activity
20232025
most citedNijiGAN: Transform What You See into Anime with Contrastive Semi-Supervised Learning and Neural Ordinary Differential Equations

1 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SD2025

WaveLLDM: Design and Development of a Lightweight Latent Diffusion Model for Speech Enhancement and Restoration

Kevin Putra Santoso, Rizka Wakhidatus Sholikah, Raden Venantius Hari Ginardi

High-quality audio is essential in a wide range of applications, including online communication, virtual assistants, and the multimedia industry. However, degradation caused by noi…

cs.CV20241 cited

NijiGAN: Transform What You See into Anime with Contrastive Semi-Supervised Learning and Neural Ordinary Differential Equations

Kevin Putra Santoso, Anny Yuniarti, Dwiyasa Nakula +5

Generative AI has transformed the animation industry. Several models have been developed for image-to-image translation, particularly focusing on converting real-world images into…

cs.CV20241 cited

Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks

K. P. Santoso, R. V. H. Ginardi, R. A. Sastrowardoyo +1

In the realm of skin lesion image classification, the intricate spatial and semantic features pose significant challenges for conventional Convolutional Neural Network (CNN)-based…

cs.CR2023

Analisis Eksploratif Dan Augmentasi Data NSL-KDD Menggunakan Deep Generative Adversarial Networks Untuk Meningkatkan Performa Algoritma Extreme Gradient Boosting Dalam Klasifikasi Jenis Serangan Siber

K. P. Santoso, F. A. Madany, H. Suryotrisongko

This study proposes the implementation of Deep Generative Adversarial Networks (GANs) for augmenting the NSL-KDD dataset. The primary objective is to enhance the efficacy of eXtrem…