Dominique Mercier

According to our database, Dominique Mercier authored at least 24 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FREQuency ATTribution: Benchmarking Frequency-based Occlusion for Time Series Data.

Dominique Mercier, Andreas Dengel, Sheraz Ahmed

CoRR, June, 2025

2024

From private to public: benchmarking GANs in the context of private time series classification.

Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Appl. Intell., October, 2024

Towards privacy preserved document image classification: a comprehensive benchmark.

Saifullah Saifullah, Dominique Mercier, Stefan Agne, Andreas Dengel, Sheraz Ahmed

Int. J. Document Anal. Recognit., September, 2024

The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods.

Saifullah Saifullah, Dominique Mercier, Adriano Lucieri, Andreas Dengel, Sheraz Ahmed

Frontiers Artif. Intell., 2024

2023

TimeFrame: A Novel Framework for Interpretable and Privacy-Preserving Deep Learning for Time Series Analysis.

Dominique Mercier

PhD thesis, 2023

2022

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

Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed

IEEE Trans. Ind. Informatics, 2022

PPML-TSA: A modular privacy-preserving time series classification framework.

Dominique Mercier, Adriano Lucieri, Mohsin Munir, Andreas Dengel, Sheraz Ahmed

Softw. Impacts, 2022

TimeREISE: Time Series Randomized Evolving Input Sample Explanation.

Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Sensors, 2022

Privacy Meets Explainability: A Comprehensive Impact Benchmark.

Saifullah Saifullah, Dominique Mercier, Adriano Lucieri, Andreas Dengel, Sheraz Ahmed

CoRR, 2022

Time to Focus: A Comprehensive Benchmark using Time Series Attribution Methods.

Dominique Mercier, Jwalin Bhatt, Andreas Dengel, Sheraz Ahmed

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data.

Shoaib Ahmed Siddiqui, Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Sensors, 2021

PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification.

Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Proceedings of the International Joint Conference on Neural Networks, 2021

Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis.

Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Sheraz Ahmed, Andreas Dengel

Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent.

Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Andreas Dengel, Sheraz Ahmed

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

ImpactCite: An XLNet-based method for Citation Impact Analysis.

Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Andreas Dengel, Sheraz Ahmed

CoRR, 2020

Interpreting Deep Models through the Lens of Data.

Dominique Mercier, Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

P2ExNet: Patch-Based Prototype Explanation Network.

Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

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

Shoaib Ahmed Siddiqui, Dominique Mercier, Mohsin Munir, Andreas Dengel, Sheraz Ahmed

IEEE Access, 2019

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

Mohsin Munir, Shoaib Ahmed Siddiqui, Ferdinand Küsters, Dominique Mercier, Andreas Dengel, Sheraz Ahmed

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Ontology-based Information Extraction from Technical Documents.

Syed Tahseen Raza Rizvi, Dominique Mercier, Stefan Agne, Steffen Erkel, Andreas Dengel, Sheraz Ahmed

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

SentiCite - An Approach for Publication Sentiment Analysis.

Dominique Mercier, Akansha Bhardwaj, Andreas Dengel, Sheraz Ahmed

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017

DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction.

Akansha Bhardwaj, Dominik Mercier, Andreas Dengel, Sheraz Ahmed

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Academic Community Explorer (ACE) for Syntactic, Semantic and Pragmatic Document Analysis.

Akansha Bhardwaj, Dominique Mercier, Hisham Hashmi, Sheraz Ahmed, Andreas Dengel

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2003

Achieving Optimal Cycle Time Improvement in a 300-mm Semiconductor Fab Using Dynamic Simulation and Design of Experiments.

Dominique Mercier, Olivier Bonnin, Philippe Vialletelle

Simul., 2003