--- _id: '10263' citation: ama: 'Kaminka GA, Fox M, Bouquet P, et al., eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol 285. The Hague, The Netherlands: IOS Press; 2016.' apa: 'Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F., & van Harmelen, F. (Eds.). (2016). ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence (Vol. 285). The Hague, The Netherlands: IOS Press.' bibtex: '@book{Kaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016, place={The Hague, The Netherlands}, series={Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands}, title={ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence}, volume={285}, publisher={IOS Press}, year={2016}, collection={Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands} }' chicago: 'Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016.' ieee: 'G. A. Kaminka et al., Eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence, vol. 285. The Hague, The Netherlands: IOS Press, 2016.' mla: Kaminka, G. A., et al., editors. ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence. Vol. 285, IOS Press, 2016. short: G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS Press, The Hague, The Netherlands, 2016. date_created: 2019-06-18T15:07:10Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: G.A. full_name: Kaminka, G.A. last_name: Kaminka - first_name: M. full_name: Fox, M. last_name: Fox - first_name: P. full_name: Bouquet, P. last_name: Bouquet - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: V. full_name: Dignum, V. last_name: Dignum - first_name: F. full_name: Dignum, F. last_name: Dignum - first_name: F. full_name: van Harmelen, F. last_name: van Harmelen intvolume: ' 285' language: - iso: eng place: The Hague, The Netherlands publisher: IOS Press series_title: Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands status: public title: ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence type: conference_editor user_id: '49109' volume: 285 year: '2016' ... --- _id: '10264' author: - first_name: M. full_name: Leinweber, M. last_name: Leinweber - first_name: T. full_name: Fober, T. last_name: Fober - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: L. full_name: Baumgärtner, L. last_name: Baumgärtner - first_name: G. full_name: Klebe, G. last_name: Klebe - first_name: B. full_name: Freisleben, B. last_name: Freisleben - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering. 2016;28(6):1423-1434.' apa: 'Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben, B., & Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison of protein binding sites. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1423–1434.' bibtex: '@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016, title={CavSimBase: A database for large scale comparison of protein binding sites}, volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering}, author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434} }' chicago: 'Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering 28, no. 6 (2016): 1423–34.' ieee: 'M. Leinweber et al., “CavSimBase: A database for large scale comparison of protein binding sites,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, pp. 1423–1434, 2016.' mla: 'Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 6, 2016, pp. 1423–34.' short: M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434. date_created: 2019-06-18T15:29:05Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 28' issue: '6' language: - iso: eng page: 1423-1434 publication: IEEE Transactions on Knowledge and Data Engineering status: public title: 'CavSimBase: A database for large scale comparison of protein binding sites' type: journal_article user_id: '49109' volume: 28 year: '2016' ... --- _id: '10266' author: - first_name: M. full_name: Riemenschneider, M. last_name: Riemenschneider - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: U. full_name: Neumann, U. last_name: Neumann - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: D. full_name: Heider, D. last_name: Heider citation: ama: Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining. 2016;9(10). apa: Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., & Heider, D. (2016). Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Mining, 9(10). bibtex: '@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification}, volume={9}, number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge, Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }' chicago: Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining 9, no. 10 (2016). ieee: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification,” BioData Mining, vol. 9, no. 10, 2016. mla: Riemenschneider, M., et al. “Exploiting HIV-1 Protease and Reverse Transcriptase Cross-Resistance Information for Improved Drug Resistance Prediction by Means of Multi-Label Classification.” BioData Mining, vol. 9, no. 10, 2016. short: M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData Mining 9 (2016). date_created: 2019-06-18T15:37:19Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 9' issue: '10' language: - iso: eng publication: BioData Mining status: public title: Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification type: journal_article user_id: '49109' volume: 9 year: '2016' ... --- _id: '280' abstract: - lang: eng text: The Collaborative Research Centre "On-The-Fly Computing" works on foundations and principles for the vision of the Future Internet. It proposes the paradigm of On-The-Fly Computing, which tackles emerging worldwide service markets. In these markets, service providers trade software, platform, and infrastructure as a service. Service requesters state requirements on services. To satisfy these requirements, the new role of brokers, who are (human) actors building service compositions on the fly, is introduced. Brokers have to specify service compositions formally and comprehensively using a domain-specific language (DSL), and to use service matching for the discovery of the constituent services available in the market. The broker's choice of the DSL and matching approaches influences her success of building compositions as distinctive properties of different service markets play a significant role. In this paper, we propose a new approach of engineering a situation-specific DSL by customizing a comprehensive, modular DSL and its matching for given service market properties. This enables the broker to create market-specific composition specifications and to perform market-specific service matching. As a result, the broker builds service compositions satisfying the requester's requirements more accurately. We evaluated the presented concepts using case studies in service markets for tourism and university management. author: - first_name: Svetlana full_name: Arifulina, Svetlana last_name: Arifulina - first_name: Marie Christin full_name: Platenius, Marie Christin last_name: Platenius - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Gregor full_name: Engels, Gregor id: '107' last_name: Engels - first_name: Wilhelm full_name: Schäfer, Wilhelm last_name: Schäfer citation: ama: 'Arifulina S, Platenius MC, Mohr F, Engels G, Schäfer W. Market-Specific Service Compositions: Specification and Matching. In: Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet. ; 2015:333--340. doi:10.1109/SERVICES.2015.58' apa: 'Arifulina, S., Platenius, M. C., Mohr, F., Engels, G., & Schäfer, W. (2015). Market-Specific Service Compositions: Specification and Matching. In Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet (pp. 333--340). https://doi.org/10.1109/SERVICES.2015.58' bibtex: '@inproceedings{Arifulina_Platenius_Mohr_Engels_Schäfer_2015, title={Market-Specific Service Compositions: Specification and Matching}, DOI={10.1109/SERVICES.2015.58}, booktitle={Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet}, author={Arifulina, Svetlana and Platenius, Marie Christin and Mohr, Felix and Engels, Gregor and Schäfer, Wilhelm}, year={2015}, pages={333--340} }' chicago: 'Arifulina, Svetlana, Marie Christin Platenius, Felix Mohr, Gregor Engels, and Wilhelm Schäfer. “Market-Specific Service Compositions: Specification and Matching.” In Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet, 333--340, 2015. https://doi.org/10.1109/SERVICES.2015.58.' ieee: 'S. Arifulina, M. C. Platenius, F. Mohr, G. Engels, and W. Schäfer, “Market-Specific Service Compositions: Specification and Matching,” in Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340.' mla: 'Arifulina, Svetlana, et al. “Market-Specific Service Compositions: Specification and Matching.” Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340, doi:10.1109/SERVICES.2015.58.' short: 'S. Arifulina, M.C. Platenius, F. Mohr, G. Engels, W. Schäfer, in: Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet, 2015, pp. 333--340.' date_created: 2017-10-17T12:41:46Z date_updated: 2022-01-06T06:57:49Z ddc: - '040' department: - _id: '66' - _id: '76' - _id: '355' doi: 10.1109/SERVICES.2015.58 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-21T09:26:04Z date_updated: 2018-03-21T09:26:04Z file_id: '1470' file_name: 280-07196546.pdf file_size: 234260 relation: main_file success: 1 file_date_updated: 2018-03-21T09:26:04Z has_accepted_license: '1' language: - iso: eng page: 333--340 project: - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subprojekt B1 - _id: '10' name: SFB 901 - Subproject B2 - _id: '3' name: SFB 901 - Project Area B publication: 'Proceedings of the IEEE 11th World Congress on Services (SERVICES), Visionary Track: Service Composition for the Future Internet' status: public title: 'Market-Specific Service Compositions: Specification and Matching' type: conference user_id: '477' year: '2015' ... --- _id: '323' abstract: - lang: eng text: On-the-fly composition of service-based software solutions