2026
Journal Papers:
Erkantarci, B., Şen, T. Ü., & Bakal, G. (2026). AI-driven drug repositioning: A diffusion model approach on knowledge graphs. Journal of Computational Science, 97, 102862.
Yasin Görmez, Mostafa Sabzekar, Zafer Aydın, "GraphUnet-SS: a novel deep learning model for protein seconday structure prediction based on U-Net architecture," Computers in Biology and Medicine, 205:111598, 1 April 2026.
Yasin Güzel, Zafer Aydın, Muhammed Fatih Talu, "Frequency-based occlusion awareness instance segmentation," Mathematics, 14(5), 792, 26 February 2026.
H. Akkaş, B. Kolukısa, B. Bakir-Gungor, “An Attention-Based Autoencoder Model with Gated Recurrent Unit for Stock Price Movement Prediction”, 2026, International Journal of Computational Intelligence Systems.
B. Canakcimaksutoglu, N. S. Ersoz, B. Bakir-Gungor, M. Yousef, “Discovering Potential Taxonomic Biomarkers of Gastrointestinal Cancers from Various Human Microbiota via G-S-M Machine Learning Approach”, 2026, Applied Sciences.
B. Adanur, A. Soran, B. Bakir-Gungor, “GenShare: A Blockchain-Based Genomic Data Sharing Platform”, 2026, Distributed Ledger Technologies.
M. Etcil, B. Kolukisa, B. Bakir-Gungor, “An Explainable Machine Learning Approach Using Fundamental Ratios For Stock Return Prediction And Portfolio Rebalancing” , 2026, Kahramanmaras Sutcu Imam University Journal of Engineering Sciences.
Conference Papers:
A. Kose , "MACOL-x: Multi-Agent Conflict Learning for xApp Coordination in Open RAN," 2026 32nd International Conference on Telecommunications (ICT), Thessaloniki, Greece, 2026, pp. 401-406, doi: 10.1109/ICT70370.2026.11594669.
U. Yigit, A. Akbas, A. Kose , C. H. Foh and M. Shojafar, "AI Explainability for Adaptive Mmwave Beam Configuration in Dynamic Vehicular Environments," 2026 IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2026, pp. 1-6, doi: 10.1109/WCNC65185.2026.11555461.
F. Yener, M. Duman and G. Bakal, "Retrieval-Augmented Generation for Technical Intelligence in Aerospace and Defense Systems," 2026 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), Ankara, Turkiye, 2026
M. Etcil and G. Bakal, "Enhancing Trust in Automated Fact-Checking: Claim Veracity Classification Via Transformers and Explainable AI," 2026 8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), Ankara, Turkiye, 2026
Osman Oğuz, Zafer Aydın, Burcu Bakır Güngör, Dinçer Göksülük, “Integrated machine learning and genomic analysis for breast cancer survival prediction,” Cumhuriyet 17th International Congress on Applied Sciences, 57, Ankara, Türkiye, 23 April 2026.
M.Etcil, B. Kolukısa, B. Bakir-Gungor, "Explainable Machine Learning for Cross-Sectional Stock Return Prediction and Mean–Variance Portfolio Optimization", SIU 2026, İstanbul, Türkiye, July 7-10, 2026.
U. Kaya, B. K. Dedeturk, B. Bakir-Gungor, “Artificial Bee Colony-Based Portfolio Optimization and Hybrid Risk Management with Deep Reinforcement Learning”, SIU 2026, İstanbul, Türkiye, July 7-10, 2026.
R.S. Dogan, B. Bakir-Gungor, M. Yousef, “A Multi-Omics Consensus Network Framework Identifies Dysbiotic Functional Communities”, IWBBIO 2026, Gran Canaria, Spain, July 15-17.
D. Parlak Sonmez, B. Bakir-Gungor, M. Yousef, “A Statistical q-Value–Based Grouping–Scoring–Modeling Framework for Colorectal Cancer Prediction Using Metagenomic Data”, IWBBIO 2026, Gran Canaria, Spain, July 15-17.
D. Voskergian, E. Qumsiyeh, B. Bakir-Gungor, M. Yousef, “ScoreTNT: Enhancing TextNetTopics with Classifier-Diverse and Ensemble Topic Scoring for Text Classification”, IWBBIO 2026, Gran Canaria, Spain, July 15-17.
H. Akkaş, B. Kolukısa, M. Etcil, B. Bakir-Gungor, “Hybrid Stock Price Prediction Using Variational Mode Decomposition and Evolutionary LSTM: A Differential Evolution Approach”, INFUS 2026, Ankara, Türkiye, July 7-9, 2026.
E.N. Yılmaz, D. Deniz, B. Bakir-Gungor, M. Coskun, “Robustness of Guided Spectral Graph Neural Networks in Signalized Urban Environments: A Case Study”, INFUS 2026, Ankara, Türkiye, July 7-9, 2026.
E. Qumsiyeh, D. Voskergian, B. Bakir-Gungor, M. Yousef, “Enhancing Pathway–Disease Gene Group Modeling with PathDisGene: A Multi-Algorithm Machine Learning Framework”, INFUS 2026, Ankara, Türkiye, July 7-9, 2026.
D. Parlak Sonmez, B. Bakir-Gungor, M. Yousef, “A q-Value–Guided Grouping–Scoring–Modeling Framework for Discovering Anticancer Peptides Effective Against Breast and Lung Cancer”, INFUS 2026, Ankara, Türkiye, July 7-9, 2026.
A.K. Tumer, Ü.G. Söylemez, B. Bakir-Gungor, M. Yousef, “Predicting Prediabetes Risk with Machine Learning and Deep Learning Algorithms: a study based on Korea National health and nutrition examination survey data”, INFUS 2026, Ankara, Türkiye, July 7-9, 2026.
D. Parlak Sonmez, B. Bakir-Gungor, M. Yousef, “Improving Antimicrobial Peptide Classification via k-Means and q-value Guided Feature Grouping and Ranking”, 39th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2026), Limassol, Cyprus, June 03-05, 2026.
