Zobrazeno 1 - 10
of 990
pro vyhledávání: '"Hilgard, P"'
Autor:
Wojcik, Stefan, Hilgard, Sophie, Judd, Nick, Mocanu, Delia, Ragain, Stephen, Hunzaker, M. B. Fallin, Coleman, Keith, Baxter, Jay
We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contributors annotate misinformation and simultaneously rate the contribution
Externí odkaz:
http://arxiv.org/abs/2210.15723
Autor:
Julia Dietz, Christiana Graf, Christoph P. Berg, Kerstin Port, Katja Deterding, Peter Buggisch, Kai-Henrik Peiffer, Johannes Vermehren, Georg Dultz, Andreas Geier, Florian P. Reiter, Tony Bruns, Jörn M. Schattenberg, Elena Durmashkina, Thierry Gustot, Christophe Moreno, Janina Trauth, Thomas Discher, Janett Fischer, Thomas Berg, Andreas E. Kremer, Beat Müllhaupt, Stefan Zeuzem, Christoph Sarrazin, C. Antoni, A. Teufel, R. Vogelmann, M. Ebert, J. Balavoine, E. Giostra, M. Berning, J. Hampe, T. Boettler, C. Neumann-Haefelin, R. Thimme, A. De Gottardi, A. Rauch, N. Semmo, V. Ellenrieder, M. Gress, A. Herrmann, A. Stallmach, D. Hoffmann, U. Protzer, A. Kodal, M. Löbermann, T. Götze, V. Keitel-Anselmino, C.M. Lange, R. Zachoval, J. Mayerle, A. Maieron, P. Michl, U. Merle, D. Moradpour, J.-P. Chave, M. Muche, H.-J. Epple, M. Müller-Schilling, F. Kocheise, T. Müller, F. Tacke, E. Roeb, J. Rissland, M. Krawczyk, P. Schulze, D. Semela, U. Spengler, J. Rockstroh, C.P. Strassburg, J. Siebler, J. Schulze zur Wiesch, F. Piecha, J. von Felden, S. Jordan, A. Lohse, M. Sprinzl, P. Galle, R. Stauber, B. Strey, W. Steckstor, W. Schmiegel, N.H. Brockmeyer, A. Canbay, C. Trautwein, F. Uschner, J. Trebicka, T. Weber, H. Wedemeyer, M. Cornberg, M. Manns, P. Wietzke-Braun, R. Günther, K. Willuweit, G. Hilgard, H. Schmidt, E. Zizer, J. Backhus, T. Seufferlein, O. Al-Taie, W. Angeli, S. Beckebaum, A. Erhardt, A. Garrido-Lüneburg, H. Gattringer, D. Genné, M. Gschwantler, F. Gundling, S. Hametner, R. Schöfl, S. Haag, H. Heinzow, T. Heyer, C. Hirschi, A. Jussios, S. Kanzler, N. Kordecki, M. Kraus, U. Kullig, S. Wollschläger, L. Magenta, B. Terziroli Beretta-Piccoli, M. Menges, L. Mohr, K. Muehlenberg, C. Niederau, B. Paulweber, A. Petrides, M. Pinkernell, R. Piso, W. Rambach, L. Reinhardt, M. Reiser, B. Riecken, A. Rieke, J. Roth, M. Schelling, P. Schlee, A. Schneider, D. Scholz, E. Schott, M. Schuchmann, U. Schulten-Baumer, A. Seelhoff, A. Stich, F. Stickel, J. Ungemach, E. Walter, A. Weber, H. Wege, T. Winzer, W. Abels, M. Adler, F. Audebert, C. Baermann, E. Bästlein, R. Barth, K. Barthel, W. Becker, J. Behrends, J. Benninger, F. Berger, D. Berzow, T. Beyer, M. Bierbaum, O. Blaukat, A. Bodtländer, G. Böhm, N. Börner, U. Bohr, B. Bokemeyer, H.R. Bruch, D. Bucholz, P. Buggisch, K. Matschenz, J. Petersen, O. Burkhard, N. Busch, C. Chirca, R. Delker, J. Diedrich, M. Frank, M. Diehl, A.O. Tal, M. Schneider, A. Dienethal, P. Dietel, N. Dikopoulos, M. Dreck, F. Dreher, L. Drude, K. Ende, U. Ehrle, K. Baumgartl, F. Emke, R. Glosemeyer, G. Felten, D. Hüppe, J. Fischer, U. Fischer, D. Frederking, B. Frick, G. Friese, B. Gantke, P. Geyer, H.R. Schwind, M. Glas, T. Glaunsinger, F. Goebel, U. Göbel, B. Görlitz, R. Graf, H. Gruber, C. Hartmann, C. Klag, G. Härter, M. Herder, T. Heuchel, S. Heuer, H. Hinrichsen, B. Seegers, K.-H. Höffl, H. Hörster, J.