Shoaib Jameel

Orcid: 0000-0001-7534-3313

According to our database1, Shoaib Jameel authored at least 68 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.
IEEE J. Biomed. Health Informatics, April, 2024

NarrationDep: Narratives on Social Media For Automatic Depression Detection.
CoRR, 2024

Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty.
CoRR, 2024

BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction.
CoRR, 2024

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
NLP-Crowdsourcing Hybrid Framework for Inter-Researcher Similarity Detection.
IEEE Trans. Hum. Mach. Syst., December, 2023

Graph-Aware Deep Fusion Networks for Online Spam Review Detection.
IEEE Trans. Comput. Soc. Syst., October, 2023

A hybrid human-AI tool for scientometric analysis.
Artif. Intell. Rev., October, 2023

CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback.
IEEE Access, 2023

Topics in Contextualised Attention Embeddings.
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.
World Wide Web, 2022

CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures.
CoRR, 2022

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion.
IEEE Access, 2022

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
IEEE Trans. Comput. Soc. Syst., 2021

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media.
CoRR, 2021

Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition.
IEEE Access, 2021

Emojional: Emoji Embeddings.
Proceedings of the Advances in Computational Intelligence Systems, 2021

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media.
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.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Few-Shot Image Classification with Multi-Facet Prototypes.
Proceedings of the IEEE International Conference on Acoustics, 2021

Scientometric Research Assessment of IEEE CSCWD Conference Proceedings: An Exploratory Analysis from 2001 to 2019.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

AuthCrowd: Author Name Disambiguation and Entity Matching using Crowdsourcing.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Click-Through Rate Prediction with Multi-Modal Hypergraphs.
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.
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.
CoRR, 2020

Empirical Investigation of the Factors Influencing Researchers' Adoption of Crowdsourcing and Machine Learning.
Proceedings of the Intelligent Systems Design and Applications, 2020

Theoretical Underpinnings and Practical Challenges of Crowdsourcing as a Mechanism for Academic Study.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Dynamic Topic Tracker for KB-to-Text Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Workflow-Based Methodological Framework for Hybrid Human-AI Enabled Scientometrics.
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.
Proceedings of the Macrotask Crowdsourcing, 2019

Towards Hybrid Crowd-AI Centered Systems: Developing an Integrated Framework from an Empirical Perspective.
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.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Latent Variable Model for Learning Distributional Relation Vectors.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The Effect of Scientific Collaboration on CSCW Research: A Scientometric Study.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Word Embedding as Maximum A Posteriori Estimation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Relation Induction in Word Embeddings Revisited.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Unsupervised Learning of Distributional Relation Vectors.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Modeling Semantic Relatedness using Global Relation Vectors.
CoRR, 2017

Probabilistic Relation Induction in Vector Space Embeddings.
CoRR, 2017

Jointly Learning Word Embeddings and Latent Topics.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

MEmbER: Max-Margin Based Embeddings for Entity Retrieval.
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.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Inductive Reasoning about Ontologies Using Conceptual Spaces.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Plausible Reasoning Based on Qualitative Entity Embeddings.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Learning Track Representation and Trends for Conference Analytics.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning.
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.
Proceedings of the COLING 2016, 2016

2015
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.
ACM Trans. Inf. Syst., 2015

Adaptive Concept Resolution for document representation and its applications in text mining.
Knowl. Based Syst., 2015

Supervised topic models with word order structure for document classification and retrieval learning.
Inf. Retr. J., 2015

Topic modeling for conference analytics.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.
Proceedings of the Advances in Information Retrieval, 2015

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Abstract Venue Concept Detection from Location-Based Social Networks.
Proceedings of the Information Retrieval Technology, 2015

2014
Website Community Mining from Query Logs with Two-Phase Clustering.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013
An unsupervised topic segmentation model incorporating word order.
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.
Proceedings of the Advances in Information Retrieval, 2013

A Nonparametric N-Gram Topic Model with Interpretable Latent Topics.
Proceedings of the Information Retrieval Technology, 2013

2012
Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion.
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.
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.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability.
Proceedings of the COLING 2012, 2012

2011
An unsupervised ranking method based on a technical difficulty terrain.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


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