Cüneyt Güzelis
Orcid: 0000-0001-5416-368X
According to our database1,
Cüneyt Güzelis
authored at least 65 papers
between 1993 and 2024.
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Bibliography
2024
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence.
IEEE Access, 2024
2023
Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments.
J. Ambient Intell. Humaniz. Comput., 2023
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network.
CoRR, 2023
Proceedings of the Computer Performance Engineering and Stochastic Modelling, 2023
2022
Multi-Channel Subset Iteration with Minimal Loss in Available Capacity (MC-SIMLAC) Algorithm for Joint Forecasting-Scheduling in the Internet of Things.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2022
Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things.
J. Netw. Comput. Appl., 2022
New convolutional neural network models for efficient object recognition with humanoid robots.
J. Inf. Telecommun., 2022
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration.
Clust. Comput., 2022
Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds.
IEEE Access, 2022
Multi-Resolution Inter-Level Refinement (MR-ILR) Architecture for Anomaly Prediction in IoT Data.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022
2021
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things.
IEEE Access, 2021
IEEE Access, 2021
Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021
Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning.
Proceedings of the Intelligent Environments 2021, 2021
2020
Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems.
IEEE Trans. Veh. Technol., 2020
Spatiotemporal chaotification of delta robot mixer for homogeneous graphene nanocomposite dispersing.
Robotics Auton. Syst., 2020
Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems.
Neural Process. Lett., 2020
A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT.
IEEE Internet Things J., 2020
CoRR, 2020
Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
2019
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019
Proceedings of the 23rd International Conference on System Theory, Control and Computing, 2019
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication.
Proceedings of the 2019 4th International Conference on Cloud Computing and Internet of Things, 2019
2018
Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
2017
Object recognition and detection with deep learning for autonomous driving applications.
Simul., 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering.
Neural Comput. Appl., 2016
Design and implementation of chaotic system based robust delta robot for blending graphene nanoplatelets.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016
Moving towards in object recognition with deep learning for autonomous driving applications.
Proceedings of the International Symposium on INnovations in Intelligent SysTems and Applications, 2016
2015
Neural Process. Lett., 2015
Determining the bistability parameter ranges of artificially induced lac operon using the root locus method.
Comput. Biol. Medicine, 2015
Proceedings of the Information Sciences and Systems 2015, 2015
2013
J. Circuits Syst. Comput., 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
2012
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012
2011
Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks.
Proceedings of the Computational Methods for the Innovative Design of Electrical Devices, 2011
2010
Integrating segmentation methods from different tools into a visualization program using an object-based plug-in interface.
IEEE Trans. Inf. Technol. Biomed., 2010
2009
Semiautomatic Transfer Function Initialization for Abdominal Visualization Using Self-Generating Hierarchical Radial Basis Function Networks.
IEEE Trans. Vis. Comput. Graph., 2009
2008
Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation.
Comput. Biol. Medicine, 2008
2007
2006
IEEE Trans. Circuits Syst. II Express Briefs, 2006
A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test.
Neural Networks, 2006
Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection.
Eng. Appl. Artif. Intell., 2006
2005
An energy function-based design method for discrete hopfield associative memory with attractive fixed points.
IEEE Trans. Neural Networks, 2005
Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks.
IEEE Trans. Biomed. Eng., 2005
Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm.
Neural Comput. Appl., 2005
Proceedings of the Artificial Intelligence and Neural Networks, 14th Turkish Symposium, 2005
2004
IEEE Trans. Neural Networks, 2004
Neural Process. Lett., 2004
Expert Syst. Appl., 2004
Automatic spike detection in EEG by a two-stage procedure based on support vector machines.
Comput. Biol. Medicine, 2004
An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method.
Proceedings of the Advances in Information Systems, Third International Conference, 2004
2003
IEEE Trans. Neural Networks, 2003
Int. J. Bifurc. Chaos, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995
1993
J. Circuits Syst. Comput., 1993
Int. J. Circuit Theory Appl., 1993
Proceedings of the Chua's Circuit: A Paradigm for Chaos, 1993