| Einoshin Suzuki | Last modified date：2022.07.08 |
Professor /
Intelligent Science Division /
Department of Informatics /
Faculty of Information Science and Electrical Engineering
Presentations
| 1. | Einoshin Suzuki, Multi-Task Data Mining toward Automating the KDD Process, Sixth International Conference on Information Technology and Electrical Engineering (ICITEE 2014) + Regional Conference on Computer and Information Engineering 2014 (RCCIE 2014), 2014.10, [URL]. |
| 2. | Discovering a Partial Decision List for Understanding the Controller of a Reactive Robot , [URL]. |
| 3. | Challenges of Machine Learning-based Autonomous Robotics, [URL]. |
| 4. | Interestingness Measures - Limits, Desiderata, and Recent Results - (keynote talk), [URL]. |
| 5. | Interestingness Measures - Limits, Desiderata, and Recent Results - (keynote talk), [URL]. |
| 6. | Discovery of Structured Exception Rules, [URL]. |
| 7. | , [URL]. |
| 8. | Exception Discovery. |
| 9. | Discovering Interesting Exception Rules with Rule Pair. |
| 10. | Leveraging Value of Information with Exception Discovery. |
| 11. | PrototypeLines: Visual Support for Detecting Interesting Local Patterns from Multi-dimensional Sequence Data. |
| 12. | Data Collection and Preprocessing Face Reality. |
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