D. Parlak Sönmez, Burcu Bakir-Gungor, Malik Yousef, “AMP-zGSM: A z-Scoring Enhanced Grouping–Scoring–Modeling Framework for Antimicrobial Peptide Prediction”, 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), BIOINFORMATICS, March 2-4 2026, Marbella, Spain.
2025
Journal Papers:
Yasin Güzel, Zafer Aydın, "A comparative study of UNet variants for low-grade glioma segmentation in magnetic resonance imaging," İnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksekokulu Dergisi, 13(2):344-355, 25 June 2025.
Banu Çiçek Tez, Yasin Güzel, Bahar Başak Kızıltan Eliaçık, Zafer Aydın, "Deep-Learning-Based AI-Model for Predicting Dental Plaque in the Young Permanent Teeth of Children Aged 8–13 Years," Children, 12(4):475, 7 April 2025.
Güzel, Ö. F., Tanrıverdi, H., & Bakal, M. G. (2025). Generating informative chest X-ray captions with LSTM architecture. Journal of Innovative Engineering and Natural Science, 5(2), 477-489.
Şen, T. Ü., Yakit, M. C., Gümüş, M. S., Abar, O., & Bakal, G. (2025). Combining N-grams and graph convolution for text classification. Applied Soft Computing, 175, 113092.
Cicekyurt, E., & Bakal, G. (2025). Enhancing sentiment analysis in stock market tweets through BERT-based knowledge transfer. Computational Economics, 1-23.
Sungur, K. S., & Bakal, G. (2025). Beyond visual cues: Emotion recognition in images with text-aware fusion. Displays, 102958.
C. Kuzudisli, B. Bakir-Gungor, B. Qaqish, M. Yousef, “RCE-IFE: Recursive Cluster Elimination with Intra-cluster Feature Elimination”, 2025, PeerJ Computer Science, 11: e2528, https://doi.org/10.7717/peerj-cs.2528
M. Unlu Yazici, J. S. Marron, B. Bakir-Gungor, F. Zou, M. Yousef, “3Mont: A Multi-Omics Integrative Tool for Breast Cancer Subtype Stratification”, 2025, PLoS One, 20(6): e0326154, https://doi.org/10.1371/journal.pone.0326154
B. Adanur, A. Soran, B. Bakir-Gungor, “GenShare: Genomic Data Sharing Platform Using a Blockchain-Based Approach”, 2025, Distributed Ledger Technologies, https://doi.org/10.1145/374369
B. Bakir-Gungor, N. Ş. Ersöz, M. Yousef, “Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data”, 2025, Applied Sciences, 15, 2940, https://doi.org/10.3390/app15062940
M. Etcil, B. K. Dedeturk, B. Kolukisa, B. Bakir-Gungor and V. C. Gungor, “Breast cancer detection using a new parallel hybrid logistic regression model trained by particle swarm optimization and clonal selection algorithms”, 2025, Concurrency and Computation: Practice and Experience, 37 (12-14), e70107, https://doi.org/10.1002/cpe.70107
D. Voskergian, B. Bakir-Gungor, M. Yousef, “Predicting Diabetes Complications from Electronic Health Record Visits Using Machine Learning Algorithms”, 2025, Frontiers in Genetics, 16:1451290, https://doi.org/10.3389/fgene.2025.1451290 .
B. Bakir-Gungor, M. Temiz, B. Canakcimaksutoglu, M. Yousef, “Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling approach”, 2025, Computers in Biology and Medicine.
Suarez del Valle, R.; Kose, A.; Lee, H. Context-Aware Beam Selection for IRS-Assisted mmWave V2I Communications. Sensors 2025, 25, 3924. https://doi.org/10.3390/s25133924
Conference Papers:
Giovanni Berselli, Xenophon Zabulis, Zafer Aydın, Michael Winokur, Natalia Bukhshtaber, Dan Kohen-Vacs, Pavel Trifonov, Yael Dubinsky, “Toward AI-enhanced robotics and smart platforms for sustainable agriculture and wetland coexistence,” International Congress on Smart Agriculture and Sustainable Systems, SmartAgri and SuSY, 1-6, Marrakech, Morocco, 5-9 December 2025.
N.S. Ersoz, B. Bakir-Gungor, M. Yousef, “Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning”, 18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), BIOINFORMATICS, February 20-22, 2025 Porto, Portugual.
M. Khokhar, B. Bakir-Gungor, M. Yousef, “Enhancing Genomic Data Analysis with Pre-Scoring Component: A new Pre-Scoring Component for the G-S-M Framework”, BIOSTEC, BIOINFORMATICS, February 20-22, 2025 Porto, Portugual.
E. Qumsiyeh, B. Bakir-Gungor, M. Yousef, “PathDisGene: Discovering Informative Gene Groups for Disease Diagnosis Using Pathway-Disease and a Grouping, Scoring, Modeling-Based Machine Learning Approach”, BIOSTEC, BIOINFORMATICS, February 20-22, 2025 Porto, Portugual.
Çoban, M. K., & Bakal, G. (2025, May). NLP-Driven Fake News Detection: A Machine Learning Perspective. In 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) (pp. 1-6). IEEE.
Kütük, F., Durmuş, A., Karaköse, E., & Kurban, R., (2025). Scheduling Pressure Reducing Valves for Reducing Water-Leakage in Urban Networks Using K-Means Algorithm . 2nd International Conference on Engineering, Natural Sciences, and Technological Developments (ICENSTED 2025) (pp.352-360). Bayburt, Turkey
Erkantarcı, B., Kurban, R., Bakal, M. G., & Köse, A., (2025). A Comprehensive Investigation into Strip Steel Defect Detection using Traditional Machine Learning and Deep Learning Models . 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) (pp.1-4). Ankara, Turkey
2024
Hilal Hacılar, Zafer Aydın, Vehbi Çağrı Güngör, "Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software defined networking (SDN) network traffics," Turkish Journal of Electrical Engineering and Computer Sciences, 32(4):623-640, 26 July 2024.
