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 |
Functional Data Analysis
| A quantile extension to functional PCA | |
| Alvaro Mendez Civieta |
| Applying classification methods for multivariate functional data | |
| Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński |
Model-Based Clustering
| Gaussian mixture models for changepoint detection | |
| Sanjeena Subedi, Utkarsh Dang |
| Clustering of human gut microbiome data using the finite mixture of generalized Dirichlet-multinomial models | |
| Xiaoke Qin |
| Mixture Multigroup Structural Equation Modeling: Comparing Structural Relations Across Many Groups | |
| Andres Felipe Perez Alonso, Yves Rosseel, Jeroen Vermunt, Kim De Roover |
| 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 |
| A multivariate functional data clustering method using parsimonious cluster weighted models | |
| Cristina Adela Anton |
| Mixtures of Quantile-based Factor Analyzers | |
| Edoardo Redivo |
Optimization in Classification and Clustering
| Machine Learning-Based Classification and Prediction to Assess Corrosion Degradation in Mining Pipelines | |
| Kalidou Moussa Sow, Nadia GHAZALLI |
| 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 |
Text Mining
| Combining Topic Modeling and Word Embedding to Predict Match Outcomes in Association Football | |
| Sourav Adhikari |
| Visualization and Clustering with Projective Techniques | |
| Stephen L. France |
AI for Government: Methods and Data Analysis
| Unsupervised Detection of Anomaly in Public Procurement Processes | |
| Jose Pablo Arroyo-Castro, Shu Wei Chou-Chen |
Big Data
| Understanding omics links behind glioma heterogeneity: a network and clustering approach | |
| Marta B Lopes |
Clustering, Classification and Discrimination
| A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data | |
| Efthymios Costa, Ioanna Papatsouma, Angelos Markos |
| Model-based bi-clustering using multivariate Poisson-lognormal with general block-diagonal covariance matrix and its applications Submitted to IFCS 2024 Book of Abstracts | |
| Caitlin Kral |
| Clustering for High-Dimensional, Nested Data with Categorical Outcomes Using a Generalized Linear Mixed Effects Model with Simultaneous Variable Selection | |
| Samantha Manning |
| Weighted Consensus Clustering for Unbiased Feature Importance in Random Forests | |
| Ndèye NIANG |
| Randomly perturbed random forests | |
| Laura Anderlucci, Angela Montanari |
| A toolbox for clustering ordinal data in the presence of missing values | |
| Lena Ortega Menjivar |
| Multimodal Emotion Recognition: A comparative study | |
| Ayemn Gondech, Hélène Tran, Issam Falih, Xavier Goblet, Engelbert Mephu Nguifo |
| Two clustering strategies for structural composite models with PLS-SEM | |
| Véronique Cariou |
| P-value Adjusted Selected Tree Ensemble | |
| Joshua Pooley, Berthold Lausen, Osama Mahmoud, Henrik Nordmark, Ivan Schuch |
Data Science
| Riemannian Statistics for Any Type of Data | |
| Oldemar Rodriguez Rojas |
Dimension Reduction
| Optimal penalized sparse PCA | |
| Rosember Isidoro Guerra Urzola |
| Multiblock Regularized Least-squares Latent Variable Method | |
| Thu Tra Le |
Generative Artificial Intelligence, Explainable Artificial Intelligence (XAI)
| Innovating the banking with machine learning: Credit Score for MSMEs | |
| Tatiana Quirós Muñoz, Álvaro Guevara Villalobos |
Image Analysis and Computer Vision
| Integration of Deep Learning and Marketing Research for Brand Confusion Prediction and Visual ad Analysis | |
| Atsuho Nakayama |
Machine Learning
| Improving Employee Attrition with Data Analysis and Machine Learning | |
| Sergio Ramirez Rodriguez, Alvaro Guevara Villalobos |
| 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 |
| Predicting soil bacterial and fungal communities at different taxonomic levels using machine learning | |
| Vladimir Makarenkov, Zahia Aouabed, Mohamed Achraf Bouaoune, Mohamed Hijri |
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 |
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 |
| 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 |
| Statistics in the Knowledge Economy | |
| David Banks |
| A Gene Selection Method for Classification with Three Classes Using Proportional Overlapping Scores | |
