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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

Finite Mixture Models for an underlying Beta distribution with an application to COVID-19 data
Jang Schiltz, Cédric Noel

Clustering, Classification and Discrimination

Weighted Consensus Clustering for Unbiased Feature Importance in Random Forests
Ndèye NIANG

P-value Adjusted Selected Tree Ensemble
Joshua Pooley, Berthold Lausen, Osama Mahmoud, Henrik Nordmark, Ivan Schuch

Image Analysis and Computer Vision

Integration of Deep Learning and Marketing Research for Brand Confusion Prediction and Visual ad Analysis
Atsuho Nakayama

Machine Learning

Machine learning-driven COVID-19 early triage and large-scale testing strategies based on the 2021 Costa Rican Actualidades survey
Carlos Pasquier, Maikol Solís, Vivian Vilchez, Santiago Núñez-Corrales

Time Series Analysis

Modelling clusters in network time series with an application to presidential elections in the USA
Guy Nason, Daniel Salnikov, Mario Cortina-Borja

|*|Clustering, Classification and Discrimination (Organized  by Aurea Grané)

Fuzzy Clustering of Attributed Networks
lazhar labiod, Mohamed Nadif

|*|Data Science in Economics, Finance and Management (Organized by K. Jajuga)

On the Vapnik-Chervonenkis Dimension and Learnability of the Hurwicz Decision Criterion
Manuel Nunez, Mark Schneider