Yengec-Tasdemir, S. B., Aydin, Z., Akay, E., Dogan, S., & Yilmaz, B. (2024). An effective colorectal polyp classification for histopathological images based on supervised contrastive learning. Computers in Biology and Medicine, 172, 108267.
Cini, N., & Aydin, Z. (2024). A Deep Ensemble Approach for Long-Term Traffic Flow Prediction. Arabian Journal for Science and Engineering, 1-16.
Bozkurt, B., Coskun, K., & Bakal, G. (2024). Building a challenging medical dataset for comparative evaluation of classifier capabilities. Computers in Biology and Medicine, 178, 108721.
Mahmood, R. S., Bakal, M. G., & Akbaş, A. (2024). Document Classification with Contextually Enriched Word Embeddings. Balkan Journal of Electrical and Computer Engineering, 12(1), 90-97.
Söylemez, Ü. G., Yousef, M., & Bakir-Gungor, B. (2024). Novel Antimicrobial Peptide Design Using Motif Match Score Representation. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Dedeturk, B. A., & Bakir-Gungor, B. (2024). Aguhyper: a hyperledger-based electronic health record management framework. PeerJ Computer Science, 10, e2060.
Kuzudisli, C., Bakir-Gungor, B., Qaqish, B., & Yousef, M. (2024). RCE-IFE: Recursive Cluster Elimination with Intra-cluster Feature Elimination. bioRxiv, 2024-02.
Büyükkürkçü, H., Durmuş, A., Çolak, H., Kurban, R., Şahmetlioğlu, E., & Karaköse, E. (2024). Investigation of the performance and properties of ZnO/GO double-layer supercapacitor. Journal of Physics and Chemistry of Solids, 191, 111984.
Kevseroglu, O., & Kurban, R. (2024, May). Re-exploring the Kayseri Culture Route by Using Deep Learning for Cultural Heritage Image Classification. In Proceedings of the Cognitive Models and Artificial Intelligence Conference (pp. 196-201).
B. Erkantarcı, M. K. Çoban, A. Bozoğlu and A. Kose, "Semantic-Forward Relaying for 6G: Performance Boosts with ResNet-18 and GoogLeNet Plus," 2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), Mataram, Indonesia, 2024, pp. 240-245, doi: 10.1109/COMNETSAT63286.2024.10862409
Durmus, A., Yildirim, Z., Kurban, R. & Karakose, E. (2024). An optimal concentric circular antenna array design using atomic orbital search for communication systems. Frequenz. https://doi.org/10.1515/freq-2023-0432
Kose, A., Lee, H., Foh, C. H., & Shojafar, M. (2024). Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications. IEEE Transactions on Intelligent Transportation Systems.
Çelebi, F., Boyvat, D., Ayaz‐Guner, S., Tasdemir, K., & Icoz, K. (2024). Improved senescent cell segmentation on bright‐field microscopy images exploiting representation level contrastive learning. International Journal of Imaging Systems and Technology, 34(2), e23052.
Kolukisa, B., Dedeturk, B. K., Hacilar, H., & Gungor, V. C. (2024). An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm. Computer Standards & Interfaces, 89, 103808.
Dedeturk, B. K., Dedeturk, B. A., & Akbaş, A. (2024). A Comparative Analysis of Passenger Flow Forecasting in Trams Using Machine Learning Algorithms. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 13(1), 1-14.
2023
Işık, Y. E., & Aydın, Z. (2023). Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity. PeerJ, 11, e15552.
Yengec-Tasdemir, S. B., Aydin, Z., Akay, E., Dogan, S., & Yilmaz, B. (2023). Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization. Computer Methods and Programs in Biomedicine, 232, 107441.
Firat, M., Bakal, M. G., & Akbaş, A. (2023). Machine learning based network intrusion detection with hybrid frequent item set mining. Politeknik Dergisi, 1-1.
Erkantarci, B., & Bakal, G. (2023). An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms. Journal of Computational Social Science, 1-17.
Şen, T. Ü., & Bakal, G. (2023, July). A Transfer Learning Application on the Reliability of Psychological Drugs' Comments. In 2023 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.
Akkaya, A., & Bakal, G. (2023, July). A Computational Drug Repositioning Effort using Patients’ Reviews Dataset. In 2023 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.
Yazici, M. U., Yousef, M., Marron, J. S., & Bakir-Gungor, B. (2023, December). miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3234-3240). IEEE.
Bakir-Gungor, B., Temiz, M., Jabeer, A., Wu, D., & Yousef, M. (2023). microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (GSM) approach. Frontiers in Microbiology, 14, 1264941.
Temiz, M., Yousef, M., & Bakir-Gungor, B. (2023, October). Population Specific Classification of Colorectal Cancer with Meta-Analysis of Metagenomic Data. In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.
Bulut, N., Bakir-Gungor, B., Qaqish, B. F., & Yousef, M. (2023, October). The Effect of Different Classifiers on Recursive Cluster Elimination in the Analysis of Transcriptomic Data. In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.
Kuzudisli, C., Bakir-Gungor, B., Qaqish, B. F., & Yousef, M. (2023, October). Effect of recursive cluster elimination with different clustering algorithms applied to gene expression data. In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-4). IEEE.
Ersoz, N. S., Bakir-Gungor, B., & Yousef, M. (2023). GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning. Frontiers in Genetics, 14, 1139082.
Kuzudisli, C., Bakir-Gungor, B., Bulut, N., Qaqish, B., & Yousef, M. (2023). Review of feature selection approaches based on grouping of features. PeerJ, 11, e15666.
Temiz, M., Bakir-Gungor, B., Şahan, P. G., & Coskun, M. (2023). Topological feature generation for link prediction in biological networks. PeerJ, 11, e15313.
Söylemez, Ü. G., Yousef, M., & Bakir-Gungor, B. (2023). AMP-GSM: prediction of antimicrobial peptides via a grouping–scoring–modeling approach. Applied Sciences, 13(8), 5106.
