73 results
Head and Neck Cancer: United Kingdom National Multidisciplinary Guidelines, Sixth Edition
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- The Journal of Laryngology & Otology / Volume 138 / Issue S1 / April 2024
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- 14 March 2024, pp. S1-S224
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- April 2024
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5 Intraindividual Variability in Processing Speed on Digital Cognitive Assessments Differs by Amyloidosis Status in Cognitively Normal Older Adults
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- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
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- 21 December 2023, pp. 217-218
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White kidney bean extract as a nutraceutical: effects on gut microbiota, alpha-amylase inhibition, and user experiences
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- Gut Microbiome / Volume 4 / 2023
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- 01 June 2023, e8
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Limited Utility of Self-made Oxygen Generators Assembled From Everyday Commodities During the COVID-19 Pandemic
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- Disaster Medicine and Public Health Preparedness / Volume 17 / 2023
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- 12 May 2022, e177
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Characterisation of age and polarity at onset in bipolar disorder
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- The British Journal of Psychiatry / Volume 219 / Issue 6 / December 2021
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- 25 August 2021, pp. 659-669
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- December 2021
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Recognizing spiritual injury in cancer: A case study
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- Palliative & Supportive Care / Volume 20 / Issue 1 / February 2022
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- 20 August 2021, pp. 138-140
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Stress reactivity as a putative mechanism linking childhood trauma with clinical outcomes in individuals at ultra-high-risk for psychosis: Findings from the EU-GEI High Risk Study
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- Epidemiology and Psychiatric Sciences / Volume 30 / 2021
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- 28 May 2021, e40
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The CODATwins Project: The Current Status and Recent Findings of COllaborative Project of Development of Anthropometrical Measures in Twins
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- Twin Research and Human Genetics / Volume 22 / Issue 6 / December 2019
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- 31 July 2019, pp. 800-808
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9 - Adversarial Machine Learning Challenges
- from Part IV - Future Directions in Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 241-252
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5 - Availability Attack Case Study: SpamBayes
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 105-133
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6 - Integrity Attack Case Study: PCA Detector
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 134-164
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Part IV - Future Directions in Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 239-240
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4 - Attacking a Hypersphere Learner
- from Part II - Causative Attacks on Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 69-104
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Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 1-2
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Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019
Acknowledgments
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp xiii-xiv
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3 - A Framework for Secure Learning
- from Part I - Overview of Adversarial Machine Learning
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 29-66
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Appendix D: Full Proofs for Near-Optimal Evasion
- from Part V - Appendixes
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 285-294
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Index
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp 322-325
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List of Symbols
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- Adversarial Machine Learning
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- 14 March 2019
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- 21 February 2019, pp xi-xii
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