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Cemre Zor
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2020 – today
- 2023
- [c13]Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger:
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. TML4H 2023: 11-24 - 2021
- [j8]Sara Atito Ali Ahmed, Cemre Zor, Muhammad Awais, Berrin A. Yanikoglu, Josef Kittler:
Deep Convolutional Neural Network Ensembles Using ECOC. IEEE Access 9: 86083-86095 (2021) - [i3]Cemre Zor, Terry Windeatt:
A unifying approach on bias and variance analysis for classification. CoRR abs/2101.01765 (2021) - 2020
- [j7]Fernando Pereira dos Santos, Cemre Zor, Josef Kittler, Moacir A. Ponti:
Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks 132: 131-143 (2020) - [c12]Sara Atito Ali Ahmed, Berrin A. Yanikoglu, Cemre Zor, Muhammad Awais, Josef Kittler:
Skin Lesion Diagnosis with Imbalanced ECOC Ensembles. LOD (2) 2020: 292-303 - [i2]Sara Atito Ali Ahmed, Cemre Zor, Berrin A. Yanikoglu, Muhammad Awais, Josef Kittler:
ECOC as a Method of Constructing Deep Convolutional Neural Network Ensembles. CoRR abs/2009.02961 (2020)
2010 – 2019
- 2019
- [j6]Josef Kittler, Cemre Zor:
Delta Divergence: A Novel Decision Cognizant Measure of Classifier Incongruence. IEEE Trans. Cybern. 49(6): 2331-2343 (2019) - [j5]Terry Windeatt, Cemre Zor, Necati Cihan Camgöz:
Approximation of Ensemble Boundary Using Spectral Coefficients. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1272-1277 (2019) - [c11]Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos:
Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection. ICASSP 2019: 3052-3056 - [c10]Neil P. Oxtoby, Fabio S. Ferreira, Ágoston Mihalik, Tong Wu, Mikael Brudfors, Hongxiang Lin, Anita Rau, Stefano B. Blumberg, Maria Robu, Cemre Zor, Maira Tariq, Mar Estarellas Garcia, Baris Kanber, Daniil I. Nikitichev, Janaina Mourão Miranda:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology. ABCD-NP@MICCAI 2019: 114-123 - [c9]Ágoston Mihalik, Mikael Brudfors, Maria Robu, Fabio S. Ferreira, Hongxiang Lin, Anita Rau, Tong Wu, Stefano B. Blumberg, Baris Kanber, Maira Tariq, Mar Estarellas Garcia, Cemre Zor, Daniil I. Nikitichev, Janaina Mourão Miranda, Neil P. Oxtoby:
ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Fluid Intelligence Scores from Structural MRI Using Probabilistic Segmentation and Kernel Ridge Regression. ABCD-NP@MICCAI 2019: 133-142 - 2018
- [j4]Josef Kittler, Cemre Zor, Ioannis Kaloskampis, Yulia Hicks, Wenwu Wang:
Error sensitivity analysis of Delta divergence - a novel measure for classifier incongruence detection. Pattern Recognit. 77: 30-44 (2018) - [c8]Josef Kittler, Ioannis Kaloskampis, Cemre Zor, Yang Xu, Yulia Hicks, Wenwu Wang:
Intelligent Signal Processing Mechanisms for Nuanced Anomaly Detection in Action Audio-Visual Data Streams. ICASSP 2018: 6563-6567 - 2017
- [j3]Moacir Ponti, Josef Kittler, Mateus Riva, Teófilo Emídio de Campos, Cemre Zor:
A decision cognizant Kullback-Leibler divergence. Pattern Recognit. 61: 470-478 (2017) - [c7]Cemre Zor, Josef Kittler:
Maritime anomaly detection in ferry tracks. ICASSP 2017: 2647-2651 - 2016
- [c6]Cemre Zor, Berrin A. Yanikoglu, Erinc Merdivan, Terry Windeatt, Josef Kittler, Ethem Alpaydin:
BeamECOC: A local search for the optimization of the ECOC matrix. ICPR 2016: 198-203 - [i1]Josef Kittler, Cemre Zor:
Delta divergence: A novel decision cognizant measure of classifier incongruence. CoRR abs/1604.04451 (2016) - 2014
- [b1]Cemre Zor:
Analyzing and pruning ensembles utilizing bias and variance theory. University of Surrey, Guildford, UK, 2014 - 2013
- [j2]Terry Windeatt, Cemre Zor:
Ensemble Pruning Using Spectral Coefficients. IEEE Trans. Neural Networks Learn. Syst. 24(4): 673-678 (2013) - [c5]Cemre Zor, Terry Windeatt, Josef Kittler:
ECOC Matrix Pruning Using Accuracy Information. MCS 2013: 386-397 - [c4]Cemre Zor, Terry Windeatt, Josef Kittler:
ECOC pruning using accuracy, diversity and Hamming distance information. SIU 2013: 1-4 - 2012
- [c3]Terry Windeatt, Cemre Zor:
Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients. SSPR/SPR 2012: 701-709 - 2011
- [j1]Terry Windeatt, Cemre Zor:
Minimising Added Classification Error Using Walsh Coefficients. IEEE Trans. Neural Networks 22(8): 1334-1339 (2011) - [p1]Cemre Zor, Terry Windeatt, Berrin A. Yanikoglu:
Bias-Variance Analysis of ECOC and Bagging Using Neural Nets. Ensembles in Machine Learning Applications 2011: 59-73 - 2010
- [c2]Cemre Zor, Berrin A. Yanikoglu, Terry Windeatt, Ethem Alpaydin:
FLIP-ECOC: A Greedy Optimization of the ECOC Matrix. ISCIS 2010: 149-154
2000 – 2009
- 2009
- [c1]Cemre Zor, Terry Windeatt:
Upper Facial Action Unit Recognition. ICB 2009: 239-248
Coauthor Index
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