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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

Gaussian mixture models for changepoint detection
Sanjeena Subedi, Utkarsh Dang

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

Drift-switching local level models for time series segmentation
Allou SAME

A Clustering Procedure for Three-Way RNA Sequencing Data Using Data Transformations and Matrix-Variate Gaussian Mixture Models
Theresa Scharl

Optimization in Classification and Clustering

Machine Learning-Based Classification and Prediction to Assess Corrosion Degradation in Mining Pipelines
Kalidou Moussa Sow, Nadia GHAZALLI

Spatial Data Analysis

Spatial Agent-Based Model for Aedes Aegypti mosquitoes in the urban area in Arica (Chile)
Diana Marcela Martinez, Kerlyns Martínez, Daira Velandia, Débora Buendía, Scarlett Lever, María Elízabeth Guerra, Ximena Collao, Rodrigo Salas

Clustering, Classification and Discrimination

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

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

Modelling High-Dimensional and Complex Data

UMAP projections and the survival of empty space: A geometric approach to high-dimensional data
Maikol Solís, Alberto Hernández

Time Series Analysis

Predicting Air Pollution in Beijing, China Using Chemical, and Climate Variables
Joshua Isaac Cervantes Artavia, Moisés De Jesús Monge Cordonero, Daniel Josué Sabater Guzmán

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

|*|Advances in supervised classification

A comparison of multivariate mixed models and generalized estimation equations models for discrimination in multivariate longitudinal data
Tolulope Sajobi

A Gene Selection Method for Classification with Three Classes Using Proportional Overlapping Scores
Anusa Suwanwong, Andrew Harrison, Osama Mahmoud

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

A new distance for categorical data with moderate association
Aurea Grané, Silvia Salini, Gabriele Infante

An efficient multicore CPU implementation of the DatabionicSwarm
Quirin Stier

|*|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

|*|Modeling Multivariate Data (Organized by Prof. Anuradha Roy)

A Comparison of Multivariate Mixed Models and Generalized Estimation Equations Models for Discrimination in Multivariate Longitudinal Data
Tolulope Sajobi

Accounting for the Shutdown Due to the COVID Pandemic in an Analysis of Multivariate Data from a School and Medical Practice-Based Intervention: the West Philadelphia Asthma Care Implementation Study
Justine Shults

|*|Multidimensional data visualization (Organized by Johané Nienkemper & Sugnet Lubbe)

Model Selection for Linear Regression Under Data Aggregation
Pieter C. Schoonees