39 results
Claros varones de Castilla: Letras. Fernando de Pulgar. Ed. María Isabel de Páiz Hernández y Pedro Martín Baños, and Gonzalo Pontón Gijón. Biblioteca Clásicade la Real Academia Española 14. Madrid: Real Academia Española, 2022. x + 592 pp. €39.90.
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- Renaissance Quarterly / Volume 76 / Issue 4 / Winter 2023
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- 24 January 2024, pp. 1466-1467
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- Winter 2023
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The Trial Innovation Network Liaison Team: building a national clinical and translational community of practice
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- Journal of Clinical and Translational Science / Volume 7 / Issue 1 / 2023
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- 06 November 2023, e249
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Approaches for enhancing the informativeness and quality of clinical trials: Innovations and principles for implementing multicenter trials from the Trial Innovation Network
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- Journal of Clinical and Translational Science / Volume 7 / Issue 1 / 2023
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- 25 May 2023, e131
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An RDoC-based approach to adolescent self-injurious thoughts and behaviors: The interactive role of social affiliation and cardiac arousal
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- Development and Psychopathology , First View
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- 08 March 2023, pp. 1-11
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Balloon dilatation versus surgical valvotomy for congenital aortic stenosis: a propensity score matched study
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- Cardiology in the Young / Volume 31 / Issue 12 / December 2021
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- 16 April 2021, pp. 1984-1990
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35 - Assessment in Educational Settings
- from Part IV - Clinical Assessment in Specific Settings
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- The Cambridge Handbook of Clinical Assessment and Diagnosis
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- 06 December 2019
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- 19 December 2019, pp 485-497
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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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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 67-68
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2 - Background and Notation
- 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 20-28
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