Häftad, Engelska, 2016
149 kr
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Ricardo Cruz – författare
Visar alla böcker från författaren Ricardo Cruz. Handla med fri frakt och snabb leverans.
7 produkter
7 produkter
- Inbunden, Engelska, 2016
295 kr
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- E-bokEngelska, 2016
52 kr
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"The Lost Letters" are the accounts of an ensemble of characters within the four kingdoms: Halyx, Eryx, Venidenn and Thayd. Four rich and diverse lands separated by great walls of solid bronze. At the epicenter of these walls, lies a mysterious golden land, believed to be uninhabitable and shining brightly at all times of the day. Our story begins at the All-Festival, a union of the four kings and their respective kingdoms. One of these, the great king Arsinoe, becomes obsessed with the wonder of the golden lands. In a selfish moment of adventure, he scales the wall to find the unexpected and unravels his own perspective about the truth beyond the wall. As time goes on, the world begins to take a dark turn, and our eyes are opened to the manifestations of corruption, scandal and even the supernatural. "The Lost Letters" sheds light on the first decisions of man. As a rebellion breaks, who is rebelling will be called in to question. - E-bokEngelska, 2022
179 kr
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Day of the Zoo exposes the evil corruption between law and order and how the police are animals with handling the public. They treat the public with brutality like engaged animals in a zoo. This leads to civil unrest and leads the criminal minds to homeland terrorism, with no comfort for the victims of police misconduct and abuse of power within the ranks of the NYPD. This then leads to the birth of homegrown terrorists in the Bronx, New York.
- Del 12446 - Lecture Notes in Computer Science
Interpretable and Annotation-Efficient Learning for Medical Image Computing
Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
Häftad, Engelska, 2020546 kr
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This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. 710 kr
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This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.
The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.
- E-bokPDF, Spanska, 2021
80 kr
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Recordar, conocer y reconocer la guerra con las antiguas FARC-EP es un ejercicio necesario para la reparación de las comunidades más afectadas y para la reconciliación política más ampliamente considerada. Con ese objetivo, hemos preparado este informe sobre las tomas armadas de pueblos en el Tolima, quizás el teatro de la guerra de más larga duración en la historia del conflicto armado con esa guerrilla. A partir de una investigación y un relato de índole periodística, ofrecemos a un público no especializado una reconstrucción histórica de las tomas guerrilleras como práctica de guerra y su papel en el plan que se habían trazado las FARC para la toma del poder. Este análisis de "las tomas para la toma del poder" lo acompañamos, además, de argumentos socio-jurídicos para que, con fines restaurativos, eventualmente la Jurisdicción Especial para la Paz juzgue este patrón de conducta.
