Advances in Intelligent Data Analysis XX

20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings

AvTassadit Bouadi,Elisa Fromont

Häftad, Engelska, 2022

Del 13205 i serien Lecture Notes in Computer Science

802 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This book constitutes the proceedings of the 20th International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Rennes, France, during April 20-22, 2022. The 31 papers included in this book were carefully reviewed and selected from 73 submissions. They deal with high quality, novel research in intelligent data analysis.

Produktinformation

Utgivningsdatum:2022-04-07
Mått:155 x 235 x 23 mm
Vikt:633 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:406
Förlag:Springer International Publishing AG
ISBN:9783031013324

Utforska kategorier

Innehållsförteckning

Multi-Modal Ensembles of Regressor Chains for Multi-Output Prediction.- A Two-Step Approach for Explainable Relation Extraction.- Towards Automation of Topic Taxonomy Construction.- A fault detection framework based on LSTM autoencoder: a case study for Volvo bus data.- Detection and Multi-Label Classification of Bats.- End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network.- Effcient Bayesian learning of sparse deep artificial neural networks.- Tensor Completion Post-Correction.- Hadi Fanaee-T S-LIME: Reconciling Locality and Fidelity in Linear Explanations.- Changes in Predictions of Classification Models for Data Streams.- Impact of dimensionality on nowcasting seasonal influenza with environmental factors.- On Usefulness of Outlier Elimination in Classification Tasks.- Suitability of Different Metric Choices for Concept Drift Detection.- Exploring the Geometry and Topology of Neural Network Loss Landscapes.- Selecting Outstanding Patterns Based on their Neighbourhood.- Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data.- dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification.- AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks.- VAE-CE: Visual Contrastive Explanation using Disentangled VAEs.- Evaluation of Uplift Models with Non-Random Assignment Bias.- A Generic Trace Ordering Framework for Incremental Process Discovery.- Bank statements to network features: Extracting features out of time series using visibility graph.- Modular-Relatedness for Continual Learning.- Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.- LG4AV: Combining Language Models and Graph Neural Networks for Author Verification.-Effcient Subgroup Discovery Through Auto-Encoding.- Simulation of scientific experiments with generative models.- A Learning Vector Quantization Architecture for Transfer Learning Based Classification in Case of Multiple Sources by Means of Nullspace Evaluation.- MuseBar: Alleviating Posterior Collapse in Recurrent VAEs toward Music Generation.- Parameter Learning in ProbLog With Annotated Disjunctions.- Semantic-Based Few-Shot Classification by Psychometric Learning.

Du kanske också är intresserad av

Advances in Intelligent Data Analysis XX

Eyke Hullermeier, Elisa Fromont, Tassadit Bouadi

E-bok

2022

1 000 kr

Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastian Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça - Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Häftad

Del 1524

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastian Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça