Zobrazeno 1 - 10
of 15 838
pro vyhledávání: '"A. Tufan"'
Recent methods in quantile regression have adopted a classification perspective to handle challenges posed by heteroscedastic, multimodal, or skewed data by quantizing outputs into fixed bins. Although these regression-as-classification frameworks ca
Externí odkaz:
http://arxiv.org/abs/2411.01266
Autor:
Erdogan, R. Tufan, Filonenko, Georgy A., Picken, Stephen J., Steeneken, Peter G., Westerveld, Wouter J.
Ultrasound is widely used in medical imaging, and emerging photo-acoustic imaging is crucial for disease diagnosis. Currently, high-end photo-acoustic imaging systems rely on piezo-electric materials for detecting ultrasound waves, which come with se
Externí odkaz:
http://arxiv.org/abs/2410.18642
In this paper, we tackle the task of generating Prediction Intervals (PIs) in high-risk scenarios by proposing enhancements for learning Interval Type-2 (IT2) Fuzzy Logic Systems (FLSs) to address their learning challenges. In this context, we first
Externí odkaz:
http://arxiv.org/abs/2404.12802
General Type-2 (GT2) Fuzzy Logic Systems (FLSs) are perfect candidates to quantify uncertainty, which is crucial for informed decisions in high-risk tasks, as they are powerful tools in representing uncertainty. In this paper, we travel back in time
Externí odkaz:
http://arxiv.org/abs/2404.12800
Type-1 and Interval Type-2 (IT2) Fuzzy Logic Systems (FLS) excel in handling uncertainty alongside their parsimonious rule-based structure. Yet, in learning large-scale data challenges arise, such as the curse of dimensionality and training complexit
Externí odkaz:
http://arxiv.org/abs/2404.12792
Publikováno v:
Insight Turkey, 2024 Apr 01. 26(2), 255-278.
Externí odkaz:
https://www.jstor.org/stable/48778426
Autor:
Toymus, Alp Timucin, Yener, Umut Can, Bardakci, Emine, Temel, Ozgur Deniz, Koseoglu, Ersin, Akcoren, Dincay, Eminoglu, Burak, Ali, Mohsin, Tarcan, Tufan, Beker, Levent
Bladder volume measurement is critical for early detection and management of lower urinary tract dysfunctions. The current gold standard is invasive, and alternative technologies either require trained personnel or do not offer medical grade informat
Externí odkaz:
http://arxiv.org/abs/2310.09448
We investigate the suitability of nearly half-metallic ferrimagnetic quaternary Heusler alloys, CoCrMnZ (Z=Al, Ga, Si, Ge) to assess the feasibility as electrode materials of MgO-based magnetic tunnel junctions (MTJ). Low magnetic moments of these al
Externí odkaz:
http://arxiv.org/abs/2307.16442
Publikováno v:
The Framework for Resilient Industry: A Holistic Approach for Developing Economies
Publikováno v:
Journal of Parallel and Distributed Computing, 179, (2023), 104711
We propose fork-join and task-based hybrid implementations of four classical linear algebra iterative methods (Jacobi, Gauss-Seidel, conjugate gradient and biconjugate gradient stabilised) as well as variations of them. Algorithms are duly documented
Externí odkaz:
http://arxiv.org/abs/2305.05988