Deep Learning Approach for High Recall Pneumonia Classification with Swin Transformer and L2 Regularization. - Krisna Pinasthika; Erika Yussi Sofyanda; Silfiatul Ulumiyah; Lailil Muflikhah (SIET, 2023)

Investigating ResNet Variants in U-Net to Obtain High-Quality Depth Maps in Indoor Scenes. - Krisna Pinasthika; Fitri Utaminingrum (SIET, 2023)

Deciphering pixel insights: A deep dive into deep learning strategies for enhanced indoor depth estimation. - Krisna Pinasthika; Fitri Utaminingrum; Chih-Yang Lin; Chikamune Wada; Timothy K. Shih (Int. J. Inf. Manag. Data Insights, 2024)

SparseSwin: Swin transformer with sparse transformer block. - Krisna Pinasthika; Blessius Sheldo Putra Laksono; Riyandi Banovbi Putera Irsal; Syifa Hukma Shabiyya; Novanto Yudistira (Neurocomputing, 2024)