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5,349 results on '"Klint, Å."'

2. Hilma Af Klint : A Biography

Author

Julia Voss and Julia Voss

Subjects
Women painters--Sweden--Biography, Painters--Sweden--Biography
Abstract

A highly anticipated biography of the enigmatic and popular Swedish painter. The Swedish painter Hilma af Klint (1862–1944) was forty-four years old when she broke with the academic tradition in which she had been trained to produce a body of radical, abstract works the likes of which had never been seen before. Today, it is widely accepted that af Klint was one of the earliest abstract academic painters in Europe. But this is only part of her story. Not only was she a working female artist, she was also an avowed clairvoyant and mystic. Like many of the artists at the turn of the twentieth century who developed some version of abstract painting, af Klint studied Theosophy, which holds that science, art, and religion are all reflections of an underlying life-form that can be harnessed through meditation, study, and experimentation. Well before Kandinsky, Mondrian, and Malevich declared themselves the inventors of abstraction, af Klint was working in a nonrepresentational mode, producing a powerful visual language that continues to speak to audiences today. The exhibition of her work in 2018 at the Guggenheim Museum in New York City attracted more than 600,000 visitors, making it the most-attended show in the history of the institution. Despite her enormous popularity, there has not yet been a biography of af Klint—until now. Inspired by her first encounter with the artist's work in 2008, Julia Voss set out to learn Swedish and research af Klint's life—not only who the artist was but what drove and inspired her. The result is a fascinating biography of an artist who is as great as she is enigmatic.

Published
2022

8. Reise Know-How InselTrip Falster und Lolland mit Marielyst und Møns Klint

Author

Lars Dörenmeier and Lars Dörenmeier

Abstract

Die dänischen Ostseeinseln Falster und Lolland sind seit Jahrzehnten der Inbegriff für kilometerlange, weiße Sandstrände, ländliche Ruhe und nordische Sommerhaus-Gemütlichkeit. Neben der unverfälschten Natur, die sich im Rahmen erlebnisreicher Wander- und Radtouren entdecken lässt, bieten verträumte Küstenstädtchen, historische Herrenhäuser und sehenswerte Museen reichlich Abwechslung. Dieser aktuelle Reiseführer Falster und Lolland mit Marielyst und Möns Klint ist der ideale Begleiter, um alle Seiten der beiden Inseln im dänischen Seeland selbstständig zu entdecken: - Die interessantesten Orte, Sehenswürdigkeiten und Attraktionen ausführlich vorgestellt und bewertet - Die schönsten Strände rund um die Inseln - Die besten Hotspots zum Wind- und Kitesurfen, Tauchen und Angeln - Ausgewählte Anbieter für Segel- und Bootsausflüge sowie weitere Aktivitäten - Inselentdeckung mit Auto und Fahrrad - Fünf Wanderungen und zwei Radtouren für jedermann - Ausflug zur Insel Møn/ Mön - Die ganze Bandbreite der dänischen Küche - Shoppingtipps vom Hofladen bis zur lebendigen Einkaufsmeile - Die prächtigsten Herrenhäuser und Gärten - Die erstaunlichsten Bräuche und Feiern - Besonderheiten der Flora und Fauna - Vom Königsschloss bis zur Zuckerrübe: spannende Tipps, Exkurse und Hintergrundinfos - Ausgesuchte Unterkünfte von Wellnesshotels und Campingplätzen bis zum Ferienhaus in den Dünen - Alle praktischen Infos zu Anreise, Preisen, Touren, Events, Hilfe im Notfall, Verkehrsmitteln, Wetter... - Kleine Sprachhilfe Dänisch mit den wichtigsten Vokabeln für den Reisealltag

Published
2025

19. Klint

Author

Raukas, Anto, Finkl, Charles W., Series Editor, Fairbridge, Rhodes W., Founding Editor, and Makowski, Christopher, editor

Published
2019
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24. Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling study

Author

Nair, Harish, Nohynek, Hanna, Teirlinck, Anne, Bont, Louis, Openshaw, Peter, Pollard, Andrew, Kumar, Veena, Begier, Elizabeth, Janimak, Jim, Hendrix, Jenny, Kramer, Rolf, Sánchez, Alejandro Orrico, Molero, Eva, Johannesen, Caroline Klint, Gideonse, David, Osei-Yeboah, Richard, Lehtonen, Toni, Jollivet, Ombeline, Cohen, Rachel A., Urchueguía-Fornes, Arantxa, Herrero-Silvestre, María, López-Lacort, Mónica, Fischer, Thea K., Heikkinen, Terho, Campbell, Harry, and van Boven, Michiel

Published
2025
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25. Possible scenarios for the spread of mpox outside the endemic focus in Africa

Author

Petersen, Eskild, Hvid, Ulrik, Tomori, Oyewale, Pedersen, Anders Gorm, Wallinga, Jacco, Pebody, Richard, Cenciarelli, Orlando, Aavitsland, Preben, Van Laeken, David, Andreasen, Viggo, Schneider, Uffe, Simonsen, Julia Kinane, Goedknegt, Marlies Jilles Francine, Johannesen, Caroline Klint, Lundgren, Jens D., Koch, Anders, Søborg, Bolette, Ekström, Anna Mia, Nohynek, Hannah, Aarestrup, Frank M., Krause, Tyra G., and Simonsen, Lone

