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Thanh Tam Nguyen

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  43
Citations -  474

Thanh Tam Nguyen is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Computer science & Crowdsourcing. The author has an hindex of 9, co-authored 26 publications receiving 256 citations. Previous affiliations of Thanh Tam Nguyen include Leibniz University of Hanover & Ho Chi Minh City University of Technology.

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Proceedings ArticleDOI

Result selection and summarization for Web Table search

Thanh Tam Nguyen, +3 more
TL;DR: This paper formalizes the requirements for effective presentation of results for Web Table search as the diversified table selection problem and the structured table summarization problem, and shows that both problems are computationally intractable and present heuristic algorithms to solve them.
Journal ArticleDOI

Monitoring agriculture areas with satellite images and deep learning

Thanh Tam Nguyen, +6 more
TL;DR: A novel multi-temporal high-spatial resolution classification method with an advanced spatio-tem temporal–spectral deep neural network to locate paddy fields at the pixel level for a whole year long and for each temporal instance is proposed.
Proceedings ArticleDOI

Pay-as-you-go reconciliation in schema matching networks

Quoc Viet Hung Nguyen, +5 more
TL;DR: A probabilistic model is developed that helps to identify the most uncertain correspondences, thus allowing the expert to guide his work and collect his input about the most problematic cases, and can construct a set of good quality correspondences with a high probability, even if the expert does not validate all the necessary correspondences.
Journal ArticleDOI

Argument discovery via crowdsourcing

Quoc Viet Hung Nguyen, +6 more
TL;DR: This paper proposes a crowdsourcing-based approach to build a corpus of arguments, an argumentation base, thereby mediating the trade-off of automatic text-mining and manual processing in argument discovery and develops an end-to-end process that minimizes the crowd cost while maximizing the quality of crowd answers.
Proceedings ArticleDOI

BATC: a benchmark for aggregation techniques in crowdsourcing

Quoc Viet Hung Nguyen, +3 more
TL;DR: A benchmarking tool that allows to simulate the crowd and evaluate aggregate techniques in different aspects (accuracy, sensitivity to spammers, etc.) and will be able to serve as a practical guideline for both researchers and software developers.