:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Dhanna Singh
Natura:	Recurso digital
Lingua:
Pubblicazione:	Zenodo 2025
Accesso online:	https://doi.org/10.5281/zenodo.18152280
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Email Security: A Real‐Time Machine Learning‐Based Spam Detection System
di: Dharmveer Kumar Yadav, et al.
Pubblicazione: (2024)

Evaluating the Performance of ChatGPT for Spam Email Detection
di: Si, Shijing, et al.
Pubblicazione: (2024)

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models
di: SHirvani, Ghazaleh, et al.
Pubblicazione: (2025)

VBSF: A Visual-Based Spam Filtering Technique for Obfuscated Emails
di: Hossary, Ali, et al.
Pubblicazione: (2025)

ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
di: Koide, Takashi, et al.
Pubblicazione: (2024)

The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
di: Toth, Rebeka, et al.
Pubblicazione: (2025)

Spam Detection in Text Using Machine Learning
di: Boodu Suresh, Mr.E.Sateesh
Pubblicazione: (2025)

EvoMail: Self-Evolving Cognitive Agents for Adaptive Spam and Phishing Email Defense
di: Huang, Wei, et al.
Pubblicazione: (2025)

Zero-Shot Spam Email Classification Using Pre-trained Large Language Models
di: Rojas-Galeano, Sergio
Pubblicazione: (2024)

Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields
di: Jin, Yixin, et al.
Pubblicazione: (2024)

Evaluating Human and Machine Confidence in Phishing Email Detection: A Comparative Study
di: Jain, Paras, et al.
Pubblicazione: (2026)

GCC-Spam: Spam Detection via GAN, Contrastive Learning, and Character Similarity Networks
di: Wang, Zhijie, et al.
Pubblicazione: (2025)

A Comparison of Traditional Machine Learning Algorithms and LSTM-Based Deep Learning Models for Email Sentiment Analysis
di: Saragih, Virdio Samuel, et al.
Pubblicazione: (2026)

Spam Detection Using BERT
di: Sahmoud, Thaer, et al.
Pubblicazione: (2022)

Investigating the Effectiveness of Bayesian Spam Filters in Detecting LLM-modified Spam Mails
di: Josten, Malte, et al.
Pubblicazione: (2024)

SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
di: Li, Yekai, et al.
Pubblicazione: (2024)

Multilingual Email Phishing Attacks Detection using OSINT and Machine Learning
di: An, Panharith, et al.
Pubblicazione: (2025)

Context-Aware Phishing Email Detection Using Machine Learning and NLP
di: Chakravorty, Amitabh, et al.
Pubblicazione: (2026)

Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
di: Adjei, Yaw Osei, et al.
Pubblicazione: (2025)

StarveSpam: Mitigating Spam with Local Reputation in Permissionless Blockchains
di: Chotkan, Rowdy, et al.
Pubblicazione: (2025)

Building an Intelligent Phishing Email Detection System Using Machine Learning and Feature Engineering
di: Chinta, Purna Chandra Rao, et al.
Pubblicazione: (2025)

Signed Latent Factors for Spamming Activity Detection
di: Liu, Yuli
Pubblicazione: (2022)

Data Quality in Crowdsourcing and Spamming Behavior Detection
di: Ba, Yang, et al.
Pubblicazione: (2024)

Phishing Email Detector An Interactive NLP-Based Demo for Email Threat Detection
di: Giulia, Casaldi
Pubblicazione: (2025)

Enhancing Personalized Email Generation and Engagement Using Machine Learning
di: Abhinav Bharwaj, et al.
Pubblicazione: (2025)

majedmolhi/SMS-Spam-Detection-PSO: SMS Spam Detection Using PSO-Based Feature Selection v1.0.0
di: Majed Molhi
Pubblicazione: (2026)

X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
di: Zhang, Qi, et al.
Pubblicazione: (2026)

A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
di: Wendlinger, Maximilian, et al.
Pubblicazione: (2024)

An Investigation of Large Language Models and Their Vulnerabilities in Spam Detection
di: Tang, Qiyao, et al.
Pubblicazione: (2025)

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
di: Shukla, Sachin, et al.
Pubblicazione: (2024)

A Comprehensive Analysis of Adversarial Attacks against Spam Filters
di: Hotoğlu, Esra, et al.
Pubblicazione: (2025)

Methodology for Comparing Machine Learning Algorithms for Survival Analysis
di: Cardoso, Lucas Buk, et al.
Pubblicazione: (2025)

Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches
di: Prajuli, Sachin, et al.
Pubblicazione: (2026)

Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews
di: Khatun, Mst Eshita, et al.
Pubblicazione: (2025)

Network and Sentiment Analysis of Enron Emails
di: Belay, Natnael
Pubblicazione: (2024)

Machine Learning Algorithms for Detecting Mental Stress in College Students
di: Singh, Ashutosh, et al.
Pubblicazione: (2024)

Comparative Study of Machine Learning Algorithms in Detecting Cardiovascular Diseases
di: K, Dayana, et al.
Pubblicazione: (2024)

The Express Lane to Spam and Centralization: An Empirical Analysis of Arbitrum's Timeboost
di: Messias, Johnnatan, et al.
Pubblicazione: (2025)

Clues in Tweets: Twitter-Guided Discovery and Analysis of SMS Spam
di: Tang, Siyuan, et al.
Pubblicazione: (2022)

Classical Machine Learning: Seventy Years of Algorithmic Learning Evolution
di: Ezugwu, Absalom E., et al.
Pubblicazione: (2024)