Javier Israel Mata-Sánchez
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
Whom Javier Israel Mata-Sánchez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Javier Israel Mata-Sánchez overall
Papers from Javier Israel Mata-Sánchez's perspective
Ordered by how strongly the researchers Javier Israel Mata-Sánchez trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Random Forests
- Statistical Comparisons of Classifiers over Multiple Data Sets
- Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
- Uncovering social network sybils in the wild (ACM/SIGCOMM Internet Measurement Conference)
- Instance-Based Learning Algorithms
- Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation (IEEE Transactions on Neural Networks and Learning Systems)
- Uncovering social spammers: social honeypots + machine learning
- Experiments with a New Boosting Algorithm
- BotOrNot: A System to Evaluate Social Bots (The Web Conference)
Their papers
- Contrast Pattern-Based Classification for Bot Detection on Twitter (2019) — 65 citations