B3LAB Yayınlar

Makaleler

  • Okul, Ş., Aydın, M.A., Bilge, H. Ş. 2018. "Security Attacks in V2V Communication". Azərbaycan Respublikası Müdafiə Nazirliyi Silahlı Qüvvələrin Hərbi Akademiyası, 2018,Sayfa: 58, ISSN 2521 – 1331
  • Okul, Ş., Aydın M.A., Keleş, F.K. 2018. "Implementation of Change Point Detection Algorithm in the Analysis of Security Attacks in Smart Cars"., IEEE, 2018, 10.1109/UBMK.2018.8566341
  • Okul, Ş., Muratoğlu, O., Aydın M.A.,Bilge, H.Ş.,  2018. "Review On Cyber Risks Relating to Security Management in Smart Cars"., IEEE, 2018, 10.1109/UBMK.2018.8566569
  • Okul, Ş., Aydın M.A.,Keleş U.F.,  2018. "Security Problems and Attacks on Smart Cars"., Springer, 2018, https://doi.org/10.1007/978-981-13-0408-8_17
  • (SCI Indeksli): Haklidir Tut, F.S., Haklidir, M. 2019. " Prediction of Reservoir Temperatures Using Hydrogeochemical Data, Western Anatolia Geothermal Systems (Turkey): A Machine Learning Approach". Natural Resources Research, 1-14.
  • (SCI Indeksli): Astekin, M.,Zengin, H. & Sözer, H. (2019). DILAF: A Framework for Distributed Analysis of Large-scale System Logs for Anomaly Detection. Software: Practice and Experience 49(2).
  • (SCI Indeksli) Aktaş, M. S. & Astekin(2017). Provenance Aware Run-time Verification of Things for Self-healing Internet of Things Applications. Concurrency and Computation: Practice and Experience, e4263.
  • Okul, Ş., Aydın, M.A., Bilge, H.Ş., Muratoğlu, O., 2019. "A Review on Cyber Risk Management". Acta Infologica, 2019, Cilt: 4 Sayı: 1, 34 – 45
  • Okul, Ş., Aydın, M.A., Aksu, D., 2019. "Applications of Deep Learning and Big Data Technologies". IEEE, 2019, 10.1109/SSD.2019.8893261
  • Okul, Ş., Aksu, D., Orman, Z., 2019. "Investigation of Artificial Intelligence Based Optimization Algorithm". İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019, Cilt: 1 Sayı: 1 11 - 16.
  • (SCI Indeksli): Akbayrak, I., Ulver, B., Dervisoglu, H., Haklidir, M., Caglayan, S., Kurgan, L., Uversky, V., Hasekioglu, O., Coskuner-Weber, O. “Structures of MERS-CoV Macro Domain in Aqueous Solution with Dynamics: Coupling Replica Exchange Molecular Dynamics and Deep Learning at the Nano Level”. Authorea. August 03, 2020. DOI: 10.22541/au.159646074.43956314 (Preprint)
  • (SCI Indeksli): Haklidir Tut, F.S., Haklidir, M. 2020. "Prediction of geothermal originated boron contamination by deep learning approach: at Western Anatolia Geothermal Systems in Turkey", Environmental Earth Sciences, 79:180
  • Article (SCI Index): Gorcin Karaketir, S., Luleci, N. E., Eryurt, M.A., Emecen, A., Haklidir, M., Hidiroglu, S. 2021. “Overweight and Obesity in Preschool Children in Turkey: A Multilevel Analysis”, Journal of Biosocial Science, 1-23. doi:10.1017/S0021932022000025.
  • Article (SCI Index): Haklidir, M. and Temeltas, H. 2021. "Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes," in IEEE Access, vol. 9, pp. 159672-159683, 2021, doi: 10.1109/ACCESS.2021.3131772.
