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Cüneyt Güzelis
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2020 – today
- 2024
- [j43]Recep Ozalp
, Aysegül Uçar
Advancements in Deep Reinforcement Learning and Inverse Reinforcement Learning for Robotic Manipulation: Toward Trustworthy, Interpretable, and Explainable Artificial Intelligence. IEEE Access 12: 51840-51858 (2024) - [j42]Pervin Bulucu
Multi-Sensor E-Nose Based on Online Transfer Learning Trend Predictive Neural Network. IEEE Access 12: 71442-71452 (2024) - [j41]Mert Nakip
Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization. Appl. Soft Comput. 164: 112023 (2024) - [j40]Erdem Çakan
Data fusion integrated network forecasting scheme classifier (DFI-NFSC) via multi-layer perceptron decomposition architecture. Internet Things 28: 101341 (2024) - [j39]Mehmet Ugur Soydemir, Savas Sahin
Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum. Neural Comput. Appl. 36(18): 10881-10896 (2024) - 2023
- [j38]Simge Nur Aslan
Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. J. Ambient Intell. Humaniz. Comput. 14(9): 12673-12695 (2023) - [c23]Adrien Le Coënt, Benoît Barbot
Bayesian Networks as Approximations of Biochemical Networks. EPEW 2023: 216-233 - [c22]Alper Saylam, Cüneyt Güzelis, Volkan Rodoplu:
Machine Learning Enabled Sleep Time Estimation (MLE-STE) Architecture for Indoor Positioning in Energy-Efficient Mobile Internet of Things. WF-IoT 2023: 1-6 - [i2]Mert Nakip, Onur Çopur, Emrah Biyik, Cüneyt Güzelis:
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. CoRR abs/2307.01622 (2023) - 2022
- [j37]Mert Nakip
Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds. IEEE Access 10: 55602-55615 (2022) - [j36]Simge Nur Aslan
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration. Clust. Comput. 25(3): 1575-1590 (2022) - [j35]Simge Nur Aslan
New convolutional neural network models for efficient object recognition with humanoid robots. J. Inf. Telecommun. 6(1): 63-82 (2022) - [j34]Mert Nakip
Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things. J. Netw. Comput. Appl. 201: 103360 (2022) - [j33]Arif Kerem Dayi, Volkan Rodoplu, Mert Nakip
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. 13(2): 68-95 (2022) - [c21]Rifat Orhan Çikmazel, Alper Saylam, Volkan Rodoplu, Cüneyt Güzelis:
Multi-Resolution Inter-Level Refinement (MR-ILR) Architecture for Anomaly Prediction in IoT Data. INISTA 2022: 1-6 - 2021
- [j32]Mert Nakip
Recurrent Trend Predictive Neural Network for Multi-Sensor Fire Detection. IEEE Access 9: 84204-84216 (2021) - [j31]Mert Nakip
An End-to-End Trainable Feature Selection-Forecasting Architecture Targeted at the Internet of Things. IEEE Access 9: 104011-104028 (2021) - [c20]Simge Nur Aslan, Burak Tasçi
Learning to Move an Object by the Humanoid Robots by Using Deep Reinforcement Learning. Intelligent Environments (Workshops) 2021: 143-155 - [c19]Mert Nakip
Subspace-Based Emulation of the Relationship Between Forecasting Error and Network Performance in Joint Forecasting-Scheduling for the Internet of Things. WF-IoT 2021: 247-252 - 2020
- [j30]Volkan Rodoplu
A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT. IEEE Internet Things J. 7(9): 8572-8589 (2020) - [j29]Parvin Bulucu, Mehmet Ugur Soydemir
Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems. Neural Process. Lett. 52(1): 353-383 (2020) - [j28]Savas Sahin
Spatiotemporal chaotification of delta robot mixer for homogeneous graphene nanocomposite dispersing. Robotics Auton. Syst. 134: 103633 (2020) - [j27]Tugçe Toprak
Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems. IEEE Trans. Veh. Technol. 69(5): 5041-5054 (2020) - [c18]Simge Nur Aslan, Recep Ozalp
