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ORCIDHakan Gunduz
Person information
- affiliation: Bandirma Onyedi Eylul University, Software Engineering Department, Balikesir, Turkey
- affiliation (2011-2018): Duzce University, Computer Engineering Department, Turkey
- affiliation (PhD 2019): Istanbul Technical University, Computer Engineering Department, Turkey
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2020 – today
- 2022
[j7]Hakan Gündüz, Sahin Sönmez, Saffet Ayasun:
Identification of gain and phase margins based robust stability regions for atime-delayed micro-grid system including fractional-order controller in presenceof renewable power generation. Turkish J. Electr. Eng. Comput. Sci. 30(3): 1097-1114 (2022)- [j6]Hakan Gunduz
:
Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs. PeerJ Comput. Sci. 8: e988 (2022) - 2021
- [j5]Hakan Gunduz:
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification. Biomed. Signal Process. Control. 66: 102452 (2021)
2010 – 2019
- 2019
- [b1]Hakan Gunduz:
Derin öğrenme yöntemleri ile zaman serisi tahmini (Time series classification with deep learning methods). İstanbul Technical University, Turkey, 2019 - [j4]Hakan Gunduz:
Deep Learning-Based Parkinson's Disease Classification Using Vocal Feature Sets. IEEE Access 7: 115540-115551 (2019) - 2018
- [c6]Hakan Gündüz, Yusuf Yaslan, Zehra Cataltepe:
Stock market prediction with deep learning using financial news. SIU 2018: 1-4 - 2017
- [j3]Hakan Gündüz, Zehra Çataltepe, Yusuf Yaslan:
Stock daily return prediction using expanded features and feature selection. Turkish J. Electr. Eng. Comput. Sci. 25: 4829-4840 (2017) - [j2]Hakan Gunduz, Yusuf Yaslan, Zehra Cataltepe:
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations. Knowl. Based Syst. 137: 138-148 (2017) - [c5]Hakan Gunduz, Zehra Cataltepe, Yusuf Yaslan:
Stock market direction prediction using deep neural networks. SIU 2017: 1-4 - 2016
- [c4]Hakan Gündüz, Ibrahim Süzer:
An Extension to Local Network Alignment using Hidden Markov Models (HMMs). BIOINFORMATICS 2016: 253-257 - [c3]Hakan Gündüz, Osman Hilmi Koçal:
Image search system with feedback. SIU 2016: 1009-1012 - 2015
- [j1]Hakan Gunduz, Zehra Cataltepe:
Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection. Expert Syst. Appl. 42(22): 9001-9011 (2015) - [c2]Esra Gulsen, Hakan Gündüz, Zehra Cataltepe, Levent Serinol:
Big data feature selection and projection for gender prediction based on user web behaviour. SIU 2015: 1545-1548 - 2014
- [c1]Hakan Gündüz, Rusen Halepmollasi, Ömer Sinan Saraç:
Glasses detection in face images using histogram of Oriented Gradients. SIU 2014: 1889-1892
Coauthor Index
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last updated on 2024-04-21 17:05 CEST by the dblp team
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