{"product_id":"bayer-markus-deep-learning-in-textual-low-data-regimes-for-cybersecurity-9783658487775","title":"Deep Learning in Textual Low-Data Regimes for Cybersecurity","description":"Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.- ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios.- A Survey on Data Augmentation for Text Classification.- Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers.- Design and Evaluation of Deep Learning Models for Real-Time Credibility Assessment in Twitter.- CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain.- Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence.- XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation.","brand":"Springer Vieweg","offers":[{"title":"Default Title","offer_id":53742970077526,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/bayer-markus-deep-learning-in-textual-low-data-regimes-for-cybersecurity-9783658487775","provider":"momoxbooks","version":"1.0","type":"link"}