End-To-End Learning from Demonstation for Object Manipulation of Robotis-Op3 Humanoid Robot. INISTA 2020: 1-6 - [c17]Simge Nur Aslan, Aysegül Uçar, Cüneyt Güzelis:
Fast Object Recognition for Humanoid Robots by Using Deep Learning Models with Small Structure. INISTA 2020: 1-7 - [i1]Mert Nakip, Onur Çopur, Cüneyt Güzelis:
Curse of Small Sample Size in Forecasting of the Active Cases in COVID-19 Outbreak. CoRR abs/2011.03628 (2020)
2010 – 2019
- 2019
- [c16]Mert Nakip
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication. CCIOT 2019: 102-109 - [c15]Parvin Bulucu, Mehmet Ugur Soydemir
Performance Analysis of Stable Adaptive NARMA Controller Scheme for Furuta Pendulum. ICSTCC 2019: 350-354 - [c14]Recen Özaln, Çagri Kaymak
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion. INISTA 2019: 1-5 - 2018
- [j26]Neslihan Avcu
Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 813-827 (2018) - 2017
- [j25]Aysegül Uçar
Object recognition and detection with deep learning for autonomous driving applications. Simul. 93(9): 759-769 (2017) - 2016
- [j24]Aysegül Uçar
A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering. Neural Comput. Appl. 27(1): 131-142 (2016) - [j23]Savas Sahin
Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2314-2326 (2016) - [c13]Aysegül Uçar
Moving towards in object recognition with deep learning for autonomous driving applications. INISTA 2016: 1-5 - [c12]Ali Emre Kavur, Sibel Demiroglu Mustafov, M. Ozgur Seydibeyoglu
Design and implementation of chaotic system based robust delta robot for blending graphene nanoplatelets. MMAR 2016: 235-240 - 2015
- [j22]Neslihan Avcu, H. Alyürük
Determining the bistability parameter ranges of artificially induced lac operon using the root locus method. Comput. Biol. Medicine 61: 75-91 (2015) - [j21]Mehmet Ölmez
Exploiting Chaos in Learning System Identification for Nonlinear State Space Models. Neural Process. Lett. 41(1): 29-41 (2015) - [c11]Neslihan Avcu, Nihal Pekergin, Ferhan Pekergin, Cüneyt Güzelis:
Numerically Efficient Analysis of a One-Dimensional Stochastic Lac Operon Model. ISCIS 2015: 261-271 - 2013
- [j20]Savas Sahin
A Dynamical State Feedback Chaotification Method with Application on liquid mixing. J. Circuits Syst. Comput. 22(7) (2013) - [c10]Türker Ince
Application of evolutionary algorithms to garment design. SIU 2013: 1-4 - 2012
- [c9]Evgin Göçeri
An automatic level set based liver segmentation from MRI data sets. IPTA 2012: 192-197 - 2011
- [p2]M. Alper Selver
Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks. Computational Methods for the Innovative Design of Electrical Devices 2011: 147-166 - 2010
- [j19]Felix Fischer, M. Alper Selver
Integrating segmentation methods from different tools into a visualization program using an object-based plug-in interface. IEEE Trans. Inf. Technol. Biomed. 14(4): 923-934 (2010)
2000 – 2009
- 2009
- [j18]M. Alper Selver
Semiautomatic Transfer Function Initialization for Abdominal Visualization Using Self-Generating Hierarchical Radial Basis Function Networks. IEEE Trans. Vis. Comput. Graph. 15(3): 395-409 (2009) - 2008
- [j17]M. Alper Selver
Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation. Comput. Biol. Medicine 38(7): 765-784 (2008) - 2007
- [j16]Gülay Büyükaksoy Kaplan, Neslihan Serap Sengör
Modelling the Stroop effect: A connectionist approach. Neurocomputing 70(7-9): 1414-1423 (2007) - 2006
- [j15]Nurettin Acir, Özcan Özdamar, Cüneyt Güzelis:
Automatic classification of auditory brainstem responses using SVM-based feature selection algorithm for threshold detection. Eng. Appl. Artif. Intell. 19(2): 209-218 (2006) - [j14]Gülay Büyükaksoy Kaplan, Neslihan Serap Sengör
