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Alper Ozcan
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2020 – today
- 2024
- [j15]Alper Ozcan, Ömür Tosun, Emrah Donmez, Muhammad Sanwal:
Enhanced-TransUNet for ultrasound segmentation of thyroid nodules. Biomed. Signal Process. Control. 95: 106472 (2024) - [j14]Alper Ozcan, Ahmet Kasif, Ismail Veli Sezgin, Cagatay Catal, Muhammad Sanwal, Hasan Merdun:
Deep learning-based modelling of pyrolysis. Clust. Comput. 27(1): 1089-1108 (2024) - [j13]Ahmet Kasif, Selcuk Sevgen, Alper Ozcan, Cagatay Catal:
Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation. Multim. Tools Appl. 83(10): 30297-30317 (2024) - [c7]Cevher Özden, Alper Özcan:
Seasonality Aware Topological Graph Neural Network for Recommender Systems. SIU 2024: 1-4 - 2023
- [j12]Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif:
Analysis of cyber security knowledge gaps based on cyber security body of knowledge. Educ. Inf. Technol. 28(2): 1809-1831 (2023) - [j11]Cagatay Catal, Alper Ozcan, Emrah Donmez, Ahmet Kasif:
Correction to: Analysis of cyber security knowledge gaps based on cyber security body of knowledge. Educ. Inf. Technol. 28(2): 2405 (2023) - [j10]Otman Baturay Bayram, Alper Ozcan:
Determining optimal paths of virtual links in Avionics Full-Duplex Switched Ethernet networks using modified ant colony optimization algorithm. Expert Syst. Appl. 229(Part A): 120433 (2023) - [j9]Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan:
Structural and topological guided GCN for link prediction in temporal networks. J. Ambient Intell. Humaniz. Comput. 14(7): 9667-9675 (2023) - [j8]Abubakhari Sserwadda, Alper Ozcan, Yusuf Yaslan:
Topological Similarity and Centrality Driven Hybrid Deep Learning for Temporal Link Prediction. J. Univers. Comput. Sci. 29(5): 470-490 (2023) - [j7]Alper Ozcan, Cagatay Catal, Emrah Donmez, Behcet Senturk:
A hybrid DNN-LSTM model for detecting phishing URLs. Neural Comput. Appl. 35(7): 4957-4973 (2023) - [j6]Ahmet Muhammed Guraksin, Alper Ozcan:
ACO-based approach for integrating product lifecycle management with MRO services in aviation industry. Soft Comput. 27(1): 337-361 (2023) - 2022
- [j5]Necip Cinar, Alper Ozcan, Mehmet Kaya:
A hybrid DenseNet121-UNet model for brain tumor segmentation from MR Images. Biomed. Signal Process. Control. 76: 103647 (2022) - [c6]Alper Ozcan, Bilgehan Emiral, Ayse Betul Cetin:
Deep Hotel Recommender System Using Aspect-based Sentiment Analysis of Users' Reviews. ICPR 2022: 3090-3096 - [c5]Otman Baturay Bayram, Alper Özcan:
Optimal Redundant Routing of Virtual Links for Avionics Full-Duplex Switched Ethernet Network. SIU 2022: 1-4 - 2021
- [j4]Alper Ozcan, Cagatay Catal, Ahmet Kasif:
Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network. Sensors 21(21): 7115 (2021) - 2020
- [j3]Alper Özcan, Çagatay Çatal, Cengiz Togay, Bedir Tekinerdogan, Emrah Dönmez:
Assessment of environmental factors affecting software reliability: a survey study. Turkish J. Electr. Eng. Comput. Sci. 28(4): 1841-1858 (2020) - [c4]Didem Türker, Alper Özcan, Sule Gündüz Ögüdücü:
Deep Hybrid Recommender System. SIU 2020: 1-4
2010 – 2019
- 2019
- [j2]Alper Ozcan, Sule Gündüz Ögüdücü:
Multivariate Time Series Link Prediction for Evolving Heterogeneous Network. Int. J. Inf. Technol. Decis. Mak. 18(1): 241-286 (2019) - 2018
- [j1]Alper Ozcan, Sule Gündüz Ögüdücü:
Link prediction in evolving heterogeneous networks using the NARX neural networks. Knowl. Inf. Syst. 55(2): 333-360 (2018) - 2017
- [b1]Alper Özcan:
Homojen ve heterojen evrimsel sosyal ağlarda bağlantı tahmini (Link prediction in evolving homogeneous and heterogeneous networks). İstanbul Technical University, Turkey, 2017 - [c3]Alper Ozcan, Sule Gündüz Ögüdücü:
Supervised temporal link prediction using time series of similarity measures. ICUFN 2017: 519-521 - 2016
- [c2]Alper Ozcan, Sule Gündüz Ögüdücü:
Temporal Link Prediction Using Time Series of Quasi-Local Node Similarity Measures. ICMLA 2016: 381-386 - 2015
- [c1]Alper Ozcan, Sule Gündüz Ögüdücü:
Multivariate temporal Link Prediction in evolving social networks. ICIS 2015: 185-190
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last updated on 2024-10-07 21:14 CEST by the dblp team
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