Call for papers
WSOM+ invites contributions related to the theoretical and methodological aspects of Unsupervised learning, Self-Organizing Maps, Learning Vector Quantization, Clustering, Data Visualization and closely related topics, including but not limited to:
- Data Visualization
- Statistical Data Analysis andMachine Learning
- Interpretable Models
- Confidence & Transfer Learning
- Applications in Medicine/Biology
- Engineering Applications
- Applications in Finance/Economics
- Hardware and Neuromorphic Hardware for LVQ & SOM
We also call for and encourage scientific and application-oriented papers that demonstrate the use of the aforementioned methods and models in different areas including but not limited to:
- Data mining, including stream mining and process mining
- Pattern recognition
- Knowledge management
- Business intelligence and financial analysis
- Anomaly detection and outlier analysis
- Industrial applications
- Scientific applications
- Bioinformatics, bio-statistics and applications in bio-medicine and healthcare
- Telecommunications
- Transport optimization
- Cognitive modeling
- Language modeling
- Robotics and intelligent systems
- Image processing and vision
- Speech processing and text and document analysis
Publication
The WSOM+ 2024 proceedings will be published as a book in Springer’s Lecture Notes in Networks and Systems