Drug Target Review

Beyond serendipity: rational design and AI’s expansion of the undruggable target landscape

Discover how researchers are overcoming the limitations of the undruggable target in drug discovery using novel approaches ...
Scientific Research Publishing

A Hybrid CNN-LSTM Variational Autoencoder for Treatment Response Prediction in Synthetic Psychiatric Data ()

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...
Forbes

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. In the current wave of generative AI innovation, industries that live in documents and text ...
GitHub

SVG-T2I: Scaling up Text-to-Image Latent Diffusion Model

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...
GitHub

A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder (AVE)

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...
IEEE

GOIO: Generative Oversampling Approach to Class Imbalance and Overlap of Tabular Data

Abstract: Class imbalance, which is common in real-world classification tasks, often leads to biased models favoring majority classes. Data oversampling is a widely used strategy to address this issue ...
IEEE

RTAEI: Robust Tabular Autoencoder Interpolator to Gastric Cancer Innovative Detection for Deep Learning Empowered Healthcare Electronics

Abstract: The recent integration of Artificial Intelligence (AI) into smart consumer electronics and sustainable healthcare has shown promising outcomes. However, challenges persist in utilizing ...
Scientific Research Publishing

Akrami, H., Aydore, S., Leahy, R.M. and Joshi, A.A. (2020) Robust Variational Autoencoder for Tabular Data with Beta Divergence.

ABSTRACT: Artificial intelligence (AI) operates by using algorithms and statistical models based on data, enabling computers to imitate a real form of intelligence. The structure of the data available ...