schneider, Jano Moreira de Souza

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing.

António Correia, Diogo Guimarães, Dennis Paulino, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.

Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery.

António Correia, Benjamim Fonseca, Hugo Paredes, Ramon Chaves, Daniel Schneider, Shoaib Jameel

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media.

Hamad Zogan, Xianzhi Wang, Shoaib Jameel, Guandong Xu

CoRR, 2020

Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning.

António Correia, Daniel Schneider, Shoaib Jameel, Hugo Paredes, Benjamim Fonseca

Proceedings of the Intelligent Systems Design and Applications, 2020

Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study.

António Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Dynamic Topic Tracker for KB-to-Text Generation.

Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics.

António Correia, Shoaib Jameel, Daniel Schneider, Hugo Paredes, Benjamim Fonseca

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Hybrid Machine-Crowd Interaction for Handling Complexity: Steps Toward a Scaffolding Design Framework.

António Correia, Shoaib Jameel, Hugo Paredes, Benjamim Fonseca, Daniel Schneider

Proceedings of the Macrotask Crowdsourcing, 2019

Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective.

António Correia, Hugo Paredes, Daniel Schneider, Shoaib Jameel, Benjamim Fonseca

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Development of a Crowd-Powered System Architecture for Knowledge Discovery in Scientific Domains.

António Correia, Benjamim Fonseca, Hugo Paredes, Daniel Schneider, Shoaib Jameel

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Latent Variable Model for Learning Distributional Relation Vectors.

José Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study.

António Correia, Shoaib Jameel, Daniel Schneider, Benjamim Fonseca, Hugo Paredes

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors.

Shoaib Jameel, Steven Schockaert

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Word Embedding as Maximum A Posteriori Estimation.

Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Relation Induction in Word Embeddings Revisited.

Zied Bouraoui, Shoaib Jameel, Steven Schockaert

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Unsupervised Learning of Distributional Relation Vectors.

Shoaib Jameel, Zied Bouraoui, Steven Schockaert

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Modeling Semantic Relatedness using Global Relation Vectors.

Shoaib Jameel, Zied Bouraoui, Steven Schockaert

CoRR, 2017

Probabilistic Relation Induction in Vector Space Embeddings.

Zied Bouraoui, Shoaib Jameel, Steven Schockaert

CoRR, 2017

Jointly Learning Word Embeddings and Latent Topics.

Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

MEmbER: Max-Margin Based Embeddings for Entity Retrieval.

Shoaib Jameel, Zied Bouraoui, Steven Schockaert

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding.

Shoaib Jameel, Steven Schockaert

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Inductive Reasoning about Ontologies Using Conceptual Spaces.

Zied Bouraoui, Shoaib Jameel, Steven Schockaert

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Plausible Reasoning Based on Qualitative Entity Embeddings.

Steven Schockaert, Shoaib Jameel

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.

Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.

Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie

Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Learning Track Representation and Trends for Conference Analytics.

Pengfei Liu, Shoaib Jameel, King Keung Wu, Helen M. Meng

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning.

Shoaib Jameel, Steven Schockaert

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities.

Shoaib Jameel, Steven Schockaert

Proceedings of the COLING 2016, 2016

2015

Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.

Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel

ACM Trans. Inf. Syst., 2015

Adaptive Concept Resolution for document representation and its applications in text mining.

Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel

Knowl. Based Syst., 2015

Supervised topic models with word order structure for document classification and retrieval learning.

Shoaib Jameel, Wai Lam, Lidong Bing

Inf. Retr. J., 2015

Topic modeling for conference analytics.

Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng

Proceedings of the INTERSPEECH 2015, 2015

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.

Shoaib Jameel, Wai Lam, Lidong Bing

Proceedings of the Advances in Information Retrieval, 2015

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.

Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Abstract Venue Concept Detection from Location-Based Social Networks.

Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie

Proceedings of the Information Retrieval Technology, 2015

2014

Website Community Mining from Query Logs with Two-Phase Clustering.

Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013

An unsupervised topic segmentation model incorporating word order.

Shoaib Jameel, Wai Lam

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

An N-Gram Topic Model for Time-Stamped Documents.

Shoaib Jameel, Wai Lam

Proceedings of the Advances in Information Retrieval, 2013

A Nonparametric N-Gram Topic Model with Interpretable Latent Topics.

Shoaib Jameel, Wai Lam

Proceedings of the Information Retrieval Technology, 2013

2012

Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion.

Shoaib Jameel, Wai Lam, Xiaojun Qian

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

An Unsupervised Technical Readability Ranking Model by Building a Conceptual Terrain in LSI.

Shoaib Jameel, Xiaojun Qian

Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space.

Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability.

Shoaib Jameel, Xiaojun Qian, Wai Lam

Proceedings of the COLING 2012, 2012

2011

An unsupervised ranking method based on a technical difficulty terrain.

Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011