The NLRP3 inflammasome, regulated by TLR4, plays a pivotal role in periodontitis by mediating inflammatory cytokine release and bone loss induced by Porphyromonas gingivalis. Periodontal disease ...

Abstract: In predictive medicine, accurately assessing the risk of heart disease remains quite difficult, particularly when dealing with small and diverse clinical tabular datasets. To address these ...

Recent, rapid advances in deep generative models for protein design have focused on small proteins with lots of data. Such models perform poorly on large proteins with limited natural sequences, for ...

VAE（Variational AutoEncoder）は、2013年の論文「Auto-Encoding Variational Bayes」（変分ベイズ自動エンコーディング）の中で発表されたデータ生成の手法を使ったモデルの名前です。 オランダにあるアムステルダム大学のDiederik P KingmaとMax Wellingは、彼らの手法をAEVB ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

Abstract: Accurate prediction from medical tabular data is crucial for early diagnosis and improved patient outcomes. In this study, we propose NOVA-Tab (Neural Orthogonal Variational Additive Network ...

VQVAEは、オートエンコーダの一種で、特に高解像度の画像を生成するのに適した手法です。 深層学習の種類の中にオートエンコーダがあります オートエンコーダ（自己符号化器, autoencoder）とは、ニューラルネットワークを利用した教師なし機械学習の手法 ...

description [NeurIPS 2025][Self-Supervised Learning][tabular data] This paper proposes TANDEM (Tree-And-Neural Dual Encoder Model), a hybrid autoencoder architecture that jointly trains a neural ...