--- _id: '10296' author: - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Shaker A, Hüllermeier E. Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science. 2014;24(1):199-212.' apa: 'Shaker, A., & Hüllermeier, E. (2014). Survival analysis on data streams: Analyzing temporal events in dynamically changing environments. Applied Mathematics and Computer Science, 24(1), 199–212.' bibtex: '@article{Shaker_Hüllermeier_2014, title={Survival analysis on data streams: Analyzing temporal events in dynamically changing environments}, volume={24}, number={1}, journal={Applied Mathematics and Computer Science}, author={Shaker, Ammar and Hüllermeier, Eyke}, year={2014}, pages={199–212} }' chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science 24, no. 1 (2014): 199–212.' ieee: 'A. Shaker and E. Hüllermeier, “Survival analysis on data streams: Analyzing temporal events in dynamically changing environments,” Applied Mathematics and Computer Science, vol. 24, no. 1, pp. 199–212, 2014.' mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Survival Analysis on Data Streams: Analyzing Temporal Events in Dynamically Changing Environments.” Applied Mathematics and Computer Science, vol. 24, no. 1, 2014, pp. 199–212.' short: A. Shaker, E. Hüllermeier, Applied Mathematics and Computer Science 24 (2014) 199–212. date_created: 2019-06-25T12:33:49Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 24' issue: '1' language: - iso: eng page: 199-212 publication: Applied Mathematics and Computer Science status: public title: 'Survival analysis on data streams: Analyzing temporal events in dynamically changing environments' type: journal_article user_id: '49109' volume: 24 year: '2014' ... --- _id: '10297' author: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: A. full_name: Kroll, A. last_name: Kroll citation: ama: Hoffmann F, Hüllermeier E, Kroll A. Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik. 2014;62(10):685-686. apa: Hoffmann, F., Hüllermeier, E., & Kroll, A. (2014). Ausgewählte Beiträge des GMA-Fachausschusses 5.14. Computational Intelligence Automatisierungstechnik, 62(10), 685–686. bibtex: '@article{Hoffmann_Hüllermeier_Kroll_2014, title={Ausgewählte Beiträge des GMA-Fachausschusses 5.14}, volume={62}, number={10}, journal={Computational Intelligence Automatisierungstechnik}, author={Hoffmann, F. and Hüllermeier, Eyke and Kroll, A.}, year={2014}, pages={685–686} }' chicago: 'Hoffmann, F., Eyke Hüllermeier, and A. Kroll. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik 62, no. 10 (2014): 685–86.' ieee: F. Hoffmann, E. Hüllermeier, and A. Kroll, “Ausgewählte Beiträge des GMA-Fachausschusses 5.14,” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, pp. 685–686, 2014. mla: Hoffmann, F., et al. “Ausgewählte Beiträge Des GMA-Fachausschusses 5.14.” Computational Intelligence Automatisierungstechnik, vol. 62, no. 10, 2014, pp. 685–86. short: F. Hoffmann, E. Hüllermeier, A. Kroll, Computational Intelligence Automatisierungstechnik 62 (2014) 685–686. date_created: 2019-06-25T12:36:56Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 62' issue: '10' language: - iso: eng page: 685-686 publication: Computational Intelligence Automatisierungstechnik status: public title: Ausgewählte Beiträge des GMA-Fachausschusses 5.14 type: journal_article user_id: '49109' volume: 62 year: '2014' ... --- _id: '10298' author: - first_name: T. full_name: Calders, T. last_name: Calders - first_name: F. full_name: Esposito, F. last_name: Esposito - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: R. full_name: Meo, R. last_name: Meo citation: ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min Knowledge Discovery. 2014;28(5-6):1129-1133. apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Data Min. Knowledge Discovery, 28(5–6), 1129–1133. bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track}, volume={28}, number={5–6}, journal={Data Min. Knowledge Discovery}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014}, pages={1129–1133} }' chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery 28, no. 5–6 (2014): 1129–33.' ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Data Min. Knowledge Discovery, vol. 28, no. 5–6, pp. 1129–1133, 2014. mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Data Min. Knowledge Discovery, vol. 28, no. 5–6, 2014, pp. 1129–33. short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Data Min. Knowledge Discovery 28 (2014) 1129–1133. date_created: 2019-06-25T12:42:48Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 28' issue: 5-6 language: - iso: eng page: 1129-1133 publication: Data Min. Knowledge Discovery status: public title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track type: journal_article user_id: '49109' volume: 28 year: '2014' ... --- _id: '10299' author: - first_name: Sascha full_name: Henzgen, Sascha last_name: Henzgen - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Henzgen S, Strickert M, Hüllermeier E. Visualization of evolving fuzzy rule-based systems. Evolving Systems. 2014;5(3):175-191. apa: Henzgen, S., Strickert, M., & Hüllermeier, E. (2014). Visualization of evolving fuzzy rule-based systems. Evolving Systems, 5(3), 175–191. bibtex: '@article{Henzgen_Strickert_Hüllermeier_2014, title={Visualization of evolving fuzzy rule-based systems}, volume={5}, number={3}, journal={Evolving Systems}, author={Henzgen, Sascha and Strickert, M. and Hüllermeier, Eyke}, year={2014}, pages={175–191} }' chicago: 'Henzgen, Sascha, M. Strickert, and Eyke Hüllermeier. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems 5, no. 3 (2014): 175–91.' ieee: S. Henzgen, M. Strickert, and E. Hüllermeier, “Visualization of evolving fuzzy rule-based systems,” Evolving Systems, vol. 5, no. 3, pp. 175–191, 2014. mla: Henzgen, Sascha, et al. “Visualization of Evolving Fuzzy Rule-Based Systems.” Evolving Systems, vol. 5, no. 3, 2014, pp. 175–91. short: S. Henzgen, M. Strickert, E. Hüllermeier, Evolving Systems 5 (2014) 175–191. date_created: 2019-06-25T12:52:26Z date_updated: 2022-01-06T06:50:35Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 5' issue: '3' language: - iso: eng page: 175-191 publication: Evolving Systems status: public title: Visualization of evolving fuzzy rule-based systems type: journal_article user_id: '49109' volume: 5 year: '2014' ... --- _id: '10308' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int J Approx Reasoning. 2014;55(7):1519-1534.' apa: 'Hüllermeier, E. (2014). Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization. Int. J. Approx. Reasoning, 55(7), 1519–1534.' bibtex: '@article{Hüllermeier_2014, title={Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization}, volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1519–1534} }' chicago: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning 55, no. 7 (2014): 1519–34.' ieee: 'E. Hüllermeier, “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1519–1534, 2014.' mla: 'Hüllermeier, Eyke. “Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1519–34.' short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1519–1534. date_created: 2019-06-26T11:08:58Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1519-1534 publication: Int. J. Approx. Reasoning status: public title: 'Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization' type: journal_article user_id: '49109' volume: 55 year: '2014' ... --- _id: '10310' author: - first_name: M. full_name: Strickert, M. last_name: Strickert - first_name: K. full_name: Bunte, K. last_name: Bunte - first_name: F.- M. full_name: Schleif, F.- M. last_name: Schleif - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Strickert M, Bunte K, Schleif F-M, Hüllermeier E. Correlation-based embedding of pairwise score data. Neurocomputing. 2014;141:97-109. apa: Strickert, M., Bunte, K., Schleif, F.-M., & Hüllermeier, E. (2014). Correlation-based embedding of pairwise score data. Neurocomputing, 141, 97–109. bibtex: '@article{Strickert_Bunte_Schleif_Hüllermeier_2014, title={Correlation-based embedding of pairwise score data}, volume={141}, journal={Neurocomputing}, author={Strickert, M. and Bunte, K. and Schleif, F.- M. and Hüllermeier, Eyke}, year={2014}, pages={97–109} }' chicago: 'Strickert, M., K. Bunte, F.- M. Schleif, and Eyke Hüllermeier. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing 141 (2014): 97–109.' ieee: M. Strickert, K. Bunte, F.