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Özel Aralık Girişi
Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Yusuf Yaslan Tam metin bildiri Brain EEG AnalysisArousal RecognitionMulti-channel sensor processingSignal ProcessingkNNRandom ForestsAutoencodersFeature LearningBrain Computer Interface
Multi Channel Brain EEG Signals Based Emotional Arousal Classification with Unsupervised Feature Learning using Autoencoders
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 15 Mayıs 2017
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Tam metin bildiri Brain EEG AnalysisArousal RecognitionMulti-channel sensor processingSignal ProcessingkNNRandom ForestsAutoencodersFeature LearningBrain Computer Interface
Audio Genre Classification with Semi-Supervised Feature Ensemble Learning
2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009
YASLAN YUSUF,ÇATALTEPE ZEHRA
Yusuf Yaslan Tam metin bildiri
Deep feature transfer from deep learning models into machine learning algorithms to classify COVID-19 from chest X-ray images
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2021
OZAN GÜLDALİ
Gül İnan Tez Yüksek Lisans Tamamlandı
Statistical Feature Learning and Signal Generation for Sensor Signals
International Graduate Research Symposium, İstanbul/TÜRKİYE, 1 Haziran 2022
KARAKUŞ ERKAN, KÖSE HATİCE, ÖZEN FİGEN
Hatice Köse Özet Bildiri
Football player feature learning using graphs for recommendation and retrieval
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
ÖZNUR İLAYDA YILMAZ
Şule Öğüdücü Tez Yüksek Lisans Tamamlandı
Comparison of feature selection and extraction methods and active learning in voice based emotion recognition systems
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
TOLGA ATALAY
Yusuf Yaslan Tez Yüksek Lisans Tamamlandı
Statistical feature learning and signal generation for time-series sensor signals
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
ERKAN KARAKUŞ
Hatice Köse Tez Doktora Tamamlandı
Improving Classification Performance of Fully Connected Layers by Fuzzy Clustering in Transformed Feature Space
SYMMETRY-BASEL, Vol. 14, No. 4, Mart 2022, s. 1-14, ISSN: 2073-8994
KALAYCI TOLGA AHMET, ASAN UMUT
Umut Asan Özgün Makale fully connected layerclassificationfuzzy clusteringneural networksmachine learningdeep learningSEMI-SUPERVISED CLASSIFICATIONNEURAL-NETWORKALGORITHMSREGULARIZATION
Machine learning-based estimation of energy dissipation capacity of RC shear walls
STRUCTURES, Vol. 45, Kasım 2022, s. 10, ISSN: 2352-0124
TOPALOGLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP
Zeynep Değer Özgün Makale Cumulative dissipated energy Energy-based design approach Feature selection Machine learning Predictive models Reinforced concrete shear walls
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, Ocak 2022, ISSN: 0196-2892
TAŞKIN KAYA GÜLŞEN, CAMPS-VALLS GUSTAU
Gülşen Taşkın Kaya Özgün Makale Hyperspectral imaging Manifold learning Germanium Manifolds Kernel Laplace equations Eigenvalues and eigenfunctions Dimensionality reduction (DR) feature extraction hyperspectral image (HSI) classification manifold learning manifold out-of-sample (OOS) problem
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Yusuf Yaslan Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
An adaptive and enhanced framework for daily stock market prediction using feature selection and ensemble learning algorithms
Informa UK Limited, Vol. 7, Ekim 2023, ISSN: 2573-234X
SİVRİ MAHMUT SAMİ, ÜSTÜNDAĞ ALP
Alp Üstündağ Özgün Makale
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation
Entropy, Vol. 24, No. 11, Kasım 2022, ISSN: 1099-4300
YÜCEL MERİÇ, BAGİS SERDAR, SERTBAŞ AHMET, ÜSTÜNDAĞ BURAK BERK
Meriç Yücel Özgün Makale clustering codebook generation cortical coding model distortion entropy maximization execution time feature extraction machine learning real-time execution vector quantization
Autonomous Cell Feature Selection by Machine Learning
American Society of Cell Biology ASCB|EMBO Meeting, Washington, D.C./AMERİKA BİRLEŞİK DEVLETLERİ, 3 Aralık 2022
TİRYAKİ VOLKAN MÜJDAT, AYRES VIRGINIA M, AHMED IJAZ, SHREIBER DAVID I
Volkan Müjdat Tiryaki Özet Bildiri
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
Yusuf Yaslan Tam metin bildiri
Integrating Feature Engineering, Genetic Algorithm and Tree-Based Machine Learning Methods to Predict the Post-Accident Disability Status of Construction Workers
Automation in Construction, Vol. 131, Kasım 2021, s. 103896-103896, ISSN: 0926-5805
KOÇ KERİM, EKMEKCİOĞLU ÖMER, GÜRGÜN ASLI PELİN
Ömer Ekmekcioğlu Özgün Makale
An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems
2019 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), 25 Nisan 2019, s. 184-188
KESİCİ MERT,SANER CAN BERK,MAHDİ MOHAMMED,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
Yusuf Yaslan Tam metin bildiri transient stabilityPMU placementmachine learningfeature selectionEarly prediction
Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol. 60, Ocak 2022, s. 11, ISSN: 0196-2892
EFREMOVA NATALİA, EL AMİNE SEDDİK MOHAMED, ERTEN ESRA
Esra Erten Özgün Makale Soil moisture Feature extraction Satellites Data models Predictive models Training Soil measurements Agriculture generative adversarial networks (GANs) machine learning (ML) Sentinel-1 Sentinel-2 soil moisture (SM) unsupervised domain adaptation

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