119 citations · 845 across the 65 of their papers we have counts for
6 papers · 1 filter
Class Conditional Time Series Generation with Structured Noise Space GAN
Hamidreza Gholamrezaei, Alireza Koochali, Andreas Dengel +1
This paper introduces Structured Noise Space GAN (SNS-GAN), a novel approach in the field of generative modeling specifically tailored for class-conditional generation in both imag…
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification
Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed
There are not many large medical image datasets available. For these datasets, too small deep learning models can't learn useful features, so they don't work well due to underfitti…
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content
Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel +1
An ever-increasing amount of social media content requires advanced AI-based computer programs capable of extracting useful information. Specifically, the extraction of health-rela…
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction
Saifullah Saifullah, Stefan Agne, Andreas Dengel +1
In this paper, we introduce strategies for developing private Key Information Extraction (KIE) systems by leveraging large pretrained document foundation models in conjunction with…
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification
Dominique Mercier, Andreas Dengel, Sheraz Ahmed
Deep learning has proven to be successful in various domains and for different tasks. However, when it comes to private data several restrictions are making it difficult to use dee…
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction
Amin E. Bakhshipour, Alireza Koochali, Ulrich Dittmer +3
Despite various breakthroughs in machine learning and data analysis techniques for improving smart operation and management of urban water infrastructures, some key limitations obs…