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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

 

Functional Data Analysis

A quantile extension to functional PCA
Alvaro Mendez Civieta

Optimization in Classification and Clustering

Towards Topologically Diverse Probabilistic Planning Benchmarks: Synthetic Domain Generation for Markov Decision Processes
Jaël Champagne Gareau, Éric Beaudry, Vladimir Makarenkov

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

A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Efthymios Costa, Ioanna Papatsouma, Angelos Markos

Clustering for High-Dimensional, Nested Data with Categorical Outcomes Using a Generalized Linear Mixed Effects Model with Simultaneous Variable Selection
Samantha Manning

Randomly perturbed random forests
Laura Anderlucci, Angela Montanari

Multimodal Emotion Recognition: A comparative study
Ayemn Gondech, Hélène Tran, Issam Falih, Xavier Goblet, Engelbert Mephu Nguifo

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

Machine Learning

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

Statistical and Econometric Methods

Optimization Strategies for Bioprocess Parameterization: A Comparative Evaluation
Matthias Medl

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

|*|Advances in supervised classification

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

|*|Classification Methods for Large Datasets (Organized  by Aurea Grané)

Robust distance-based generalized linear models: A new tool for classification
Eva Boj, Aurea Grane, Agustín Mayo-Íscar

Using polynomials to explain classification outputs from neural networks
Pablo Morala

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

Unsupervised methods for the creation of orthonormal bases in compositional data: R-mode clustering
Jose Antonio Martin Fernandez

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

Robust estimation of the range-based GARCH model: Forecasting volatility, value at risk and expected shortfall of cryptocurrencies
Marta Małecka

A Spectral Approach to Evaluating VaR Forecasts: Stock Market Evidence from the Subprime Mortgage Crisis, through COVID-19, to the Russo-Ukrainian War
Marta Malecka, Radosław Pietrzyk

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

Multiblock Methods for Learning Structural Equation Models: An Overview
Alba Martinez-Ruiz

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

Nearest neighbors for mixed type data: an inter-dependency based approach
Alfonso Iodice D'Enza, Carlo Cavicchia, Michel van de Velden, Angelos Markos

|*|Statistical Learning and Data Mining

Bridge the gap between Gradual Patterns and Statistical Correlations
Engelbert MEPHU NGUIFO

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

Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe
Raffaele Mattera, Philip Hans Franses

Hypothesis Testing of Mean Interval for p-dimensional Interval-valued Data
Anuradha Roy, Fernando Montes