Unlu Yazici, M., Marron, J. S., Bakir-Gungor, B., Zou, F., & Yousef, M. (2023). Invention of 3Mint for feature grouping and scoring in multi-omics. Frontiers in Genetics, 14, 1093326.
Kolukisa, B., & Bakir-Gungor, B. (2023). Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis. Computer Standards & Interfaces, 84, 103706.
Jabeer, A., Temiz, M., Bakir-Gungor, B., & Yousef, M. (2023). miRdisNET: discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning. Frontiers in Genetics, 13, 1076554.
Yazici, M. U., Bakir-Gungor, B., & Yousef, M. (2023). Integrative analyses in omics data: Machine learning perspective.
Marcos-Zambrano, L. J., López-Molina, V. M., Bakir-Gungor, B., Frohme, M., Karaduzovic-Hadziabdic, K., Klammsteiner, T., ... & Carrillo de Santa Pau, E. (2023). A toolbox of machine learning software to support microbiome analysis. Frontiers in microbiology, 14, 1250806.
Voskergian, D., Bakir-Gungor, B., & Yousef, M. (2023). TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information. Frontiers in Genetics, 14, 1243874.
Bakir-Gungor, B., & Yousef, M. Integrative analyses in omics data: Machine learning perspective Integrative Analysen von Omics-Daten: Perspektive des maschinellen Lernens.
Söylemez, Ü. G., Yousef, M., & Bakir-Gungor, B. (2023). Prediction of Antimicrobial Peptides Using Deep Neural Networks. In BIOINFORMATICS (pp. 188-194).
Yousef, M., Ozdemir, F., Jaber, A., Allmer, J., & Bakir-Gungor, B. (2023). PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach. BMC bioinformatics, 24(1), 60.
Şentürk, R., Kurban, R., & Çakıroğlu, F., (2023). Prediction of Groundwater Level with Nonlinear Autoregressive Neural Networks . BMYZ2023 - Cognitive Models and Artificial Intelligence Conference (pp.59-63). Ankara, Turkey
Çakıroğlu, F., Kurban, R., Durmuş, A., & Karaköse, E. (2023, December). Görüntü Birleştirme Yöntemleri ile Çok-modlu Medikal Görüntülerin Kaynaştırılması. In SETSCI-Conference Proceedings (Vol. 15, pp. 70-75). SETSCI-Conference Proceedings.
Çakıroğlu, F., Kurban, R., Durmuş, A., & Karaköse, E., (2023). Comparison of Image Fusion Methods to Extend Cameras' Limited Depth of Field and Provide Improved Night Vision.Industrial Application of Intelligent Systems II (pp.129-158), Ankara: Bidge Yayınları.
Çakıroğlu, F., Kurban, R., Durmuş, A., & Karaköse, E. (2023). Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers. Multimedia Tools and Applications, 82(29), 44859-44883.
Kurban, R. (2023). Gaussian of differences: a simple and efficient general image fusion method. Entropy, 25(8), 1215.
Adige, S., Kurban, R., Durmuş, A., & Karaköse, E. (2023). Classification of apple images using support vector machines and deep residual networks. Neural Computing and Applications, 35(16), 12073-12087.
Manic, S., Foh, C. H., Kose, A., Lee, H., Leow, C. Y., Chatzimisios, P., ... & Suthaputchakun, C. (2023, December). Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications. In 2023 IEEE 16th Malaysia International Conference on Communication (MICC) (pp. 80-85). IEEE.
Hamdan, M. Q., Lee, H., Triantafyllopoulou, D., Borralho, R., Kose, A., Amiri, E., ... & Tafazolli, R. (2023). Recent advances in machine learning for network automation in the o-ran. Sensors, 23(21), 8792.
Cassillas, A. M., Kose, A., Lee, H., Foh, C. H., & Leow, C. Y. (2023, June). Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage. In 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) (pp. 1-6). IEEE.
Kolukisa, B., & Bakir-Gungor, B. (2023). Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis. Computer Standards & Interfaces, 84, 103706.
Kolukisa, B., Yildirim, V. C., Ayyildiz, C., & Gungor, V. C. (2023). A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor. Computer Standards & Interfaces, 84, 103703.
Dedeturk, B. K., Kolukisa, B., & Özmen, M. (2023). ZAMAN PENCERELİ ARAÇ ROTALAMA PROBLEMLERİ İÇİN KÜMELEME TEMELLİ KLONAL SEÇİM ALGORİTMASI. Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi, 10(21), 307-320. https://doi.org/10.54365/adyumbd.1381562
Dedeturk, B. A., Kolukisa, B., & Tonyalı, S. Privacy-Preserving Wireless Indoor Localization Systems. Kocaeli Journal of Science and Engineering, 6(2), 114-128.
Bulut, N., & Hacıbeyoglu, M. (2023). Hydroponic Agriculture with Machine Learning and Deep Learning Methods. Gazi Mühendislik Bilimleri Dergisi, 9(3), 508-519.
2022
Taş, M., Taş, Y., Balki, O., Aydın, Z., and Taşdemir, K., “Camera-based wildfire smoke detection for foggy environments”, Journal of Electronic Imaging, vol. 31, 2022. doi:10.1117/1.JEI.31.5.053033.
Görmez Y, Sabzekar M, Aydın Z. IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction. Proteins. 2021 Oct;89(10):1277-1288. doi: 10.1002/prot.26149. Epub 2021 May 25. Erratum in: Proteins. 2022 Aug;90(8):1613. doi: 10.1002/prot.26354. PMID: 33993559.
Görmez, Y., & Aydin, Z. (2022). IGPRED-MultiTask: a deep learning model to predict protein secondary structure, torsion angles and solvent accessibility. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(2), 1104-1113.
Dundar, M., Fahrioglu, U., Yildiz, S. H., Bakir-Gungor, B., Temel, S. G., Akin, H., ... & Tunc, B. (2022). Clinical and molecular evaluation of MEFV gene variants in the Turkish population: a study by the National Genetics Consortium. Functional & integrative genomics, 22(3), 291-315.
