Chaotic Cellular Neural Networks Made of Chua's Circuits. - Cüneyt Güzelis (Chua's Circuit, 1993)

Stability analysis of generalized cellular neural networks. - Cüneyt Güzelis; Leon O. Chua (Int. J. Circuit Theory Appl., 1993)

Chaotic Cellular Neural Networks Made of Chua's Circuits. - Cüneyt Güzelis (J. Circuits Syst. Comput., 1993)

Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. - Bilge Günsel; Cüneyt Güzelis (ICIP, 1995)

Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images. - Mehmet Ertugrul Çelebi; Cüneyt Güzelis (ICNN, 1995)

Recurrent perceptron learning algorithm for CNNs with application to edge detection. - Cüneyt Güzelis; S. Karamahmut (ICNN, 1995)

Efficient image restoration using cellular neural networks. - Mehmet Ertugrul Çelebi; Cüneyt Güzelis (ICASSP, 1997)

Analysis of input-output clustering for determining centers of RBFN. - Zekeriya Uykan; Cüneyt Güzelis; Mehmet Ertugrul Çelebi; Heikki N. Koivo (IEEE Trans. Neural Networks Learn. Syst., 2000)

A Gradient Network for Vector Quantization and Its Image Compression Applications. - Hatice Dogan; Cüneyt Güzelis (ICANN, 2003)

Fuzzy Model Identification Using Support Vector Clustering Method. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (ICANN, 2003)

Steady-State Analysis of Nonlinearly Coupled Chua's Circuits with Periodic Input. - F. Acar Savaci; Müstak E. Yalçin; Cüneyt Güzelis (Int. J. Bifurc. Chaos, 2003)

A new design method for the complex-valued multistate Hopfield associative memory. - Mehmet Kerem Müezzinoglu; Cüneyt Güzelis; Jacek M. Zurada (IEEE Trans. Neural Networks, 2003)

An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method. - Nurettin Acir; Cüneyt Güzelis (ADVIS, 2004)

Automatic spike detection in EEG by a two-stage procedure based on support vector machines. - Nurettin Acir; Cüneyt Güzelis (Comput. Biol. Medicine, 2004)

Automatic recognition of sleep spindles in EEG by using artificial neural networks. - Nurettin Acir; Cüneyt Güzelis (Expert Syst. Appl., 2004)

Associative Memory Design via Path Embedding into a Graph. - Mehmet Kerem Müezzinoglu; Cüneyt Güzelis (Neural Process. Lett., 2004)

A Boolean Hebb rule for binary associative memory design. - Mehmet Kerem Müezzinoglu; Cüneyt Güzelis (IEEE Trans. Neural Networks, 2004)

A New Formulation for Classification by Ellipsoids. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (TAINN, 2005)

Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm. - Nurettin Acir; Cüneyt Güzelis (Neural Comput. Appl., 2005)

Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks. - Nurettin Acir; Ibrahim Öztura; Mehmet Kuntalp; Baris Baklan; Cüneyt Güzelis (IEEE Trans. Biomed. Eng., 2005)

An energy function-based design method for discrete hopfield associative memory with attractive fixed points. - Mehmet Kerem Müezzinoglu; Cüneyt Güzelis; Jacek M. Zurada (IEEE Trans. Neural Networks, 2005)

Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection. - Nurettin Acir; Özcan Özdamar; Cüneyt Güzelis (Eng. Appl. Artif. Intell., 2006)

A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test. - Gülay Büyükaksoy Kaplan; Neslihan Serap Sengör; Hakan Gürvit; Ibrahim Genç; Cüneyt Güzelis (Neural Networks, 2006)

Robust and Fuzzy Spherical Clustering by a Penalty Parameter Approach. - Hatice Dogan; Cüneyt Güzelis (IEEE Trans. Circuits Syst. II Express Briefs, 2006)

Modelling the Stroop effect: A connectionist approach. - Gülay Büyükaksoy Kaplan; Neslihan Serap Sengör; Hakan Gürvit; Cüneyt Güzelis (Neurocomputing, 2007)

Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation. - M. Alper Selver; Aykut Kocaoglu; Güleser Kalayci Demir; Hatice Dogan; Oguz Dicle; Cüneyt Güzelis (Comput. Biol. Medicine, 2008)

Semiautomatic Transfer Function Initialization for Abdominal Visualization Using Self-Generating Hierarchical Radial Basis Function Networks. - M. Alper Selver; Cüneyt Güzelis (IEEE Trans. Vis. Comput. Graph., 2009)

Integrating segmentation methods from different tools into a visualization program using an object-based plug-in interface. - Felix Fischer 002; M. Alper Selver; Walter Hillen; Cüneyt Güzelis (IEEE Trans. Inf. Technol. Biomed., 2010)

Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks. - M. Alper Selver; Cüneyt Güzelis (Computational Methods for the Innovative Design of Electrical Devices, 2011)

An automatic level set based liver segmentation from MRI data sets. - Evgin Göçeri; M. Zubeyir Unlu; Cüneyt Güzelis; Oguz Dicle (IPTA, 2012)

Application of evolutionary algorithms to garment design. - Türker Ince; Arzu Vuruskan; Ender Bulgun; Cüneyt Güzelis (SIU, 2013)

A Dynamical State Feedback Chaotification Method with Application on liquid mixing. - Savas Sahin; Cüneyt Güzelis (J. Circuits Syst. Comput., 2013)

Numerically Efficient Analysis of a One-Dimensional Stochastic Lac Operon Model. - Neslihan Avcu; Nihal Pekergin; Ferhan Pekergin; Cüneyt Güzelis (ISCIS, 2015)

