Results 61 to 70 of about 2,780,368 (218)
Exploiting Machine Learning to Subvert Your Spam Filter [PDF]
, 2008 Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical machine learning, as used in the SpamBayes spam filter, to render it useless—
Nelson, Blaine +8 more
core
Spam on the Internet: can it be eradicated or is it here to stay? [PDF]
, 2004 A discussion of the rise in unsolicited bulk e-mail, its effect on tertiary education, and some of the methods being used or developed to combat it. Includes an examination of block listing, protocol change, economic and computational solutions, e-mail ...
Levene, Mark, de Freitas, Sara
core +4 more sources
Towards eradication of SPAM: A study on intelligent adaptive SPAM filters [PDF]
, 2006 As the massive increase of electronic mail (email) usage continues, SPAM (unsolicited bulk email), has continued to grow because it is a very inexpensive method of advertising.
Hassan, Tarek
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ML-Based SMS Messaging Spam Detection: Impacts of Text Feature Extraction Techniques
Journal of Cybersecurity and PrivacySpam detection on SMS messaging has not received as much attention from researchers recently as the spam detection studies on emails or social media platforms. However, spam SMS messaging can be more intrusive, annoying, and harmful.
Ahmad Ababneh, Maram Bani Younes
doaj +1 more source
LABOUR, EarlyView.ABSTRACT Advances in artificial intelligence (AI) and robotics since 2000 led to widespread concern that automation would eliminate a massive number of jobs. Frey and Osborne's influential study concluded AI and robots might eliminate nearly half of all US jobs between 2010 and 2030.
Michael J. Handel
wiley +1 more source
Enhanced Spam detection in SMS Communication Using Machine Learning and NLP Techniques
Sir Syed University Research Journal of Engineering and TechnologyUnwanted Spam communications spread over a variety of electronic means are harmful. Malicious communications delivered to numerous individuals on various channels without their consent can be dangerous as they commonly include links and unsolicited ...
Rubina Shaheen +3 more
doaj +1 more source
Development and validation of the felt safeness in the therapeutic relationship questionnaire
Psychology and Psychotherapy: Theory, Research and Practice, EarlyView.Abstract Objective To develop and evaluate the Felt Safeness in the Therapeutic Relationship Questionnaire (FSTRQ), a novel measure of someone's sense of social safeness within the therapeutic relationship. Method 226 participants completed online questionnaires including FSTRQ and measures of overall social safeness, therapeutic alliance, positive ...
Emily Hesselink, Jasmin Langdon‐Daly
wiley +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1247-1270, October 2026.Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Spam Spyder (Spam Detection using MI & AI) [PDF]
Spam emails and messages are a major problem for both users and organizations in the digital era. With the help of machine learning techniques and the Spyder Integrated Development Environment (IDE), this project seeks to create a reliable spam detection
Dnyaneshwari, Chafle +4 more
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If You Really Want to Know How AI Is Changing Peer Review Talk to Early Career Researchers
Learned Publishing, Volume 39, Issue 4, October 2026.ABSTRACT The Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (H1 c.2016), then pandemic change (H2 c2020) and is now investigating yet another: artificial intelligence (H3 2024–).
David Nicholas +9 more
wiley +1 more source