Yayınlar & Eserler

ATLAS Yayın Analitiği
Makaleler 15
Tümü (15)
SCI-E, SSCI, AHCI (12)
SCI-E, SSCI, AHCI, ESCI (13)
ESCI (1)
Scopus (14)
TRDizin (2)

1. STAR-GO: improving protein function prediction by learning to hierarchically integrate ontology-informed semantic embeddings

Akça M. E., ULUDOĞAN G., ÖZGÜR TÜRKMEN A., BAYTAŞ İ. M.
Bioinformatics , cilt.42, sa.4, 2026 (SCI-Expanded, Scopus)

2. Real-World Multimodal Machine Learning for Risk Enrichment Across the Alzheimer’s Disease Spectrum

Bülbül N. G., BAYTAŞ İ. M., KAVALCI E., Karasu E., Okcu Korkmaz B. C., Belen B. G., et al.
Journal of Clinical Medicine , cilt.15, sa.6, 2026 (SCI-Expanded, Scopus)

3. The 2nd International Workshop on Pattern Recognition in Healthcare Analytics 2023 Preface

BAYTAŞ İ. M.
Journal of computational biology : a journal of computational molecular cell biology , cilt.32, sa.6, ss.557, 2025 (SCI-Expanded, Scopus)

4. Conversion-aware forecasting of Alzheimer’s disease via featurewise attention

Karasu E., BAYTAŞ İ. M.
Pattern Analysis and Applications , cilt.28, sa.2, 2025 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

5. Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition

Ozdemir O., BAYTAŞ İ. M., AKARUN ERSOY L.
IEEE Access , cilt.13, ss.106201-106217, 2025 (SCI-Expanded, Scopus)

6. Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia with Adversarial Attacks

BAYTAŞ İ. M.
IEEE Journal of Biomedical and Health Informatics , cilt.28, sa.6, ss.3750-3761, 2024 (SCI-Expanded, Scopus)

7. Perturbation Augmentation for Adversarial Training with Diverse Attacks

SERBES D., BAYTAŞ İ. M.
Gazi University Journal of Science Part A: Engineering and Innovation , cilt.11, sa.2, ss.274-288, 2024 (TRDizin)

8. Signer-independent sign language recognition with feature disentanglement

Erdoğan İ., BAYTAŞ İ. M.
Turkish Journal of Electrical Engineering and Computer Sciences , cilt.32, sa.3, ss.420-435, 2024 (SCI-Expanded, Scopus, TRDizin) Sürdürülebilir Kalkınma

9. EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence

Sikdokur İ., BAYTAŞ İ. M., YURDAKUL A.
IEEE Access , cilt.12, ss.168314-168327, 2024 (SCI-Expanded, Scopus)

10. Robustness-via-synthesis: Robust training with generative adversarial perturbations

BAYTAŞ İ. M., Deb D.
Neurocomputing , cilt.516, ss.49-60, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Editorial: Pattern recognition for healthcare analytics

BAYTAŞ İ. M., Peng Y., ÖZGÜR TÜRKMEN A.
Frontiers in Digital Health , cilt.5, 2023 (ESCI, Scopus) Creative Commons License

12. Multi-cue temporal modeling for skeleton-based sign language recognition

Özdemir O., BAYTAŞ İ. M., AKARUN ERSOY L.
Frontiers in Neuroscience , cilt.17, 2023 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

13. An MCEM framework for drug safety signal detection and combination from heterogeneous real world evidence

Xiao C., Li Y., BAYTAŞ İ. M., Zhou J., Wang F.
Scientific Reports , cilt.8, sa.1, 2018 (SCI-Expanded, Scopus) Creative Commons License

14. Stochastic convex sparse principal component analysis

BAYTAŞ İ. M., Lin K., Wang F., Jain A. K., Zhou J.
Eurasip Journal on Bioinformatics and Systems Biology , cilt.2016, sa.1, 2016 (Scopus) Creative Commons License

15. PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records

BAYTAŞ İ. M., Lin K., Wang F., Jain A. K., Zhou J.
IEEE Transactions on Multimedia , cilt.18, sa.11, ss.2257-2270, 2016 (SCI-Expanded, Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 12

1. Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition

Ozdemir O., BAYTAŞ İ. M., AKARUN ERSOY L.
18th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2024, İstanbul, Türkiye, 27 - 31 Mayıs 2024, (Tam Metin Bildiri)

2. Channel-Attentive Graph Neural Networks

Karabulut T. H., BAYTAŞ İ. M.
24th IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, Birleşik Arap Emirlikleri, 9 - 12 Aralık 2024, ss.729-734, (Tam Metin Bildiri) Creative Commons License

3. ADVERSARIAL ROBUSTNESS FOR DEEP METRIC LEARNING

Paket E., BAYTAŞ İ. M.
31st IEEE International Conference on Image Processing, ICIP 2024, Abu Dhabi, Birleşik Arap Emirlikleri, 27 - 30 Ekim 2024, ss.367-373, (Tam Metin Bildiri)

4. Investigating conversion from mild cognitive impairment to alzheimer’s disease using latent space manipulation

Ayvaz D. S., BAYTAŞ İ. M.
The International Symposium on Health Informatics and Bioinformatics, Türkiye, 20 Ekim 2022, (Tam Metin Bildiri)

5. Adversarial Training with Orthogonal Regularization Dikey Duzenlestirme ile Hasmane Egitim

Yuksel O. K., BAYTAŞ İ. M.
28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Türkiye, 5 - 07 Ekim 2020, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

6. Heterogeneous Hyper-Network Embedding

BAYTAŞ İ. M., Xiao C., Wang F., Jain A. K., Zhou J.
18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, Singapur, 17 - 20 Kasım 2018, cilt.2018-November, ss.875-880, (Tam Metin Bildiri)

7. Subspace network: Deep multi-task censored regression for modeling neurodegenerative diseases

Sun M., BAYTAŞ İ. M., Zhan L., Wang Z., Zhou J.
24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, İngiltere, 19 - 23 Ağustos 2018, ss.2259-2268, (Tam Metin Bildiri)

8. Patient subtyping via time-aware LSTM networks

BAYTAŞ İ. M., Xiao C., Zhang X., Wang F., Jain A. K., Zhou J.
23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, Halifax, Kanada, 13 - 17 Ağustos 2017, cilt.Part F129685, ss.65-74, (Tam Metin Bildiri)

9. Privacy-preserving distributed multi-task learning with asynchronous updates

Xie L., BAYTAŞ İ. M., Lin K., Zhou J.
23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2017, Halifax, Kanada, 13 - 17 Ağustos 2017, cilt.Part F129685, ss.1195-1204, (Tam Metin Bildiri)

10. Multi-task feature interaction learning

Lin K., Xu J., BAYTAŞ İ. M., Ji S., Zhou J.
22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016, California, Amerika Birleşik Devletleri, 13 - 17 Ağustos 2016, cilt.13-17-August-2016, ss.1735-1744, (Tam Metin Bildiri)

11. Asynchronous multi-Task learning

BAYTAŞ İ. M., Yan M., Jain A. K., Zhou J.
16th IEEE International Conference on Data Mining, ICDM 2016, Barcelona, Catalonia, İspanya, 12 - 15 Aralık 2016, cilt.0, ss.11-20, (Tam Metin Bildiri)

12. Head motion classification with 2D motion estimation 2-B hareket kestirimi ile baş dönüş hareketinin siniflandirilmasi

BAYTAŞ İ. M., Günsel B.
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.325-328, (Tam Metin Bildiri)
Metrikler

Yayın

27

Yayın (Scopus)

25

Atıf (Scopus)

963

H-İndeks (Scopus)

10

Proje

1

Tez Danışmanlığı

8

Açık Erişim

14
BM Sürdürülebilir Kalkınma Amaçları
SDG 3: AMAÇ 3: SAĞLIKLI BİREYLER
SDG 11: AMAÇ 11: SÜRDÜRÜLEBİLİR ŞEHİR VE YAŞAM ALANLARI