An Empirical Study of the Relation Between Network Architecture and Complexity. - Emir Konuk; Kevin Smith 001 (ICCV Workshops, 2019)

Adding seemingly uninformative labels helps in low data regimes. - Christos Matsoukas; Albert Bou I Hernandez; Yue Liu; Karin Dembrower; Gisele Miranda; Emir Konuk; Johan Fredin Haslum; Athanasios Zouzos; Peter Lindholm; Fredrik Strand; Kevin Smith 001 (ICML, 2020)

Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition. - Leonardo F. S. Scabini; Kallil M. C. Zielinski; Ricardo T. Fares; Emir Konuk; Gisele Miranda; Rosana Marta Kolb; Lucas Correia Ribas; Odemir M. Bruno (ICMLT, 2024)

A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation. - Emir Konuk; Robert Welch; Filip Christiansen; Elisabeth Epstein; Kevin Smith 001 (MICCAI (10), 2024)

Learning from Offline Foundation Features with Tensor Augmentations. - Emir Konuk; Christos Matsoukas; Moein Sorkhei; Phitchapha Lertsiravarameth; Kevin Smith 001 (NeurIPS, 2024)

Robust and generalizable AI for medical image processing. - Emir Konuk (2024)

VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings. - Leonardo F. S. Scabini; Kallil M. C. Zielinski; Emir Konuk; Ricardo T. Fares; Lucas Correia Ribas; Kevin Smith 001; Odemir M. Bruno (CoRR, 2025)

APLA: A Simple Adaptation Method for Vision Transformers. - Moein Sorkhei; Emir Konuk; Kevin Smith 001; Christos Matsoukas (CoRR, 2025)

Efficient Self-Supervised Adaptation for Medical Image Analysis. - Moein Sorkhei; Emir Konuk; Jingyu Guo; Christos Matsoukas; Kevin Smith 001 (CoRR, 2025)