is still a challenging task. Even more challenges emerge when facing automatic service composition in markets of composed services for end users. In this paper, we focus on the functional discrepancy between “what a user wants” specified in terms of a request and “what a user gets” when executing a composed service. To meet the challenge of functional discrepancy, we propose the combination of existing symbolic composition approaches with machine learning techniques. We developed a learning recommendation system that expands the capabilities of existing composition algorithms to facilitate adaptivity and consequently reduces functional discrepancy. As a representative of symbolic techniques, an Artificial Intelligence planning based approach produces solutions that are correct with respect to formal specifications. Our learning recommendation system supports the symbolic approach in decision-making. Reinforcement Learning techniques enable the recommendation system to adjust its recommendation strategy over time based on user ratings. We implemented the proposed functionality in terms of a prototypical composition framework. Preliminary results from experiments conducted in the image processing domain illustrate the benefit of combining both complementary techniques. author: - first_name: Alexander full_name: Jungmann, Alexander last_name: Jungmann - first_name: Felix full_name: Mohr, Felix last_name: Mohr citation: ama: Jungmann A, Mohr F. An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications. 2015;(1):1-18. doi:10.1186/s13174-015-0022-8 apa: Jungmann, A., & Mohr, F. (2015). An approach towards adaptive service composition in markets of composed services. Journal of Internet Services and Applications, (1), 1–18. https://doi.org/10.1186/s13174-015-0022-8 bibtex: '@article{Jungmann_Mohr_2015, title={An approach towards adaptive service composition in markets of composed services}, DOI={10.1186/s13174-015-0022-8}, number={1}, journal={Journal of Internet Services and Applications}, publisher={Springer}, author={Jungmann, Alexander and Mohr, Felix}, year={2015}, pages={1–18} }' chicago: 'Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service Composition in Markets of Composed Services.” Journal of Internet Services and Applications, no. 1 (2015): 1–18. https://doi.org/10.1186/s13174-015-0022-8.' ieee: A. Jungmann and F. Mohr, “An approach towards adaptive service composition in markets of composed services,” Journal of Internet Services and Applications, no. 1, pp. 1–18, 2015. mla: Jungmann, Alexander, and Felix Mohr. “An Approach towards Adaptive Service Composition in Markets of Composed Services.” Journal of Internet Services and Applications, no. 1, Springer, 2015, pp. 1–18, doi:10.1186/s13174-015-0022-8. short: A. Jungmann, F. Mohr, Journal of Internet Services and Applications (2015) 1–18. date_created: 2017-10-17T12:41:55Z date_updated: 2022-01-06T06:59:06Z ddc: - '040' department: - _id: '355' doi: 10.1186/s13174-015-0022-8 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-20T07:39:17Z date_updated: 2018-03-20T07:39:17Z file_id: '1429' file_name: 323-An_approach_towards_adaptive_service_composition_in_markets_of_composed_services.pdf file_size: 2842281 relation: main_file success: 1 file_date_updated: 2018-03-20T07:39:17Z has_accepted_license: '1' issue: '1' language: - iso: eng page: 1-18 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Journal of Internet Services and Applications publisher: Springer status: public title: An approach towards adaptive service composition in markets of composed services type: journal_article user_id: '477' year: '2015' ... --- _id: '324' abstract: - lang: eng text: Services are self-contained software components that can beused platform independent and that aim at maximizing software reuse. Abasic concern in service oriented architectures is to measure the reusabilityof services. One of the most important qualities is the functionalreusability, which indicates how relevant the task is that a service solves.Current metrics for functional reusability of software, however, have verylittle explanatory power and do not accomplish this goal.This paper presents a new approach to estimate the functional reusabilityof services based on their relevance. To this end, it denes the degreeto which a service enables the execution of other services as its contri-bution. Based on the contribution, relevance of services is dened as anestimation for their functional reusability. Explanatory power is obtainedby normalizing relevance values with a reference service. The applicationof the metric to a service test set conrms its supposed capabilities. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr citation: ama: 'Mohr F. A Metric for Functional Reusability of Services. In: Proceedings of the 14th International Conference on Software Reuse (ICSR). LNCS. ; 2015:298--313. doi:10.1007/978-3-319-14130-5_21' apa: Mohr, F. (2015). A Metric for Functional Reusability of Services. In Proceedings of the 14th International Conference on Software Reuse (ICSR) (pp. 298--313). https://doi.org/10.1007/978-3-319-14130-5_21 bibtex: '@inproceedings{Mohr_2015, series={LNCS}, title={A Metric for Functional Reusability of Services}, DOI={10.1007/978-3-319-14130-5_21}, booktitle={Proceedings of the 14th International Conference on Software Reuse (ICSR)}, author={Mohr, Felix}, year={2015}, pages={298--313}, collection={LNCS} }' chicago: Mohr, Felix. “A Metric for Functional Reusability of Services.” In Proceedings of the 14th International Conference on Software Reuse (ICSR), 298--313. LNCS, 2015. https://doi.org/10.1007/978-3-319-14130-5_21. ieee: F. Mohr, “A Metric for Functional Reusability of Services,” in Proceedings of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313. mla: Mohr, Felix. “A Metric for Functional Reusability of Services.” Proceedings of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313, doi:10.1007/978-3-319-14130-5_21. short: 'F. Mohr, in: Proceedings of the 14th International Conference on Software Reuse (ICSR), 2015, pp. 298--313.' date_created: 2017-10-17T12:41:55Z date_updated: 2022-01-06T06:59:07Z ddc: - '040' department: - _id: '355' doi: 10.1007/978-3-319-14130-5_21 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-20T07:38:44Z date_updated: 2018-03-20T07:38:44Z file_id: '1428' file_name: 324-ICSR-Mohr-15.pdf file_size: 569475 relation: main_file success: 1 file_date_updated: 2018-03-20T07:38:44Z has_accepted_license: '1' language: - iso: eng page: 298--313 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 14th International Conference on Software Reuse (ICSR) series_title: LNCS status: public title: A Metric for Functional Reusability of Services type: conference user_id: '477' year: '2015' ... --- _id: '319' abstract: - lang: eng text: Services are self-contained and platform independent software components that aim at maximizing software reuse. The automated composition of services to a target software artifact has been tackled with many AI techniques, but existing approaches make unreasonably strong assumptions such as a predefined data flow, are limited to tiny problem sizes, ignore non-functional properties, or assume offline service repositories. This paper presents an algorithm that automatically composes services without making such assumptions. We employ a backward search algorithm that starts from an empty composition and prepends service calls to already discovered candidates until a solution is found. Available services are determined during the search process. We implemented our algorithm, performed an experimental evaluation, and compared it to other approaches. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Alexander full_name: Jungmann, Alexander last_name: Jungmann - first_name: Hans full_name: Kleine Büning, Hans last_name: Kleine Büning citation: ama: 'Mohr F, Jungmann A, Kleine Büning H. Automated Online Service Composition. In: Proceedings of the 12th IEEE International Conference on Services Computing (SCC). ; 2015:57--64. doi:10.1109/SCC.2015.18' apa: Mohr, F., Jungmann, A., & Kleine Büning, H. (2015). Automated Online Service Composition. In Proceedings of the 12th IEEE International Conference on Services Computing (SCC) (pp. 57--64). https://doi.org/10.1109/SCC.2015.18 bibtex: '@inproceedings{Mohr_Jungmann_Kleine Büning_2015, title={Automated Online Service Composition}, DOI={10.1109/SCC.2015.18}, booktitle={Proceedings of the 12th IEEE International Conference on Services Computing (SCC)}, author={Mohr, Felix and Jungmann, Alexander and Kleine Büning, Hans}, year={2015}, pages={57--64} }' chicago: Mohr, Felix, Alexander Jungmann, and Hans Kleine Büning. “Automated Online Service Composition.” In Proceedings of the 12th IEEE International Conference on Services Computing (SCC), 57--64, 2015. https://doi.org/10.1109/SCC.2015.18. ieee: F. Mohr, A. Jungmann, and H. Kleine Büning, “Automated Online Service Composition,” in Proceedings of the 12th IEEE International Conference on Services Computing (SCC), 2015, pp. 57--64. mla: Mohr, Felix, et al. “Automated Online Service Composition.” Proceedings of the 12th IEEE International Conference on Services Computing (SCC), 2015, pp. 57--64, doi:10.1109/SCC.2015.18. short: 'F. Mohr, A. Jungmann, H. Kleine Büning, in: Proceedings of the 12th IEEE International Conference on Services Computing (SCC), 2015, pp. 57--64.' date_created: 2017-10-17T12:41:54Z date_updated: 2022-01-06T06:59:04Z ddc: - '040' department: - _id: '355' doi: 10.1109/SCC.2015.18 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-20T07:42:03Z date_updated: 2018-03-20T07:42:03Z file_id: '1434' file_name: 319-07207336.pdf file_size: 345742 relation: main_file success: 1 file_date_updated: 2018-03-20T07:42:03Z has_accepted_license: '1' language: - iso: eng page: 