Cemre Zor

Orcid: 0000-0002-6141-2610

According to our database1, Cemre Zor authored at least 25 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2023
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

2021
A unifying approach on bias and variance analysis for classification.
CoRR, 2021

Deep Convolutional Neural Network Ensembles Using ECOC.
IEEE Access, 2021

2020
Learning image features with fewer labels using a semi-supervised deep convolutional network.
Neural Networks, 2020

ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles.
CoRR, 2020

Skin Lesion Diagnosis with Imbalanced ECOC Ensembles.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019
Approximation of Ensemble Boundary Using Spectral Coefficients.
IEEE Trans. Neural Networks Learn. Syst., 2019

Delta Divergence: A Novel Decision Cognizant Measure of Classifier Incongruence.
IEEE Trans. Cybern., 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression.
Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection.
Pattern Recognit., 2018

Intelligent Signal Processing Mechanisms for Nuanced Anomaly Detection in Action Audio-Visual Data Streams.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A decision cognizant Kullback-Leibler divergence.
Pattern Recognit., 2017

Maritime anomaly detection in ferry tracks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
BeamECOC: A local search for the optimization of the ECOC matrix.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014
Analyzing and pruning ensembles utilizing bias and variance theory.
PhD thesis, 2014

2013
Ensemble Pruning Using Spectral Coefficients.
IEEE Trans. Neural Networks Learn. Syst., 2013

ECOC pruning using accuracy, diversity and Hamming distance information.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

ECOC Matrix Pruning Using Accuracy Information.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

2012
Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011
Bias-Variance Analysis of ECOC and Bagging Using Neural Nets.
Proceedings of the Ensembles in Machine Learning Applications, 2011

Minimising Added Classification Error Using Walsh Coefficients.
IEEE Trans. Neural Networks, 2011

2010
FLIP-ECOC: A Greedy Optimization of the ECOC Matrix.
Proceedings of the Computer and Information Sciences, 2010

2009
Upper Facial Action Unit Recognition.
Proceedings of the Advances in Biometrics, Third International Conference, 2009


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