Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Date: Wednesday, 10/July/2024 | |
9:00am - 10:00am |
Welcome and Coffee Location: 39-001 |
10:00am - 10:15am |
Opening Location: 39-001 |
10:15am - 11:55am |
Prototype-Based Supervised & Unsupervised Learning Location: 39-001 Chair: Alexander R.T. Gepperth New Cloth unto an Old Garment: SOM for Regeneration Learning Unsupervised Learning-based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time Hyperbox Learning Vector Quantization Based on Min-Max-Neurons Sparse Clustering with K-means - Which Penalties and for Which Data? |
12:00pm - 1:00pm |
Lunch Location: 39-001 |
1:00pm - 2:00pm |
Invited speaker Location: 39-001 Chair: Michael Biehl Is t-SNE Becoming the New Self-organizing Map? Similarities and Differences |
2:00pm - 2:30pm |
Coffeebreak Location: 39-001 |
2:30pm - 3:45pm |
Visualization Location: 39-001 Chair: Verleysen Michel Pursuing the Perfect Projection: A Projection Pursuit Framework for Deep Learning Generalizing Self-Organizing Maps: Large-Scale Training of Gaussian Mixture Models and Applications in Data Science A Self-Organizing UMAP For Clustering |
4:00pm - 5:15pm |
Bioinformatics Location: 39-001 Chair: Guilherme A. Barreto Knowledge Integration in Vector Quantization Models and Corresponding Structured Covariance Estimation Exploring Data Distributions In Machine Learning Models With SOMs Interpretable Machine Learning In Endocrinology: A Diagnostic Tool In Primary Aldosteronism |
Date: Thursday, 11/July/2024 | ||
9:00am - 11:00am |
MIWOCI Workshop: Poster Spotlight and Poster Session Location: 39-001 Chair: Tina Geweniger IRMA on Steroids: Improved Robustness and Interpretability of Feature Relevances Rediscovering Chaos? Analysis of GPU Computing Effects in Graph-coupled NeuralODEs Coping with Drift in Hyperspectral Sensor Data A Measure Theoretic Approach to Concept Drift in Infinite Data Streams Probabilistic Learning Vector Quantization Based on Cross-Entropy-Loss and Integration of Class Relation Knowledge Online Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions GMLVQ for fMRI Analysis in the Context of Movement Disorders Towards Explainable Rejects for Prototype-Based Classifiers. Phase Transitions of Soft Committee Machines with Arbitrary Activation Function Runtime-Processing for Microgravity Investigations Directly Attached to the Experiment |
Poster Spotlights and Poster Session Location: 39-001 Chair: Tina Geweniger Probabilistic Models with Invariance Optimizing YOLOv5 for Green AI: A Study on Model Pruning and Lightweight Networks Process Phase Monitoring in Industrial Manufacturing Processes with a Hybrid Unsupervised Learning Strategy Knowledge Management in SMEs: Applying Link Prediction for Assisted Decision Making |
11:00am - 11:45am |
Explainable and Interpretable Models I Location: 39-001 Chair: Sascha Saralajew Precision and Recall Reject Curves K Minimum Enclosing Balls For Outlier Detection |
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11:45am - 12:00pm |
Group Photo |
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12:00pm - 1:00pm |
Lunch Location: 39-001 |
Steering Commitee |
1:00pm - 2:00pm |
Invited speaker II Location: 39-001 Chair: Frank-Michael Schleif The Beauty of Prototype Based Learning |
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2:15pm - 3:15pm |
Statistical Methods and Learning Location: 39-001 Chair: Lydia Fischer Setting Vector Quantizer Resolution via Density Estimation Theory Practical Approaches to Approximate Dominant Eigenvalues in Large Matrices Enhancing LDA Method by the Use of Feature Maximization |
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3:30pm - 10:00pm |
Social Dinner at Castle Rochlitz |
Date: Friday, 12/July/2024 | |
9:00am - 10:00am |
Invited speaker III Location: 39-001 Chair: Sven Hellbach Explaining Neural Networks - Deep and Shallow |
10:00am - 10:30am |
Coffeebreak Location: 39-001 |
10:30am - 11:15am |
Explainable and Interpretable Models II Location: 39-001 Chair: Dietlind Zühlke FairGLVQ: Fairness in Partition-Based Classification About Interpretable Learning Rules For Vector Quantizers - A Methodological Approach |
11:15am - 11:45am |
Closing Location: 39-001 |