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Home > International Federation of Classification Societies (IFCS) > 18th International Federation of Classification Societies > Presentations and Authors

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Topic: All Topics Computer Graphics and Visualization Compositional Data Analysis Data Science Education Functional Data Analysis Model-Based Clustering Optimization in Classification and Clustering Pattern Recognition Robust Methods Statistical Learning and Data Mining Spatial Data Analysis Symbolic Data Analysis Text Mining AI for Government: Methods and Data Analysis Big Data Biplots Clustering, Classification and Discrimination Data Fusion Data Mining Data Science Data Streams Deep Learning Knowledge Representation and Discovery Dependence Modelling and Copulas Dimension Reduction Generalized Linear Models Generative Artificial Intelligence, Explainable Artificial Intelligence (XAI) Image Analysis and Computer Vision Information-theoretic Statistical Modelling and Model Selection Machine Learning Mathematical Foundations of Data Science Missing Data Handling Modelling High-Dimensional and Complex Data Multiview Learning Natural Language Processing Social Network Analysis Statistical and Econometric Methods Time Series Analysis Web Mining |*|Advances in supervised classification |*|Classification Methods for Large Datasets (Organized  by Aurea Grané) |*|Advances in unsupervised classification |*|Artificial Intelligence in Government |*|Clustering, Classification and Discrimination (Organized  by Aurea Grané) |*|Compositional Data Analysis |*|Computer Graphics and Visualization |*|Data Science Education |*|Data Science in Economics, Finance and Management (Organized by K. Jajuga) |*|Data Science in Social and Political Research |*|Functional Data Analysis (Organized by Prof. Rosanna Verde) |*|Dimensionality Reduction and Clustering (Organized by Prof. Maurizio Vichi) |*|Health Data Science |*|Meta-Learning |*|Model-Based Clustering |*|Modeling Multivariate Data (Organized by Prof. Anuradha Roy) |*|Multidimensional data visualization (Organized by Johané Nienkemper & Sugnet Lubbe) |*|Network Analysis & Blockmodeling |*|New developments in cluster number estimation |*|Optimization in Classification and Clustering |*|Pattern Recognition |*|Robust Methods |*|Statistical Learning and Data Mining |*|Spatio-Temporal Data Analysis |*|Symbolic Data Analysis (Organized by Prof. Rosanna Verde) |*|Text-Mining and Natural Language Processing

 

Model-Based Clustering

A multivariate functional data clustering method using parsimonious cluster weighted models
Cristina Adela Anton

Text Mining

Combining Topic Modeling and Word Embedding to Predict Match Outcomes in Association Football
Sourav Adhikari

AI for Government: Methods and Data Analysis

Unsupervised Detection of Anomaly in Public Procurement Processes
Jose Pablo Arroyo-Castro, Shu Wei Chou-Chen

Clustering, Classification and Discrimination

Randomly perturbed random forests
Laura Anderlucci, Angela Montanari

Machine Learning

Predicting soil bacterial and fungal communities at different taxonomic levels using machine learning
Vladimir Makarenkov, Zahia Aouabed, Mohamed Achraf Bouaoune, Mohamed Hijri

|*|Pattern Recognition

Pattern Recognition for Mexican Household Power Demand Time Series
José Asse Amiga

|*|Symbolic Data Analysis (Organized by Prof. Rosanna Verde)

Principal Components Analysis of Histogram-valued Data: Set Theory Approach
Jorge Arce, Oldemar Rodriguez Rojas