  • Ozbilen M.L., Egriboz E., Halepmollasi R., Bilgen I., Haklidir M. 2021. “Deep Reinforcement Learning for Simulation-Based Determination of COVID-19 Pandemic Mitigation Policies”. Artificial Intelligence Theory and Applications, Volume: 1, Number:3, Pages 30-39. ISSN: 2757-9778, ISBN: 978-605-69730-2-4
  • Halepmollasi, R., Zeybel, M., Eyvaz, E., Arkan, R., Genc, A., Bilgen, I., Haklidir, M. 2021. “Towards Federated Learning in Identification of Medical Images: A Case Study”, Artificial Intelligence Theory and Application, Volume: 1, Number:2 (Special Issue), Pages 30-39. ISSN: 2757-9778, ISBN: 978-605-69730-2-4
  • Dervisoglu, H., Bilgen, I., Halepmollasi, R., Can, B., Haklidir, M. 2021. “Unfairness of Deep Learning Methods Arising Gender Bias in Covid-19 Diagnosis of Medical Images”, Artificial Intelligence Theory and Application, Volume: 1, Number:2 (Special Issue), Pages 81-94. ISSN: 2757-9778, ISBN: 978-605-69730-2-4
  • Article (SCI Index): Akbayrak, I., Caglayan, S. I., Durdagi, S., Kurgan, L., Uversky, V., Ulver, B., Dervisoglu, H., Haklidir, M., Hasekioglu, O., Coskuner-Weber, O. “Structures of MERS-CoV Macro Domain in Aqueous Solution with Dynamics: Impacts of Parallel Tempering Simulation Techniques and CHARMM36m and AMBER99SB Force Field Parameters”. Proteins: Structure, Function, and Bioinformatics. May 18, 2021. DOI: https://doi.org/10.1002/prot.26150
  • Ozturk, M.A,Sertkaya, I., Yuce, H., 2021. "Anonim Tabanlı Kriptoparaların Korelasyon Tabanlı Mahremiyet Analizi".ULUSLARARASI BİLGİ GÜVENLİĞİ MÜHENDİSLİĞİ DERGİSİ, 7. Cilt, 07.07.2021
  • Okul, S., Keles, F., Aydin, M.A., 2022. "Vehicular Social Network Using Blockchain Technology". İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022, Cilt: 4 Sayı: 3, 138 – 141
  • Sadak, S., Kahraman, N., Uludag, U., 2022. "Dynamic and static feature fusion for increased accuracy in signature verification". Signal Processing: Image Communication 108 (2022): 116823
  • Gorcin Karaketir, S., Luleci, N.E.,  Eryurt, M.A., Emecen, A., Haklidir, M., Hidiroglu, S., 2022. "Overweight and Obesity in Preschool Children in Turkey: A Multilevel Analysis". Journal of Biosocial Science, 1-23. doi:10.1017/S0021932022000025.
  • Donmez, I., 2023. "An experimental study: using categorical or fuzzy inputs for classification problems with dimensionality reduction". Neural Computing and Applications /Springer Journal, pp1-10, 2023
  • Kumbasar, N., Egriboz, E., Deniz, S.M., Haklidir, M.,Sengul, B., Iscan, Y., Tataroglu Ozbudak, G.A., Sormaz, I.C., Tunca, F., Giles Senyurek, Y., 2023. "Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein".Surgical Laparoscopy Endoscopy & Percutaneous Techniques ,2023
  • Ozturk, M.A., Aydin, M.A. 2023. "Siber Dünyanın Öbür Yüzü: Siber Terörizm ve Siber Savaş". Türkiye Klinikleri, 2023

Bildiriler

  • Muhtaroğlu, F. Canan Pembe, et al. "Business model canvas perspective on big data applications." 2013 IEEE International Conference on Big Data. IEEE, 2013.
  • Özger, Zeynep Banu, Banu Di̇ri̇, and Canan Gi̇rgi̇n. "Question identification on Turkish tweets." 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings. IEEE, 2014.
  • Zafer, Harun Reşit , Canan Girgin. “Genre Classification of Web Pages in a Turkish Search Engine”. BigR&I International Symposium on Big Data Research and Innovation 2014
  • Girgin, Canan, and Banu Diri. "Semantic relation extraction by conditional random fields from turkish wikipedia pages." 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014.
  • Gırgın, C., Gönültac, H., Muhtaroğlu, F. C. P., Demır, Ş., Akin, A. A., & Obali, M. (2014, April). Language based web crawling on big data. In 2014 22nd Signal Processing and Communications Applications Conference (SIU) (pp. 1528-1531). IEEE.
  • Gündüz H., Halepmollası R., and Saraç Ö. S. (2014). Glasses detection in face images using Histogram of Oriented Gradients. In 22nd Signal Processing and Communications Applications Conference (SIU) (pp. 1889-1892). IEEE.
  • Halepmollası R., Bilgen İ., and Saraç Ö. S. (2016). Subsequence profile map for protein fold recognition. In 24th Signal Processing and Communications Applications Conference (SIU) (pp. 2033-2036). IEEE.
  • Gemici Güneş, Özlem, Mustafa Yağımlı. “Lambda Mimarisi Kullanarak Veri Merkezi Kaynak Kullanım Analizi”  . B3S’17 1. Ulusal Bulut Bilişim ve Büyük Veri Sempozyumu.  2017.
  • Döngel, Tuğçe, and Yasemin Timar. "B3SafirBiyo: Genomic variant analysis with big data technologies." 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017.
