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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

Applying classification methods for multivariate functional data
Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński

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

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

Dimension Reduction

Optimal penalized sparse PCA
Rosember Isidoro Guerra Urzola

Generative Artificial Intelligence, Explainable Artificial Intelligence (XAI)

Innovating the banking with machine learning: Credit Score for MSMEs
Tatiana Quirós Muñoz, Álvaro Guevara Villalobos

Machine Learning

Improving Employee Attrition with Data Analysis and Machine Learning
Sergio Ramirez Rodriguez, Alvaro Guevara Villalobos

|*|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

High-dimensional survival analysis: exploring Cox regression with lasso and adaptive lasso penalties
Pilar González-Barquero

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

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

|*|Data Science in Social and Political Research

Crime in Mexico: an original Data Analysisapproach
Maria Teresa Guerrero-San Vicente, Carlos Cuevas-Covarrubias