Kolukısa, B., Görmez, Y., Aydın, Z. (2023). A Transfer Learning Approach for Skin Cancer Subtype Detection. 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering. ICAIAME 2022. Engineering Cyber-Physical Systems and Critical Infrastructures , vol 7. Springer, Cham. https://doi.org/10.1007/978-3-031-31956-3_28
Jabeer, A., KoÇak, A., Akkaş, H., Yenisert, F., Nalbantoğlu, Ö. U., Yousef, M., & GÜngÖr, B. B. (2022, September). Identifying taxonomic biomarkers of colorectal cancer in human intestinal microbiota using multiple feature selection methods. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
Kuzudİşlİ, C., & Güngör, B. B. (2022, September). A comparative study on psychiatric disorders: Identification of shared pathways and common agents. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
Soylemez, Ü. G., Celebiler, H. K., Harkonen, J., & Bakir-Gungor, B. (2022, September). The relationship between TSH levels, maternal characteristics and racial group of the aneuploidy screening. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.
Dedeturk, B. A., Taşdemir, K., & Bakir-gungor, B. (2022). Cilt Kanseri Görüntü Sınıflandırması için Görüntü Ön İşlemenin Evrişimsel Sinir Ağları Performansı Üzerindeki Etkileri. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 38(2), 190-200.
Dundar, M., Fahrioglu, U., Yildiz, S. H., Bakir-Gungor, B., Temel, S. G., Akin, H., ... & Tunc, B. (2022). Clinical and molecular evaluation of MEFV gene variants in the Turkish population: a study by the National Genetics Consortium. Functional & integrative genomics, 22(3), 291-315.
Durmus, A., & Kurban, R. (2022). Optimal synthesis of concentric circular antenna arrays using political optimizer. IETE Journal of Research, 68(1), 768-777.
Kurban, R., & Bozpolat, H. (2022). AYRIK KOSİNÜS DÖNÜŞÜMÜ DC BİLEŞENLERİ VE ÇOKLU-ADAPTİF ÖLÇEKLEME FAKTÖRLERİ KULLANILARAK DAYANIKLI GÖRÜNTÜ DAMGALAMA. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 30(2), 190-200.
Çıtıl, F., Kurban, R., Durmuş, A., & Karaköse, E. (2022). Fusion of Multi-Focus Images using Jellyfish Search Optimizer. Avrupa Bilim ve Teknoloji Dergisi, (37), 147-155.
Yakupoglu, C., & Rohloff, K. (2022, October). Prefhe, prefhe-aes and prefhe-sgx: Secure multiparty computation protocols from fully homomorphic encryption and proxy reencryption with aes and intel sgx. In International Conference on Security and Privacy in Communication Systems (pp. 819-837). Cham: Springer Nature Switzerland.
Yakupoglu, C., & Rohloff, K. (2022, August). Towards Efficient FHE Based cPIR Schemes and Their Parameter Selection. In Proceedings of the 17th International Conference on Availability, Reliability and Security (pp. 1-11).
Seven, S., Yoldas, Y., Soran, A., Yalcin Alkan, G., Jung, J., Ustun, T. S., & Onen, A. (2022). Energy trading on a peer-to-peer basis between virtual power plants using decentralized finance instruments. Sustainability, 14(20), 13286.
Çelebi, F., Tasdemir, K., & Icoz, K. (2022). Deep learning based semantic segmentation and quantification for MRD biochip images. Biomedical Signal Processing and Control, 77, 103783.
Kolukisa, B., Yildirim, V. C., Elmas, B., Ayyildiz, C., & Gungor, V. C. (2022). Deep learning approaches for vehicle type classification with 3-D magnetic sensor. Computer Networks, 217, 109326.
Dedeturk, B. A., & Gungor, B. B. (2022). Evaluation of Sub-Network search programs in epilepsy-related GWAS dataset. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 28(2), 292-298.
Y.E. IŞIK, Y. GÖRMEZ, Z. AYDIN, B. Bakir-Gungor, "The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behcet's Disease," IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,vol. 19 no. 3, 2022.
B. Bakir-Gungor, H. Hacılar, A. Jabeer, O.U. Nalbantoglu, O. Aran, M. Yousef. "Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods," PeerJ, 2022.
M. Yousef, G. Goy, B. Bakir-Gungor, "miRModuleNet: Detecting miRNA-mRNA regulatory modules," Frontiers in Genetics, 2022.
Ü.G. Söylemez, M. Yousef, Z. Kesmen, M.E. Büyükkiraz, B. Bakir-Gungor, "Prediction of Linear Cationic Antimicrobial Peptides Active against Gram-Negative and Gram-Positive Bacteria Based on Machine Learning Models," Applied Sciences, vol. 12 no. 7, 2022.
B. Bakir-Gungor, Z. Aydın, et. al., "Clinical and molecular evaluation of MEFV gene variants in the Turkish population: a study by the National Genetics Consortium," Functional & Integrative Genomics, 2022.
P. GÜNER, B. GÜNGÖR, M. COŞKUN, "Developing a label propagation approach for cancer subtype identification problem," Turkish Journal of Biology, vol. 46, no.2, 2022.
B. Kolukisa, V.C. Yildirim, B. Elmas, C. Ayyildiz, V.C. Gungor, "Deep learning approaches for vehicle type classification with 3-D magnetic sensor," Computer Networks, 2022.
2021
O.G. Uyan, A. Akbas, V.C. Gungor, "A Reliable and Secure Multi-Path Routing Strategy for Underwater Acoustic Sensor Networks," Computer Networks, vol. 24, 2021.
Kolukisa, B., Dedeturk, B. K., Dedeturk, B. A., Gulsen, A., & Bakal, G. (2021, September). A comparative analysis on medical article classification using text mining & machine learning algorithms. In 2021 6th International Conference on Computer Science and Engineering (UBMK) (pp. 360-365). IEEE.
