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 002 (IJCCI, 2017)

Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems. - Direnc Pekaslan; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ-IEEE, 2018)

Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems. - Direnc Pekaslan; Jonathan M. Garibaldi; Christian Wagner 002 (SMC, 2018)

Leveraging IT2 Input Fuzzy Sets in Non-Singleton Fuzzy Logic Systems to Dynamically Adapt to Varying Uncertainty Levels. - Direnc Pekaslan; Christian Wagner 002; Jonathan M. Garibaldi (FUZZ-IEEE, 2019)

Uncertainty-Aware Forecasting of Renewable Energy Sources. - Direnc Pekaslan; Christian Wagner 002; Jonathan M. Garibaldi; Luis G. Marin; Doris Sáez (BigComp, 2020)

Performance and Interpretability in Fuzzy Logic Systems - Can We Have Both? - Direnc Pekaslan; Chao Chen 007; Christian Wagner 002; Jonathan M. Garibaldi (IPMU (1), 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 (ITSC, 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)

ADONiS - Adaptive Online Nonsingleton Fuzzy Logic Systems. - Direnc Pekaslan; Christian Wagner 002; Jonathan M. Garibaldi (IEEE Trans. Fuzzy Syst., 2020)

An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems. - Chao Chen 007; Yu Zhao; Christian Wagner 002; Direnc Pekaslan; Jonathan M. Garibaldi (FUZZ-IEEE, 2021)

Compositional Linear Regression on Interval-valued Data. - Direnc Pekaslan; Christian Wagner 002 (SSCI, 2021)

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 (EAIS, 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 (FUZZ-IEEE, 2022)

Alpha-cut based compositional representation of fuzzy sets and exploration of associated fuzzy set regression. - Direnc Pekaslan; Christian Wagner 002 (FUZZ-IEEE, 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 002; Eduardo Pestana de Aguiar (LA-CCI, 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)

Fuzzy Uncertainty-Based Out-of-Distribution Detection Algorithm for Semantic Segmentation. - Qiao Lin 003; Xin Chen 003; Chao Chen 007; Direnc Pekaslan; Jonathan M. Garibaldi (FUZZ, 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; et al. (CoRR, 2023)

Interval Agreement Weighted Average - Sensitivity to Data Set Features. - Yu Zhao; Christian Wagner 002; Brendan Ryan; Direnc Pekaslan; Javier Navarro (FUZZ, 2024)

Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML. - Nasser Alkhulaifi; Alexander L. Bowler; Direnc Pekaslan; Isaac Triguero; Nicholas James Watson (SMC, 2024)

Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities. - Nasser Alkhulaifi; Alexander L. Bowler; Direnc Pekaslan; Gulcan Serdaroglu; Steve Closs; Nicholas James Watson; Isaac Triguero (IEEE Access, 2024)