C. Güzelı̇ş

发表

Revealing determinants of two‐phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model

Gökhan Demirkıran, Güleser Kalaycı Demir, C. Güzelı̇ş, 2018, IET systems biology.

An analysis of maximum clique formulations and saturated linear dynamical network

N. S. Şengör, Ö. Morgül, C. Güzelı̇ş, 1999 .

Discriminant-based bistability analysis of a TMG-induced lac operon model supported with boundedness and local stability results

L. Cavaş, C. Güzelı̇ş, F. Pekergin, 2016 .

Effect of chaotic mixing on the rheological characterization of mayonnaise

Savaş Şahin, Gökhan Demirkıran, C. Güzelı̇ş, 2017, 2017 10th International Conference on Electrical and Electronics Engineering (ELECO).

Hessiyen Tabanli Damar Süzgeci ile BTA Abdomen Görüntülerinden Karaciğer Damarlarinin Çikarimi Extraction of the Liver Vessels from the Abdomen CTA Images by Hessian- Based Vessel Filter

C. Güzelı̇ş, 2009 .

An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things

C. Güzelı̇ş, Mert Nakıp, Kubı̇lay Karakayali, 2021, IEEE Access.

Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds

Baran Can Gül, C. Güzelı̇ş, Mert Nakıp, 2022, IEEE Access.

A 2-dimensional model of polynomial type for oscillatory ATM-Wipl dynamics in p53 network

Gökhan Demirkıran, C. Güzelı̇ş, G. K. Demir, 2017, 2017 10th International Conference on Electrical and Electronics Engineering (ELECO).

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

Simge Nur Aslan, C. Güzelı̇ş, A. Uçar, 2022, Journal of Ambient Intelligence and Humanized Computing.

Exploiting Chaos in Learning System Identification for Nonlinear State Space Models

C. Güzelı̇ş, M. Ölmez, 2015, Neural Processing Letters.

Hopfield networks for solving Tower of Hanoi problems

C. Güzelı̇ş, G. Kaplan, 2001 .

A recurrent perceptron learning algorithm for cellular neural networks

C. Güzeliş, C. Güzelı̇ş, S. Karamamut, 1999 .

A 2-dimensional reduced oscillator model with rational nonlinearities for p53 dynamics

Gökhan Demirkıran, C. Güzelı̇ş, G. K. Demir, 2017, 2017 10th International Conference on Electrical and Electronics Engineering (ELECO).

An automatic level set based liver segmentation from MRI data sets

Cüneyt Güzelis, Oguz Dicle, Evgin Göçeri, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Yakup Demir, Ayşegül Uçar, Cüneyt Güzeliş, 2014 .

A New Formulation for Classification by Ellipsoids

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2005, TAINN.

Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics.

Gökhan Demirkıran, Güleser Kalaycı Demir, C. Güzelı̇ş, 2018, IET systems biology.

A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case

Aslı TAşçi, Türker İnce, Cüneyt GüZELış, 2017, 2017 10th International Conference on Electrical and Electronics Engineering (ELECO).

Determining the bistability parameter ranges of artificially induced lac operon using the root locus method

Ferhan Pekergin, Cüneyt Güzelis, Güleser Kalayci Demir, 2015, Comput. Biol. Medicine.

Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method.

C. Güzelı̇ş, Neslihan Avcu, 2019, IET systems biology.

Numerically Efficient Analysis of a One-Dimensional Stochastic Lac Operon Model

Ferhan Pekergin, Nihal Pekergin, Cüneyt Güzelis, 2015, ISCIS.

Spatiotemporal chaotification of delta robot mixer for homogeneous graphene nanocomposite dispersing

Yalcin Isler, Savas Sahin, Ali Emre Kavur, 2020, Robotics Auton. Syst..

Analysis of input-output clustering for determining centers of RBFN

Zekeriya Uykan, Heikki N. Koivo, Mehmet Ertugrul Çelebi, 2000, IEEE Trans. Neural Networks Learn. Syst..

Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks

Cüneyt Güzelis, M. Alper Selver, C. Güzelı̇ş, 2011, Computational Methods for the Innovative Design of Electrical Devices.

Object recognition and detection with deep learning for autonomous driving applications

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2017, Simul..

Model-based robust chaotification using sliding mode control

Cüneyt Güzeliş, Aykut Kocaoğlu, C. Güzelı̇ş, 2014 .

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2014, Neural Computing and Applications.

Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks

Nurettin Acir, Cüneyt Güzelis, Mehmet Kuntalp, 2005, IEEE Transactions on Biomedical Engineering.

Automatic spike detection in EEG by a two-stage procedure based on support vector machines

Nurettin Acir, Cüneyt Güzelis, C. Güzelı̇ş, 2004, Comput. Biol. Medicine.