57--64 project: - _id: '1' name: SFB 901 - _id: '10' name: SFB 901 - Subprojekt B2 - _id: '3' name: SFB 901 - Project Area B publication: Proceedings of the 12th IEEE International Conference on Services Computing (SCC) status: public title: Automated Online Service Composition type: conference user_id: '477' year: '2015' ... --- _id: '4792' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. doi:10.1109/tfuzz.2015.2396078 apa: Senge, R., & Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning for Classification. IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033. https://doi.org/10.1109/tfuzz.2015.2396078 bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning for Classification}, volume={23}, DOI={10.1109/tfuzz.2015.2396078}, number={6}, journal={IEEE Transactions on Fuzzy Systems}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033} }' chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33. https://doi.org/10.1109/tfuzz.2015.2396078.' ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning for Classification,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015. mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification.” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, Institute of Electrical and Electronics Engineers (IEEE), 2015, pp. 2024–33, doi:10.1109/tfuzz.2015.2396078. short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033. date_created: 2018-10-22T06:53:37Z date_updated: 2022-01-06T07:01:22Z ddc: - '000' department: - _id: '355' doi: 10.1109/tfuzz.2015.2396078 file: - access_level: closed content_type: application/pdf creator: ups date_created: 2018-11-02T15:53:23Z date_updated: 2018-11-02T15:53:23Z file_id: '5316' file_name: 07018950.pdf file_size: 732827 relation: main_file success: 1 file_date_updated: 2018-11-02T15:53:23Z has_accepted_license: '1' intvolume: ' 23' issue: '6' language: - iso: eng page: 2024-2033 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 publication: IEEE Transactions on Fuzzy Systems publication_identifier: issn: - 1063-6706 - 1941-0034 publication_status: published publisher: Institute of Electrical and Electronics Engineers (IEEE) status: public title: Fast Fuzzy Pattern Tree Learning for Classification type: journal_article user_id: '49109' volume: 23 year: '2015' ... --- _id: '15406' author: - first_name: D. full_name: Schäfer, D. last_name: Schäfer - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Schäfer D, Hüllermeier E. Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations. In: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal. ; 2015:110-111.' apa: 'Schäfer, D., & Hüllermeier, E. (2015). Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations. In in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal (pp. 110–111).' bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations}, booktitle={in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal}, author={Schäfer, D. and Hüllermeier, Eyke}, year={2015}, pages={110–111} }' chicago: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 110–11, 2015.' ieee: 'D. Schäfer and E. Hüllermeier, “Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations,” in in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.' mla: 'Schäfer, D., and Eyke Hüllermeier. “Preference-Based Meta-Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 2015, pp. 110–11.' short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection Co-Located ECML/PKDD, Porto, Portugal, 2015, pp. 110–111.' date_created: 2019-12-19T16:52:09Z date_updated: 2022-01-06T06:52:23Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 110-111 publication: in Proceedings of the 2015 international Workshop on Meta-Learning and Algorithm Selection co-located ECML/PKDD, Porto, Portugal status: public title: 'Preference-based meta-learning using dyad ranking: Recommending algorithms in cold-start situations' type: conference user_id: '49109' year: '2015' ... --- _id: '15749' author: - first_name: Adil full_name: Paul, Adil last_name: Paul - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Paul A, Hüllermeier E. A cbr approach to the angry birds game. In: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany. ; 2015:68-77.' apa: Paul, A., & Hüllermeier, E. (2015). A cbr approach to the angry birds game. In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany (pp. 68–77). bibtex: '@inproceedings{Paul_Hüllermeier_2015, title={A cbr approach to the angry birds game}, booktitle={In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany}, author={Paul, Adil and Hüllermeier, Eyke}, year={2015}, pages={68–77} }' chicago: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.” In In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 68–77, 2015. ieee: A. Paul and E. Hüllermeier, “A cbr approach to the angry birds game,” in In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77. mla: Paul, Adil, and Eyke Hüllermeier. “A Cbr Approach