Cristóbal Romero
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 11 papers; trusts 28 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 53 citations into it; #16,478 of 35,345 by trust here, #10,667 by citations
- Computer Science Applications — 36 citations into it; #51 of 1,855 by trust here, #88 by citations
- Information Systems — 33 citations into it; #470 of 8,771 by trust here, #727 by citations
- Algorithms & Complexity — 8 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Cristóbal Romero trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Osmar R Zaiane
- Sebastián Ventura
- J. Ross Quinlan
- Ryan Shaun Joazeiro de Baker
- Xin Yao
- George Siemens
- Ron Kohavi
- Albert T. Corbett
- Martin Fodslette Møller
- Pedro G. Espejo
Who trusts Cristóbal Romero overall
- Sebastián Ventura
- Z. Papamitsiou
- Ben Kai Daniel
- Wu He
- Á. F. Agudo-Peregrina
- Ashish Dutt
- Mohamed Amine Chatti
- Rebecca Ferguson
- Anastasios A. Economides
- Alejandro Peña Ayala
Papers from Cristóbal Romero's perspective
Ordered by how strongly the researchers Cristóbal Romero trusts endorse each paper. Same corpus, a different order for every researcher.
- C4.5: Programs for Machine Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Mining association rules between sets of items in large databases
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- ImageNet classification with deep convolutional neural networks
- Some methods for classification and analysis of multivariate observations
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
Their papers
- Data mining in education (2013) — 1,314 citations
- Preface to the special issue on data mining for personalised educational systems (2011) — 13 citations
- Educational data mining: A survey from 1995 to 2005 (2007) — 1,609 citations
- Educational data mining and learning analytics: An updated survey (2020) — 960 citations
- Web usage mining for predicting final marks of students that use Moodle courses (2013) — 306 citations
- Predicting students' final performance from participation in on-line discussion forums (2013) — 564 citations
- Handbook of Educational Data Mining (2010) — 456 citations
- Educational Data Mining: A Review of the State of the Art (2010) — 2,096 citations
- KEEL: a software tool to assess evolutionary algorithms for data mining problems (2008) — 1,515 citations
- Data mining in course management systems: Moodle case study and tutorial (2008) — 1,180 citations
- Data Mining Algorithms to Classify Students (2008) — 438 citations