  • Döngel, Tuğçe, ve Yasemin Timar. "Genomic variant analysis using distributed in-memory computation framework." 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017.
  • Döngel, Tuğçe, ve Yasemin Timar. "Dağıtık Bellek İçi Hesaplama Yöntemleri ile Genomik Varyasyon Kümeleme." . B3S’17 1. Ulusal Bulut Bilişim ve Büyük Veri Sempozyumu.  2017.
  • Demiral, Yasemin, and Mehmet Demirci. "An investigation of hypervisor effect on virtual networks performance." 2018 26th Signal Processing and Communications Applications Conference (SIU). IEEE, 2018.
  • Ozcan, S. and Mustacoglu, A. (2018) Transfer Learning Effects on Image Steganalysis with Pre-Trained Deep Residual Neural Network Model, in 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018 pp. 2280-2287.
  • Timar, Y., N. Karslıoğlu, H. Kaya, A.A. Salah (2018) Feature selection and multimodal fusion for estimating emotions evoked by movie clips,ACM Int. Conf. on Multimedia Retrieval (ICMR), Yokohama.
  • Zeybel M., Akgul Y.S. (2020) Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm. In: Papież B., Namburete A., Yaqub M., Noble J. (eds) Medical Image Understanding and Analysis. MIUA 2020. Communications in Computer and Information Science, vol 1248. Springer, Cham. https://doi.org/10.1007/978-3-030-52791-4_12
  • Zeybel, Merve Kaya and Yusuf Sinan Akgül.(2019) Identification and Localization of Lumbar Intervertebral Discs on MRI Images with Faster RCNN. 4th International Conference on Computer Science and Engineering (UBMK) (2019): 129-133
  • Demiral, Yasemin, Necmettin Çarkacı, and Uğur Çekmez. "Bulut Üzerinde DevOps Mimarisi DevOps Architecture in the Cloud." 2019 27th Signal Processing and Communications Applications Conference (SIU). IEEE, 2019.
  • Zeybel, Merve Kaya, and Yusuf Sinan Akgül. "Identification and Localization of Lumbar Intervertebral Discs on MRI Images with Faster RCNN." 2019 4th International Conference on Computer Science and Engineering (UBMK). IEEE, 2019.
  • Mataracıoğlu, Tolga, Kerim Can Kalıpcıoğlu, Süleyman Muhammed Arıkan, Gökhan Işık, Yasemin Demiral, Derya Cincioğlu, Hacı Ali Mantar. “Küresel Salgın Sonrasında Ulusal Bilişim Güvenliği”  Küresel Salgının Anatomisi : İnsan ve Toplumun Geleceği içinde (903-936. ss.). Ankara: Türkiye Bilimler Akademisi." 2020.
  • Halepmollası R. (2020). A composed technical debt identification methodology to predict software vulnerabilities. In 42nd International Conference on Software Engineering (ICSE) (pp. 186–189). ACM/IEEE.
  • Özbilen M.L., Eğriboz E., Halepmollası R., Bilgen İ., Haklidir M. (2021). A Deep Reinforcement Learning Approach to Explore Optimal Policies for Covid-19 Pandemic Mitigation: Preliminary Analysis. Artificial Intelligence Theory and Applications (ISSN: 2757-9778 — ISBN:978-605-69730-2-4).
  • Haklidir Tut, F.S., Haklidir, M.,” The Reservoir Temperature Prediction Using Hydrogeochemical Indicators by Machine Learning: Western Anatolia (Turkey) Case”. World Geothermal Congress 2021, Reykjavik, Iceland, May 2021.
  • Ozbilen, M. L., Egriboz, E., Halepmollasi, R., Bilgen, I., Haklidir, M., “A Deep Reinforcement Learning Approach to Explore Optimal Policies for Covid-19 Pandemic Mitigation: Preliminary Analysis”, II. International Artificial Intelligence in Health Congress, Izmir, Turkey, 16-18 April 2021.
  • Halepmollasi, R., Zeybel, M., Eyvaz, E., Arkan, R., Genc, A., Bilgen, I., Haklidir, M., “Towards Federated Learning in Identification of Medical Images: A Case Study”, II. International Artificial Intelligence in Health Congress, Izmir, Turkey, 16-18 April 2021.
  • Dervisoglu, H., Bilgen, I., Halepmollasi, R., Can, B., Haklidir, M., “Unfairness of Deep Learning Methods Arising Gender Bias in Covid-19 Diagnosis of Medical Images”, II. International Artificial Intelligence in Health Congress, Izmir, Turkey, 16-18 April 2021.
