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Toplam 33 adet sonuçtan 20 tanesi görüntülenmektedir.

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Özel Aralık Girişi
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol. 17, Şubat 2024, s. 13, ISSN: 1939-1404
ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER
Muhammed Enes Atik Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud
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
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
Feature selection by machine learning models to identify the public’s changing priorities during the COVID-19 pandemic
IOS Press, Vol. 14, Eylül 2022, ISSN: 1876-1364
MENGÜÇ KENAN, AYDIN NEZİR
Kenan Mengüç Özgün Makale
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
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
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
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
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
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
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
Emboli Detection by machine learning algorithms using multi-level feature extraction
2024 8th International Conference on Image and Signal Processing and their Applications, BISKRA/CEZAYİR, 21 Nisan 2024
LONE AB WAHEED,ELBİR AHMET,AYDIN NİZAMETTİN
Nizamettin Aydın Tam metin bildiri
A New Method to Detect Malicious DNS over HTTPS via Feature Reduction
2024 9th International Conference on Computer Science and Engineering (UBMK), Antalya/TÜRKİYE, 26 Ekim 2024, s. 754-759, ISSN: 2521-1641
BOZKURT ALİ KEREM,SÖNMEZ SARIKAYA BURCU,AKÖZ HALİL EFE,TAŞPINAR ATABERK,BAHTİYAR ŞERİF
Şerif Bahtiyar Tam metin bildiri DNS TunnelingDoHMachine LearningFeature Reduction
Classification of Stochastic Processes with Topological Data Analysis
BAŞARIM2022- 7. Ulusal Yüksek Başarımlı Hesaplama Konferansı, İstanbul/TÜRKİYE, 11 Mayıs 2022
GÜZEL İSMAİL, KAYGUN ATABEY
Atabey Kaygun Tam metin bildiri persistent homologystochastic processmachine learningfeature engineering
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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