Direnc Pekaslan

According to our database, Direnc Pekaslan authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.

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

CoRR, 2023

Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation.

Qiao Lin, Xin Chen, Chao Chen, Direnc Pekaslan, Jonathan M. Garibaldi

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving.

Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo

CoRR, 2022

A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting.

Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Christian Wagner, Eduardo Pestana de Aguiar

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression.

Direnc Pekaslan, Christian Wagner

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures.

Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures.

Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent System, 2022

2021

Compositional Linear Regression on Interval-valued Data.

Direnc Pekaslan, Christian Wagner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems.

Chao Chen, Yu Zhao, Christian Wagner, Direnc Pekaslan, Jonathan M. Garibaldi

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

ADONiS - Adaptive Online Nonsingleton Fuzzy Logic Systems.

Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi

IEEE Trans. Fuzzy Syst., 2020

Citizens' Spatial Footprint on Twitter - Anomaly, Trend and Bias Investigation in Istanbul.

Ayse Giz Gulnerman, Himmet Karaman, Direnc Pekaslan, Serdar Bilgi

ISPRS Int. J. Geo Inf., 2020

Capturing Uncertainty in Heavy Goods Vehicles Driving Behaviour.

Jimiama Mafeni Mase, Utkarsh Agrawal, Direnc Pekaslan, Mohammad Mesgarpour, Peter Chapman, Mercedes Torres Torres, Grazziela P. Figueredo

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Performance and Interpretability in Fuzzy Logic Systems - Can We Have Both?

Direnc Pekaslan, Chao Chen, Christian Wagner, Jonathan M. Garibaldi

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Uncertainty-Aware Forecasting of Renewable Energy Sources.

Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi, Luis G. Marin, Doris Sáez

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels.

Direnc Pekaslan, Christian Wagner, Jonathan M. Garibaldi

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems.

Direnc Pekaslan, Jonathan M. Garibaldi, Christian Wagner

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems.

Direnc Pekaslan, Jonathan M. Garibaldi, Christian Wagner

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Determining Firing Strengths Through a Novel Similarity Measure to Enhance Uncertainty Handling in Non-singleton Fuzzy Logic Systems.

Direnc Pekaslan, Shaily Kabir, Jonathan M. Garibaldi, Christian Wagner

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017