Zobrazeno 1 - 10
of 6 340
pro vyhledávání: '"P, Kalina"'
Autor:
Srba, Ivan, Razuvayevskaya, Olesya, Leite, João A., Moro, Robert, Schlicht, Ipek Baris, Tonelli, Sara, García, Francisco Moreno, Lottmann, Santiago Barrio, Teyssou, Denis, Porcellini, Valentin, Scarton, Carolina, Bontcheva, Kalina, Bielikova, Maria
In the current era of social media and generative AI, an ability to automatically assess the credibility of online social media content is of tremendous importance. Credibility assessment is fundamentally based on aggregating credibility signals, whi
Externí odkaz:
http://arxiv.org/abs/2410.21360
Autor:
Mehta, Vihang, Rafelski, Marc, Sunnquist, Ben, Teplitz, Harry I., Scarlata, Claudia, Wang, Xin, Fontana, Adriano, Hathi, Nimish P., Iyer, Kartheik G., Alavi, Anahita, Colbert, James, Grogin, Norman, Koekemoer, Anton, Nedkova, Kalina V., Hayes, Matthew, Prichard, Laura, Siana, Brian, Smith, Brent M., Windhorst, Rogier, Ashcraft, Teresa, Bagley, Micaela, Baronchelli, Ivano, Barro, Guillermo, Blanche, Alex, Broussard, Adam, Carleton, Timothy, Chartab, Nima, Codoreanu, Alex, Cohen, Seth, Conselice, Christopher, Dai, Y. Sophia, Darvish, Behnam, Dave, Romeel, DeGroot, Laura, De Mello, Duilia, Dickinson, Mark, Emami, Najmeh, Ferguson, Henry, Ferreira, Leonardo, Finkelstein, Keely, Finkelstein, Steven, Gardner, Jonathan P., Gawiser, Eric, Gburek, Timothy, Giavalisco, Mauro, Grazian, Andrea, Gronwall, Caryl, Guo, Yicheng, Haro, Pablo Arrabal, Hemmati, Shoubaneh, Howell, Justin, Jansen, Rolf A., Ji, Zhiyuan, Kaviraj, Sugata, Kim, Keunho J., Kurczynski, Peter, Lazar, Ilin, Lucas, Ray A., MacKenty, John, Mantha, Kameswara Bharadwaj, Martin, Alec, Martin, Garreth, McCabe, Tyler, Mobasher, Bahram, Morales, Alexa M., O'Connell, Robert, Olsen, Charlotte, Otteson, Lillian, Ravindranath, Swara, Redshaw, Caleb, Rutkowski, Michael, Robertson, Brant, Sattari, Zahra, Soto, Emmaris, Sun, Lei, Taamoli, Sina, Vanzella, Eros, Yung, L. Y. Aaron, Zabelle, Bonnabelle
The UltraViolet imaging of the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey Fields (UVCANDELS) program provides deep HST F275W and F435W imaging over four CANDELS fields (GOODS-N, GOODS-S, COSMOS, and EGS). We combine this newly acq
Externí odkaz:
http://arxiv.org/abs/2410.16404
In his study of graph codes, Alon introduced the concept of the odd-Ramsey number of a family of graphs $\mathcal{H}$ in $K_n$, defined as the minimum number of colours needed to colour the edges of $K_n$ so that every copy of a graph $H\in \mathcal{
Externí odkaz:
http://arxiv.org/abs/2410.05887
We present a data-driven framework for the multiscale modeling of anisotropic finite strain elasticity based on physics-augmented neural networks (PANNs). Our approach allows the efficient simulation of materials with complex underlying microstructur
Externí odkaz:
http://arxiv.org/abs/2410.03378
Autor:
Beckett, Alexander, Rafelski, Marc, Revalski, Mitchell, Fumagalli, Michele, Fossati, Matteo, Nedkova, Kalina, Dutta, Rajeshwari, Bielby, Rich, Cantalupo, Sebastiano, Dayal, Prakita, D'Odorico, Valentina, Galbiati, Marta, Péroux, Céline
We present intial results associating galaxies in the MUSE Ultra Deep Field (MUDF) with gas seen in absorption along the line-of-sight to two bright quasars in this field, to explore the dependence of metals in the circumgalactic medium (CGM) on gala
Externí odkaz:
http://arxiv.org/abs/2408.11914
Cross-modal medical image segmentation presents a significant challenge, as different imaging modalities produce images with varying resolutions, contrasts, and appearances of anatomical structures. We introduce compositionality as an inductive bias
Externí odkaz:
http://arxiv.org/abs/2408.11733
Concentric Tube Robots (CTRs) have garnered significant interest within the surgical robotics community because of their flexibility, dexterity, and ease of miniaturization. However, mastering the unique kinematics and design principles of CTRs can b
Externí odkaz:
http://arxiv.org/abs/2407.06943
MaxCut is a classical NP-complete problem and a crucial building block in many combinatorial algorithms. The famous Edwards-Erd\H{o}s bound states that any connected graph on n vertices with m edges contains a cut of size at least $m/2 + (n-1)/4$. Cr
Externí odkaz:
http://arxiv.org/abs/2407.01071
Autor:
Rączkowska, Alicja, Osowska-Kurczab, Aleksandra, Szczerbiński, Jacek, Jasinska-Kobus, Kalina, Nazarko, Klaudia
Label noise remains a challenge for training robust classification models. Most methods for mitigating label noise have been benchmarked using primarily datasets with synthetic noise. While the need for datasets with realistic noise distribution has
Externí odkaz:
http://arxiv.org/abs/2407.10992
Autor:
Nedkova, Kalina V., Häußler, Boris, Marchesini, Danilo, Brammer, Gabriel B., Feinstein, Adina D., Johnston, Evelyn J., Kartaltepe, Jeyhan S., Koekemoer, Anton M., Martis, Nicholas S., Muzzin, Adam, Rafelski, Marc, Shipley, Heath V., Skelton, Rosalind E., Stefanon, Mauro, van der Wel, Arjen, Whitaker, Katherine E.
Using deep imaging from the CANDELS and HFF surveys, we present bulge+disc decompositions with GalfitM for $\sim$17,000 galaxies over $0.2 \leq z\leq 1.5$. We use various model parameters to select reliable samples of discs and bulges, and derive the
Externí odkaz:
http://arxiv.org/abs/2406.14613