Publications AV

In: IEEE Access 10 Pages 87900-87910 Institute of Electrical and Electronics Engineers (IEEE) 8/2022.

In: Guang Yang, Angelica Aviles-Rivero, Michael Roberts, Carola-Bibiane Schönlieb (editor). Annual Conference on Medical Image Understanding and Analysis - MIUA 2022. Medical Image Understanding and Analysis (MIUA-2022) July 27-29 Cambridge United Kingdom Pages 46-61 LNCS 13413 ISBN 978-3-031-12052-7 Springer Cham 7/2022.

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In: Sensors - Open Access Journal (Sensors) 21 Pages 1-16 MDPI 11/2021.

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In: Springer Singapore (editor). SN Computer Science 1 Issue 3 Pages 1-16 Springer Singapore 5/2020.

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In: Applied Sciences 10 7 Page 2488 Multidisciplinary Digital Publishing Institute 4/2020.

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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: IEEE (editor). International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2019) located at 15th September 20-25 Sydney Australia IEEE 2019.

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In: Proceedings - The 15th IAPR International Conference on Document Analysis and Recognition. International Conference on Document Analysis and Recognition (ICDAR-2019) September 20-25 Sydney Australia Pages 1397-1402 ISBN 978-1-7281-3015-6 IEEE 2019.

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In: IEEE Access 7 Pages 1991-2005 IEEE 12/2018.

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In: Computing Research Repository eprint Journal (CoRR) ArXiv. abs/1802.02952 Pages 1-13 ArXiv 2018.

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Augmented Vision

PUBLICATIONS

Improving Health Mention Classification of Social Media Content using Contrastive Adversarial Training

Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification

TSInsight: A local-global attribution framework for interpretability in time-series data

Benchmarking Deep Learning Models for Classification of Book Covers

Computer-Aided Diagnosis of Skin Diseases using Deep Neural Networks

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

DeepTabStR: Deep Learning based Table Structure Recognition

Rethinking Semantic Segmentation for Table Structure Recognition in Documents

DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

TSViz: Demystification of Deep Learning Models for Time-Series Analysis

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