-M. Schleif, and E. Hüllermeier, “Correlation-based embedding of pairwise score data,” Neurocomputing, vol. 141, pp. 97–109, 2014. mla: Strickert, M., et al. “Correlation-Based Embedding of Pairwise Score Data.” Neurocomputing, vol. 141, 2014, pp. 97–109. short: M. Strickert, K. Bunte, F.-M. Schleif, E. Hüllermeier, Neurocomputing 141 (2014) 97–109. date_created: 2019-06-26T11:18:40Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 141' language: - iso: eng page: 97-109 publication: Neurocomputing status: public title: Correlation-based embedding of pairwise score data type: journal_article user_id: '49109' volume: 141 year: '2014' ... --- _id: '10311' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: S. full_name: Bösner, S. last_name: Bösner - first_name: K. full_name: Dembczynski, K. last_name: Dembczynski - first_name: J. full_name: Haasenritter, J. last_name: Haasenritter - first_name: O. full_name: Hirsch, O. last_name: Hirsch - first_name: N. full_name: Donner-Banzhoff, N. last_name: Donner-Banzhoff - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Senge R, Bösner S, Dembczynski K, et al. Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences. 2014;255:16-29.' apa: 'Senge, R., Bösner, S., Dembczynski, K., Haasenritter, J., Hirsch, O., Donner-Banzhoff, N., & Hüllermeier, E. (2014). Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Information Sciences, 255, 16–29.' bibtex: '@article{Senge_Bösner_Dembczynski_Haasenritter_Hirsch_Donner-Banzhoff_Hüllermeier_2014, title={Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty}, volume={255}, journal={Information Sciences}, author={Senge, Robin and Bösner, S. and Dembczynski, K. and Haasenritter, J. and Hirsch, O. and Donner-Banzhoff, N. and Hüllermeier, Eyke}, year={2014}, pages={16–29} }' chicago: 'Senge, Robin, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, and Eyke Hüllermeier. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences 255 (2014): 16–29.' ieee: 'R. Senge et al., “Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty,” Information Sciences, vol. 255, pp. 16–29, 2014.' mla: 'Senge, Robin, et al. “Reliable Classification: Learning Classifiers That Distinguish Aleatoric and Epistemic Uncertainty.” Information Sciences, vol. 255, 2014, pp. 16–29.' short: R. Senge, S. Bösner, K. Dembczynski, J. Haasenritter, O. Hirsch, N. Donner-Banzhoff, E. Hüllermeier, Information Sciences 255 (2014) 16–29. date_created: 2019-06-26T11:23:25Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 255' language: - iso: eng page: 16-29 publication: Information Sciences status: public title: 'Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty' type: journal_article user_id: '49109' volume: 255 year: '2014' ... --- _id: '10312' author: - first_name: M. full_name: Mernberger, M. last_name: Mernberger - first_name: M. full_name: Moog, M. last_name: Moog - first_name: S. full_name: Stork, S. last_name: Stork - first_name: S. full_name: Zauner, S. last_name: Zauner - first_name: U.G. full_name: Maier, U.G. last_name: Maier - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Mernberger M, Moog M, Stork S, Zauner S, Maier UG, Hüllermeier E. Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J Bioinformatics and Computational Biology. 2014;12(1). apa: Mernberger, M., Moog, M., Stork, S., Zauner, S., Maier, U. G., & Hüllermeier, E. (2014). Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances. J. Bioinformatics and Computational Biology, 12(1). bibtex: '@article{Mernberger_Moog_Stork_Zauner_Maier_Hüllermeier_2014, title={Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances}, volume={12}, number={1}, journal={J. Bioinformatics and Computational Biology}, author={Mernberger, M. and Moog, M. and Stork, S. and Zauner, S. and Maier, U.G. and Hüllermeier, Eyke}, year={2014} }' chicago: Mernberger, M., M. Moog, S. Stork, S. Zauner, U.G. Maier, and Eyke Hüllermeier. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology 12, no. 1 (2014). ieee: M. Mernberger, M. Moog, S. Stork, S. Zauner, U. G. Maier, and E. Hüllermeier, “Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances,” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014. mla: Mernberger, M., et al. “Protein Sub-Cellular Localization Prediction for Special Compartments via Optimized Time Series Distances.” J. Bioinformatics and Computational Biology, vol. 12, no. 1, 2014. short: M. Mernberger, M. Moog, S. Stork, S. Zauner, U.G. Maier, E. Hüllermeier, J. Bioinformatics and Computational Biology 12 (2014). date_created: 2019-06-26T11:27:51Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 12' issue: '1' language: - iso: eng publication: J. Bioinformatics and Computational Biology status: public title: Protein Sub-Cellular Localization Prediction for Special compartments via Optimized Time Series Distances type: journal_article user_id: '49109' volume: 12 year: '2014' ... --- _id: '10313' author: - first_name: T. full_name: Calders, T. last_name: Calders - first_name: F. full_name: Esposito, F. last_name: Esposito - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: R. full_name: Meo, R. last_name: Meo citation: ama: Calders T, Esposito F, Hüllermeier E, Meo R. Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning. 2014;97(1-2):1-3. apa: Calders, T., Esposito, F., Hüllermeier, E., & Meo, R. (2014). Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track. Machine Learning, 97(1–2), 1–3. bibtex: '@article{Calders_Esposito_Hüllermeier_Meo_2014, title={Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track}, volume={97}, number={1–2}, journal={Machine Learning}, author={Calders, T. and Esposito, F. and Hüllermeier, Eyke and Meo, R.}, year={2014}, pages={1–3} }' chicago: 'Calders, T., F. Esposito, Eyke Hüllermeier, and R. Meo. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning 97, no. 1–2 (2014): 1–3.' ieee: T. Calders, F. Esposito, E. Hüllermeier, and R. Meo, “Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track,” Machine Learning, vol. 97, no. 1–2, pp. 1–3, 2014. mla: Calders, T., et al. “Guest Editors`introduction:Special Issue of the ECML/PKDD 2014 Journal Track.” Machine Learning, vol. 97, no. 1–2, 2014, pp. 1–3. short: T. Calders, F. Esposito, E. Hüllermeier, R. Meo, Machine Learning 97 (2014) 1–3. date_created: 2019-06-26T11:30:38Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 97' issue: 1-2 language: - iso: eng page: 1-3 publication: Machine Learning status: public title: Guest editors`introduction:special issue of the ECML/PKDD 2014 journal track type: journal_article user_id: '49109' volume: 97 year: '2014' ... --- _id: '10314' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: B. full_name: Szörényi, B. last_name: Szörényi - first_name: P. full_name: Weng, P. last_name: Weng - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Busa-Fekete R, Szörényi B, Weng P, Cheng W, Hüllermeier E. Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning. 2014;97(3):327-351.' apa: 'Busa-Fekete, R., Szörényi, B., Weng, P., Cheng, W., & Hüllermeier, E. (2014). Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm. Machine Learning, 97(3), 327–351.' bibtex: '@article{Busa-Fekete_Szörényi_Weng_Cheng_Hüllermeier_2014, title={Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm}, volume={97}, number={3}, journal={Machine Learning}, author={Busa-Fekete, Robert and Szörényi, B. and Weng, P. and Cheng, W. and Hüllermeier, Eyke}, year={2014}, pages={327–351} }' chicago: 'Busa-Fekete, Robert, B. Szörényi, P. Weng, W. Cheng, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning 97, no. 3 (2014): 327–51.' ieee: 'R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, and E. Hüllermeier, “Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm,” Machine Learning, vol. 97, no. 3, pp. 327–351, 2014.' mla: 'Busa-Fekete, Robert, et al. “Preference-Based Reinforcement Learning: Evolutionary Direct Policy Search Using a Preference-Based Racing Algorithm.” Machine Learning, vol. 97, no. 3, 2014, pp. 327–51.' short: R. Busa-Fekete, B. Szörényi, P. Weng, W. Cheng, E. Hüllermeier, Machine Learning 97 (2014) 327–351. date_created: 2019-06-26T11:34:55Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 97' issue: '3' language: - iso: eng page: 327-351 publication: Machine Learning status: public title: 'Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm' type: journal_article user_id: '49109' volume: 97 year: '2014' ... --- _id: '10315' author: - first_name: E. full_name: Montanés, E. last_name: Montanés - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: J. full_name: Barranquero, J. last_name: Barranquero - first_name: J.R. full_name: Quevedo, J.R. last_name: Quevedo - first_name: J.J. full_name: Del Coz, J.J. last_name: Del Coz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: Montanés E, Senge R, Barranquero J, Quevedo JR, Del Coz JJ, Hüllermeier E. Dependent binary relevance models for multi-label classification. Pattern Recognition. 