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07/20/2023
EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation
Active learning algorithms have become increasingly popular for training...
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07/05/2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency
Ensuring the trustworthiness and interpretability of machine learning mo...
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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...
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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 ...
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06/06/2023
Putting Humans in the Image Captioning Loop
Image Captioning (IC) models can highly benefit from human feedback in t...
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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...
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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...
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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...
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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...
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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...
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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...
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04/19/2022
A survey on improving NLP models with human explanations
Training a model with access to human explanations can improve data effi...
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02/28/2022
Interactive Machine Learning for Image Captioning
We propose an approach for interactive learning for an image captioning ...
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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...
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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...
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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...
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04/04/2021
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection
Existing skin attributes detection methods usually initialize with a pre...
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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...
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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...
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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...
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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 ...
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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...
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08/21/2019
A CNN toolbox for skin cancer classification
We describe a software toolbox for the configuration of deep neural netw...
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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...
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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...
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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 ...
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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,...
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09/06/2017
Interakt---A Multimodal Multisensory Interactive Cognitive Assessment Tool
Cognitive assistance may be valuable in applications for doctors and the...
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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...
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11/17/2013