Sparse coding based classifier ensembles in supervised and active learning scenarios for data classification
EXPERT SYSTEMS WITH APPLICATIONS, Vol. 91, Ocak 2018, s. 364-373, ISSN: 0957-4174
TÜYSÜZOĞLU GÖKSU,YASLAN YUSUF
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Stock market prediction with deep learning using financial news
2018 26th Signal Processing and Communications Applications Conference (SIU), Izmir/TÜRKİYE, 2 Mayıs 2018
GÜNDÜZ HAKAN,ÇATALTEPE ZEHRA,YASLAN YUSUF
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Wide Area Measurement Based Online Monitoring and Event Detection Using Convolutional Neural Networks
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 223
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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DeMETER in clouds: detection of malicious external thread execution in runtime with machine learning in PaaS clouds
Cluster Computing-The Journal of Networks Software Tools and Applications, Vol. 23, Nisan 2020, s. 2565-2578, ISSN: 1386-7857
SANDIKKAYA MEHMET TAHİR,YASLAN YUSUF,ÖZDEMİR CEMİLE DİLER
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A Smart City Application: Business Location Estimator using Machine Learning Techniques
16th IEEE Conference on Smart City (Smart City-2018), Exeter/İNGİLTERE, 28 Haziran 2018
BİLEN TUĞÇE,ÖZÇEVİK MÜGE,YASLAN YUSUF,OKTUĞ SEMA FATMA
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A Comparison Framework of Similarity Metrics Used for Web Access Logs Analysis
International Conference on Machine Learning and Data Mining (MLDM 2007), 18 Haziran 2007
YASLAN YUSUF,ÇATALTEPE ZEHRA
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Random Relevant and Non-redundant Feature Subspaces for Co-training
10th Int. Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2009, 23 Eylül 2009
YASLAN YUSUF,ÇATALTEPE ZEHRA
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Machine learning aided diagnosis of hepatic malignancies through in vivo dielectric measurements with microwaves
Physics in Medicine and Biology, Vol. 61, No. 13, Temmuz 2016, s. 5089-5102, ISSN: 0031-9155
YİLMAZ TUBA,KILIÇ MAHMUT ALP,ERDOĞAN MELİKE,ÇAYÖREN MEHMET,TUNAOĞLU DORUK,KURTOĞLU İSMAİL,YASLAN YUSUF,ÇAYÖREN HÜSEYİN,ARIKAN AKİF ENES,TEKSÖZ SERKAN,CANDAN GÜLDEN,KEPİL NURAY,ERDAMAR ÇETİN AYŞE SİBEL,ÖZCAN MURAT,AKDUMAN İBRAHİM,KALKAN TUNAYA
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Biomedical Data Classification Using Supervised Classifiers and Ensemble Based Dictionaries
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), No. null, 15 Mayıs 2017
TÜYSÜZOĞLU GÖKSU,YASLAN YUSUF
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Emotion Aware Artificial Intelligence agents via Plethysmography and Machine Learning Algorithms
4th International Symposium on Engineering, Artificial Intelligence and Applications, 2 Kasım 2016
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Emotion Recognition via Multi Channel EEG Signal Fusion and Pattern Recognition
Eusipco 2017 Multi-Learn 2017: Multimodal processing, modeling and learning approaches for human-computer/robot interaction Workshop, 2 Eylül 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
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Relevant subtask learning by constrainedmixture models
Intelligent Data Analysis, Vol. 14, No. 6, Kasım 2010, s. 641-662, ISSN: 1088-467X
PELTONAN JAAKKO,YASLAN YUSUF,KASKİ SAMUEL
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DEMIAL: an active learning framework for multiple instance image classification using dictionary ensembles
Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 26, Ocak 2018, s. 593-604, ISSN: 1300-0632
KOÇYİĞİT GÖKHAN,YASLAN YUSUF
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Comparative Assessment of Sensing Modalities on Manipulation Failure Detection
IEEE International Conference on Robotics and Automation (ICRA) Workshop on Perception, Inference and Learning for Joint Semantic, Geometric and Physical Understanging, 21 Mayıs 2018
İNCEOĞLU ARDA,İNCE GÖKHAN,YASLAN YUSUF,SARIEL SANEM
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“IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı Sergisi
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 15 Mayıs 2019 - 31 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
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”IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 3 Nisan 2019 - 15 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
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System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
Patent No: 8,380,644, Patent Sınıfı: US, 2013
A. ZOUHAR, S.H. BALOCH, S. AZERNİKOV, C. BAHLMANN, T. FANG, G. UNAL, S. FUCHS
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Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
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Developing a Self-Learning Based Method that Can Be Used as a Reinforcer of PID Control Algorithm and / or an Alternative to PID
Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2020
COŞKU ISPALAR
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Bayesian reinforcement learning with MCMC to maximize energy output in hardware-in-the-loop simulations of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
USAMAH YAASEEN OSMAN
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