Direnc Pekaslan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Semantic Segmentation

Similarity Measure

Kullback Leibler

Top Venues

Publications

Yu Zhao, Christian Wagner, Brendan Ryan, Direnc Pekaslan, Javier Navarro
Interval Agreement Weighted Average - Sensitivity to Data Set Features. FUZZ (2024)
Qiao Lin, Xin Chen, Chao Chen, Direnc Pekaslan, Jonathan M. Garibaldi
Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation. FUZZ (2023)
Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Christian Wagner, Eduardo Pestana de Aguiar
A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting. LA-CCI (2022)
Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures. FUZZ-IEEE (2022)
Direnc Pekaslan, Christian Wagner
Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression. FUZZ-IEEE (2022)
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving. CoRR (2022)
Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures. EAIS (2022)
Direnc Pekaslan, Christian Wagner
Compositional Linear Regression on Interval-valued Data. SSCI (2021)
Chao Chen, Yu Zhao, Christian Wagner, Direnc Pekaslan, Jonathan M. Garibaldi
An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. FUZZ-IEEE (2021)
Ayse Giz Gulnerman, Himmet Karaman, Direnc Pekaslan, Serdar Bilgi
Citizens' Spatial Footprint on Twitter - Anomaly, Trend and Bias Investigation in Istanbul. ISPRS Int. J. Geo Inf. 9 (4) (2020)
Direnc Pekaslan, Chao Chen, Christian Wagner, Jonathan M. Garibaldi
Performance and Interpretability in Fuzzy Logic Systems - Can We Have Both? IPMU (1) (2020)
Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi
ADONiS - Adaptive Online Nonsingleton Fuzzy Logic Systems. IEEE Trans. Fuzzy Syst. 28 (10) (2020)
Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo
Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour. ITSC (2020)
Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi, Luis G. Marin, Doris Sáez
Uncertainty-Aware Forecasting of Renewable Energy Sources. BigComp (2020)
Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi
Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels. FUZZ-IEEE (2019)
Direnc Pekaslan, Jonathan M. Garibaldi, Christian Wagner
Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems. SMC (2018)
Direnc Pekaslan, Jonathan M. Garibaldi, Christian Wagner
Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems. FUZZ-IEEE (2018)
Direnc Pekaslan, Shaily Kabir, Jonathan M. Garibaldi, Christian Wagner
Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems. IJCCI (2017)