Dr. Öğr. Üyesi AYKUT GÖRKEM GELEN

Yayın Ağı

Makaleler 3

1. Improving the Performance of Ensemble Models With Class Activation Maps

Gelen A. G.

Electrica , cilt.25, sa.1, ss.1-13, 2025 (ESCI, Scopus, TRDizin)

2. SPAYK: An environment for spiking neural network simulation

Gelen A. G., Atasoy A.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , cilt.31, sa.2, ss.462-480, 2023 (SCI-Expanded)

3. An Artificial Neural SLAM Framework for Event-Based Vision

GELEN A. G., ATASOY A.

IEEE Access , cilt.11, ss.58436-58450, 2023 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 5

1. Unsupervised Pattern Recognition with Spiking Neuron Groups Vuru reten N ron Gruplari ile G zetimsiz r nt Tanima

GELEN A. G., Şengör N. S., ELİBOL R., Isler Y. S., Bilgic E., Yalabik N. B.

33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025, İstanbul, Türkiye, 25 - 28 Haziran 2025, (Tam Metin Bildiri)

2. Spiking Neural Networks Involving a New Learning Paradigm

İşler Y. S., Şengör N. S., Elibol R., Gelen A. G.

10th International Symposium on Brain and Cognitive Science, Ankara, Türkiye, 1 - 02 Kasım 2024, ss.82-83, (Özet Bildiri)

3. A New Method for Kalman Filter Tuning

Gelen A. G., Atasoy A.

2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018, Malatya, Türkiye, 28 - 30 Eylül 2018, (Tam Metin Bildiri)

4. Target tracking analysis with Kalman filter in case of model mismatch Model Uyumsuzluǧunda Kalman Filtresi ile Hedef İzleme Analizi

Gelen A. G., Atasoy A.

25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15 - 18 Mayıs 2017, (Tam Metin Bildiri)

5. Multiple Target Tracking Simulation at an Intersection

Gelen A. G., Atasoy A.

5th International Conference on Advanced Technology & Sciences, İstanbul, Türkiye, 9 - 12 Mayıs 2017, ss.748-753, (Tam Metin Bildiri)

Metrikler

Dr. Öğr. Üyesi AYKUT GÖRKEM GELEN

Yayınlar & Eserler

1. Improving the Performance of Ensemble Models With Class Activation Maps

2. SPAYK: An environment for spiking neural network simulation

3. An Artificial Neural SLAM Framework for Event-Based Vision

1. Unsupervised Pattern Recognition with Spiking Neuron Groups Vuru reten N ron Gruplari ile G zetimsiz r nt Tanima

2. Spiking Neural Networks Involving a New Learning Paradigm

3. A New Method for Kalman Filter Tuning

4. Target tracking analysis with Kalman filter in case of model mismatch Model Uyumsuzluǧunda Kalman Filtresi ile Hedef İzleme Analizi

5. Multiple Target Tracking Simulation at an Intersection

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Atıf (Sobiad)

H-İndeks (Sobiad)

Proje

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