Zobrazeno 1 - 10
of 566
pro vyhledávání: '"Miller, Chris P."'
Autor:
Nevado-Holgado, Alejo, Espie, Colin, Liakata, Maria, Henry, Alasdair, Gu, Jenny, Taylor, Niall, Saunders, Kate, Walker, Tom, Miller, Chris
SleepioTM is a digital mobile phone and web platform that uses techniques from cognitive behavioural therapy (CBT) to improve sleep in people with sleep difficulty. As part of this process, Sleepio captures data about the sleep behaviour of the users
Externí odkaz:
http://arxiv.org/abs/2208.00033
Autor:
Rich, Evan A., Monnier, John D., Aarnio, Alicia, Laws, Anna S. E., Setterholm, Benjamin R., Wilner, David J., Calvet, Nuria, Harries, Tim, Miller, Chris, Davies, Claire L., Adams, Fred C., Andrews, Sean M., Bae, Jaehan, Espaillat, Catherine, Greenbaum, Alexandra Z., Hinkley, Sasha, Kraus, Stefan, Hartmann, Lee, Isella, Andrea, McClure, Melissa, Oppenheimer, Rebecca, Pérez, Laura M., Zhu, Zhaohuan
We present the complete sample of protoplanetary disks from the Gemini- Large Imaging with GPI Herbig/T-tauri Survey (Gemini-LIGHTS) which observed bright Herbig Ae/Be stars and T-Tauri stars in near-infrared polarized light to search for signatures
Externí odkaz:
http://arxiv.org/abs/2206.05815
Humans can perform unseen tasks by recalling relevant skills acquired previously and then generalizing them to the target tasks, even if there is no supervision at all. In this paper, we aim to improve this kind of cross-task generalization ability o
Externí odkaz:
http://arxiv.org/abs/2204.07937
Autor:
Yarlott, W. Victor H., Ochoa, Armando, Acharya, Anurag, Bobrow, Laurel, Estrada, Diego Castro, Gomez, Diana, Zheng, Joan, McDonald, David, Miller, Chris, Finlayson, Mark A.
Motifs are distinctive recurring elements found in folklore that have significance as communicative devices in news, literature, press releases, and propaganda. Motifs concisely imply a large constellation of culturally-relevant information, and thei
Externí odkaz:
http://arxiv.org/abs/2204.06085
Autor:
Zanutta, Alessio, Cristiani, Stefano, Atkinson, David, Baldini, Veronica, Balestra, Andrea, Barbuy, Beatriz, Macanhan, Vanessa Bawden P., Calcines, Ariadna, Calderone, Giorgio, Case, Scott, Castilho, Bruno V., Cescutti, Gabriele, Cirami, Roberto, Coretti, Igor, Covino, Stefano, Cupani, Guido, De Caprio, Vincenzo, Dekker, Hans, Di Marcantonio, Paolo, D'Odorico, Valentina, Ernandes, Heitor, Evans, Chris, Feger, Tobias, Feiz, Carmen, Franchini, Mariagrazia, Genoni, Matteo, Gneiding, Clemens D., Kaluszynski, Mikolaj, Landoni, Marco, Lawrence, Jon, Lunney, David, Miller, Chris, Molaverdikhani, Karan, Opitom, Cyrielle, Pariani, Giorgio, Piranomonte, Silvia, Quirrenbach, Andreas, Redaelli, Edoardo Maria Alberto, Riva, Marco, Robertson, David, Rossi, Silvia, Rothmaier, Florian, Seifert, Walter, Smiljanic, Rodolfo, Sturmer, Julian, Stilz, Ingo, Trost, Andrea, Verducci, Orlando, Waring, Chris, Watson, Stephen, Wells, Martyn, Xu, Wenli, Zafar, Tayyaba, Zorba, Sonia
We present the baseline conceptual design of the Cassegrain U-Band Efficient Spectrograph (CUBES) for the Very Large Telescope. CUBES will provide unprecedented sensitivity for spectroscopy on a 8 - 10 m class telescope in the ground ultraviolet (UV)
Externí odkaz:
http://arxiv.org/abs/2203.15352
Autor:
Miller, Chris, Vosoughi, Soroush
Relation and event extraction is an important task in natural language processing. We introduce a system which uses contextualized knowledge graph completion to classify relations and events between known entities in a noisy text environment. We repo
Externí odkaz:
http://arxiv.org/abs/2012.04538
Autor:
Miller, Chris P., Fung, Megan, Jaeger-Ruckstuhl, Carla A., Xu, Yuexin, Warren, Edus H., Akilesh, Shreeram, Tykodi, Scott S.
Publikováno v:
In Neoplasia December 2023 46
We initiate an investigation of structures on the set of real numbers having the property that path components of definable sets are definable. All o\nobreakdash-\hspace{0pt}minimal structures on $(\mathbb{R},<)$ have the property, as do all expansio
Externí odkaz:
http://arxiv.org/abs/2011.14833
Autor:
Miller, Chris, Vosoughi, Soroush
Deep neural networks are vulnerable to adversarial examples -- minor perturbations added to a model's input which cause the model to output an incorrect prediction. We introduce a new method for improving the efficacy of adversarial attacks in a blac
Externí odkaz:
http://arxiv.org/abs/2007.00806