Z. Aydın, et. al., "A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization," JAMA NETWORK OPEN,vol.4, no.10 2021.
Y. Görmez, M. Sabzekar, Z. Aydın, "IGPRED: Combination of convolutional neural and graph convolutional networks for protein secondary structure prediction," Proteins: Structure, Function, and Bioinformatics,vol.89, no.10, 2021.
Z. Aydın, et. al., "Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge," NPJ digital medicine, vol.4, no.1, 2021.
M. Sabzekar, Z. Aydin, "A noise-aware feature selection approach for classification," Soft Computing, vol.25, no.8 2021.
S. Atasever, N. Azgınoglu, H. Erbay, Z. Aydın, "3-State Protein Secondary Structure Prediction based on SCOPe Classes," Brazilian Archives of Biology and Technology, vol. 64, 2021.
B. Adanur Dedeturk, A. Soran, B. Bakir-Gungor, "Blockchain for genomics and healthcare: a literature review, current status, classification and open issues," PeerJ, 2021.
B. Bakir-Gungor, O. Bulut, A. Jabeer, O.U. Nalbantoglu, M. Yousef, "Discovering potential taxonomic biomarkers of type 2 diabetes from human gut microbiota via different feature selection methods," Frontiers in microbiology, 2021.
M. Yousef, G. Goy, R. Mitra, C.M. Eischen, A. Jabeer, B. Bakir-Gungor, "miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking," PeerJ, vol. 9, 2021.
B. Bakir-Gungor, et al., "Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions," Frontiers in Microbiology, vol. 277, 2021.
M. Yousef, A. Kumar, B. Bakir-Gungor, "Application of biological domain knowledge based feature selection on gene expression data," Entropy, vol. 23, no. 1, 2021.
M. Faheem, R.A. Butt, R. Ali, B. Raza, M.A. Ngadi, V.C. Gungor, "CBI4. 0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0," Journal of Industrial Information Integration, vol. 24, 2021.
C. Ayyildiz, R. Cetin, Z. Khodzhaev, T. Kocak, E.G. Soyak, V.C. Gungor, G.K. Kurt, "Physical layer authentication for extending battery life," Ad Hoc Networks, vol. 123, 2021.
N. Tekin, H.U. Yildiz, V.C. Gungor, "Node-Level Error Control Strategies for Prolonging the Lifetime of Wireless Sensor Networks," IEEE Sensors Journal, vol. 21, no.13, 2021.
2020
H. Erdem, V.C. Gungor, "Analyzing lifetime of energy harvesting underwater wireless sensor nodes," International Journal of Communication Systems (Wiley), vol. 33, no.3, 2020.
N. Tekin, V.C. Gungor,"The impact of error control schemes on lifetime of energy harvesting wireless sensor networks in industrial environments," Computer Standards & Interfaces (Elsevier), vol. 70, 2020.
N. Tekin, V.C. Gungor,"Analysis of compressive sensing and energy harvesting for wireless multimedia sensor networks," Ad Hoc Networks (Elsevier), vol. 103, no. 1, 2020.
J: T. Cowman, M. Coşkun, A. Grama, and M. Koyuturk. Integrated Querying and Version Control of Context-Specific Biological Networks (The Journal of Biological Databases and Curation, Oxford) 2020.
J: M. Coşkun, A. Baggag, M. Koyutürk Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries, Data Mining and Knowledge Discovery, DMKD, 2020 (Revised).
Saputro, N., Tonyali, S., Aydeger, A., Akkaya, K., Rahman, M.A. and Uluagac, S., 2020. A Review of Moving Target Defense Mechanisms for Internet of Things Applications. Modeling and Design of Secure Internet of Things, pp.563-614.
Sena B Yengec Tasdemir, Kasim Tasdemir, and Zafer Aydin. A review of mammographic region of interest classification. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, page e1357, 2020.
Fatma Uslu, Kutay Icoz, Kasim Tasdemir, Refika S Doğan, and Bulent Yilmaz. Automated quantification of immunomagnetic beads, micropads and patient leukemia cells: A readout method for biochip. Micron, page 102863, 2020.
Fatma Uslu, Kutay Icoz, Kasim Tasdemir, Refika S Doğan, and Bulent Yilmaz. Image-analysis based readout method for biochip: Automated quantification of immunomagnetic beads, micropads and patient leukemia cell. Micron (Oxford, England: 1993), 133:102863-102863, 2020.
Nuh Azgınoğlu, Zafer Aydın, Mete Çelik, "Structural profile matrices for predicting structural properties of proteins," Journal of Bioinformatics and Computational Biology, 2050022, 2020.
Rukiye Nur Kaçmaz, Bülent Yılmaz, Zafer Aydın, "Effect of interpolation on specular reflections in texture‐based automatic colonic polyp detection," International Journal of Imaging Systems and Technology, 1-9, 2020
Yasin Görmez, Zafer Aydın, Ramazan Karademir, Vehbi Çağrı Güngör, "A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks," International Journal of Communication Systems, 33:e4401, 2020.
Sena Büşra Yengeç Taşdemir, Kasım Tasdemir, Zafer Aydın, "A review of mammographic region of interest classification," WIREs Data Mining and Knowledge Discovery, e1357, 2020.
Zafer Aydın, "Performance analysis of machine learning and bioinformatics applications on high performance computing systems," Academic Platform Journal of Engineering and Science, 8(1):1-14, 2020.
Hilal Hacılar, Yasin Görmez, Burcu Bakır Güngör, Cengiz Gezer, Zafer Aydın, Vehbi Çağrı Güngör, "Classification of cardiovascular artery diseases using artificial neural network," International Journal of Bioscience, Biochemistry and Bioinformatics, 10(1):34-41, 2000.
Oğuzhan Ayyıldız, Zafer Aydın, Bülent Yılmaz, Seyhan Karaçavuş, Kübra Şenkaya, Semra İçer, Arzu Taşdemir, Eser Kaya, "Lung cancer subtype differentiation from positron emission tomography images," Turkish Journal of Electrical Engineering and Computer Sciences, 28(1):262-274, 2020.
