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Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings

1, 2016

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Exploiting causality in gene network reconstruction based on graph embedding

Machine learning, 2020-06, Vol.109 (6), p.1231-1279

2020

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Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

IEEE transactions on industrial informatics, 2017-06, Vol.13 (3), p.956-966

2017

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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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CloFAST: closed sequential pattern mining using sparse and vertical id-lists

Knowledge and information systems, 2016-08, Vol.48 (2), p.429-463

2016

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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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DENCAST: distributed density-based clustering for multi-target regression

Journal of big data, 2019-06, Vol.6 (1), p.1-27, Article 43

2019

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Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

BMC bioinformatics, 2014, Vol.15 Suppl 1 (S1), p.S4-S4, Article S4

2014

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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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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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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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Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining

Discovery Science, p.49-61

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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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Mining emotion-aware sequential rules at user-level from micro-blogs

Journal of intelligent information systems, 2021-10, Vol.57 (2), p.369-394

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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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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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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Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing

IEEE access, 2019, Vol.7, p.154141-154156

2019

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Big Data Research in Italy： A Perspective

Engineering (Beijing, China), 2016-06, Vol.2 (2), p.163-170

2016

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Discovery Science: 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings

Exploiting causality in gene network reconstruction based on graph embedding

Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

Multi-Channel Deep Feature Learning for Intrusion Detection

CloFAST: closed sequential pattern mining using sparse and vertical id-lists

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

DENCAST: distributed density-based clustering for multi-target regression

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach

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

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

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

Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining

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

Mining emotion-aware sequential rules at user-level from micro-blogs

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

Autoencoder-based deep metric learning for network intrusion detection

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

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

Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing

Big Data Research in Italy： A Perspective

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