# Mark Craven

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mark-craven/

## Facts

| Field | Value |
| --- | --- |
| Citations | 10,300 |
| Field | Bioinformatics and Genomic Networks |
| h-index | 48 |
| i10-index | 90 |
| Last Known Institution | University of Wisconsin–Madison |
| OpenAlex ID | https://openalex.org/A5071722704 |
| ORCID iD | 0000-0002-8917-7464 |
| Works | 157 |

## Researcher papers

- [An analysis of active learning strategies for sequence labeling tasks](https://scholariq.org/papers/an-analysis-of-active-learning-strategies-for-sequence-labeling-tasks/)
- [Learning to extract symbolic knowledge from the World Wide Web](https://scholariq.org/papers/learning-to-extract-symbolic-knowledge-from-the-world-wide-web/)
- [Constructing biological knowledge bases by extracting information from text sources.](https://scholariq.org/papers/constructing-biological-knowledge-bases-by-extracting-information-from-text/)
- [Extracting Tree-Structured Representations of Trained Networks](https://scholariq.org/papers/extracting-tree-structured-representations-of-trained-networks/)
- [Learning to construct knowledge bases from the World Wide Web](https://scholariq.org/papers/learning-to-construct-knowledge-bases-from-the-world-wide-web/)
- [Multiple-Instance Active Learning](https://scholariq.org/papers/multiple-instance-active-learning/)
- [Incorporating domain knowledge into topic modeling via Dirichlet Forest priors](https://scholariq.org/papers/incorporating-domain-knowledge-into-topic-modeling-via-dirichlet-forest-priors/)
- [Using Sampling and Queries to Extract Rules from Trained Neural Networks](https://scholariq.org/papers/using-sampling-and-queries-to-extract-rules-from-trained-neural-networks/)
- [Using neural networks for data mining](https://scholariq.org/papers/using-neural-networks-for-data-mining/)
- [Identification of toxicologically predictive gene sets using cDNA microarrays](https://scholariq.org/papers/identification-of-toxicologically-predictive-gene-sets-using-cdna-microarrays/)
- [Quantifying technical skills during open operations using video-based motion analysis](https://scholariq.org/papers/quantifying-technical-skills-during-open-operations-using-video-based-motion/)

## Researcher topics

- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Allergic Rhinitis and Sensitization](https://scholariq.org/topics/allergic-rhinitis-and-sensitization/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Asthma and respiratory diseases](https://scholariq.org/topics/asthma-and-respiratory-diseases/)

## Researcher university

- [University of Wisconsin–Madison](https://scholariq.org/institutions/university-of-wisconsin-madison/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.