Andrey Boytsov

According to our database, Andrey Boytsov authored at least 23 papers between 2009 and 2024.

Collaborative distances:

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

2024

Enhancing Text-to-SQL Translation for Financial System Design.

Yewei Song, Saad Ezzini, Xunzhu Tang, Cedric Lothritz, Jacques Klein, Tegawendé F. Bissyandé, Andrey Boytsov, Ulrick Ble, Anne Goujon

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023

Evaluating the Impact of Text De-Identification on Downstream NLP Tasks.

Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Saad Ezzini, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon

Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Comparing Pre-Training Schemes for Luxembourgish BERT Models.

Cedric Lothritz, Saad Ezzini, Christoph Purschke, Tegawendé F. Bissyandé, Jacques Klein, Isabella Olariu, Andrey Boytsov, Clément Lefebvre, Anne Goujon

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

2022

LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish.

Cedric Lothritz, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Tegawendé F. Bissyandé, Jacques Klein, Andrey Boytsov, Clément Lefebvre, Anne Goujon

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets.

Yusuf Arslan, Kevin Allix, Clément Lefebvre, Andrey Boytsov, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On the Suitability of SHAP Explanations for Refining Classifications.

Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein

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

Towards Refined Classifications Driven by SHAP Explanations.

Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2020

Search-based adversarial testing and improvement of constrained credit scoring systems.

Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Smart discovery of periodic-frequent human routines for home automation.

Alejandro Sánchez Guinea, Andrey Boytsov, Ludovic Mouline, Yves Le Traon

Proceedings of the MobiQuitous 2019, 2019

2018

Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors.

Alejandro Sánchez Guinea, Andrey Boytsov, Ludovic Mouline, Yves Le Traon

Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2017

Visualizing and Exploring Dynamic High-Dimensional Datasets with LION-tSNE.

Andrey Boytsov, François Fouquet, Thomas Hartmann, Yves Le Traon

CoRR, 2017

The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study.

Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015

Situation Awareness Meets Ontologies: A Context Spaces Case Study.

Andrey Boytsov, Arkady B. Zaslavsky, Elif Eryilmaz, Sahin Albayrak

Proceedings of the Modeling and Using Context, 2015

2014

Structuring and Presenting Lifelogs Based on Location Data.

Basel Kikhia, Andrey Boytsov, Josef Hallberg, Zaheer ul Hussain Sani, Håkan Jonsson, Kåre Synnes

Proceedings of the Pervasive Computing Paradigms for Mental Health, 2014

2013

Situation awareness in pervasive computing systems: reasoning, verification, prediction.

Andrey Boytsov

PhD thesis, 2013

Optimal Placement of Accelerometers for the Detection of Everyday Activities.

Ian Cleland, Basel Kikhia, Chris D. Nugent, Andrey Boytsov, Josef Hallberg, Kåre Synnes, Sally I. McClean, Dewar D. Finlay

Sensors, 2013

Formal verification of context and situation models in pervasive computing.

Andrey Boytsov, Arkady B. Zaslavsky

Pervasive Mob. Comput., 2013

2012

Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest.

Andrey Boytsov, Arkady B. Zaslavsky, Zahraa Said Abdallah

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networking, 2012

2011

ECSTRA - Distributed Context Reasoning Framework for Pervasive Computing Systems.

Andrey Boytsov, Arkady B. Zaslavsky

Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2011

From Sensory Data to Situation Awareness: Enhanced Context Spaces Theory Approach.

Andrey Boytsov, Arkady B. Zaslavsky

Proceedings of the IEEE Ninth International Conference on Dependable, 2011

2010

Context Prediction in Pervasive Computing Systems: Achievements and Challenges.

Andrey Boytsov, Arkady B. Zaslavsky

Proceedings of the Supporting Real Time Decision-Making, 2010

Extending Context Spaces Theory by Proactive Adaptation.

Andrey Boytsov, Arkady B. Zaslavsky

Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2010

2009

Extending Context Spaces Theory by Predicting Run-Time Context.

Andrey Boytsov, Arkady B. Zaslavsky, Kåre Synnes

Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2009