72 citations · 75 across the 6 of their papers we have counts for
9 papers · 1 filter
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…
A Comparative Assessment of Multi-view fusion learning for Crop Classification
Francisco Mena, Diego Arenas, Marlon Nuske +1
With a rapidly increasing amount and diversity of remote sensing (RS) data sources, there is a strong need for multi-view learning modeling. This is a complex task when considering…
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Christian Jilek, Markus Schröder, Heiko Maus +2
This paper presents a retrospective overview of a decade of research in our department towards self-organizing personal knowledge assistants in evolving corporate memories. Our res…
DartsReNet: Exploring new RNN cells in ReNet architectures
Brian Moser, Federico Raue, Jörn Hees +1
We present new Recurrent Neural Network (RNN) cells for image classification using a Neural Architecture Search (NAS) approach called DARTS. We are interested in the ReNet architec…