Armando López-Cuevas
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
Whom Armando López-Cuevas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Armando López-Cuevas overall
Papers from Armando López-Cuevas's perspective
Ordered by how strongly the researchers Armando López-Cuevas trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Bagging Predictors
- Statistical Comparisons of Classifiers over Multiple Data Sets
- Experiments with a New Boosting Algorithm
- Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)
- Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation (IEEE Transactions on Neural Networks and Learning Systems)
- Instance-Based Learning Algorithms
- Uncovering social network sybils in the wild (ACM/SIGCOMM Internet Measurement Conference)
- Uncovering social spammers: social honeypots + machine learning
- The WEKA data mining software: an update
Their papers
- Fusing pattern discovery and visual analytics approaches in tweet propagation (2019) — 30 citations
- Contrast Pattern-Based Classification for Bot Detection on Twitter (2019) — 65 citations