Zobrazeno 1 - 10
of 13 768
pro vyhledávání: '"Taylor John A"'
Accurate short-term streamflow and flood forecasting are critical for mitigating river flood impacts, especially given the increasing climate variability. Machine learning-based streamflow forecasting relies on large streamflow datasets derived from
Externí odkaz:
http://arxiv.org/abs/2412.04764
Autor:
Ilievski, Filip, Hammer, Barbara, van Harmelen, Frank, Paassen, Benjamin, Saralajew, Sascha, Schmid, Ute, Biehl, Michael, Bolognesi, Marianna, Dong, Xin Luna, Gashteovski, Kiril, Hitzler, Pascal, Marra, Giuseppe, Minervini, Pasquale, Mundt, Martin, Ngomo, Axel-Cyrille Ngonga, Oltramari, Alessandro, Pasi, Gabriella, Saribatur, Zeynep G., Serafini, Luciano, Shawe-Taylor, John, Shwartz, Vered, Skitalinskaya, Gabriella, Stachl, Clemens, van de Ven, Gido M., Villmann, Thomas
Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and decision support but may also disrupt democracies and target individuals. The responsible use of AI increasing
Externí odkaz:
http://arxiv.org/abs/2411.15626
Autor:
Kim, Inwook, Bray, Connor, Marino, Andrew, Stone-Whitehead, Caitlyn, Lamm, Amii, Abells, Ryan, Amaro, Pedro, Andoche, Adrien, Cantor, Robin, Diercks, David, Fretwell, Spencer, Gillespie, Abigail, Guerra, Mauro, Hall, Ad, Harris, Cameron N., Harris, Jackson T., Hinkle, Calvin, Hayen, Leendert M., Hervieux, Paul-Antoine, Kim, Geon-Bo, Leach, Kyle G., Lennarz, Annika, Lordi, Vincenzo, Machado, Jorge, McKeen, David, Mougeot, Xavier, Ponce, Francisco, Ruiz, Chris, Samanta, Amit, Santos, José Paulo, Smolsky, Joseph, Taylor, John, Templet, Joseph, Upadhyayula, Sriteja, Wagner, Louis, Warburton, William K., Waters, Benjamin, Friedrich, Stephan
The Beryllium Electron capture in Superconducting Tunnel junctions (BeEST) experiment searches for evidence of heavy neutrino mass eigenstates in the nuclear electron capture decay of $^7$Be by precisely measuring the recoil energy of the $^7$Li daug
Externí odkaz:
http://arxiv.org/abs/2409.19085
Autor:
Diakogiannis, Foivos I., Zhou, Zheng-Shu, Wang, Jeff, Mata, Gonzalo, Henry, Dave, Lawes, Roger, Parker, Amy, Caccetta, Peter, Ibata, Rodrigo, Hlinka, Ondrej, Richetti, Jonathan, Batchelor, Kathryn, Herrmann, Chris, Toovey, Andrew, Taylor, John
Accurate field boundary delineation is a critical challenge in digital agriculture, impacting everything from crop monitoring to resource management. Existing methods often struggle with noise and fail to generalize across varied landscapes, particul
Externí odkaz:
http://arxiv.org/abs/2409.13568
Autor:
Nagano, Yuta, Pyo, Andrew, Milighetti, Martina, Henderson, James, Shawe-Taylor, John, Chain, Benny, Tiffeau-Mayer, Andreas
Computational prediction of the interaction of T cell receptors (TCRs) and their ligands is a grand challenge in immunology. Despite advances in high-throughput assays, specificity-labelled TCR data remains sparse. In other domains, the pre-training
Externí odkaz:
http://arxiv.org/abs/2406.06397
Autor:
Little, Bethany, Alyas, Nida, Surtees, Alexander, Winston, Gavin P, Duncan, John S, Cousins, David A, Taylor, John-Paul, Taylor, Peter, Leiberg, Karoline, Wang, Yujiang
Normative models of brain structure estimate the effects of covariates such as age and sex using large samples of healthy controls. These models can then be applied to e.g. smaller clinical cohorts to distinguish disease effects from other covariates
Externí odkaz:
http://arxiv.org/abs/2406.01107
Autor:
Smolsky, Joseph, Leach, Kyle G, Abells, Ryan, Amaro, Pedro, Andoche, Adrien, Borbridge, Keith, Bray, Connor, Cantor, Robin, Diercks, David, Fretwell, Spencer, Friedrich, Stephan, Gillespie, Abigail, Guerra, Mauro, Hall, Ad, Harris, Cameron N, Harris, Jackson T, Hinkle, Calvin, Lamm, Amii, Hayen, Leendert M, Hervieux, Paul-Antoine, Kim, Geon-Bo, Kim, Inwook, Lennarz, Annika, Lordi, Vincenzo, Machado, Jorge, Marino, Andrew, McKeen, David, Mougeot, Xavier, Ponce, Francisco, Ruiz, Chris, Samanta, Amit, Santos, José Paulo, Stone-Whitehead, Caitlyn, Taylor, John, Templet, Joseph, Upadhyayula, Sriteja, Wagner, Louis, Warburton, William K
Despite their high relative abundance in our Universe, neutrinos are the least understood fundamental particles of nature. They also provide a unique system to study quantum coherence and the wavelike nature of particles in fundamental systems due to
Externí odkaz:
http://arxiv.org/abs/2404.03102
Autor:
Qiu, Yuxiang, Djemili, Karim, Elezi, Denis, Shalman, Aaneel, Pérez-Ortiz, María, Yilmaz, Emine, Shawe-Taylor, John, Bulathwela, Sahan
With the advancement and utility of Artificial Intelligence (AI), personalising education to a global population could be a cornerstone of new educational systems in the future. This work presents the PEEKC dataset and the TrueLearn Python library, w
Externí odkaz:
http://arxiv.org/abs/2401.05424
Governments around the world aspire to ground decision-making on evidence. Many of the foundations of policy making - e.g. sensing patterns that relate to societal needs, developing evidence-based programs, forecasting potential outcomes of policy ch
Externí odkaz:
http://arxiv.org/abs/2312.06527
Autor:
Little, Bethany, Flowers, Carly, Blamire, Andrew, Thelwall, Peter, Taylor, John-Paul, Gallagher, Peter, Cousins, David Andrew, Wang, Yujiang
Background: People with bipolar disorder (BD) tend to show widespread cognitive impairment compared to healthy controls. Impairments in processing speed (PS), attention, and executive function (EF) may represent 'core' impairments that have a role in
Externí odkaz:
http://arxiv.org/abs/2311.01543