Vol-2644
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Volume
| Volume | |
|---|---|
 edit
| |
| number | 2644 |
| acronym | |
| wikidataid | →Q113542553 |
| title | RuleML+RR 2020
International Rule Challenge, Doctoral Consortium, and Industry Track |
| description | |
| url | |
| date | |
| dblp | → |
| k10plus | →1733826718 |
| urn | →urn:nbn:de:0074-2644-0 |
sessions
| Session | |
|---|---|
| title | Part 1: Rule Challenge @ RuleML+RR 2020 |
| volume | Vol-2644 |
| Session | |
|---|---|
| title | Part 2: Doctoral Consortium @ RuleML+RR 2020 |
| volume | Vol-2644 |
| Session | |
|---|---|
| title | Part 3: Industry Track @ RuleML+RR 2020 |
| volume | Vol-2644 |
papers
| Paper | |
|---|---|
| description | |
| id | Vol-2644/paper35 |
| wikidataid | → |
| title | Using PROVA-Rule Engine as Dispatching-Service for FHIR-Observation-Resources |
| pdfUrl | http://ceur-ws.org/Vol-2644/paper35.pdf |
| dblpUrl | |
| volume | Vol-2644→ |
| session | → |
| Paper | |
|---|---|
| description | |
| id | Vol-2644/paper44 |
| wikidataid | → |
| title | One-Shot Rule Learning for Challenging Character Recognition |
| pdfUrl | http://ceur-ws.org/Vol-2644/paper44.pdf |
| dblpUrl | |
| volume | Vol-2644→ |
| session | → |
| Paper | |
|---|---|
| description | |
| id | Vol-2644/paper36 |
| wikidataid | → |
| title | Action Rules: Counterfactual Explanations in Python (winner of the 14th Rule Challenge 2020 competition) |
| pdfUrl | http://ceur-ws.org/Vol-2644/paper36.pdf |
| dblpUrl | |
| volume | Vol-2644→ |
| session | → |