Alex Bogatu

Orcid: 0000-0003-1604-5097

According to our database1, Alex Bogatu authored at least 17 papers between 2017 and 2024.

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Bibliography

2024
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions.
CoRR, 2024

2023
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy.
J. Biomed. Informatics, June, 2023

Transformers, Tables and Frame Semantics.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

2022
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives.
CoRR, 2022

Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy.
CoRR, 2022

Towards Schema Inference for Data Lakes.
CoRR, 2022

Voyager: Data Discovery and Integration for Onboarding in Data Science.
Proceedings of the 25th International Conference on Extending Database Technology, 2022

2021
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling.
IEEE Trans. Big Data, 2021

Cost-effective Variational Active Entity Resolution.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes.
Proceedings of the Semantic Web - 18th International Conference, 2021

2020
Cost-effective data wrangling in data lakes.
PhD thesis, 2020

Dataset Discovery in Data Lakes.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
VADA: an architecture for end user informed data preparation.
J. Big Data, 2019

Towards Automatic Data Format Transformations: Data Wrangling at Scale.
Comput. J., 2019

SynthEdit: Format transformations by example using edit operations.
Proceedings of the Advances in Database Technology, 2019

2017
Towards Automatic Data Format Transformations: Data Wrangling at Scale.
Proceedings of the Data Analytics - 31st British International Conference on Databases, 2017

Data context informed data wrangling.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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