Multi-Channel Deep Feature Learning for Intrusion Detection von Andresini, Giuseppina, Appice, Annalisa, Di Mauro, Nicola, Loglisci, Corrado, Malerba, Donato

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Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection von Appice, Annalisa, Andresini, Giuseppina, Malerba, Donato

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A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data von Andresini, Giuseppina, Appice, Annalisa, Malerba, Donato

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An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images von Andresini, Giuseppina, Appice, Annalisa, Malerba, Donato

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Introduction to the special issue of the ECML PKDD 2021 journal track von Appice, Annalisa, Escalera, Sergio, Gámez, Jose A., Trautmann, Heike

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Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification von Appice, Annalisa, Guccione, Pietro, Acciaro, Emilio, Malerba, Donato

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Introduction to the special issue of the ECML PKDD 2021 journal track von Appice, Annalisa, Escalera, Sergio, Gámez, Jose A., Trautmann, Heike

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Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings von Appice, Annalisa, Tsoumakas, Grigorios, Manolopoulos, Yannis, Matwin, Stan

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Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection von Imran, Muhammad, Appice, Annalisa, Malerba, Donato

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A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico von Appice, Annalisa, Gel, Yulia R., Iliev, Iliyan, Lyubchich, Vyacheslav, Malerba, Donato

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Leveraging autoencoders in change vector analysis of optical satellite images von Andresini, Giuseppina, Appice, Annalisa, Iaia, Daniele, Malerba, Donato, Taggio, Nicolò, Aiello, Antonello

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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 Select... von Appice, Annalisa, Ceci, Michelangelo, Loglisci, Corrado, Masciari, Elio, Raś, Zbigniew W

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ORANGE: Outcome-Oriented Predictive Process Monitoring based on Image Encoding and CNNs von Pasquadibisceglie, Vincenzo, Appice, Annalisa, Castellano, Giovanna, Malerba, Donato, Modugno, Giuseppe

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Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets von Appice, Annalisa, Cannarile, Angelo, Falini, Antonella, Malerba, Donato, Mazzia, Francesca, Tamborrino, Cristiano

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Collective regression for handling autocorrelation of network data in a transductive setting von Loglisci, Corrado, Appice, Annalisa, Malerba, Donato

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Autoencoder-based deep metric learning for network intrusion detection von Andresini, Giuseppina, Appice, Annalisa, Malerba, Donato

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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 Selecte... von Appice, Annalisa, Loglisci, Corrado, Manco, Giuseppe, Masciari, Elio, Ras, Zbigniew W

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Segmentation-aided classification of hyperspectral data using spatial dependency of spectral bands von Appice, Annalisa, Malerba, Donato

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Towards mining the organizational structure of a dynamic event scenario von Appice, Annalisa

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Nearest cluster-based intrusion detection through convolutional neural networks von Andresini, Giuseppina, Appice, Annalisa, Malerba, Donato

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