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‘Tortured Phrases’ Detector

Articles matching 5+ tortured phrases or 1+ obvious tortured phrases (e.g., sign to clamor).
The table below thus displays a 3% subset of all articles found with at least one tortured phrase.

📄 Cabanac, G., Labbé, C., & Magazinov, A. (2022). “Bosom peril” is not “breast cancer”: How weird computer-generated phrases help researchers find scientific publishing fraud.
Bulletin of the Atomic Scientists. Online

📄 Cabanac, G., Labbé, C., & Magazinov, A. (2021). Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals.
arXiv preprint. https://doi.org/10.48550/arXiv.2107.06751 (supplementary materials)
▷ Featured in Nature (Else, 2021)

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Last Update

⏰ Last Update: 2025-11-10 at 15:19

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Tortured

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YearDoctypePublisherVenueTitleCitationsAltmetricTipsDescendingTortured PhrasesAssessorPubPeer Users
2023articleSpringer NatureMultimedia Tools and ApplicationsRETRACTED ARTICLE: AI-ciphering techniques for connected vehicular Adhoc networks3165AI calculation • Center i7 • Client Datagram Convention • DDoS assault • DoS assault • GB Smash~3 • Intel Center i7 • Jupyter Journal • K-closest neighbors • Macintosh layer • PC helped demonstrating • abnormality identification • administered learning • arrangement calculation • backing vector machine • backing vector • bogus positive • calculated relapse • choice tree • clog control • counterfeit neural system • counterfeit neural • credulous Bayes • directing convention • disavowal of administration assaults • disavowal of administration • edge esteem • energy proficiency • fake neural organizations • fake neural • fluffy framework • focal Asia • group head (CH) • grouping relapse~5 • guileless Bayes • gullible Bayes • hereditary calculation • hub assault • information mining • information respectability • innocent Bayes • interruption discovery framework • interruption discovery • interruption identification frameworks • interruption recognition • k-implies bunching • keen climate • limited Boltzmann machine • measurable highlights • multi-facet perceptron • neural organization • order and relapse • pernicious hub • refusal of administration • steering convention • strategic relapse • worldwide diary • PC helped AND (be that as it OR on the off chance) • bogus negative AND false negative • bogus positive AND false positive • hyper-boundaries AND hyper-parameters • interruption location AND intrusion detection • profound learning AND deep learning • steering table AND network • working framework AND operating systemCabanacNerita Vitiensis, Encephalartos Friderici-guilielmi, Hoya Camphorifolia
2024proceedingAIP PublishingAIP Conference ProceedingsRemoval of power line interference from ECG signals using machine learning0460Cease Result • ECG flag • PC vision • Restrictive Irregular Field • Stowed away Markov Models • aid vector device • angle plummet • backing vector machine • backing vector • completely associated layer • convolutional brain organization • convolutional profound • counterfeit brain organization • deep gaining knowledge • deep getting to know • deep mastering technique • deep mastering • deep studying • device studying • distinguishing proof • down-examining • exactness accuracy~5 • extricating highlights~20 NOT specular • face acknowledgment • fluffy rationale • gadget mastering • get right of entry to • grouping exactness • heart cadence • help vector machine • hereditary calculation • highlight vector • imaginative and prescient • info layer • long transient memory • machine gaining knowledge • machine gaining • machine getting to know • machine-gaining knowledge of • misfortune capability • mystery layer • pc imaginative and prescient • picture order • pre-handling • profound brain organization • profound convolutional • profound layers • recognizable proof • recurrence scope • repetitive brain organization • sign to commotion • system gaining knowledge of • uncooked ECG • wavelet change • wavelet decay • brain organization AND neural network • neural community AND neural network • profound learning AND deep learning • result layer AND output layer • system mastering AND machine learningCabanacN. H. Wise
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