Performance of the D-Egg Optical Sensor for the IceCube Upgrade
Hill, C Meier, M Nagai, R Kin, K Shimizu, N Ishihara, A Yoshida, S Anderson, T Braun, J Fienberg, A Weber, J (11 Aug 2021) https://arxiv.org/abs/2108.05353v1
Observation of seven astrophysical tau neutrino candidates with IceCube
Abbasi, R Ackermann, M Adams, J Agarwalla, S Aguilar, J Ahlers, M Alameddine, J Amin, N Andeen, K Anton, G Argüelles, C Ashida, Y Athanasiadou, S Axani, S Bai, X V, A Baricevic, M Barwick, S Basu, V Bay, R Beatty, J Tjus, J Beise, J Bellenghi, C Benning, C BenZvi, S Berley, D Bernardini, E Besson, D Blaufuss, E Blot, S Bontempo, F Book, J Meneguolo, C Böser, S Botner, O Böttcher, J Bourbeau, E Braun, J Brinson, B Brostean-Kaiser, J Burley, R Busse, R Butterfield, D Campana, M Carloni, K Carnie-Bronca, E Chattopadhyay, S Chau, N Sarkar, S (04 Mar 2024) doi:10.48550/arXiv.2403.02516
Branes, quivers, and the affine Grassmannian
Bourget, A Grimminger, J Hanany, A Sperling, M Zhong, Z (01 Jan 2023) doi:10.2969/aspm/08810331
Branes, quivers, and the affine Grassmannian
Bourget, A Grimminger, J Hanany, A Sperling, M Zhong, Z (01 Jan 2023) doi:10.2969/aspm/08810331
Markov decision processes with observation costs: framework and computation with a penalty scheme
Reisinger, C Tam, J Mathematics of Operations Research (23 May 2024) doi:10.1287/moor.2023.0172
Markov decision processes with observation costs: framework and computation with a penalty scheme
Reisinger, C Tam, J Mathematics of Operations Research (23 May 2024) doi:10.1287/moor.2023.0172
Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry
Hayes, S McCabe, R De Angelis, D Donnelly, C Evans, S Medley, G Spiegelhalter, D Bird, S Royal Society Open Science volume 11 issue 6 (05 Jun 2024) doi:10.1098/rsos.231722
Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study
Joyce, D Kormilitzin, A Hamer-Hunt, J McKee, K Tomasev, N BMJ Open volume 14 issue 3 e079105-e079105 (15 Mar 2024) doi:10.1136/bmjopen-2023-079105
Learning to Adapt - Deep Reinforcement Learning in Treatment-Resistant Prostate Cancer
Gallagher, K Strobl, M Gatenby, R Maini, P Anderson, A doi:10.1101/2023.04.28.538766
Abstract PR001: Learning to adapt: Rational personalization of adaptive therapy using deep reinforcement learning
Gallagher, K Strobl, M Gatenby, R Maini, P Anderson, A Cancer Research volume 84 issue 3_Supplement_2 pr001-pr001 (01 Feb 2024) doi:10.1158/1538-7445.canevol23-pr001
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