2019
H. U. Yildiz, V.C. Gungor, B. Tavli, "Packet Size Optimization for Lifetime Maximization in Underwater Acoustic Sensor Networks," IEEE Trans. Ind. Informatics, vol. 15, no. 2, pp. 719-729, 2019.
O.G. Uyan, V.C. Gungor, "QoS-aware LTE-A downlink scheduling algorithm: A case study on edge users. International Journal of Communication Systems (Wiley), vol. 32, no. 15, 2019.
J: H. Jiang, M. Coşkun, A. Badokhon, M. Liu, M-C. Huang Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart IEEE Transaction On Affective Computing, Volume: 10 Issue: 1 Pages: 76-84 Special Issue: SI, ISSN: 1949-3045 (SCIE), Jan 2019.
C: M. Coşkun, V. Ç. Güngör, H. Hacılar. OFFER: Referee Suggester Algorithm for Journal Editors. The 24th IEEE* Symposium on Computers and Communications, March 2019.
Enes Altinisik, Kasim Tasdemir, and Husrev Taha Sencar. Mitigation of h. 264 and h. 265 video compression for reliable prnu estimation. IEEE Transactions on information forensics and security, 15:1557-1571, 2019.
Fatma Uslu, Kutay Icoz, Kasim Tasdemir, and Bulent Yilmaz. Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images. Biomedical Signal Processing and Control, 49:473-482, 2019.
Fatma Uslu, Kutay İҫöz, and Kasim Tasdemir. Image-processing based signal readout method for mrd biochip. In 2019 27th Signal Processing and Communications Applications Conference (SIU), pages 1-4. IEEE, 2019.
Sema Atasever, Zafer Aydın, Hasan Erbay, Mostafa Sabzekar, "Sample reduction strategies for protein secondary structure prediction," Applied Sciences, 9(20):4429, 2019.
Zafer Aydın, Nuh Azgınoğlu, Halil İbrahim Bilgin, Mete Çelik, "Developing structural profile matrices for protein secondary structure and solvent accessibility prediction," Bioinformatics, 35(20):4004-4010, 2019.
2018
M. Yigit, V.C. Gungor, P. Sarisaray-Boluk, "Performance analysis of Hamming code for WSN-based smart grid applications," Turkish Journal of Electrical Engineering & Computer Sciences, vol. 26, no.1, pp. 125137, 2018.
M. Faheem, V.C. Gungor, "MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things," Future Generation Computer Systems (Elsevier), vol. 82, pp. 358-374, May 2018.
N. Tekin, H.E. Erdem, V.C. Gungor, "Analyzing lifetime of energy harvesting wireless multimedia sensor nodes in industrial environments," Computer Standards & Interfaces (Elsevier), vol. 58, pp. 109-117, May 2018.
H.E. Erdem, V.C. Gungor, "On the Lifetime Analysis of Energy Harvesting Sensor Nodes in Smart Grid Environments," Ad Hoc Networks (Elsevier), vol. 75, pp. 98-105, June 2018.
M. Faheem, V.C. Gungor, "Energy Efficient and Qos-Aware Routing Protocol for Wireless Sensor NetworkBased Smart Grid Applications in the Context of Industry 4.0," Applied Soft Computing (Elsevier), vol. 68, pp. 910-922, July 2018.
M. Yigit, H.U. Yildiz, S. Kurt, B. Tavli, V.C. Gungor, "A Survey on Packet Size Optimization for Terrestrial, Underwater, Underground, And Body Area Sensor Networks," International Journal of Communication Systems (Wiley), vol. 31 no. 11, July 2018.
C. Ayyildiz, H.E. Erdem, T. Dirikgil, O. Dugenci, T. Kocak, F. Altun, V.C. Gungor, "Structure Health Monitoring Using Wireless Sensor Networks on Structural Elements," Ad Hoc Networks (Elsevier), July 2018.
C. Deniz, O.G. Uyan, V.C. Gungor, “On the Performance of LTE Downlink Scheduling Algorithms: A Case Study on Edge Throughput," Computer Standards & Interfaces (Elsevier), vol. 59, pp. 96-108, Aug. 2018.
J: M. Coşkun, A. Grama, M. Koyuturk Indexed Fast Network Proximity Querying. 44th Very Large Databases VLDB Endowment ,Volume: 11 Issue: 8 Pages: 840-852.ISSN: 2150-8097 (ESCI), Aug 2018.
C: M. Coşkun, A. Baggag, S. Chawla. Deep Learning Approaches for Traffic Light Optimization International Conf. Data Mining (ICDM) Workshops,Nov, 2018
Yusuf Cagatay Ersan, Damian Palin, Sena Busra Yengec Tasdemir, Kasim Tasdemir, Henk M Jonkers, Nico Boon, and Nele De Belie. Volume fraction, thickness, and permeability of the sealing layer in microbial self-healing concrete containing biogranules. Frontiers in Built Environment, 4:70, 2018.
Enes Altinisik, Kasim Tasdemir, and Husrev Taha Sencar. Extracting prnu noise from h. 264 coded videos. In 2018 26th European signal processing conference (EUSIPCO), pages 1367-1371. IEEE, 2018.
Sena Busra Yengec Tasdemir, Kasim Tasdemir, and Zafer Aydin. Roi detection in mammogram images using wavelet-based haralick and hog features. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 105-109. IEEE, 2018.
Fourati et al. "A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection," Nature Communications, 9(1):1-11, 2018.
Zafer Aydın, Oğuz Kaynar, Yasin Görmez, "Dimensionality reduction for protein secondary structure and solvent accesibility prediction," Journal of Computational Biology and Bioinformatics, 16(5):1850020-1-1850020-16, 2018.
Vehbi Çağrı Güngör, Zafer Aydın, Ramazan Karademir, “Intelligent anomaly detection techniques for denial of service attacks,” International Journal of Computer and Communication Enginering, 7(2): 20-31, 2018.
