Dominique Mercier

Orcid: 0000-0001-8817-2744

Affiliations:
  • German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany


According to our database1, Dominique Mercier authored at least 21 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
TimeFrame: A Novel Framework for Interpretable and Privacy-Preserving Deep Learning for Time Series Analysis.
PhD thesis, 2023

From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification.
CoRR, 2023

2022
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification.
IEEE Trans. Ind. Informatics, 2022

PPML-TSA: A modular privacy-preserving time series classification framework.
Softw. Impacts, 2022

TimeREISE: Time Series Randomized Evolving Input Sample Explanation.
Sensors, 2022

Privacy Meets Explainability: A Comprehensive Impact Benchmark.
CoRR, 2022

Time to Focus: A Comprehensive Benchmark using Time Series Attribution Methods.
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.
Sensors, 2021

PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis.
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.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
ImpactCite: An XLNet-based method for Citation Impact Analysis.
CoRR, 2020

Interpreting Deep Models through the Lens of Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

P2ExNet: Patch-Based Prototype Explanation Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
TSViz: Demystification of Deep Learning Models for Time-Series Analysis.
IEEE Access, 2019

TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.
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.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

SentiCite - An Approach for Publication Sentiment Analysis.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

2017
DeepBIBX: Deep Learning for Image Based Bibliographic Data Extraction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Academic Community Explorer (ACE) for Syntactic, Semantic and Pragmatic Document Analysis.
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.
Simul., 2003


  Loading...