Pinned Repositories
anomaly-XAI
auswahl
Collection of Feature Selection Methods for Near-Infrared Spectroscopy
background-bias-in-dml
Code for our ICMV 2022 paper "On Background Bias in Deep Metric Learning", where we show that DML models are prone to background bias with our proposed test setting. This can severely damage item retrieval performance. Replacing backgrounds during training can alleviate those issues, which we analyze qualitatively and quantitatively.
DFS4NIRS
Differentiable Feature Selection for Nearinfrared Spectroscopy
explainable-ERP-fraud-detection
This repository contains the code for the paper 'Towards Explainable Occupational Fraud Detection'. This work investigates the performance and interpretability of current machine learning models on data from enterprise resource planning systems.
explainable-NIDS-SHAP
Global-Ecosystem-Modeling
InDiReCT
Code for our WACV 2023 paper "InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images". We propose a simple method that adapts the embedding space of images to a user-defined similarity notion by only using text prompts. This way, no training images are used, making this method a "zero-shot" approach.
SuperGLEBer
German Language Understanding Evaluation Benchmark @NAACL24
TaylorPDENet
Chair of Computer Science X - Data Science's Repositories
LSX-UniWue/auswahl
Collection of Feature Selection Methods for Near-Infrared Spectroscopy
LSX-UniWue/InDiReCT
Code for our WACV 2023 paper "InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images". We propose a simple method that adapts the embedding space of images to a user-defined similarity notion by only using text prompts. This way, no training images are used, making this method a "zero-shot" approach.
LSX-UniWue/SuperGLEBer
German Language Understanding Evaluation Benchmark @NAACL24
LSX-UniWue/anomaly-XAI
LSX-UniWue/background-bias-in-dml
Code for our ICMV 2022 paper "On Background Bias in Deep Metric Learning", where we show that DML models are prone to background bias with our proposed test setting. This can severely damage item retrieval performance. Replacing backgrounds during training can alleviate those issues, which we analyze qualitatively and quantitatively.
LSX-UniWue/bibsonomy-zotero-sync
LSX-UniWue/CapsKG
Continual automated knowledge graph completion with capsule networks
LSX-UniWue/DFS4NIRS
Differentiable Feature Selection for Nearinfrared Spectroscopy
LSX-UniWue/explainable-NIDS-SHAP
LSX-UniWue/Global-Ecosystem-Modeling
LSX-UniWue/one-graph-to-rule-them-all
Repository for our CHR 22 Paper "One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien’s Legendarium"
LSX-UniWue/TaylorPDENet
LSX-UniWue/non-item-transformers
LSX-UniWue/CompTrails
LSX-UniWue/DeepTrails
This is the code repository for the publication "Higher-Order DeepTrails: Unified Approach to *Trails".
LSX-UniWue/dynabench
LSX-UniWue/ERP-fraud-mas
LSX-UniWue/grind
Code for our paper "GrINd: Grid Interpolation Network for Scattered Observations"
LSX-UniWue/HydrAS
This repository is an overview of research activities in the HydrAS project.
LSX-UniWue/HypTrails-Framework
A HypTrails Framework, which alles to automatically generate hypothesis and evaluate them given an attributed multigraph.
LSX-UniWue/neural-highschool-math
LSX-UniWue/OpenLUR
Off-the-shelf land use regression using openly available data
LSX-UniWue/pi-speech-detection
Code and tutorials for the detection of human speech in beehive audio data
LSX-UniWue/Semeval-2024-Task-4
LSX-UniWue/SuperGLEBer-site
LSX-UniWue/SuSL4TS
LSX-UniWue/tab-anomaly-explainers
LSX-UniWue/TaylorNet
LSX-UniWue/XAI-diffusion
LSX-UniWue/XAI-fraud-mas