Yunus Emre Işık, Yasin Görmez, Oğuz Kaynar, Zafer Aydın, "NSEM: Novel Stacked Ensemble Method for Sentiment Analysis," IEEE International Conference on Artificial Intelligence and Data Processing (IDAP), 1-4, Malatya, Turkey, 28-30 September 2018.
Zafer Aydın, Vehbi Çağrı Güngör, "A novel feature design and stacking approach for non technical electricity loss detection," IEEE Innovative Smart Grid Technologies – Asia (ISGT Asia), 867-872, Singapore, 2018.
Sena Büşra Yengeç Taşdemir, Kasım Taşdemir, Zafer Aydın, "ROI detection in mammogram images using wavelet-based Haralick and HOG features," IEEE International Conference on Machine Learning Applications, 105-109, Orlando, Florida, 2018.
Zafer Aydın, Oğuz Kaynar, Yasin Görmez, Yunus Emre Işık, “Comparison of machine learning classifiers for protein secondary structure prediction,” IEEE 26th Signal Processing and Communication Applications Conference (SIU), 1-4, Çeşme, İzmir, Turkey, 2018.
Zafer Aydın, Oğuz Kaynar, Yasin Görmez, “Comparison of NR and Uniclust databases for protein secondary structure prediction,” IEEE 26th Signal Processing and Communication Applications Conference (SIU), 1-4, Çeşme, İzmir, Turkey, 2018.
Nuh Azgınoğlu, Mehmet Akif Eren, Mete Çelik, Zafer Aydın, “Ceph-based storage server application,” IEEE 6th International Symposium on Digital Forensics and Security (ISDFS), 1-4, Antalya, Turkey, 2018.
2017
S. Kurt, Sinan; H.U. Yildiz, M. Yigit, B. Tavli, V.C. Gungor, "Packet Size Optimization in Wireless Sensor Networks for Smart Grid Applications," IEEE Transactions on Industrial Electronics, vol. 64, no. 3, pp. 2392-2401, March 2017.
E. Fadel, M. Faheem, V.C. Gungor, et al. "Spectrum-Aware Bio-Inspired Routing in Cognitive Radio Sensor Networks for Smart Grid Applications," Computer Communications (Elsevier), vol. 101, pp. 106-120, March 2017.
M. Faheem, G. Tuna, V.C. Gungor, "QERP: Quality-of-Service (QoS) Aware Evolutionary Routing Protocol for Underwater Wireless Sensor Networks," IEEE Systems Journal, March 2017.
M. Yigit, O. Durmaz Incel, S. Baktir, V.C. Gungor, "QoS‐Aware MAC Protocols Utilizing Sectored Antenna For Wireless Sensor Networks‐Based Smart Grid Applications," International Journal of Communication Systems (Wiley), vol. 30, no. 7, May 2017.
G. Tuna, V.C. Gungor, "A Survey On Deployment Techniques, Localization Algorithms, And Research Challenges For Underwater Acoustic Sensor Networks," International Journal of Communication Systems (Wiley), June 2017.
M. Faheem, V.C. Gungor, "Capacity and Spectrum-Aware Communication Framework for Wireless Sensor Network-Based Smart Grid Applications," Computer Standards & Interfaces (Elsevier), vol. 53, pp. 48-58, August 2017.
M. Faheem, G. Tuna, V.C. Gungor, "LRP: Link quality-aware queue-based spectral clustering routing protocol for underwater acoustic sensor networks," International Journal of Communication Systems (Wiley), vol. 30, no. 12, August 2017.
G. Tuna, D.G. Kogias, V.C. Gungor, C. Gezer, E. Taşkın, E. Ayday, "A Survey On Information Security Threats And Solutions For Machine To Machine (M2M) Communications," Journal of Parallel and Distributed Computing (Elsevier), vol. 109, pp. 142-154, November 2017.
J: Z. Stanfield, M. Coşkun, M. Koyuturk. Drug Response Prediction as a Link Prediction Problem. Nature Scientific Reports Volume: 7 Article Number: 44961. ISSN: 2045-2322 (SCI / SCIE), Aug 2017.
C: Zachary Stanfield, Mustafa Coşkun, Mehmet Koyuturk. Drug Response Prediction as a Link Prediction Problem. 8th ACM International Conference On Bioinformatics (BCB) Aug, 2017
Ahmet Kerim Aggirman and Kasim Tasdemir. Short to mid-range night fire detection. In 2017 25th Signal Processing and Communications Applications Conference (SIU), pages 1-4. IEEE, 2017.
Mostafa Sabzekar, Mahmoud Naghibzadeh, Mahdie Eghdami, Zafer Aydin, "Protein beta-sheet prediction using an efficient dynamic programming algorithm," Computational Biology and Chemistry, 70:142-155, 2017.
Oğuz Kaynar, Zafer Aydın, Yasin Görmez, “Sentiment analizinde öznitelik düşürme yöntemlerinin oto kodlayıcı derin öğrenme makinaları ile karşılaştırılması,” Gazi Üniversitesi Bilişim Teknolojileri Dergisi, 10(3):319-326, 2017.
Ashrf Aoad, Murat Şimşek, Zafer Aydın, "Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs," International Journal of Numerical Modeling: Electronic Networks, Devices and Fields, 30:e2129, 2017.
Zafer Aydın, Ömmu Gülsüm Uzut, “Combining Classifiers for Protein Secondary Structure Prediction,” IEEE International Conference on Computational Intelligence and Communication Networks, Girne, Cyprus, pp. 29-33, 2017.
Zafer Aydın, Oğuz Kaynar, Yasin Görmez, “Feature Selection for Protein Dihedral Angle Prediction,” IEEE International Conference on Computational Intelligence and Communication Networks, Girne Cyprus, pp. 48-52, 2017.
Nuh Azgınoğlu, Umut Atasever, Zafer Aydın, Mete Çelik, Hasan Erbay, “Open Source SLURM Computer Cluster System Design and a Sample Application, IEEE International Conference on Computer Science and Engineering, Antalya, Turkey, 2017.