Artificial Learning Lab @ Bogazici University

Research

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Highlighted

[no title info]
[no publisher info]  ·  [no date info]
## All

2026

STAR-GO: improving protein function prediction by learning to hierarchically integrate ontology-informed semantic embeddings
Mehmet Efe Akça, Gökçe Uludoğan, Arzucan Özgür, İnci M. Baytaş
Oxford University Press  ·  25 Mar 2026
Real-World Multimodal Machine Learning for Risk Enrichment Across the Alzheimer's Disease Spectrum
Nazli Gamze Bülbül, İnci M. Baytaş, Efekan Kavalci, Elvan Karasu, Başak Ceren Okcu Korkmaz, …, Ayşe Rana Övüt, Nefise Esa Arslanoğlu, Muammer Urhan, Hakan Mutlu, Mehmet Fatih Özdağ
MDPI  ·  16 Mar 2026

2025

Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
arXiv Preprint  ·  28 Aug 2025
Cross Attentive Multi-Cue Fusion for Skeleton-Based Sign Language Recognition
Oğulcan Özdemir, İnci M. Baytaş, Lale Akarun
IEEE Access  ·  12 Jun 2025
Conversion-aware forecasting of Alzheimer's disease via featurewise attention
Elvan Karasu, İnci M. Baytaş
Springer London  ·  20 Mar 2025

2024

Out-of-Distribution Detection with Prototype Similarity
Ozan Özgür, İnci M. Baytaş
IEEE  ·  11 Dec 2024
Channel-Attentive Graph Neural Networks
Tuğrul Hasan Karabulut, İnci M. Baytaş
2024 IEEE International Conference on Data Mining (ICDM)  ·  09 Dec 2024
Adversarial Robustness for Deep Metric Learning
Ezgi Paket, İnci M. Baytaş
2024 IEEE International Conference on Image Processing (ICIP)  ·  27 Oct 2024
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
İlkay Sikdokur, İnci M. Baytaş, Arda Yurdakul
IEEE Access  ·  13 Sep 2024
Perturbation Augmentation for Adversarial Training with Diverse Attacks
Duygu Serbes, İnci M. Baytaş
Gazi University Journal of Science Part A: Engineering and Innovation  ·  29 Jun 2024
Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks
İnci M. Baytaş
IEEE Journal of Biomedical and Health Informatics  ·  01 Jun 2024
Hand Graph Topology Selection for Skeleton-Based Sign Language Recognition
Oğulcan Özdemir, İnci M. Baytaş, Lale Akarun
2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)  ·  27 May 2024
Signer-independent sign language recognition with feature disentanglement
İnci M. Baytaş, İpek Erdoğan
Turkish Journal of Electrical Engineering and Computer Sciences  ·  20 May 2024

2023

Multi-cue temporal modeling for skeleton-based sign language recognition
Oğulcan Özdemir, İnci M. Baytaş, Lale Akarun
Frontiers in Neuroscience  ·  05 Apr 2023
Editorial: Pattern recognition for healthcare analytics
İnci M. Baytaş, Yifan Peng, Arzucan Özgür
Frontiers in Digital Health  ·  30 Mar 2023

2022

Image Classification on Accelerated Neural Networks
İlkay Sikdokur, İnci M. Baytaş, Arda Yurdakul
arXiv Preprint  ·  21 Mar 2022

2020

Adversarial Training with Orthogonal Regularization
Oğuz Kaan Yüksel, İnci M. Baytaş
2020 28th Signal Processing and Communications Applications Conference (SIU)  ·  05 Oct 2020

Investigating conversion from mild cognitive impairment to alzheimer's disease using latent space manipulation
Deniz Sezin Ayvaz, İnci M. Baytaş
The International Symposium on Health Informatics and Bioinformatics  ·  [no date info]