Publications

In: IEEE Transactions on Industrial Informatics (IEEE) 10 Pages 1-9 IEEE 11/2021.

In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. International Conference on Computer Vision (ICCV-2021) Online Computer Vision Foundation 10/2021.

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In: IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI’21) JOINTLY ORGANISED WITH THE 17TH IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN’21). IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-2021) July 27-30 Athens Europe Greece ISBN 978-1-6654-4770-6 IEEE 8/2021.

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In: 2021 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN-2021) July 18-20 Glasgow United Kingdom IJCNN 2021.

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In: IEEE Access 10 Pages 1-10 IEEE 2020.

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In: Applied Sciences (MDPI) 10 Pages 6460-6460 MDPI 2020.

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In: 18th IEEE International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2019) December 16-19 Boca Raton Florida United States Pages 561-566 ISBN 978-1-7281-4550-1 IEEE 12/2019.

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In: ICANN. International Conference on Artificial Neural Networks (ICANN-2019) September 17-19 Munich Germany Pages 426-439 11731 ISBN 978-3-030-30493-5 Springer, Cham 9/2019.

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In: The 28th International Conference on Artificial Neural Networks.. International Conference on Artificial Neural Networks (ICANN-2019) September 17-19 Munich Germany IEEE 9/2019.

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In: Sensors - Open Access Journal (Sensors) 19 11 Pages 1-15 MDPI 5/2019.

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Publications

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

XAI Handbook: Towards a Unified Framework for Explainable AI

DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images

DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images

Confident Classification using a Hybrid between Deterministic and Probabilistic Convolutional Neural Networks

Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks

A Comparative Analysis of Traditional and Deep Learning-based Anomaly Detection Methods for Streaming Data

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features

DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

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