IDA (1)

Publications

2024

Adem Kikaj, Giuseppe Marra, Luc De Raedt
Subgraph Mining for Graph Neural Networks. IDA (1) (2024)
Tu My Doan, David Baumgartner, Benjamin Kille, Jon Atle Gulla
Automatically Detecting Political Viewpoints in Norwegian Text. IDA (1) (2024)
Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy
A Structural-Clustering Based Active Learning for Graph Neural Networks. IDA (1) (2024)
Ylenia Rotalinti, Puja Myles, Allan Tucker
Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. IDA (1) (2024)
Joana Cristo Santos, Miriam Seoane Santos, Pedro Henriques Abreu
An Interpretable Human-in-the-Loop Process to Improve Medical Image Classification. IDA (1) (2024)
Iko Vloothuis, Wouter Duivesteijn
RMI-RRG: A Soft Protocol to Postulate Monotonicity Constraints for Tabular Datasets. IDA (1) (2024)
Matías Molina, Rita P. Ribeiro, Bruno Veloso, João Gama
Super-Resolution Analysis for Landfill Waste Classification. IDA (1) (2024)
Vu Minh Hoang Dang, Rakesh M. Verma
Data Quality in NLP: Metrics and a Comprehensive Taxonomy. IDA (1) (2024)
Antoine Gourru, Charlotte Laclau, Manvi Choudhary, Christine Largeron
Variational Perspective on Fair Edge Prediction. IDA (1) (2024)
Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton
GloNets: Globally Connected Neural Networks. IDA (1) (2024)
Pawel Golik, Maciej Grzenda, Elzbieta Sienkiewicz
Hybrid Ensemble-Based Travel Mode Prediction. IDA (1) (2024)
Marko Petkovic, Pablo Romero-Marimon, Vlado Menkovski, Sofía Calero
Equivariant Parameter Sharing for Porous Crystalline Materials. IDA (1) (2024)
Wouter W. L. Nuijten, Vlado Menkovski
Node Classification in Random Trees. IDA (1) (2024)
Sébastien Ferré
Tackling the Abstraction and Reasoning Corpus (ARC) with Object-Centric Models and the MDL Principle. IDA (1) (2024)
Enzo Terreau, Julien Velcin
Building Brownian Bridges to Learn Dynamic Author Representations from Texts. IDA (1) (2024)
Fabian Hinder, Valerie Vaquet, Barbara Hammer
A Remark on Concept Drift for Dependent Data. IDA (1) (2024)
Boshko Koloski, Nada Lavrac, Bojan Cestnik, Senja Pollak, Blaz Skrlj, Andrej Kastrin
AHAM: Adapt, Help, Ask, Model Harvesting LLMs for Literature Mining. IDA (1) (2024)
Friederike Baier, Sebastian Mair, Samuel G. Fadel
Self-supervised Siamese Autoencoders. IDA (1) (2024)
Imed Keraghel, Stanislas Morbieu, Mohamed Nadif
Beyond Words: A Comparative Analysis of LLM Embeddings for Effective Clustering. IDA (1) (2024)
Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane
Multi-armed Bandits with Generalized Temporally-Partitioned Rewards. IDA (1) (2024)
Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi
Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. IDA (1) (2024)

volume 14641, 2024

Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I IDA (1) 14641 (2024)