  • Egirboz, E., Aktas M.S., 2021. "Price Forecasting with Deep Learning in Business to Consumer Markets". LNTCS,volume 12954
  • Haklidir, M. Temeltas, H., 2021. "Autonomous Driving Systems for Decision-Making Under Uncertainty Using Deep Reinforcement Learning". 30th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE, 2021.
  • Deniz, S.M., Urgun, D., Haklidir, M., Javaheri, H., Vargas, J.F., Sabit, F., Tok, M., Bo Zhou, Lukowicz, P., . "Prediction of Lifted Weight Category Using EEG Equipped Headgear". IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 1-7., 2022
  • Sari, T., Sever, M., Candan, A.T., Girgin, E., Cibuk Girgin, G.T., Haklidir, M,. "Cloud Assisted Connected and Automated Mobility System Architecture Design and Experimental Verification: The 5G-MOBIX Autonomous Truck Routing Use Case". 33rd IEEE Intelligent Vehicles Symposium, Aachen, Germany, 5-9 June 2022.
  • Kumbasar, N., Egriboz, E., Deniz, S.M., Haklidir, M., Sengun, B., Iscan, Y., Tataroglu Ozbulak, G.A., Sormaz, I.C., Tunca, F., Senyurek, Y.G., "Minimal İnvaziv Adrenalektomide Yapay Zeka: Derin Öğrenme Kullanılarak Sol Adrenal Venin Tanınması". 11. Ulusal Endokrin Cerrahi Kongresi, Antalya, Turkey, 16 - 19 March 2023, pp.21-22
  • Bilgili, D., Keçibaş, G., Besirova, C., Chehrezad, M.R., Burun, G., Pehlivan, T., Uresin, U., Emekli, E., Lazoglu, I. "Tool flank wear prediction using high-frequency machine data from industrial edge device". Procedia CIRP, Volume 118, 2023
  • Ozbilen, M.L., Ozcan, E., Keles, M.B., Zeybel, M., Dervisoglu, H., Dogan, A., Haklidir, M., "Blokzincirde Anomali Tespiti için Büyük Veri Analitiklerinin Uygulanması". 31. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı
  • Delibalta, M., Bilgen, I., Pempe Muhtaroglu, F.C., Kiremit, E., Irkil, H., Haklidir, M., "Load Weight Estimation in Washing Machine using Soft Sensors with Machine Learning Techniques". 31. IEEE Conference on Signal Processing and Communications Applications (SIU 2023)
  • Dervisoglu, H., Ulver, B., Arkan Yurtoglu, R., Halepmollasi, R., Haklidir, M. "A Comparative Study on Cloud-based and Edge-based Digital Twin Frameworks for Prediction of Cardiovascular Disease". 9th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2023), Prag, Czech Republic, 22-24 April 2023
  • Sengun, B., Iscan, Y., Tataroglu Ozbulak, G.A. , Kumbasar, N., Egriboz, E., Sormaz, I.C., Aksakal, N., Deniz, S.M., Haklidir,  M., Tunca, F., Giles, Y. ": Artificial Intelligence in Minimally Invasive Adrenalectomy: Recognition of the Left Adrenal Vein Using Deep Learning". 11th Turkish National Endocrine Surgery Congress, Antalya, Turkiye, 16-19 March 2023.

Tezler

  • Demiral, Yasemin. “Bulut Bilişimde Etkin Sanal Makine Göçü için Yöntemler Geliştirme” Ms Thesis. Gazi Üniversitesi, Fen Bilimleri Enstitüsü, 2019.
  • Küçüker, Mehmet Emin. “Web uygulamaları için bulut ve konteyner tabanlı test otomasyon hizmeti” MS Thesis. Sakarya Üniversitesi, Fen Bilimleri Enstitüsü, 2018.
  • Döngel, Tuğçe. Büyük imge veri tabanlarında erişim için yarı eğitmenli görsel temsiller. MS thesis. ESOGÜ, Fen Bilimleri Enstitüsü, 2016.
  • Girgin, Canan, and Banu DİRİ. "Şartlı Rastgele Alanlar ile Türkçe Wikipedia Sayfalarından Semantik İlişkilerin Çıkarılması." 2014.
  • Kırtaç, Sinem. “Popülarite tabanlı sıralama algoritmalarının doğruluk değerlerini arttırmaya yönelik yöntem geliştirilmesi”. MS thesis. Yıldız Teknik Üniversitesi, Fen Bilimleri Enstitiüsü, 2014.
  • Halepmollası R. (2016) Alt Sekans Profil Haritaları Kullanılarak Protein Katlanması Tanıma. Computer Engineering Graduate Program. Istanbul Technical University.