Determining the bistability parameter ranges of artificially induced lac operon using the root locus method. - Neslihan Avcu; H. Alyürük; Güleser Kalayci Demir; Ferhan Pekergin; Levent Cavas; Cüneyt Güzelis (Comput. Biol. Medicine, 2015)

Exploiting Chaos in Learning System Identification for Nonlinear State Space Models. - Mehmet Ölmez; Cüneyt Güzelis (Neural Process. Lett., 2015)

Moving towards in object recognition with deep learning for autonomous driving applications. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (INISTA, 2016)

Design and implementation of chaotic system based robust delta robot for blending graphene nanoplatelets. - Ali Emre Kavur; Sibel Demiroglu Mustafov; M. Ozgur Seydibeyoglu; Ozgun Baser; Cüneyt Güzelis; Savas Sahin (MMAR, 2016)

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (Neural Comput. Appl., 2016)

Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability. - Savas Sahin; Cüneyt Güzelis (IEEE Trans. Neural Networks Learn. Syst., 2016)

Object recognition and detection with deep learning for autonomous driving applications. - Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (Simul., 2017)

Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks. - Neslihan Avcu; Nihal Pekergin; Ferhan Pekergin; Cüneyt Güzelis (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication. - Mert Nakip; Baran Can Gül; Volkan Rodoplu; Cüneyt Güzelis (CCIOT, 2019)

Performance Analysis of Stable Adaptive NARMA Controller Scheme for Furuta Pendulum. - Parvin Bulucu; Mehmet Ugur Soydemir; Savas Sahin; Aykut Kocaoglu; Cüneyt Güzelis (ICSTCC, 2019)

An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. - Recen Özaln; Çagri Kaymak; Özal Yildirim; Aysegül Uçar; Yakup Demir; Cüneyt Güzelis (INISTA, 2019)

End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot. - Simge Nur Aslan; Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (INISTA, 2020)

Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (INISTA, 2020)

Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. - Mert Nakip; Onur Çopur; Cüneyt Güzelis (CoRR, 2020)

A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT. - Volkan Rodoplu; Mert Nakip; Deniz Türsel Eliiyi; Cüneyt Güzelis (IEEE Internet Things J., 2020)

Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems. - Parvin Bulucu; Mehmet Ugur Soydemir; Savas Sahin; Aykut Kocaoglu; Cüneyt Güzelis (Neural Process. Lett., 2020)

Spatiotemporal chaotification of delta robot mixer for homogeneous graphene nanocomposite dispersing. - Savas Sahin; Ali Emre Kavur; Sibel Demiroglu Mustafov; M. Ozgur Seydibeyoglu; Ozgun Baser; Yalçin Isler; Cüneyt Güzelis (Robotics Auton. Syst., 2020)

Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems. - Tugçe Toprak; Burak Belenlioglu; Burak Aydin; Cüneyt Güzelis; M. Alper Selver (IEEE Trans. Veh. Technol., 2020)

Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning. - Simge Nur Aslan; Burak Tasçi; Aysegül Uçar; Cüneyt Güzelis (Intelligent Environments (Workshops), 2021)

Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. - Mert Nakip; Alperen Helva; Cüneyt Güzelis; Volkan Rodoplu (WF-IoT, 2021)

Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. - Mert Nakip; Cüneyt Güzelis; Osman Yildiz (IEEE Access, 2021)

An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. - Mert Nakip; Kubilay Karakayali; Cüneyt Güzelis; Volkan Rodoplu (IEEE Access, 2021)

Multi-Resolution Inter-Level Refinement (MR-ILR) Architecture for Anomaly Prediction in IoT Data. - Rifat Orhan Çikmazel; Alper Saylam; Volkan Rodoplu; Cüneyt Güzelis (INISTA, 2022)

Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. - Mert Nakip; Baran Can Gül; Volkan Rodoplu; Cüneyt Güzelis (IEEE Access, 2022)

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. - Simge Nur Aslan; Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (Clust. Comput., 2022)

New convolutional neural network models for efficient object recognition with humanoid robots. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (J. Inf. Telecommun., 2022)

Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. - Mert Nakip; Erdem Çakan; Volkan Rodoplu; Cüneyt Güzelis (J. Netw. Comput. Appl., 2022)

Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things. - Arif Kerem Dayi; Volkan Rodoplu; Mert Nakip; Buse Pehlivan; Cüneyt Güzelis (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022)

Bayesian Networks as Approximations of Biochemical Networks. - Adrien Le Coënt; Benoît Barbot; Nihal Pekergin; Cüneyt Güzelis (EPEW, 2023)

Machine Learning Enabled Sleep Time Estimation (MLE-STE) Architecture for Indoor Positioning in Energy-Efficient Mobile Internet of Things. - Alper Saylam; Cüneyt Güzelis; Volkan Rodoplu (WF-IoT, 2023)

Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. - Mert Nakip; Onur Çopur; Emrah Biyik; Cüneyt Güzelis (CoRR, 2023)

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. - Simge Nur Aslan; Aysegül Uçar; Cüneyt Güzelis (J. Ambient Intell. Humaniz. Comput., 2023)

Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network. - Pervin Bulucu; Mert Nakip; Cüneyt Güzelis (IEEE Access, 2024)

Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence. - Recep Ozalp; Aysegül Uçar; Cüneyt Güzelis (IEEE Access, 2024)

Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. - Mert Nakip; Nur Kelesoglu; Cüneyt Güzelis (Appl. Soft Comput., 2024)

Data fusion integrated network forecasting scheme classifier (DFI-NFSC) via multi-layer perceptron decomposition architecture. - Erdem Çakan; Volkan Rodoplu; Cüneyt Güzelis (Internet Things, 2024)

Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum. - Mehmet Ugur Soydemir; Savas Sahin; Aykut Kocaoglu; Parvin Bulucu; Cüneyt Güzelis (Neural Comput. Appl., 2024)