IDA (2)

Publications

2024

Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-Moreira
Kernel Corrector LSTM. IDA (2) (2024)
Lionel Kielhöfer, Felix Mohr, Jan N. van Rijn
Learning Curve Extrapolation Methods Across Extrapolation Settings. IDA (2) (2024)
Christoph Düsing, Philipp Cimiano
Monitoring Concept Drift in Continuous Federated Learning Platforms. IDA (2) (2024)
Pedro C. Vieira, João P. Montrezol, João T. Vieira, João Gama
S+t-SNE - Bringing Dimensionality Reduction to Data Streams. IDA (2) (2024)
Valentin Lemaire, Gaël Aglin, Siegfried Nijssen
Interpretable Quantile Regression by Optimal Decision Trees. IDA (2) (2024)
Thore Gerlach, Sascha Mücke
Investigating the Relation Between Problem Hardness and QUBO Properties. IDA (2) (2024)
Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova
Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. IDA (2) (2024)
Anton Björklund, Lauri Seppäläinen, Kai Puolamäki
SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. IDA (2) (2024)
Guillermo Fernández, Riccardo Guidotti, Fosca Giannotti, Mattia Setzu, Juan A. Aledo, José A. Gámez, José Miguel Puerta
FLocalX - Local to Global Fuzzy Explanations for Black Box Classifiers. IDA (2) (2024)
Jinyang Yu, Sami Hamdan, Leonard Sasse, Abigail Morrison, Kaustubh R. Patil
Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection. IDA (2) (2024)
Louis Carpentier, Arne De Temmerman, Mathias Verbeke
Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks. IDA (2) (2024)
Jie Zhong, Zhenkan Wang
Implementing Deep Learning Models for Imminent Component X Failures Prediction in Heavy-Duty Scania Trucks. IDA (2) (2024)
Harold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Gaël Aglin
Efficient Lookahead Decision Trees. IDA (2) (2024)
Maciej Krzysztof Zuziak, Salvatore Rinzivillo
Amplified Contribution Analysis for Federated Learning. IDA (2) (2024)
Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read
Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. IDA (2) (2024)
Henrik Boström
Example-Based Explanations of Random Forest Predictions. IDA (2) (2024)
Maurizio Parton, Andrea Fois, Michelangelo Vegliò, Carlo Metta, Marco Gregnanin
Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks. IDA (2) (2024)
Thabang Lebese, Cécile Mattrand, David Clair, Jean-Marc Bourinet, François Deheeger
Unsupervised Representation Learning for Smart Transportation. IDA (2) (2024)
Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
A Frank System for Co-Evolutionary Hybrid Decision-Making. IDA (2) (2024)
Maedeh Nasri, Thomas Maliappis, Carolien Rieffe, Mitra Baratchi
T-DANTE: Detecting Group Behaviour in Spatio-Temporal Trajectories Using Context Information. IDA (2) (2024)
Joel Dierkes, Daniel Stelter, Christian Braune
λ-DBSCAN: Augmenting DBSCAN with Prior Knowledge. IDA (2) (2024)
Simon Neumeyer, Julian Stier, Michael Granitzer
Efficient NAS with FaDE on Hierarchical Spaces. IDA (2) (2024)

volume 14642, 2024

Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part II IDA (2) 14642 (2024)