-U. Sonne, W.P. Hofmann, F. Holst, M. Hunstiger, A. Hurst, E. Jägel-Guedes, C. John, M. Jung, B. Kallinowski, B. Kapzan, W. Kerzel, P. Khaykin, M. Klarhof, U. Klüppelberg, Wolfratshausen, K. Klugewitz, B. Knapp, U. Knevels, T. Kochsiek, A. Körfer, A. Köster, M. Kuhn, A. Langekamp, B. Künzig, R. Link, M. Littman, H. Löhr, T. Lutz, P. Gute, G. Knecht, U. Lutz, D. Mainz, I. Mahle, P. Maurer, S. Mauss, C. Mayer, H. Möller, R. Heyne, D. Moritzen, M. Mroß, M. Mundlos, U. Naumann, O. Nehls, K, R. Ningel, A. Oelmann, H. Olejnik, K. Gadow, E. Pascher, A. Philipp, M. Pichler, F. Polzien, R. Raddant, M. Riedel, S. Rietzler, M. Rössle, W. Rufle, A. Rump, C. Schewe, C. Hoffmann, D. Schleehauf, W. Schmidt, G. Schmidt-Heinevetter, J. Schmidtler-von Fabris, L. Schneider, A. Schober, S. Niehaus-Hahn, J. Schwenzer, T. Seidel, G. Seitel, C. Sick, K. Simon, D. Stähler, F. Stenschke, H. Steffens, K. Stein, M. Steinmüller, T. Sternfeld, K. Svensson, W. Tacke, G. Teuber, K. Teubner, J. Thieringer, A. Tomesch, U. Trappe, J. Ullrich, G. Urban, S. Usadel, A. von Lucadou, F. Weinberger, M. Werheid-Dobers, P. Werner, T. Winter, E. Zehnter, A. Zipf
Publikováno v:
JHEP Reports, Vol 6, Iss 7, Pp 101072- (2024)
Background and Aims: Data on the prevalence and characteristics of so-called rare HCV genotypes (GTs) in larger cohorts is limited. This study investigates the frequency of rare GT and resistance-associated substitutions and the efficacy of retreatme
Externí odkaz:
https://doaj.org/article/b3022f1b69714a74840eba3a2ca0a825
Autor:
Mondher Toumi, Jack Wallace, Chari Cohen, Chris Marshall, Helen Kitchen, Jake Macey, Hannah Pegram, Ashley F. Slagle, Robert G. Gish, Qin Ning, Hiroshi Yatsuhashi, Markus Cornberg, Maurizia Brunetto, Florian van Bömmel, Qing Xie, Dee Lee, Noriyuki Habuka, Urbano Sbarigia, Maria Beumont-Mauviel, Angelina Villasis Keever, Yasushi Takahashi, Yiwei Lu, Ao Liu, Qiaoqiao Chen, Tetsuro Ito, Olaf Radunz, Anna Puggina, Gudrun Hilgard, Eric K.H. Chan, Su Wang
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background People with chronic hepatitis B (CHB) commonly experience social and self-stigma. This study sought to understand the impacts of CHB-related stigma and a functional cure on stigma. Methods Adults with CHB with a wide range of age
Externí odkaz:
https://doaj.org/article/847717b9ff4f4e0e964d47ea63825fd7
Autor:
Epstein, Ziv, Foppiani, Nicolò, Hilgard, Sophie, Sharma, Sanjana, Glassman, Elena, Rand, David
Social media platforms are increasingly deploying complex interventions to help users detect false news. Labeling false news using techniques that combine crowd-sourcing with artificial intelligence (AI) offers a promising way to inform users about p
Externí odkaz:
http://arxiv.org/abs/2112.03450
As machine learning models are increasingly used in critical decision-making settings (e.g., healthcare, finance), there has been a growing emphasis on developing methods to explain model predictions. Such \textit{explanations} are used to understand
Externí odkaz:
http://arxiv.org/abs/2106.12563
Counterfactual explanations are emerging as an attractive option for providing recourse to individuals adversely impacted by algorithmic decisions. As they are deployed in critical applications (e.g. law enforcement, financial lending), it becomes im
Externí odkaz:
http://arxiv.org/abs/2106.02666
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable bias
Externí odkaz:
http://arxiv.org/abs/2012.00423
As black box explanations are increasingly being employed to establish model credibility in high-stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generate
Externí odkaz:
http://arxiv.org/abs/2008.05030
Machine learning is a powerful tool for predicting human-related outcomes, from credit scores to heart attack risks. But when deployed, learned models also affect how users act in order to improve outcomes, whether predicted or real. The standard app
Externí odkaz:
http://arxiv.org/abs/2006.11638
As machine learning black boxes are increasingly being deployed in domains such as healthcare and criminal justice, there is growing emphasis on building tools and techniques for explaining these black boxes in an interpretable manner. Such explanati
Externí odkaz:
http://arxiv.org/abs/1911.02508