| Anusa Suwanwong, Andrew Harrison, Osama Mahmoud |
| 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 |
| High-dimensional survival analysis: exploring Cox regression with lasso and adaptive lasso penalties | |
| Pilar González-Barquero |
| Using polynomials to explain classification outputs from neural networks | |
| Pablo Morala |
|*|Clustering, Classification and Discrimination (Organized by Aurea Grané)
| A new distance for categorical data with moderate association | |
| Aurea Grané, Silvia Salini, Gabriele Infante |
| Unsupervised methods for the creation of orthonormal bases in compositional data: R-mode clustering | |
| Jose Antonio Martin Fernandez |
| A multivariate approach for clustering functional data in one and multiple dimensions | |
| Belén Pulido |
| Analysis of seawater nutrient concentrations to assess Submarine Groundwater Discharge along the Catalan coast (NW Mediterranean): a Compositional Data Analysis Approach | |
| M.I. Ortego |
| Fuzzy Clustering of Attributed Networks | |
| lazhar labiod, Mohamed Nadif |
| 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 |
| 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 |
| Green bond yield determination with the use of machine learning methods. Comparison with conventional bonds | |
| Katarzyna Ewa Kuziak, Klaudia Kaczmarczyk, Caner Colak |
|*|Data Science in Social and Political Research
| Mapping Electoral Behavior and Political Competition: A Comparative Analytical Framework for Voter Typologies and Political Discourses | |
| Georgia Panagiotidou, Theodore Chadjipadelis |
| Candidates, Parties, Issues and the Political Marketing Strategies: A Comparative Analysis on political competition in Greece | |
| VASILIKI BOURANTA, GEORGIA PANAGIOTIDOU, THEODORE CHADJIPADELIS |
| Gender Bias Mitigation in a Credit Scoring Model | |
| Ricardo Corrales-Barquero |
| Crime in Mexico: an original Data Analysisapproach | |
| Maria Teresa Guerrero-San Vicente, Carlos Cuevas-Covarrubias |
|*|Functional Data Analysis (Organized by Prof. Rosanna Verde)
| A new metric to classify B cell lineage tree | |
| Nadia Tahiri |
|*|Health Data Science
| TabText: A Flexible and Contextual Approach to Tabular Data Representation | |
| Kimberly Villalobos Carballo |
|*|Modeling Multivariate Data (Organized by Prof. Anuradha Roy)
| Classifying multivariate observations in data sets with asymmetric features and outlying observations | |
| Brian Franczak |
| Multiblock Methods for Learning Structural Equation Models: An Overview | |
| Alba Martinez-Ruiz |
| A Comparison of Multivariate Mixed Models and Generalized Estimation Equations Models for Discrimination in Multivariate Longitudinal Data | |
| Tolulope Sajobi |
|*|Multidimensional data visualization (Organized by Johané Nienkemper & Sugnet Lubbe)
| Reduced Rank Regression with Mixed Predictors and Mixed Responses | |
| Mark de Rooij |
| Model Selection for Linear Regression Under Data Aggregation | |
| Pieter C. Schoonees |
| Nearest neighbors for mixed type data: an inter-dependency based approach | |
| Alfonso Iodice D'Enza, Carlo Cavicchia, Michel van de Velden, Angelos Markos |
|*|Pattern Recognition
| Pattern Recognition for Mexican Household Power Demand Time Series | |
| José Asse Amiga |
|*|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)
| Distributional-based Partitioning with Copulas | |
| Wenhao Pan, Lynne Billard |
| A fuzzy clustering algorithm with entropy regularization for interval-valued data | |
| Francisco de Assis Tenorio de Carvalho |
| Symbolic Data Analysis Framework for Recommendation Systems: SDA-RecSys | |
| Pushya Chaparala, Nagabhushan P |
| Network analysis approach to the analysis of event sequences | |
| Vladimir Batagelj, Anuška Ferligoj |
| Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe | |
| Raffaele Mattera, Philip Hans Franses |
| Principal Components Analysis of Histogram-valued Data: Set Theory Approach | |
| Jorge Arce, Oldemar Rodriguez Rojas |
| Expected Size of Random Fuzzy Concep Lattices | |
| Richard EMILION |
| 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 |
| Hypothesis Testing of Mean Interval for p-dimensional Interval-valued Data | |
| Anuradha Roy, Fernando Montes |
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