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Special Issue on Process Mining and Emerging Applications

Algorithms, 2021-01, Vol.14 (1), p.13

Guzzo, Antonella

2021

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Constrained coalition formation on valuation structures: Formal framework, applications, and islands of tractability

Artificial intelligence, 2017-08, Vol.249, p.19-46

2017

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DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images

Applied sciences, 2023-02, Vol.13 (4), p.2082

2023

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The G Protein Estrogen Receptor is involved in the resistance to the CDK4/6 inhibitor palbociclib in breast cancer

Journal of experimental & clinical cancer research, 2024-06, Vol.43 (1), p.1-22

2024

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ID-Service: A Blockchain-Based Platform to Support Digital-Identity-Aware Service Accountability

Applied sciences, 2021-01, Vol.11 (1), p.165

2021

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Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools

IEEE transactions on knowledge and data engineering, 2020-05, Vol.32 (5), p.898-911

2020

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Control-Flow Modeling with D eclare : Behavioral Properties, Computational Complexity, and Tools

IEEE transactions on knowledge and data engineering, 2020-01, Vol.32 (5), p.898

2020

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Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities

IEEE transactions on industrial informatics, 2024-08, p.1-11

2024

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Process mining applications in the healthcare domain: A comprehensive review

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2022-03, Vol.12 (2), p.e1442-n/a

2022

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Model aggregation techniques in federated learning: A comprehensive survey

Future generation computer systems, 2024-01, Vol.150, p.272-293

2024

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A multi-perspective approach for the analysis of complex business processes behavior

Expert systems with applications, 2021-09, Vol.177, p.114934, Article 114934

2021

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Data and model aggregation for radiomics applications: Emerging trend and open challenges

Information fusion, 2023-12, Vol.100, p.101923, Article 101923

2023

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Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network

Internet of things (Amsterdam. Online), 2024-07, Vol.26, p.101223, Article 101223

2024

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Causal knowledge fusion for 3D cross-modality cardiac image segmentation

Information fusion, 2023-11, Vol.99, p.101864, Article 101864

2023

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Modeling and efficiently detecting security-critical sequences of actions

Future generation computer systems, 2020-12, Vol.113, p.196-206

2020

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Attention-based Multihead Deep Learning Framework for online activity monitoring with Smartwatch Sensors

IEEE internet of things journal, 2023-10, Vol.10 (20), p.1-1

2023

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Enabling Obfuscation Detection in Binary Software through eXplainable AI

IEEE transactions on emerging topics in computing, 2024-08, p.1-12

2024

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Predicting activities of daily living via temporal point processes: Approaches and experimental results

Computers & electrical engineering, 2021-12, Vol.96, p.107567, Article 107567

2021

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Identification and prediction of attacks to industrial control systems using temporal point processes

Journal of ambient intelligence and humanized computing, 2023-05, Vol.14 (5), p.4771-4783

2023

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Survival prediction of heart failure patients using motion-based analysis method

Computer methods and programs in biomedicine, 2023-06, Vol.236, p.107547-107547, Article 107547

2023

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Fully automated approach of machine learning combined with deep learning to forecast the coronary artery disease in patients with non-alcoholic fatty liver disease

Journal of hepatology, 2023-06, Vol.78, p.S685

2023

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SAT-446 - Fully automated approach of machine learning combined with deep learning to forecast the coronary artery disease in patients with non-alcoholic fatty liver disease

Journal of hepatology, 2023-06, Vol.78, p.S685-S685

2023

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Discovering expressive process models by clustering log traces

IEEE transactions on knowledge and data engineering, 2006-08, Vol.18 (8), p.1010-1027

2006

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FD-VAE: A Feature Driven VAE Architecture for Flexible Synthetic Data Generation

Database and Expert Systems Applications, p.188-197

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Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction

Data & knowledge engineering, 2011-12, Vol.70 (12), p.1005-1029

2011

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Special Issue on Process Mining and Emerging Applications

Constrained coalition formation on valuation structures: Formal framework, applications, and islands of tractability

DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images

The G Protein Estrogen Receptor is involved in the resistance to the CDK4/6 inhibitor palbociclib in breast cancer

ID-Service: A Blockchain-Based Platform to Support Digital-Identity-Aware Service Accountability

Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools

Control-Flow Modeling with D eclare : Behavioral Properties, Computational Complexity, and Tools

Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities

Process mining applications in the healthcare domain: A comprehensive review

Model aggregation techniques in federated learning: A comprehensive survey

A multi-perspective approach for the analysis of complex business processes behavior

Data and model aggregation for radiomics applications: Emerging trend and open challenges

Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network

Causal knowledge fusion for 3D cross-modality cardiac image segmentation

Modeling and efficiently detecting security-critical sequences of actions

Attention-based Multihead Deep Learning Framework for online activity monitoring with Smartwatch Sensors

Enabling Obfuscation Detection in Binary Software through eXplainable AI

Predicting activities of daily living via temporal point processes: Approaches and experimental results

Identification and prediction of attacks to industrial control systems using temporal point processes

Survival prediction of heart failure patients using motion-based analysis method

Fully automated approach of machine learning combined with deep learning to forecast the coronary artery disease in patients with non-alcoholic fatty liver disease

SAT-446 - Fully automated approach of machine learning combined with deep learning to forecast the coronary artery disease in patients with non-alcoholic fatty liver disease

Discovering expressive process models by clustering log traces

FD-VAE: A Feature Driven VAE Architecture for Flexible Synthetic Data Generation

Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction

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