Automatic recognition of sleep spindles in EEG by using artificial neural networks

Nurettin Acir, Cüneyt Güzelis, C. Güzelı̇ş, 2004, Expert Syst. Appl..

Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation

Cüneyt Güzelis, M. Alper Selver, Aykut Kocaoglu, 2008, Comput. Biol. Medicine.

Modelling the Stroop effect: A connectionist approach

Neslihan Serap Sengör, Cüneyt Güzelis, Gülay Büyükaksoy Kaplan, 2007, Neurocomputing.

“Chaotification” of Real Systems by Dynamic State Feedback

Savaş Şahin, C. Güzelı̇ş, 2010, IEEE Antennas and Propagation Magazine.

An energy function-based design method for discrete hopfield associative memory with attractive fixed points

Jacek M. Zurada, Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, 2005, IEEE Transactions on Neural Networks.

A new design method for the complex-valued multistate Hopfield associative memory

Jacek M. Zurada, Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, 2003, IEEE Trans. Neural Networks.

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Y. Demir, C. Güzelı̇ş, A. Uçar, 2014, Neural Computing and Applications.

Application of evolutionary algorithms to garment design

Arzu Vuruskan, Cüneyt Güzelis, Türker Ince, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test

Neslihan Serap Sengör, Cüneyt Güzelis, Gülay Büyükaksoy Kaplan, 2006, Neural Networks.

Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network

C. Güzelı̇ş, Onur Çopur, Mert Nakıp, 2023, Applied Energy.

Stability analysis of generalized cellular neural networks

Leon O. Chua, Cüneyt Güzelis, L. Chua, 1993, Int. J. Circuit Theory Appl..

Integrating Segmentation Methods From Different Tools Into a Visualization Program Using an Object-Based Plug-In Interface

Cüneyt Güzelis, M. Alper Selver, Felix Fischer, 2010, IEEE Transactions on Information Technology in Biomedicine.

Stochastic Microgrid Control Problems: Effects of Load Distribution and Planning Horizon

Cüneyt Güzeliş, Önder Bulut, Ayşegül Kahraman, 2019, 2019 Innovations in Intelligent Systems and Applications Conference (ASYU).

Investigation of Chaotic Mixing Performance on Characteristic Properties of Cake Batter

Cüneyt Güzeliş, Savaş Şahin, Ruhan Aşkin Uzel, 2019, 2019 11th International Conference on Electrical and Electronics Engineering (ELECO).

A Multiscale Algorithm for Joint Forecasting–Scheduling to Solve the Massive Access Problem of IoT

Cüneyt Güzeliş, Volkan Rodoplu, Mert Nakıp, 2020, IEEE Internet of Things Journal.

Joint Forecasting-Scheduling for the Internet of Things

Cüneyt Güzeliş, Deniz Türsel Eliiyi, Volkan Rodoplu, 2019, 2019 IEEE Global Conference on Internet of Things (GCIoT).

Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication

Volkan Rodoplu, Cüneyt Güzeliş, Mert Nakip, 2019, CCIOT.

Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection

Nurettin Acir, Cüneyt Güzelis, Özcan Özdamar, 2006, Eng. Appl. Artif. Intell..

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, C. Güzelı̇ş, 2004, ADVIS.

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

Ayşegül Uçar, Simge Nur Aslan, Cüneyt Güzeliş, 2021, Cluster Computing.

Fuzzy Model Identification Using Support Vector Clustering Method

Cüneyt Güzelis, Yakup Demir, Aysegül Uçar, 2003, ICANN.

Development of Deep Learning Algorithm for Humanoid Robots to Walk to the Target Using Semantic Segmentation and Deep Q Network

Ayşegül Uçar, Simge Nur Aslan, Cüneyt Güzeliş, 2020, 2020 Innovations in Intelligent Systems and Applications Conference (ASYU).

Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability

Cüneyt Güzelis, Savas Sahin, Savaş Şahin, 2016, IEEE Transactions on Neural Networks and Learning Systems.

An Experience on Problem Based Learning in an Engineering Faculty

Cüneyt Güzeliş, C. Güzelı̇ş, 2006 .

APPLICATION OF A NEURO-FUZZY NETWORK WITH SUPPORT VECTOR LEARNING TO A SOLAR POWER PLANT

A. Dourado, Y. Demir, C. Güzelı̇ş, 2002 .

Steady-State Analysis of Nonlinearly Coupled Chua's Circuits with Periodic Input

F. Acar Savaci, Müstak E. Yalçin, Cüneyt Güzelis, 2003, Int. J. Bifurc. Chaos.