to the Angry Birds Game.” In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77. short: 'A. Paul, E. Hüllermeier, in: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany, 2015, pp. 68–77.' date_created: 2020-02-03T14:07:45Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 68-77 publication: In Workshop Proceedings from ICCBR, 23rd International Conference on Case-Based Reasoning, Frankfurt, Germany status: public title: A cbr approach to the angry birds game type: conference user_id: '49109' year: '2015' ... --- _id: '15750' author: - first_name: R. full_name: Ewerth, R. last_name: Ewerth - first_name: A. full_name: Balz, A. last_name: Balz - first_name: J. full_name: Gehlhaar, J. last_name: Gehlhaar - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation in monocular images: Quantitative versus qualitative approaches. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany. KIT Scientific Publishing; 2015:235-240.' apa: 'Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., & Hüllermeier, E. (2015). Depth estimation in monocular images: Quantitative versus qualitative approaches. In F. Hoffmann & E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany (pp. 235–240). KIT Scientific Publishing.' bibtex: '@inproceedings{Ewerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title={Depth estimation in monocular images: Quantitative versus qualitative approaches}, booktitle={In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany}, publisher={KIT Scientific Publishing}, author={Ewerth, R. and Balz, A. and Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2015}, pages={235–240} }' chicago: 'Ewerth, R., A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, 235–40. KIT Scientific Publishing, 2015.' ieee: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth estimation in monocular images: Quantitative versus qualitative approaches,” in In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, 2015, pp. 235–240.' mla: 'Ewerth, R., et al. “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.” In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2015, pp. 235–40.' short: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany, KIT Scientific Publishing, 2015, pp. 235–240.' date_created: 2020-02-03T14:12:59Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier language: - iso: eng page: 235-240 publication: In Proceedings 25. Workshop Computational Intelligence, Dortmund, Germany publisher: KIT Scientific Publishing status: public title: 'Depth estimation in monocular images: Quantitative versus qualitative approaches' type: conference user_id: '49109' year: '2015' ... --- _id: '15751' author: - first_name: S. full_name: Lu, S. last_name: Lu - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2015:97-104.' apa: Lu, S., & Hüllermeier, E. (2015). Locally weighted regression through data imprecisiation. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany (pp. 97–104). KIT Scientific Publishing. bibtex: '@inproceedings{Lu_Hüllermeier_2015, title={Locally weighted regression through data imprecisiation}, booktitle={in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Lu, S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2015}, pages={97–104} }' chicago: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 97–104. KIT Scientific Publishing, 2015. ieee: S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,” in in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, 2015, pp. 97–104. mla: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.” In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2015, pp. 97–104. short: 'S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 25th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2015, pp. 97–104.' date_created: 2020-02-03T14:16:31Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' editor: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier language: - iso: eng page: 97-104 publication: in Proceedings 25th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Locally weighted regression through data imprecisiation type: conference user_id: '49109' year: '2015' ... --- _id: '16049' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Senge R, Hüllermeier E. Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems. 2015;23(6):2024-2033. apa: Senge, R., & Hüllermeier, E. (2015). Fast fuzzy pattern tree learning for classification . IEEE Transactions on Fuzzy Systems, 23(6), 2024–2033. bibtex: '@article{Senge_Hüllermeier_2015, title={Fast fuzzy pattern tree learning for classification }, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033} }' chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification .” IEEE Transactions on Fuzzy Systems 23, no. 6 (2015): 2024–33.' ieee: R. Senge and E. Hüllermeier, “Fast fuzzy pattern tree learning for classification ,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 2024–2033, 2015. mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning for Classification .” