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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

 

Data Science Education

Unravelling the Skill Sets of Data Scientists: A Text Mining Analysis of Dutch University Master Programs in Data Science and Artificial Intelligence
zsuzsa bakk

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

Machine Learning

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

|*|Advances in supervised classification

Statistics in the Knowledge Economy
David Banks

Scalable conic optimization for feature selection in linear SVMs with cardinality control
Immanuel M. Bomze, Federico D'Onofrio, Bo Peng, Laura Palagi

|*|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

|*|Data Science in Social and Political Research

Candidates, Parties, Issues and the Political Marketing Strategies: A Comparative Analysis on political competition in Greece
VASILIKI BOURANTA, GEORGIA PANAGIOTIDOU, THEODORE CHADJIPADELIS

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

Distributional-based Partitioning with Copulas
Wenhao Pan, Lynne Billard

Network analysis approach to the analysis of event sequences
Vladimir Batagelj, Anuška Ferligoj

A Robust approach of the Clusterwise Regression method for distributional data
Rosanna Verde, Gianmarco Borrata, Antonio Balzanella, Francisco de A. T. de Carvalho

Quality Measures for Clusterwise Regression
Paula Brito

A Robust approach of the Clusterwise Regression method for distributional data
Rosanna Verde, Gianmarco Borrata, Antonio Balzanella, Francisco de A. T. de Carvalho