Zobrazeno 1 - 10
of 7 663
pro vyhledávání: '"Mattei Ât"'
Autor:
Aird, Amanda, Štefancová, Elena, All, Cassidy, Voida, Amy, Homola, Martin, Mattei, Nicholas, Burke, Robin
Algorithmic fairness in recommender systems requires close attention to the needs of a diverse set of stakeholders that may have competing interests. Previous work in this area has often been limited by fixed, single-objective definitions of fairness
Externí odkaz:
http://arxiv.org/abs/2410.04551
Autor:
Stefancova, Elena, All, Cassidy, Paup, Joshua, Homola, Martin, Mattei, Nicholas, Burke, Robin
Synthetic data is a useful resource for algorithmic research. It allows for the evaluation of systems under a range of conditions that might be difficult to achieve in real world settings. In recommender systems, the use of synthetic data is somewhat
Externí odkaz:
http://arxiv.org/abs/2409.14078
Aggregating the preferences of multiple agents into a collective decision is a common step in many important problems across areas of computer science including information retrieval, reinforcement learning, and recommender systems. As Social Choice
Externí odkaz:
http://arxiv.org/abs/2408.13630
Autor:
Villa, Irene, Monguzzi, Angelo, Lorenzi, Roberto, Orfano, Matteo, Babin, Vladimir, Hájek, František, Kuldová, Karla, Kučerková, Romana, Beitlerová, Alena, Mattei, Ilaria, Buresova, Hana, Pjatkan, Radek, Čuba, Václav, Procházková, Lenka Prouzová, Nikl, Martin
Fast emitting polymeric scintillators are requested in advanced applications where high-speed detectors with large signal-to-noise ratio are needed. However, their low density implies a weak stopping power of high energy radiations, thus a limited li
Externí odkaz:
http://arxiv.org/abs/2408.01340
Autor:
Luo, Xusheng, Wei, Tianhao, Liu, Simin, Wang, Ziwei, Mattei-Mendez, Luis, Loper, Taylor, Neighbor, Joshua, Hutchison, Casidhe, Liu, Changliu
This work addresses the certification of the local robustness of vision-based two-stage 6D object pose estimation. The two-stage method for object pose estimation achieves superior accuracy by first employing deep neural network-driven keypoint regre
Externí odkaz:
http://arxiv.org/abs/2408.00117
Autor:
Mattei, Dominique, Meinsma, Reinder
We investigate obstruction classes of moduli spaces of sheaves on K3 surfaces. We extend previous results by Caldararu, explicitly determining the obstruction class and its order in the Brauer group. Our main theorem establishes a short exact sequenc
Externí odkaz:
http://arxiv.org/abs/2404.16652
Trees are convenient models for obtaining explainable predictions on relatively small datasets. Although there are many proposals for the end-to-end construction of such trees in supervised learning, learning a tree end-to-end for clustering without
Externí odkaz:
http://arxiv.org/abs/2402.12232
Autor:
Mattei, Mattia, Arenas, Alex
This study investigates the role of spatial segregation, prompted by competition avoidance, as a key mechanism for emergent coexistence within microbial communities. Recognizing these communities as complex adaptive systems, we challenge the sufficie
Externí odkaz:
http://arxiv.org/abs/2401.17048
In many causal studies, outcomes are censored by death, in the sense that they are neither observed nor defined for units who die. In such studies, the focus is usually on the stratum of always survivors up to a single fixed time s. Building on a rec
Externí odkaz:
http://arxiv.org/abs/2401.00196
Ensemble methods combine the predictions of several base models. We study whether or not including more models always improves their average performance. This question depends on the kind of ensemble considered, as well as the predictive metric chose
Externí odkaz:
http://arxiv.org/abs/2311.17885