Andrey Boytsov

Orcid: 0000-0003-1166-5908

Affiliations:
  • University of Luxembourg, Luxembourg


According to our database1, Andrey Boytsov authored at least 23 papers between 2009 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Enhancing Text-to-SQL Translation for Financial System Design.
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.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Comparing Pre-Training Schemes for Luxembourgish BERT Models.
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.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Exploiting Prototypical Explanations for Undersampling Imbalanced Datasets.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On the Suitability of SHAP Explanations for Refining Classifications.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Refined Classifications Driven by SHAP Explanations.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

2020
Search-based adversarial testing and improvement of constrained credit scoring systems.
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.
Proceedings of the MobiQuitous 2019, 2019

2018
Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors.
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.
CoRR, 2017

The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2015
Situation Awareness Meets Ontologies: A Context Spaces Case Study.
Proceedings of the Modeling and Using Context, 2015

2014
Structuring and Presenting Lifelogs Based on Location Data.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2014

2013
Situation awareness in pervasive computing systems: reasoning, verification, prediction.
PhD thesis, 2013

Optimal Placement of Accelerometers for the Detection of Everyday Activities.
Sensors, 2013

Formal verification of context and situation models in pervasive computing.
Pervasive Mob. Comput., 2013

2012
Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networking, 2012

2011
ECSTRA - Distributed Context Reasoning Framework for Pervasive Computing Systems.
Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2011

From Sensory Data to Situation Awareness: Enhanced Context Spaces Theory Approach.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

2010
Context Prediction in Pervasive Computing Systems: Achievements and Challenges.
Proceedings of the Supporting Real Time Decision-Making, 2010

Extending Context Spaces Theory by Proactive Adaptation.
Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2010

2009
Extending Context Spaces Theory by Predicting Run-Time Context.
Proceedings of the Smart Spaces and Next Generation Wired/Wireless Networking, 2009


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