Curriculum Learning for Face Recognition. - Baris Büyüktas; Çigdem Eroglu Erdem; Arif Tanju Erdem (EUSIPCO, 2020)

Estimating Capture Probabilities for Complex Topologies in 2D Molecular Communication via Diffusion Channel using Artificial Neural Networks. - Halil Umut Ozdemir; Halil Ibrahim Orhan; Meriç Turan; Baris Büyüktas; H. Birkan Yilmaz 001 (BlackSeaCom, 2021)

A Mock Circulatory Network Testbed for Molecular Communications. - Baris Büyüktas; Oguzhan Yetimoglu; Abdurrahman Dilmaç; Zeliha Cansu Canbek; H. Birkan Yilmaz 001 (SIU, 2021)

Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (IGARSS, 2023)

Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (CoRR, 2023)

More learning with less labeling for face recognition. - Baris Büyüktas; Çigdem Eroglu Erdem; A. Tanju Erdem (Digit. Signal Process., 2023)

Transformer-Based Federated Learning For Multi-Label Remote Sensing Image Classification. - Baris Büyüktas; Kenneth Weitzel; Sebastian Völkers; Felix Zailskas; Begüm Demir (IGARSS, 2024)

Estimating channel coefficients for complex topologies in 3D diffusion channel using artificial neural networks. - Halil Umut Ozdemir; Halil Ibrahim Orhan; Meriç Turan; Baris Büyüktas; H. Birkan Yilmaz 001 (Nano Commun. Networks, 2024)

Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification. - Jonas Klotz; Baris Büyüktas; Begüm Demir (CoRR, 2025)

A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification. - Baris Büyüktas; Gencer Sumbul; Begüm Demir (CoRR, 2025)