Jude Shavlik
- Artificial Intelligence top 0.1%
- Information Systems top 0.5%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Geoffrey G. TowellMark CravenDavid W. OpitzRaymond J. MooneyRichard MaclinMichiel NoordewierFeng NiuThomas G. Dietterich
- Topics
- Neural Networks and Applications (30 papers)Machine Learning and Algorithms (21 papers)Data Mining Algorithms and Applications (19 papers)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
Jude Shavlik
145 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 4.8k
- Information Systems 1.2k
- Computational Theory and Mathematics 866
- Molecular Biology 845
- Computer Vision and Pattern Recognition 666
Countries citing papers authored by Jude Shavlik
This map shows the geographic impact of Jude Shavlik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jude Shavlik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jude Shavlik more than expected).
Fields of papers citing papers by Jude Shavlik
This network shows the impact of papers produced by Jude Shavlik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jude Shavlik. The network helps show where Jude Shavlik may publish in the future.
Co-authorship network of co-authors of Jude Shavlik
This figure shows the co-authorship network connecting the top 25 collaborators of Jude Shavlik. A scholar is included among the top collaborators of Jude Shavlik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jude Shavlik. Jude Shavlik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Big Data versus the Crowd: Looking for Relationships in All the Right Places | 29 |
| 2 | 90 | |
| 3 | Boosting relational dependency networks | 6 |
| 4 | Advice Taking and Transfer Learning: Naturally Inspired Extensions to Reinforcement Learning. | 1 |
| 5 | 19 | |
| 6 | A simple and effective method for incorporating advice into kernel methods | 8 |
| 7 | View learning for statistical relational learning: with an application to mammography | 27 |
| 8 | Pictorial Structures for Molecular Modeling: Interpreting Density Maps | 2 |
| 9 | A Theory-Refinement Approach to Information Extraction | 10 |
| 10 | Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes | 3 |
| 11 | Rapid Quality Estimation of Neural Network Input Representations | 2 |
| 12 | Incorporating advice into agents that learn from reinforcements | 25 |
| 13 | Learning to Represent Codons: A Challenge Problem for Constructive Induction. | 8 |
| 14 | Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules | 52 |
| 15 | Case-Based Reasoning with Noisy Case Boundaries: An Application in Molecular Biology | 1 |
| 16 | Refinement of approximate domain theories by knowledge-based neural networks | 256 |
| 17 | Training Knowledge-Based Neural Networks to Recognize Genes. | 12 |
| 18 | Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences | 90 |
| 19 | Acquiring recursive concepts with explanation-based learning | 6 |
| 20 | An explanation-based approach to generalizing number | 14 |
About Jude Shavlik
Jude Shavlik is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 153 papers that have together received 6.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (30 papers), Machine Learning and Algorithms (21 papers) and Data Mining Algorithms and Applications (19 papers). The work is most often cited by research in Artificial Intelligence (4.8k citations), Computational Theory and Mathematics (866 citations) and Information Systems (1.2k citations). Jude Shavlik has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Geoffrey G. Towell, Mark Craven, David W. Opitz, Raymond J. Mooney, Richard Maclin, Michiel Noordewier, Feng Niu, Thomas G. Dietterich, Sriraam Natarajan and Jeremy Goecks. Their work appears in journals such as Bioinformatics, Cancer and Information Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.