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, 2015, pp. 2024–33. short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033. date_created: 2020-02-24T16:15:47Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 23' issue: '6' language: - iso: eng page: 2024-2033 publication: IEEE Transactions on Fuzzy Systems status: public title: 'Fast fuzzy pattern tree learning for classification ' type: journal_article user_id: '49109' volume: 23 year: '2015' ... --- _id: '16051' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum. 2015;38(6):500-509.' apa: 'Hüllermeier, E. (2015). From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions. Informatik Spektrum, 38(6), 500–509.' bibtex: '@article{Hüllermeier_2015, title={From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions}, volume={38}, number={6}, journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509} }' chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development, Criticism and Alternative Directions.” Informatik Spektrum 38, no. 6 (2015): 500–509.' ieee: 'E. Hüllermeier, “From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions,” Informatik Spektrum, vol. 38, no. 6, pp. 500–509, 2015.' mla: 'Hüllermeier, Eyke. “From Knowledge-Based to Data Driven Fuzzy Modeling: Development, Criticism and Alternative Directions.” Informatik Spektrum, vol. 38, no. 6, 2015, pp. 500–09.' short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509. date_created: 2020-02-24T16:19:25Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 38' issue: '6' language: - iso: eng page: 500-509 publication: Informatik Spektrum status: public title: 'From knowledge-based to data driven fuzzy modeling: Development, criticism and alternative directions' type: journal_article user_id: '49109' volume: 38 year: '2015' ... --- _id: '16053' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Hüllermeier E. Does machine learning need fuzzy logic? Fuzzy Sets and Systems. 2015;281:292-299. apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? Fuzzy Sets and Systems, 281, 292–299. bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?}, volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015}, pages={292–299} }' chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems 281 (2015): 292–99.' ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” Fuzzy Sets and Systems, vol. 281, pp. 292–299, 2015. mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” Fuzzy Sets and Systems, vol. 281, 2015, pp. 292–99. short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299. date_created: 2020-02-24T16:22:26Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 281' language: - iso: eng page: 292-299 publication: Fuzzy Sets and Systems status: public title: Does machine learning need fuzzy logic? type: journal_article user_id: '49109' volume: 281 year: '2015' ... --- _id: '16058' author: - first_name: W. full_name: Waegeman, W. last_name: Waegeman - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: A. full_name: Jachnik, A. last_name: Jachnik - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research. 2015;15:3313-3368. apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., & Hüllermeier, E. (2015). On the Bayes-optimality of F-measure maximizers. Journal of Machine Learning Research, 15, 3313–3368. bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On the Bayes-optimality of F-measure maximizers}, volume={15}, journal={Journal of Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik, A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3313–3368} }' chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier. “On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning Research 15 (2015): 3313–68.' ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On the Bayes-optimality of F-measure maximizers,” Journal of Machine Learning Research, vol. 15, pp. 3313–3368, 2015. mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” Journal of Machine Learning Research, vol. 15, 2015, pp. 3313–68. short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, Journal of Machine Learning Research 15 (2015) 3313–3368. date_created: 2020-02-24T16:29:58Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 15' language: - iso: eng page: 3313-3368 publication: Journal of Machine Learning Research status: public title: On the Bayes-optimality of F-measure maximizers type: journal_article user_id: '49109' volume: 15 year: '2015' ... --- _id: '16067' author: - first_name: A. full_name: Shaker, A. last_name: Shaker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing. 2015;150:250-264.' apa: 'Shaker, A., & Hüllermeier, E. (2015). Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study. Neurocomputing, 150, 250–264.' bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study}, volume={150}, journal={Neurocomputing}, author={Shaker, A. and Hüllermeier, Eyke}, year={2015}, pages={250–264} }' chicago: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing 150 (2015): 250–64.' ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study,” Neurocomputing, vol. 150, pp. 250–264, 2015.' mla: 'Shaker, A., and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning from Non-Stationary Data Streams: Experimental Design and Case Study.” Neurocomputing, vol. 150, 2015, pp. 250–64.' short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264. date_created: 2020-02-24T16:42:19Z date_updated: 2022-01-06T06:52:42Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 150' language: - iso: eng page: 250-264 publication: Neurocomputing status: public title: 'Recovery analysis for adaptive learning from non-stationary data streams: Experimental design and case study' type: journal_article user_id: '49109' volume: 150 year: '2015' ... --- _id: '10234' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Minor, M. last_name: Minor citation: ama: 'Hüllermeier E, Minor M. Case-Based Reasoning Research and Development . In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer; 2015.' apa: Hüllermeier, E., & Minor, M. (2015). Case-Based Reasoning Research and Development . In in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer. bibtex: '@inproceedings{Hüllermeier_Minor_2015, title={Case-Based Reasoning Research and Development }, booktitle={in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343}, publisher={Springer}, author={Hüllermeier, Eyke and Minor, M.}, year={2015} }' chicago: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343. Springer, 2015. ieee: E. Hüllermeier and M. Minor, “Case-Based Reasoning Research and Development ,” in in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, 2015. mla: Hüllermeier, Eyke, and M. Minor. “Case-Based Reasoning Research and Development .” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015. short: 'E. Hüllermeier, M. Minor, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343, Springer, 2015.' date_created: 2019-06-13T12:45:25Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng publication: in Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) LNAI 9343 publisher: Springer status: public title: 'Case-Based Reasoning Research and Development ' type: conference user_id: '49109' year: '2015' ... --- _id: '10235' author: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hoffmann F, Hüllermeier E. Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. In: ; 2015.' apa: Hoffmann, F., & Hüllermeier, E. (2015). Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. bibtex: '@inproceedings{Hoffmann_Hüllermeier_2015, title={Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing}, author={Hoffmann, F. and Hüllermeier, Eyke}, year={2015} }' chicago: Hoffmann, F., and Eyke Hüllermeier. “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015. ieee: F. Hoffmann and E. Hüllermeier, “Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing,” 2015. mla: Hoffmann, F., and Eyke Hüllermeier. Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing. 2015. short: 'F. Hoffmann, E. Hüllermeier, in: 2015.' date_created: 2019-06-13T12:48:18Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng status: public title: Proceedings 25. Workshop Computational Intelligence KIT Scientific Publishing type: conference user_id: '49109' year: '2015' ... --- _id: '10236' author: - first_name: A. full_name: Abdel-Aziz, A. last_name: Abdel-Aziz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Abdel-Aziz A, Hüllermeier E. Case Base Maintenance in Preference-Based CBR. In: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015). ; 2015:1-14.' apa: Abdel-Aziz, A., & Hüllermeier, E. (2015). Case Base Maintenance in Preference-Based CBR. In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) (pp. 1–14). bibtex: '@inproceedings{Abdel-Aziz_Hüllermeier_2015, title={Case Base Maintenance in Preference-Based CBR}, booktitle={In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015)}, author={Abdel-Aziz, A. and Hüllermeier, Eyke}, year={2015}, pages={1–14} }' chicago: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 1–14, 2015. ieee: A. Abdel-Aziz and E. Hüllermeier, “Case Base Maintenance in Preference-Based CBR,” in In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14. mla: Abdel-Aziz, A., and Eyke Hüllermeier. “Case Base Maintenance in Preference-Based CBR.” In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14. short: 'A. Abdel-Aziz, E. Hüllermeier, in: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015), 2015, pp. 1–14.' date_created: 2019-06-13T12:53:23Z date_updated: 2022-01-06T06:50:33Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 1-14 publication: In Proceedings 23rd International Conference on Case-Based Reasoning (ICCBR 2015) status: public title: Case Base Maintenance in Preference-Based CBR type: conference user_id: '49109' year: '2015' ...