A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test. Neural Networks 19(4): 375-387 (2006) - [j13]Hatice Dogan
Robust and Fuzzy Spherical Clustering by a Penalty Parameter Approach. IEEE Trans. Circuits Syst. II Express Briefs 53-II(8): 637-641 (2006) - 2005
- [j12]Nurettin Acir, Cüneyt Güzelis:
Automatic recognition of sleep spindles in EEG via radial basis support vector machine based on a modified feature selection algorithm. Neural Comput. Appl. 14(1): 56-65 (2005) - [j11]Nurettin Acir, Ibrahim Öztura, Mehmet Kuntalp, Baris Baklan, Cüneyt Güzelis:
Automatic detection of epileptiform events in EEG by a three-stage procedure based on artificial neural networks. IEEE Trans. Biomed. Eng. 52(1): 30-40 (2005) - [j10]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada:
An energy function-based design method for discrete hopfield associative memory with attractive fixed points. IEEE Trans. Neural Networks 16(2): 370-378 (2005) - [c8]Aysegül Uçar
A New Formulation for Classification by Ellipsoids. TAINN 2005: 100-106 - 2004
- [j9]Nurettin Acir, Cüneyt Güzelis:
Automatic spike detection in EEG by a two-stage procedure based on support vector machines. Comput. Biol. Medicine 34(7): 561-575 (2004) - [j8]Nurettin Acir, Cüneyt Güzelis:
Automatic recognition of sleep spindles in EEG by using artificial neural networks. Expert Syst. Appl. 27(3): 451-458 (2004) - [j7]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis:
Associative Memory Design via Path Embedding into a Graph. Neural Process. Lett. 19(3): 205-209 (2004) - [j6]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis:
A Boolean Hebb rule for binary associative memory design. IEEE Trans. Neural Networks 15(1): 195-202 (2004) - [c7]Nurettin Acir, Cüneyt Güzelis:
An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method. ADVIS 2004: 462-471 - 2003
- [j5]F. Acar Savaci
Steady-State Analysis of Nonlinearly Coupled Chua's Circuits with Periodic Input. Int. J. Bifurc. Chaos 13(11): 3395-3407 (2003) - [j4]Mehmet Kerem Müezzinoglu, Cüneyt Güzelis, Jacek M. Zurada:
A new design method for the complex-valued multistate Hopfield associative memory. IEEE Trans. Neural Networks 14(4): 891-899 (2003) - [c6]Aysegül Uçar
Fuzzy Model Identification Using Support Vector Clustering Method. ICANN 2003: 225-233 - [c5]Hatice Dogan, Cüneyt Güzelis:
A Gradient Network for Vector Quantization and Its Image Compression Applications. ICANN 2003: 554-561 - 2000
- [j3]Zekeriya Uykan
Analysis of input-output clustering for determining centers of RBFN. IEEE Trans. Neural Networks Learn. Syst. 11(4): 851-858 (2000)
1990 – 1999
- 1997
- [c4]Mehmet Ertugrul Çelebi, Cüneyt Güzelis:
Efficient image restoration using cellular neural networks. ICASSP 1997: 3409-3412 - 1995
- [c3]Bilge Günsel
Supervised learning of smoothing parameters in image restoration by regularization under cellular neural networks framework. ICIP 1995: 470-473 - [c2]Cüneyt Güzelis, S. Karamahmut:
Recurrent perceptron learning algorithm for CNNs with application to edge detection. ICNN 1995: 1134-1139 - [c1]Mehmet Ertugrul Çelebi, Cüneyt Güzelis:
Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images. ICNN 1995: 1913-1918 - 1993
- [j2]Cüneyt Güzelis, Leon O. Chua:
Stability analysis of generalized cellular neural networks. Int. J. Circuit Theory Appl. 21(1): 1-33 (1993) - [j1]Cüneyt Güzelis:
Chaotic Cellular Neural Networks Made of Chua's Circuits. J. Circuits Syst. Comput. 3(2): 603-612 (1993) - [p1]Cüneyt Güzelis:
Chaotic Cellular Neural Networks Made of Chua's Circuits. Chua's Circuit 1993: 952-961
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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