5 citations · 7 across the 19 of their papers we have counts for
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Conformalized High-Density Quantile Regression via Dynamic Prototypes-based Probability Density Estimation
Batuhan Cengiz, Halil Faruk Karagoz, Tufan Kumbasar
Recent methods in quantile regression have adopted a classification perspective to handle challenges posed by heteroscedastic, multimodal, or skewed data by quantizing outputs into…
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals
Ata Koklu, Yusuf Guven, Tufan Kumbasar
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 (…
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals
Yusuf Guven, Ata Koklu, Tufan Kumbasar
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 too…
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning
Ata Koklu, Yusuf Guven, Tufan Kumbasar
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 challe…