Usman Naseem

Orcid: 0000-0003-0191-7171

According to our database1, Usman Naseem authored at least 110 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min., December, 2024

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Doc-KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata.
Expert Syst. J. Knowl. Eng., September, 2024

Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media.
IEEE Trans. Comput. Soc. Syst., August, 2024

Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition.
IEEE J. Biomed. Health Informatics, July, 2024

K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics, April, 2024

Medical Question Summarization with Entity-driven Contrastive Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2024

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing, 2024

PersoBench: Benchmarking Personalized Response Generation in Large Language Models.
CoRR, 2024

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework.
CoRR, 2024

Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings.
CoRR, 2024

Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging.
CoRR, 2024

An Experimental Comparison of Transfer Learning against Self-supervised Learning.
CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR, 2024

Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models.
CoRR, 2024

Enhancing Textbook Question Answering Task with Large Language Models and Retrieval Augmented Generation.
CoRR, 2024

MSynFD: Multi-hop Syntax Aware Fake News Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection.
Proceedings of the ACM on Web Conference 2024, 2024

Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Decoding Memes: A Comprehensive Analysis of Late and Early Fusion Models for Explainable Meme Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MultiHateClip: A Multilingual Benchmark Dataset for Hateful Video Detection on YouTube and Bilibili.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Vaccine Misinformation Detection in X using Cooperative Multimodal Framework.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Analyzing the Dynamics of Climate Change Discourse on Twitter: A New Annotated Corpus and Multi-Aspect Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024

Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024.
Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2024

2023
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.
BMC Bioinform., December, 2023

Arabic text detection: a survey of recent progress challenges and opportunities.
Appl. Intell., December, 2023

RHMD: A Real-World Dataset for Health Mention Classification on Reddit.
IEEE Trans. Comput. Soc. Syst., October, 2023

WETM: A word embedding-based topic model with modified collapsed Gibbs sampling for short text.
Pattern Recognit. Lett., August, 2023

Explainable hybrid word representations for sentiment analysis of financial news.
Neural Networks, July, 2023

Vision-Language Transformer for Interpretable Pathology Visual Question Answering.
IEEE J. Biomed. Health Informatics, April, 2023

Robust Identification of Figurative Language in Personal Health Mentions on Twitter.
IEEE Trans. Artif. Intell., April, 2023

Analyzing the Public Opinion as a Guide for Renewable-Energy Status in Malaysia: A Case Study.
IEEE Trans. Engineering Management, 2023

Artificial Intelligence Based Sentence Level Sentiment Analysis of COVID-19.
Comput. Syst. Sci. Eng., 2023

Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines.
CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.
CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.
CoRR, 2023

Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse.
IEEE Access, 2023

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Incorporating Embedding to Topic Modeling for More Effective Short Text Analysis.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Coherent Topic Modeling for Creative Multimodal Data on Social Media.
Proceedings of the ACM Web Conference 2023, 2023

Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Identifying Creative Harmful Memes via Prompt based Approach.
Proceedings of the ACM Web Conference 2023, 2023


A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

LowResContextQA at Qur'an QA 2023 Shared Task: Temporal and Sequential Representation Augmented Question Answering Span Detection in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

DialectNLU at NADI 2023 Shared Task: Transformer Based Multitask Approach Jointly Integrating Dialect and Machine Translation Tasks in Arabic.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

KnowTellConvince at ArAIEval Shared Task: Disinformation and Persuasion Detection in Arabic using Similar and Contrastive Representation Alignment.
Proceedings of ArabicNLP 2023, Singapore (Hybrid), December 7, 2023, 2023

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images.
Proceedings of the Cancer Prevention Through Early Detection, 2023

Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Temporally Dynamic Session-Keyword Aware Sequential Recommendation System.
Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Causal Intervention for Abstractive Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prompting Large Language Models for Topic Modeling.
Proceedings of the IEEE International Conference on Big Data, 2023

Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques.
Int. J. Hum. Comput. Stud., 2022

An Approach to Ensure Fairness in News Articles.
CoRR, 2022

Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model.
CoRR, 2022

A Summary of COVID-19 Datasets.
CoRR, 2022

A novel multiple kernel fuzzy topic modeling technique for biomedical data.
BMC Bioinform., 2022

Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT.
BMC Bioinform., 2022

Travel behaviour prediction amid covid-19 underlaying situational awareness theory and health belief model.
Behav. Inf. Technol., 2022

Newly-Published Paper Recommendation With a Joint Multi-Relational Model.
IEEE Access, 2022

An Automatic Detection of Breast Cancer Diagnosis and Prognosis Based on Machine Learning Using Ensemble of Classifiers.
IEEE Access, 2022

Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Incorporating Accuracy and Diversity in a News Recommender System.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

A Side Information Enhanced Matrix Factorization Approach via Hierarchical Generalized Linear Model.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Accuracy meets Diversity in a News Recommender System.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation.
Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis.
IEEE Trans. Comput. Soc. Syst., 2021

A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter.
Multim. Tools Appl., 2021

Fuzzy mixed graphs and its application to identification of COVID19 affected central regions in India.
J. Intell. Fuzzy Syst., 2021

The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges.
Trans. Emerg. Telecommun. Technol., 2021

Text Mining of Stocktwits Data for Predicting Stock Prices.
CoRR, 2021

Balanced News Neural Network for a News Recommender System.
Proceedings of the 2021 International Conference on Data Mining, 2021

BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU.
Proceedings of the International Joint Conference on Neural Networks, 2021

Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Performance Evaluation of Next-Generation Wireless (5G) UAV Relay.
Wirel. Pers. Commun., 2020

Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis.
Future Gener. Comput. Syst., 2020

UAV-aided 5G Network in Suburban, Urban, Dense Urban, and High-rise Urban Environments.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Biomedical Named-Entity Recognition by Hierarchically Fusing BioBERT Representations and Deep Contextual-Level Word-Embedding.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Detecting Alzheimer's Disease by Exploiting Linguistic Information from Nepali Transcript.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Classification of Neuroblastoma Histopathological Images Using Machine Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Deep AutoEncoder-Decoder Framework for Semantic Segmentation of Brain Tumor.
Aust. J. Intell. Inf. Process. Syst., 2019

Nuclear Norm Minimization in Frequency Domain for Complex Noise.
Aust. J. Intell. Inf. Process. Syst., 2019

Deep Context-Aware Embedding for Abusive and Hate Speech detection on Twitter.
Aust. J. Intell. Inf. Process. Syst., 2019

DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Hybrid Words Representation for Airlines Sentiment Analysis.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019


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