Browse by Goldsmiths authors: Kumar, Akshi

Item Type Date No Grouping

Article

DynaMentA: Dynamic Prompt Engineering and Weighted Transformer Architecture for Mental Health Classification using Social Media Data. (2025) Kumar, Akshi; Sharma, Aditi and Sangwan, Saurabh Raj picture_as_pdf

SENS-HEAD: A Machine Learning Framework for Sensationalism Detection in News Headlines Using Linguistic and Semantic Features. (2025) Chang, Po-Hsuan; Kumar, Akshi and Sangwan, Saurabh Raj picture_as_pdf

Next-Generation Healthcare: Digital Twin Technology and Monkeypox Skin Lesion Detector Network Enhancing Monkeypox Detection - Comparison with Pre-trained Models. (2025) Sharma, Vikas; Kumar, Akshi and Sharma, Kapil picture_as_pdf

Digital Twin: Securing IoT-Networks using integrated ECC with Blockchain for Healthcare Ecosystem. (2025) Sharma, Vikas; Kumar, Akshi and Sharma, Kapil picture_as_pdf

BioBERT-RxReadmit: Improving Hospital Readmission Predictions Through Clinical Text Analysis with BioBERT. (2025) Kumar, Akshi; Malla, Jyothi and Sharma, Aditi

AI Unveiled Personalities: Profiling Optimistic and Pessimistic Attitudes in Hindi Dataset using Transformer-based Models. (2025) Jain, Dipika and Kumar, Akshi

EmoMBTI-Net: introducing and leveraging a novel emoji dataset for personality profiling with large language models. (2024) Kumar, Akshi and Jain, Dipika

Hyper-personalized employment in urban hubs: multimodal fusion architectures for personality-based job matching. (2024) Jain, Dipika; Sangwan, Saurabh Raj and Kumar, Akshi

Resp-BoostNet: Mental Stress Detection from Biomarkers Measurable by Smartwatches using Boosting Neural Network Technique. (2024) Kumar, Sanjay; Chauhan, Anshuman Raj; Akhil; Kumar, Akshi and Yang, Guang

Digital twin application in women’s health: Cervical cancer diagnosis with CervixNet. (2024) Sharma, Vikas; Kumar, Akshi and Sharma, Kapil picture_as_pdf

Am I hurt?: Evaluating Psychological Pain Detection in Hindi Text using Transformer-based Models. (2024) Kaur, Ravleen; Bhatia, MPS and Kumar, Akshi

HindiPersonalityNet: Personality Detection in Hindi Conversational Data using Deep Learning with Static Embedding. (2024) Kumar, Akshi; Jain, Dipika and Beniwal, Rohit

OptNet-Fake: Fake News Detection in Socio-cyber platforms using Grasshopper Optimization and Deep Neural Network. (2024) Kumar, Sanjay; Kumar, Akshi; Mallik, Abhishek and Singh, Rishi Ranjan

HumourHindiNet: Humour detection in Hindi web series using word embedding and convolutional neural network. (2024) Kumar, Akshi; Mallik, Abhishek and Kumar, Sanjay

Advancements in Personality Detection: Unleashing the Power of Transformer-Based Models and Deep Learning with Static Embeddings on English Personality Quotes. (2024) Jain, Dipika; Beniwal, Rohit and Kumar, Akshi

Conceptualizing AI Literacy: Educational and Policy Initiatives for a Future-Ready Society. (2024) Kumar, Akshi and Sangwan, Saurabh Raj

Framework for Personalized Chronic Pain Management: Harnessing AI and Personality Insights for Effective Care. (2024) Kumar, Akshi; Seewal, Rahul; Jain, Dipika and Kaur, Ravleen

DREAM: Deep Learning-Based Recognition of Emotions from Multiple Affective Modalities Using Consumer-Grade Body Sensors and Video Cameras. (2024) Sharma, Aditi and Kumar, Akshi

CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. (2024) Rani, Somiya; Jain, Amita; Kumar, Akshi and Yang, Guang

Modified node2vec and attention based fusion framework for next POI recommendation. (2024) Kumar, Akshi; Jain, Deepak Kumar; Mallik, Abhishek and Kumar, Sanjay

TLP-NEGCN: Temporal Link Prediction via Network Embedding and Graph Convolutional Networks. (2024) Kumar, Akshi; Mallik, Abhishek and Kumar, Sanjay

SIRA: A Model for Propagation and Rumor Control with Epidemic Spreading and Immunization for Healthcare 5.0. (2023) Kumar, Akshi; Aggarwal, Nipun and Kumar, Sanjay picture_as_pdf

Book

Language Intelligence: Expanding Frontiers in Natural Language Processing. (2025) Kumar, Akshi

Conference or Workshop Item

From Large to Small: The Rise of Small Language Models (SLMs) in Text Analytics. (2025) Kumar, Akshi picture_as_pdf

Generative AI and Information Fabrication: NLP Techniques for Truth and Trust. (2024) Kumar, Akshi desktop_windows

Transforming Society with Natural Language Processing: The Power of Language Technology in Social Impact. (2024) Kumar, Akshi

AI and Digital Twins Transforming Healthcare IoT. (2024) Sharma, Vikas; Sharma, Kapil and Kumar, Akshi

Digital

Opportunities and Risks of using social media data to intervene and prevent youth violence. (2024) Kumar, Akshi desktop_windows

Edited Book

Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications. (2025) picture_as_pdf

Professional Activity

Steering Group Member, Mayor of London’s Violence Reduction Unit Research into Online Harms. (2024) Kumar, Akshi

Consultation Response: Ofcom’s three-year media literacy strategy. (2024) Kumar, Akshi

Project

ExplainED: Enhancing Feedback Precision in Education Using NLP and Explainable AI. (2025) Kumar, Akshi picture_as_pdf

NLP-Powered Job Matching for Blue-Collar Workers. (2024) Kumar, Akshi picture_as_pdf

Report

Written Evidence to the Science, Innovation and Technology Committee Inquiry on Social media, misinformation and harmful algorithms. (2025) Kumar, Akshi

Written Evidence to the House of Commons Public Accounts Committee inquiry on Use of artificial intelligence in government. (2024) Kumar, Akshi

Written Evidence to the House of Lords Communications and Digital Committee Inquiry on The Future of News: Impartiality, Trust, and Technology. (2024) Kumar, Akshi

Guarding the UK's Critical Infrastructure: The Rumour Challenge in Cyber Resilience. (2023) Kumar, Akshi

Other

UK Parliament POSTnote Contribution: AI and Mental Healthcare: Ethical and Regulatory Considerations. (2025) Kumar, Akshi

UK Parliament POSTnote Contribution: AI and Mental Healthcare: Opportunities and Delivery Considerations. (2025) Kumar, Akshi