Published
2025
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26. Response of YPM x Ross 708 male broilers to diets containing varying inclusions of phytase, calcium butyrate, and bacitracin methylene disalicylate during the grower and finisher periods–part 2: Intestinal health and physiology

Author

Gulizia, Joseph P., Khalid, Zubair, Terra-Long, Maria T., Vargas, Jose I., Hernandez, Jose R., Pacheco, Wilmer J., Krehling, James T., Macklin, Kenneth S., Dozier, William A., III, McCafferty, Klint W., and Hauck, Ruediger

Published
2025
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35. Neoadjuvant FOLFIRINOX versus upfront surgery for resectable pancreatic head cancer (NORPACT-1): a multicentre, randomised, phase 2 trial

Author

Aahlin, Eirik Kjus, Bratthäll, Charlotte, Halimi, Asif, Hatlevoll, Ingunn, Heby, Margareta, Kokkola, Arto, Kordes, Maximilian, Lindblad, Stina, Lundgren, Linda, Mortensen, Michael Bau, Mortensen, Kim Erlend, Persson, Jan, Rangelova, Elena, Rønne, Elin, Sandvik, Oddvar Mathias, Søreide, Jon Arne, Vilhav, Caroline, Waardal, Kim, Wennerblom, Johanna, Williamsson, Caroline, Yaqub, Sheraz, Labori, Knut Jørgen, Bratlie, Svein Olav, Andersson, Bodil, Angelsen, Jon-Helge, Biörserud, Christina, Björnsson, Bergthor, Bringeland, Erling Audun, Elander, Nils, Garresori, Herish, Grønbech, Jon Erik, Haux, Johan, Hemmingsson, Oskar, Liljefors, Maria Gustafsson, Myklebust, Tor Åge, Nymo, Linn Såve, Peltola, Katriina, Pfeiffer, Per, Sallinen, Ville, Sandström, Per, Sparrelid, Ernesto, Stenvold, Helge, Søreide, Kjetil, Tingstedt, Bobby, Verbeke, Caroline, Öhlund, Daniel, Klint, Leif, Dueland, Svein, and Lassen, Kristoffer

Published
2024
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39. Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy

Author

Yang, Kaiyu, Qinami, Klint, Fei-Fei, Li, Deng, Jia, and Russakovsky, Olga

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Computer vision technology is being used by many but remains representative of only a few. People have reported misbehavior of computer vision models, including offensive prediction results and lower performance for underrepresented groups. Current computer vision models are typically developed using datasets consisting of manually annotated images or videos; the data and label distributions in these datasets are critical to the models' behavior. In this paper, we examine ImageNet, a large-scale ontology of images that has spurred the development of many modern computer vision methods. We consider three key factors within the "person" subtree of ImageNet that may lead to problematic behavior in downstream computer vision technology: (1) the stagnant concept vocabulary of WordNet, (2) the attempt at exhaustive illustration of all categories with images, and (3) the inequality of representation in the images within concepts. We seek to illuminate the root causes of these concerns and take the first steps to mitigate them constructively., Comment: Accepted to FAT* 2020

Published
2019
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40. Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Author

Wang, Zeyu, Qinami, Klint, Karakozis, Ioannis Christos, Genova, Kyle, Nair, Prem, Hata, Kenji, and Russakovsky, Olga

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Computer vision models learn to perform a task by capturing relevant statistics from training data. It has been shown that models learn spurious age, gender, and race correlations when trained for seemingly unrelated tasks like activity recognition or image captioning. Various mitigation techniques have been presented to prevent models from utilizing or learning such biases. However, there has been little systematic comparison between these techniques. We design a simple but surprisingly effective visual recognition benchmark for studying bias mitigation. Using this benchmark, we provide a thorough analysis of a wide range of techniques. We highlight the shortcomings of popular adversarial training approaches for bias mitigation, propose a simple but similarly effective alternative to the inference-time Reducing Bias Amplification method of Zhao et al., and design a domain-independent training technique that outperforms all other methods. Finally, we validate our findings on the attribute classification task in the CelebA dataset, where attribute presence is known to be correlated with the gender of people in the image, and demonstrate that the proposed technique is effective at mitigating real-world gender bias., Comment: To appear in CVPR 2020

Published
2019

45. A dermatologic assessment of 101 mpox (monkeypox) cases from 13 countries during the 2022 outbreak: Skin lesion morphology, clinical course, and scarring

Author

Prasad, Sonya, Galvan Casas, Cristina, Strahan, Alexis G., Fuller, L. Claire, Peebles, Klint, Carugno, Andrea, Leslie, Kieron S., Harp, Joanna L., Pumnea, Teodora, McMahon, Devon E., Rosenbach, Misha, Lubov, Janet E., Chen, Geoffrey, Fox, Lindy P., McMillen, Allen, Lim, Henry W., Stratigos, Alexander J., Cronin, Terrence A., Kaufmann, Mark D., Hruza, George J., French, Lars E., and Freeman, Esther E.

Published
2023
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47. Software Without Memory

Author

Klint, Paul, Campbell-Kelly, Martin, Founding Editor, Alberts, Gerard, Series Editor, Con Diaz, Gerardo, Advisory Editor, Copeland, Jack, Advisory Editor, Hashagen, Ulf, Advisory Editor, Schafer, Valérie, Advisory Editor, Tucker, John V., Advisory Editor, and Groote, Jan Friso, editor

Published
2022
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