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Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings

1st Edition 2020, 2020

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New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers

1, 2017

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New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers

1st Edition 2018, 2018

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Multi-Channel Deep Feature Learning for Intrusion Detection

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection

Journal of intelligent information systems, 2020-08, Vol.55 (1), p.1-26

2020

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A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.17075-17086

2024

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An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2023, Vol.16, p.10050-10066

2023

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Introduction to the special issue of the ECML PKDD 2021 journal track

Machine learning, 2021-10, Vol.110 (10), p.2991-2992

2021

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Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification

Applied intelligence (Dordrecht, Netherlands), 2020-10, Vol.50 (10), p.3179-3200

2020

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Introduction to the special issue of the ECML PKDD 2021 journal track

Data mining and knowledge discovery, 2021-11, Vol.35 (6), p.2540-2541

2021

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Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection

Future internet, 2024-05, Vol.16 (5), p.168

2024

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A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

IEEE access, 2020, Vol.8, p.52713-52725

2020

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Leveraging autoencoders in change vector analysis of optical satellite images

Journal of intelligent information systems, 2022-06, Vol.58 (3), p.433-452

2022

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New Frontiers in Mining Complex Patterns: Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers

2015, 2015

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ORANGE: Outcome-Oriented Predictive Process Monitoring based on Image Encoding and CNNs

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets

Journal of intelligent information systems, 2021-12, Vol.57 (3), p.423-446

2021

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Collective regression for handling autocorrelation of network data in a transductive setting

Journal of intelligent information systems, 2016-06, Vol.46 (3), p.447-472

2016

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Autoencoder-based deep metric learning for network intrusion detection

Information sciences, 2021-08, Vol.569, p.706-727

2021

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

1st Edition 2023, 2023

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

1, 2023

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Segmentation-aided classification of hyperspectral data using spatial dependency of spectral bands

ISPRS journal of photogrammetry and remote sensing, 2019-01, Vol.147, p.215-231

2019

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Towards mining the organizational structure of a dynamic event scenario

Journal of intelligent information systems, 2018-02, Vol.50 (1), p.165-193

Appice, Annalisa

2018

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Nearest cluster-based intrusion detection through convolutional neural networks

Knowledge-based systems, 2021-03, Vol.216, p.106798, Article 106798

2021

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GAN augmentation to deal with imbalance in imaging-based intrusion detection

Future generation computer systems, 2021-10, Vol.123, p.108-127

2021

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A Co-Training Strategy for Multiple View Clustering in Process Mining

IEEE transactions on services computing, 2016-11, Vol.9 (6), p.832-845

2016

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Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings

New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers

New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers

Multi-Channel Deep Feature Learning for Intrusion Detection

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data

An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images

Introduction to the special issue of the ECML PKDD 2021 journal track

Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification

Introduction to the special issue of the ECML PKDD 2021 journal track

Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico

Leveraging autoencoders in change vector analysis of optical satellite images

New Frontiers in Mining Complex Patterns: Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers

ORANGE: Outcome-Oriented Predictive Process Monitoring based on Image Encoding and CNNs

Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets

Collective regression for handling autocorrelation of network data in a transductive setting

Autoencoder-based deep metric learning for network intrusion detection

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

Segmentation-aided classification of hyperspectral data using spatial dependency of spectral bands

Towards mining the organizational structure of a dynamic event scenario

Nearest cluster-based intrusion detection through convolutional neural networks

GAN augmentation to deal with imbalance in imaging-based intrusion detection

A Co-Training Strategy for Multiple View Clustering in Process Mining

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