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Image watermarking for Machine Learning datasets
Image watermarking for Machine Learning datasets: Using SVD based image watermarking techniques to watermark numerical ML datasets
Graph database watermarking using pseudo nodes
Graph database watermarking using pseudo nodes
Analysing a TiEMPO simulation of a DESHIMA 2.0 observation of the dusty starburst galaxy HFLS3
Analysing a TiEMPO simulation of a DESHIMA 2.0 observation of the dusty starburst galaxy HFLS3
Determining the speed of sound in curved bones
Determining the speed of sound in curved bones
How do different explanation presentation strategies of feature and data attribution techniques affect non-expert understanding?
How do different explanation presentation strategies of feature and data attribution techniques affect non-expert understanding?: Explaining Deep Learning models for Fact-Checking
Finding Shortcuts to a black-box model using Frequent Sequence Mining
Finding Shortcuts to a black-box model using Frequent Sequence Mining: Explaining Deep Learning models for Fact-Checking
Evaluating Data Distribution Based Concept Drift Detectors
Evaluating Data Distribution Based Concept Drift Detectors
Evaluating Feature Attribution Methods: an Usecase on a Neural Fact-checking Model
Evaluating Feature Attribution Methods: an Usecase on a Neural Fact-checking Model
A Comparison of Instance Attribution Methods
A Comparison of Instance Attribution Methods: Comparing Instance Attribution Methods to Baseline k-Nearest Neighbors Method
Analysis of Mixed Concept Drift Detectors in Deployed Machine Learning Models
Analysis of Mixed Concept Drift Detectors in Deployed Machine Learning Models
Algal Bloom Forecasting using Remote Sensing with Spatially and Temporally Sparse Satellite Data
Algal Bloom Forecasting using Remote Sensing with Spatially and Temporally Sparse Satellite Data
Algal Bloom Forecasting using Remote Sensing
Algal Bloom Forecasting using Remote Sensing: Discovering the most predictive data modalities for Algal Bloom Forecasting
Machine Learning-based Techniques for Secure and Efficient IoT Data Management
Machine Learning-based Techniques for Secure and Efficient IoT Data Management
Spatio-temporal embedding in deep learning for algal bloom forecasting
Spatio-temporal embedding in deep learning for algal bloom forecasting
Detecting Concept Drift in Deployed Machine Learning Models
Detecting Concept Drift in Deployed Machine Learning Models: How well do Margin Density-based concept drift detectors identify concept drift in case of synthetic/real-world data?
Detect the watermark through the training model
Detect the watermark through the training model: A watermarking scheme to protect numerical classification datasets
Optimisation of subwoofer placement using a finite-difference time-domain acoustic simulation
Optimisation of subwoofer placement using a finite-difference time-domain acoustic simulation
How Well do Clustering Similarities-Based Concept Drift Detectors Identify Drift in case of Synthetic/Real-World Data?
How Well do Clustering Similarities-Based Concept Drift Detectors Identify Drift in case of Synthetic/Real-World Data?
Privacy Protection and Performance Enhancement in IoT Applications using Blockchain and Machine Learning Techniques
Privacy Protection and Performance Enhancement in IoT Applications using Blockchain and Machine Learning Techniques
Algal Bloom Forecasting in a Classification and Regression Setting
Algal Bloom Forecasting in a Classification and Regression Setting: Implementing a UNet Architecture to evaluate the differences between both settings
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