43 citations · 113 across the 10 of their papers we have counts for
12 papers
On Task Scope and Information Retention in Source Coding
Alireza Furutanpey, Kerstin Bunte
We argue that dividing codec design into Coding for Machines (CfM) and Coding for Humans (CfH) is a misleading distinction for deciding what information a codec may discard. Receiv…
Low-dimensional embeddings of high-dimensional data
Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher +18
Large collections of high-dimensional data have become nearly ubiquitous across many academic fields and application domains, ranging from biology to the humanities. Since working…
1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments
Marco Canducci, Petra Awad, Abolfazl Taghribi +7
Filaments are ubiquitous in astronomical data sets. Be it in particle simulations or observations, filaments are always tracers of a perturbation in the equilibrium of the studied…
MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble
Frank N. Mol, Luuk van der Hoek, Baoqiang Ma +6
The superior soft tissue differentiation provided by MRI may enable more accurate tumor segmentation compared to CT and PET, potentially enhancing adaptive radiotherapy treatment p…
Range-Only Bearing Estimator for Localization and Mapping
Matteo Marcantoni, Bayu Jayawardhana, Kerstin Bunte
Navigation and exploration within unknown environments are typical examples in which simultaneous localization and mapping (SLAM) algorithms are applied. When mobile agents deploy…
Swarm Intelligence-based Extraction and Manifold Crawling Along the Large-Scale Structure
Petra Awad, Reynier Peletier, Marco Canducci +6
The distribution of galaxies and clusters of galaxies on the mega-parsec scale of the Universe follows an intricate pattern now famously known as the Large-Scale Structure or the C…
An Industry 4.0 example: real-time quality control for steel-based mass production using Machine Learning on non-invasive sensor data
Michiel Straat, Kevin Koster, Nick Goet +1
Insufficient steel quality in mass production can cause extremely costly damage to tooling, production downtimes and low quality products. Automatic, fast and cheap strategies to e…
Secure Formation Control via Edge Computing Enabled by Fully Homomorphic Encryption and Mixed Uniform-Logarithmic Quantization
Matteo Marcantoni, Bayu Jayawardhana, Mariano Perez Chaher +1
Recent developments in communication technologies, such as 5G, together with innovative computing paradigms, such as edge computing, provide further possibilities for the implement…
Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques
Mohammad Mohammadi, Jarvin Mutatiina, Teymoor Saifollahi +1
Compact stellar systems such as Ultra-compact dwarfs (UCDs) and Globular Clusters (GCs) around galaxies are known to be the tracers of the merger events that have been forming thes…
LAAT: Locally Aligned Ant Technique for discovering multiple faint low dimensional structures of varying density
Abolfazl Taghribi, Kerstin Bunte, Rory Smith +4
Dimensionality reduction and clustering are often used as preliminary steps for many complex machine learning tasks. The presence of noise and outliers can deteriorate the performa…
Visualisation and knowledge discovery from interpretable models
Sreejita Ghosh, Peter Tino, Kerstin Bunte
Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness…
Sparse group factor analysis for biclustering of multiple data sources
Kerstin Bunte, Eemeli Leppäaho, Inka Saarinen +1
Motivation: Modelling methods that find structure in data are necessary with the current large volumes of genomic data, and there have been various efforts to find subsets of genes…