ARAMA SONUÇLARI

Toplam 12 adet sonuçtan 12 tanesi görüntülenmektedir.

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

Inpainting by deep autoencoders using an advisor network

2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017

DEMİR UĞUR,ÜNAL GÖZDE

Gözde Ünal Tam metin bildiri

Integrating fuzzy logic into deep autoencoders for interpretability and clustering

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2021

KUTAY BÖLAT

Tufan Kumbasar Tez Yüksek Lisans Tamamlandı

Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers

2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 19 Temmuz 2020

BÖLAT KUTAY,KUMBASAR TUFAN

Tufan Kumbasar Tam metin bildiri

Deep learning frameworks to learn prediction and simulation focused control system models

Springer Science and Business Media LLC, Vol. 52, No. 1, Ocak 2022, ISSN: 0924-669X

TUNA TURCAN, BEKE AYKUT, KUMBASAR TUFAN

Tufan Kumbasar Özgün Makale Nonlinear system identification Time series prediction Deep learning Autoencoders LSTM

Vehicle Logo Recognition with Reduced-Dimension SIFT Vectors Using Autoencoders

International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 2 Eylül 2017

TÖREYİN BEHÇET UĞUR,KESER REYHAN KEVSER,ERGUN ESRA

Behçet Uğur Töreyin Tam metin bildiri

Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders

2020 28th Signal Processing and Communications Applications Conference (SIU), Gaziantep/TÜRKİYE, 5 Ekim 2020

KESER REYHAN KEVSER, NALLBANİ INDRİT, ÇALIK NURULLAH, AYANZADEH AYDIN, TÖREYİN BEHÇET UĞUR

Behçet Uğur Töreyin Tam metin bildiri

Surrogate Unsteady Aerodynamic Modeling with Autoencoders and Long-Short Term Memory Networks

2022 AIAA Scitech Forum, San Diego (Online)/AMERİKA BİRLEŞİK DEVLETLERİ, 3 Ocak 2022

TEKASLAN HÜSEYİN EMRE, DEMİROGLU YUSUF, NİKBAY MELİKE

Melike Nikbay Tam metin bildiri aerodynamicsupersonicunsteady

Vehicle Logo Recognition with Reduced-Dimension SIFT Vectors Using Autoencoders

International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 2 Eylül 2017

TÖREYİN BEHÇET UĞUR,KESER REYHAN KEVSER,ERGUN ESRA

Reyhan Kevser Keser Tam metin bildiri

Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders

2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020

KESER REYHAN KEVSER, NALLBANİ İNDRİT, ÇALIK NURULLAH, AYANZADEH AYDİN, TÖREYİN BEHÇET UĞUR

Reyhan Kevser Keser Tam metin bildiri

Real time detection of acoustic anomalies in industrial processes using sequential autoencoders

EXPERT SYSTEMS, Vol. 38, No. 1, Ocak 2021, s. 1-12, ISSN: 1468-0394

BAYRAM BARIŞ, DUMAN TAHA BERKAY, İNCE GÖKHAN

Gökhan İnce Özgün Makale

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