Daniel Sonntag

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Volker Tresp
101 publications
Nhat Ho
73 publications
Bodo Rosenhahn
68 publications
Pengtao Xie
59 publications
Shadi Albarqouni
51 publications
Mathias Niepert
51 publications
Yi Huang
43 publications
Ngan Le
40 publications
Paul Swoboda
27 publications
Binh T. Nguyen
26 publications
András Lőrincz
18 publications

research

∙ 07/20/2023

EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation

Active learning algorithms have become increasingly popular for training...

0 Md Abdul Kadir, et al. ∙

research

∙ 07/05/2023

Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency

Ensuring the trustworthiness and interpretability of machine learning mo...

0 Md Abdul Kadir, et al. ∙

research

∙ 06/20/2023

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching

Obtaining large pre-trained models that can be fine-tuned to new tasks w...

8 Duy M. H. Nguyen, et al. ∙

research

∙ 06/06/2023

Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory

Interactive machine learning (IML) is a beneficial learning paradigm in ...

0 Aliki Anagnostopoulou, et al. ∙

research

∙ 06/06/2023

Putting Humans in the Image Captioning Loop

Image Captioning (IC) models can highly benefit from human feedback in t...

0 Aliki Anagnostopoulou, et al. ∙

research

∙ 05/24/2023

A Virtual Reality Tool for Representing, Visualizing and Updating Deep Learning Models

Deep learning is ubiquitous, but its lack of transparency limits its imp...

0 Hannes Kath, et al. ∙

research

∙ 05/24/2023

A Deep Generative Model for Interactive Data Annotation through Direct Manipulation in Latent Space

The impact of machine learning (ML) in many fields of application is con...

0 Hannes Kath, et al. ∙

research

∙ 04/03/2023

Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust

In this paper, we propose a CNN fine-tuning method which enables users t...

0 Md Abdul Kadir, et al. ∙

research

∙ 01/24/2023

Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop

This paper presents our project proposal for extracting biomedical infor...

0 Siting Liang, et al. ∙

research

∙ 12/30/2022

DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading

Diabetic Retinopathy (DR) is a leading cause of vision loss in the world...

0 Hasan Md Tusfiqur, et al. ∙

research

∙ 12/04/2022

Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

Collecting large-scale medical datasets with fully annotated samples for...

10 Duy M. H. Nguyen, et al. ∙

research

∙ 04/19/2022

A survey on improving NLP models with human explanations

Training a model with access to human explanations can improve data effi...

0 Mareike Hartmann, et al. ∙

research

∙ 02/28/2022

Interactive Machine Learning for Image Captioning

We propose an approach for interactive learning for an image captioning ...

0 Mareike Hartmann, et al. ∙

research

∙ 11/23/2021

LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking

Multi-Camera Multi-Object Tracking is currently drawing attention in the...

34 Duy M. H. Nguyen, et al. ∙

research

∙ 07/20/2021

Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction

This paper investigates the problem of domain adaptation for diabetic re...

0 Duy M. H. Nguyen, et al. ∙

research

∙ 05/20/2021

A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report

We describe our work on information extraction in medical documents writ...

0 Hans-Jürgen Profitlich, et al. ∙

research

∙ 04/04/2021

TATL: Task Agnostic Transfer Learning for Skin Attributes Detection

Existing skin attributes detection methods usually initialize with a pre...

0 Duy M. H. Nguyen, et al. ∙

research

∙ 02/18/2021

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification

Our goal is to bridge human and machine intelligence in melanoma detecti...

16 Ellák Somfai, et al. ∙

research

∙ 09/23/2020

An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images

Until now, Coronavirus SARS-CoV-2 has caused more than 850,000 deaths an...

0 Duy M. H. Nguyen, et al. ∙

research

∙ 05/19/2020

The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report

A shortage of dermatologists causes long wait times for patients who see...

4 Daniel Sonntag, et al. ∙

research

∙ 11/26/2019

Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models

Scoring systems are linear classifcation models that only require users ...

0 Hans-Jürgen Profitlich, et al. ∙

research

∙ 08/27/2019

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

We implement a method for re-ranking top-10 results of a state-of-the-ar...

0 Michael Barz, et al. ∙

research

∙ 08/21/2019

A CNN toolbox for skin cancer classification

We describe a software toolbox for the configuration of deep neural netw...

0 Fabrizio Nunnari, et al. ∙

research

∙ 10/30/2018

An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation

This article presents our steps to integrate complex and partly unstruct...

0 Daniel Sonntag, et al. ∙

research

∙ 10/11/2018

Interactive Cognitive Assessment Tools: A Case Study on Digital Pens for the Clinical Assessment of Dementia

Interactive cognitive assessment tools may be valuable for doctors and t...

0 Daniel Sonntag, et al. ∙

research

∙ 10/01/2018

A categorisation and implementation of digital pen features for behaviour characterisation

In this paper we provide a categorisation and implementation of digital ...

0 Alexander Prange, et al. ∙

research

∙ 03/13/2018

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

This paper provides an overview of prominent deep learning toolkits and,...

0 Jan Zacharias, et al. ∙

research

∙ 09/06/2017

Interakt---A Multimodal Multisensory Interactive Cognitive Assessment Tool

Cognitive assistance may be valuable in applications for doctors and the...

0 Daniel Sonntag, et al. ∙

research

∙ 09/05/2017

Fine-tuning deep CNN models on specific MS COCO categories

Fine-tuning of a deep convolutional neural network (CNN) is often desire...

0 Daniel Sonntag, et al. ∙

research

∙ 11/17/2013

Towards a New Science of a Clinical Data Intelligence

In this paper we define Clinical Data Intelligence as the analysis of da...

0 Volker Tresp, et al. ∙

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