Doç. Dr. HACER YALIM KELEŞ

Makaleler 18

1. Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution

Ozdemir Z., YALIM KELEŞ H., TANRIÖVER Ö. Ö.

IEEE Journal of Biomedical and Health Informatics , cilt.30, sa.4, ss.3132-3145, 2026 (SCI-Expanded, Scopus)

2. CLoE: Curriculum Learning on Endoscopic Images for Robust MES Classification

Özdemir Z., YALIM KELEŞ H., TANRIÖVER Ö. Ö.

IEEE Access , cilt.14, ss.30441-30454, 2026 (SCI-Expanded, Scopus)

3. SVInvNet: A Densely Connected Encoder-Decoder Architecture for Seismic Velocity Inversion

Khatounabad M. N., YALIM KELEŞ H., KADIOĞLU S.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 (SCI-Expanded, Scopus)

4. Iterative facial image inpainting based on an encoder-generator architecture

Dogan Y., Keles H.

Neural Computing and Applications , cilt.34, sa.12, ss.10001-10021, 2022 (SCI-Expanded, Scopus)

5. A Hierarchical Approach to Remote Sensing Scene Classification

Sen O., Keles H.

PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science , cilt.90, sa.2, ss.161-175, 2022 (SCI-Expanded, Scopus)

6. Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition

Mercanoglu Sincan O., Keles H.

IEEE Access , cilt.10, ss.18608-18618, 2022 (SCI-Expanded, Scopus)

7. Evaluation of hidden Markov models using deep CNN features in isolated sign recognition

Tur A. O., Keles H.

MULTIMEDIA TOOLS AND APPLICATIONS , cilt.80, sa.13, ss.19137-19155, 2021 (SCI-Expanded, Scopus)

8. On the Evaluation of CNN Models in Remote-Sensing Scene Classification Domain

Sen O., Keles H.

PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE , cilt.88, sa.6, ss.477-492, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

9. Semi-supervised image attribute editing using generative adversarial networks

Dogan Y., Keles H.

NEUROCOMPUTING , cilt.401, ss.338-352, 2020 (SCI-Expanded, Scopus)

10. Learning multi-scale features for foreground segmentation

Lim L. A., Keles H.

PATTERN ANALYSIS AND APPLICATIONS , cilt.23, sa.3, ss.1369-1380, 2020 (SCI-Expanded, Scopus)

11. AUTSL: A Large Scale Multi-Modal Turkish Sign Language Dataset and Baseline Methods

Sincan O. M., Keles H.

IEEE ACCESS , cilt.8, ss.181340-181355, 2020 (SCI-Expanded, Scopus)

12. DeepVoCoder: A CNN Model for Compression and Coding of Narrow Band Speech

Keles H., Rozhon J., Ilk H. G., Voznak M.

IEEE ACCESS , cilt.7, ss.75081-75089, 2019 (SCI-Expanded, Scopus)

13. Foreground segmentation using convolutional neural networks for multiscale feature encoding

Lim L. A., Keles H.

PATTERN RECOGNITION LETTERS , cilt.112, ss.256-262, 2018 (SCI-Expanded, Scopus)

14. Embedding parts in shape grammars using a parallel particle swarm optimization method on graphics processing units

Keles H.

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING , cilt.32, sa.3, ss.256-268, 2018 (SCI-Expanded, Scopus)

15. A robust method for scale independent detection of curvature-based criticalities and intersections in line drawings

Keles H., TARI Z. S.

PATTERN RECOGNITION , cilt.48, sa.1, ss.140-155, 2015 (SCI-Expanded, Scopus)

16. Weighted shapes for embedding perceived wholes

Keles H., Özkar Kabakçıoğlu M., Tani S.

ENVIRONMENT AND PLANNING B-PLANNING & DESIGN , cilt.39, sa.2, ss.360-375, 2012 (SSCI, Scopus)

17. Embedding shapes without predefined parts

Keles H., Özkar Kabakçıoğlu M., TARI Z. S.

ENVIRONMENT AND PLANNING B-PLANNING & DESIGN , cilt.37, sa.4, ss.664-681, 2010 (SSCI, Scopus)

18. Acceleration of direct volume rendering with programmable graphics hardware

Yalim Keles H., Es A., Isler V.

VISUAL COMPUTER , cilt.23, sa.1, ss.15-24, 2007 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 19

1. Few-shot Audio Classification using Contrastive Training

Cigdem E. F., YALIM KELEŞ H.

32nd IEEE Signal Processing and Communications Applications Conference (SIU), Mersin, Türkiye, 15 - 18 Mayıs 2024, (Tam Metin Bildiri)

2. Towards Better Communication: Refining Hand Pose Estimation in Low-Resolution Sign Language Videos

Tasyurek U. M., Kiziltepe T., YALIM KELEŞ H.

18th International Conference on Automatic Face and Gesture Recognition (FG), İstanbul, Türkiye, 27 - 31 Mayıs 2024, (Tam Metin Bildiri)

3. Skin Disease Classification using Few-Shot Meta-Transfer Learning Birkaç Atişli Meta-Transfer Öǧrenme ile Cilt Hastaliǧi Siniflandirma

ÖZDEMİR Z., YALIM KELEŞ H., Ozgur Tanriover O.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

4. A Novel Visual Attribute Disentanglement Approach using Self-Supervision Yeni Bir Öz-Denetimli Görsel Özellik Ayriştirma Yöntemi

Aktas A. A., YALIM KELEŞ H., ASKERBEYLİ İ.

30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)

5. Deep learning based cell segmentation using cascaded U-net models Ardişik U-net modelleri ile derin öǧrenme tabanli hücre bölütlemesi

Bakir M. E., Yalim Keles H.

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Türkiye, 9 - 11 Haziran 2021, (Tam Metin Bildiri)

6. Covid-19 detection in chest X-ray images with deep learning Derin öǧrenme ile göǧüs röntgeni görüntülerinde Covid-19 algilama

ÖZDEMİR Z., Yalim Keles H.

29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021, Virtual, Istanbul, Türkiye, 9 - 11 Haziran 2021, (Tam Metin Bildiri)

7. ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

Sincan O. M., Jacques Junior J. C. S., Escalera S., Keles H.

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ELECTR NETWORK, 19 - 25 Haziran 2021, ss.3467-3476, (Tam Metin Bildiri)

Metrikler

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

221

H-İndeks (WoS)

Atıf (Scopus)

842

H-İndeks (Scopus)

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Açık Erişim

BM Sürdürülebilir Kalkınma Amaçları

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