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Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

1, 2022

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A computerized prediction model of hazardous inflammatory platelet transfusion outcomes

PloS one, 2014-05, Vol.9 (5), p.e97082-e97082

2014

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XEM: An explainable-by-design ensemble method for multivariate time series classification

Data mining and knowledge discovery, 2022-05, Vol.36 (3), p.917-957

2022

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XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Mathematics (Basel), 2021-12, Vol.9 (23), p.3137-20

2021

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Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings

1, 2015

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II

1, 2020

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I

1, 2020

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III

1, 2020

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Guided Attentive Feature Fusion for Multispectral Pedestrian Detection

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021, p.72-80

2021

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Mining Mid-level Features for Image Classification

International journal of computer vision, 2014-07, Vol.108 (3), p.186-203

2014

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Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

2020 IEEE International Conference on Image Processing (ICIP), 2020, p.276-280

2020

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Combination of explicit segmentation with Seq2Seq recognition for fine analysis of children handwriting

International journal on document analysis and recognition, 2022-12, Vol.25 (4), p.339-350

2022

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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part III

1, 2016

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Optimal constraint-based decision tree induction from itemset lattices

Data mining and knowledge discovery, 2010-07, Vol.21 (1), p.9-51

2010

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Robust Anomaly Detection in Images Using Adversarial Autoencoders

Machine Learning and Knowledge Discovery in Databases, p.206-222

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Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression

Machine Learning and Knowledge Discovery in Databases, p.273-289

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Deep metric learning for visual servoing: when pose and image meet in latent space

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, p.741-747

2023

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On the benefits of self-taught learning for brain decoding

Gigascience, 2023-05, Vol.12, p.1-17

2023

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Siame-se(3): regression in se(3) for end-to-end visual servoing

2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, p.14454-14460

2021

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Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours

Machine Learning and Knowledge Discovery in Databases, p.481-497

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Multi-task, multi-domain learning: Application to semantic segmentation and pose regression

Neurocomputing (Amsterdam), 2017-08, Vol.251, p.68-80

2017

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Platelet soluble CD40-ligand level is associated with transfusion adverse reactions in a mixed threshold-and-hit model

Blood, 2017-09, Vol.130 (11), p.1380-1383

2017

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Visual Servoing in Autoencoder Latent Space

IEEE robotics and automation letters, 2022-04, Vol.7 (2), p.3234-3241

2022

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String Sanitization: A Combinatorial Approach

Machine Learning and Knowledge Discovery in Databases, 2020, p.627-644

2020

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Integrating Learning and Reasoning with Deep Logic Models

Machine Learning and Knowledge Discovery in Databases, p.517-532

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Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

A computerized prediction model of hazardous inflammatory platelet transfusion outcomes

XEM: An explainable-by-design ensemble method for multivariate time series classification

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22 -24, 2015. Proceedings

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III

Guided Attentive Feature Fusion for Multispectral Pedestrian Detection

Mining Mid-level Features for Image Classification

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

Combination of explicit segmentation with Seq2Seq recognition for fine analysis of children handwriting

Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part III

Optimal constraint-based decision tree induction from itemset lattices

Robust Anomaly Detection in Images Using Adversarial Autoencoders

Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression

Deep metric learning for visual servoing: when pose and image meet in latent space

On the benefits of self-taught learning for brain decoding

Siame-se(3): regression in se(3) for end-to-end visual servoing

Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression

Platelet soluble CD40-ligand level is associated with transfusion adverse reactions in a mixed threshold-and-hit model

Visual Servoing in Autoencoder Latent Space

String Sanitization: A Combinatorial Approach

Integrating Learning and Reasoning with Deep Logic Models

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