Call for Papers – ICSADL 2026, Vatican City

• Deep Learning
• Design of Experiments
• Desirabilities
• Deviation and Novelty Detection
• Feature Grouping, Discretization, Selection and Transformation
• Feature Learning
• Frequent Pattern Mining
• Goodness Measures and Evaluation
• Graph Mining
• High-content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
• Inductive Learning Including Decision Tree and Rule Induction Learning
• Knowledge Extraction from Text, Video, Signals and Images
• Learning and Adaptive Control
• Learning for Handwriting Recognition
• Learning in Image Pre-processing and Segmentation
• Learning in Process Automation
• Learning of Action Patterns
• Learning of Appropriate Behaviour
• Learning of Internal Representations and Models
• Learning of Ontologies
• Learning of Semantic Inferencing Rules
• Learning of Visual Ontologies
• Learning Robots
• Learning/Adaption of Recognition and Perception
• Mining Financial or Stockmarket Data
• Mining Gene Data Bases and Biological Data Bases
• Mining Images and Texture
• Mining Images in Computer Vision
• Mining Images, Temporal-spatial Data, Images from Remote Sensing
• Mining Motion from Sequence
• Mining Structural Representations Such as Log Files, Text Documents and Html Documents
• Mining Text Documents
• Network Analysis and Intrusion Detection
• Neural Methods
• Nonlinear Function Learning and Neural Net Based Learning
• Organisational Learning and Evolutional Learning
• Probabilistic Information Retrieval
• Real-time Event Learning and Detection
• Retrieval Methods
• Rule Induction and Grammars
• Sampling Methods
• Selection with Small Samples
• Semi-Supervised Learning
• Similarity Measures and Learning of Similarity
• Speech Analysis
• Statistical and Conceptual Clustering Methods
• Statistical and Evolutionary Learning
• Statistical Learning
• Statistical Learning and Neural Net Based Learning
• Strategy of Experimentation
• Structured Learning
• Subspace Methods
• Support Vector Machines
• Supervised Learning
• Symbolic Learning and Neural Networks in Document Processing
• Telecommunication
• Time Series and Sequential Pattern Mining
• Unsupervised Modeling
• Video Mining
• Visualization and Data Mining

Papers must be original and not published or under review elsewhere. Author guidelines · Submit your paper