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Author search results
Exact matches
- Hakan Gunduz
aka: Hakan Gündüz
Bandirma Onyedi Eylul University, Software Engineering Department, Balikesir, Turkey
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Publication search results
found 27 matches
- 2024
- Joe Oakley, Chris Conlan, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu:
Foresight plus: serverless spatio-temporal traffic forecasting. GeoInformatica 28(4): 649-677 (2024) - Hakan Gunduz:
Comparative analysis of BERT and FastText representations on crowdfunding campaign success prediction. PeerJ Comput. Sci. 10: e2316 (2024) - 2023
- Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks. ACM Trans. Spatial Algorithms Syst. 9(2): 12:1-12:30 (2023) - Chris Conlan, Joe Oakley, Gunduz Vehbi Demirci, Alexandros Sfyridis, Hakan Ferhatosmanoglu:
Real-Time Spatio-Temporal Forecasting with Dynamic Urban Event and Vehicle-Level Flow Information. EDBT/ICDT Workshops 2023 - Arda Gulersoy, Ahmet Berk Tuzcu, Doga Gunduzalp, Koray Kavakli, Abdullah Kucukoduk, Umit Yasar Guleser, Ugur Aygun, Murat Hasanreisoglu, Afsun Sahin, Hakan Urey:
Wearable multi-color RAPD screening device. CoRR abs/2304.05182 (2023) - 2022
- 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) - Hakan Gunduz:
Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs. PeerJ Comput. Sci. 8: e988 (2022) - Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. Proc. VLDB Endow. 16(4): 711-724 (2022) - Aparajita Haldar, Shuang Wang, Gunduz Vehbi Demirci, Joe Oakley, Hakan Ferhatosmanoglu:
Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications. CoRR abs/2203.14925 (2022) - Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. CoRR abs/2212.05009 (2022) - 2021
- 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) - Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Collective shortest paths for minimizing congestion on temporal load-aware road networks. IWCTS@SIGSPATIAL 2021: 1:1-1:10 - Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. ICS 2021: 254-265 - Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Partitioning sparse deep neural networks for scalable training and inference. CoRR abs/2104.11805 (2021) - Chris Conlan, Teddy Cunningham, Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu:
Collective Shortest Paths for Minimizing Congestion on Temporal Load-Aware Road Networks. CoRR abs/2110.09937 (2021) - 2019
- Hakan Gunduz:
Derin öğrenme yöntemleri ile zaman serisi tahmini (Time series classification with deep learning methods). İstanbul Technical University, Turkey, 2019 - Hakan Gunduz:
Deep Learning-Based Parkinson's Disease Classification Using Vocal Feature Sets. IEEE Access 7: 115540-115551 (2019) - Gunduz Vehbi Demirci, Hakan Ferhatosmanoglu, Cevdet Aykanat:
Cascade-aware partitioning of large graph databases. VLDB J. 28(3): 329-350 (2019) - 2018
- Hakan Gündüz, Yusuf Yaslan, Zehra Cataltepe:
Stock market prediction with deep learning using financial news. SIU 2018: 1-4 - 2017
- 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) - 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) - Hakan Gunduz, Zehra Cataltepe, Yusuf Yaslan:
Stock market direction prediction using deep neural networks. SIU 2017: 1-4 - 2016
- Hakan Gündüz, Ibrahim Süzer:
An Extension to Local Network Alignment using Hidden Markov Models (HMMs). BIOINFORMATICS 2016: 253-257 - Hakan Gündüz, Osman Hilmi Koçal:
Image search system with feedback. SIU 2016: 1009-1012 - 2015
- Hakan Gunduz, Zehra Cataltepe:
Borsa Istanbul (BIST) daily prediction using financial news and balanced feature selection. Expert Syst. Appl. 42(22): 9001-9011 (2015) - 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
- Hakan Gündüz, Rusen Halepmollasi, Ömer Sinan Saraç:
Glasses detection in face images using histogram of Oriented Gradients. SIU 2014: 1889-1892
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