2014;47(3):1494-1508. apa: Montanés, E., Senge, R., Barranquero, J., Quevedo, J. R., Del Coz, J. J., & Hüllermeier, E. (2014). Dependent binary relevance models for multi-label classification. Pattern Recognition, 47(3), 1494–1508. bibtex: '@article{Montanés_Senge_Barranquero_Quevedo_Del Coz_Hüllermeier_2014, title={Dependent binary relevance models for multi-label classification}, volume={47}, number={3}, journal={Pattern Recognition}, author={Montanés, E. and Senge, Robin and Barranquero, J. and Quevedo, J.R. and Del Coz, J.J. and Hüllermeier, Eyke}, year={2014}, pages={1494–1508} }' chicago: 'Montanés, E., Robin Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, and Eyke Hüllermeier. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition 47, no. 3 (2014): 1494–1508.' ieee: E. Montanés, R. Senge, J. Barranquero, J. R. Quevedo, J. J. Del Coz, and E. Hüllermeier, “Dependent binary relevance models for multi-label classification,” Pattern Recognition, vol. 47, no. 3, pp. 1494–1508, 2014. mla: Montanés, E., et al. “Dependent Binary Relevance Models for Multi-Label Classification.” Pattern Recognition, vol. 47, no. 3, 2014, pp. 1494–508. short: E. Montanés, R. Senge, J. Barranquero, J.R. Quevedo, J.J. Del Coz, E. Hüllermeier, Pattern Recognition 47 (2014) 1494–1508. date_created: 2019-06-26T11:40:07Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 47' issue: '3' language: - iso: eng page: 1494-1508 publication: Pattern Recognition status: public title: Dependent binary relevance models for multi-label classification type: journal_article user_id: '49109' volume: 47 year: '2014' ... --- _id: '10316' author: - first_name: G. full_name: Krempl, G. last_name: Krempl - first_name: I. full_name: Zliobaite, I. last_name: Zliobaite - first_name: D. full_name: Brzezinski, D. last_name: Brzezinski - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: M. full_name: Last, M. last_name: Last - first_name: V. full_name: Lemaire, V. last_name: Lemaire - first_name: T. full_name: Noack, T. last_name: Noack - first_name: Ammar full_name: Shaker, Ammar last_name: Shaker - first_name: S. full_name: Sievi, S. last_name: Sievi - first_name: M. full_name: Spiliopoulou, M. last_name: Spiliopoulou - first_name: J. full_name: Stefanowski, J. last_name: Stefanowski citation: ama: Krempl G, Zliobaite I, Brzezinski D, et al. Open challenges for data stream mining research. SIGKDD Explorations. 2014;16(1):1-10. apa: Krempl, G., Zliobaite, I., Brzezinski, D., Hüllermeier, E., Last, M., Lemaire, V., … Stefanowski, J. (2014). Open challenges for data stream mining research. SIGKDD Explorations, 16(1), 1–10. bibtex: '@article{Krempl_Zliobaite_Brzezinski_Hüllermeier_Last_Lemaire_Noack_Shaker_Sievi_Spiliopoulou_et al._2014, title={Open challenges for data stream mining research}, volume={16}, number={1}, journal={SIGKDD Explorations}, author={Krempl, G. and Zliobaite, I. and Brzezinski, D. and Hüllermeier, Eyke and Last, M. and Lemaire, V. and Noack, T. and Shaker, Ammar and Sievi, S. and Spiliopoulou, M. and et al.}, year={2014}, pages={1–10} }' chicago: 'Krempl, G., I. Zliobaite, D. Brzezinski, Eyke Hüllermeier, M. Last, V. Lemaire, T. Noack, et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations 16, no. 1 (2014): 1–10.' ieee: G. Krempl et al., “Open challenges for data stream mining research,” SIGKDD Explorations, vol. 16, no. 1, pp. 1–10, 2014. mla: Krempl, G., et al. “Open Challenges for Data Stream Mining Research.” SIGKDD Explorations, vol. 16, no. 1, 2014, pp. 1–10. short: G. Krempl, I. Zliobaite, D. Brzezinski, E. Hüllermeier, M. Last, V. Lemaire, T. Noack, A. Shaker, S. Sievi, M. Spiliopoulou, J. Stefanowski, SIGKDD Explorations 16 (2014) 1–10. date_created: 2019-06-26T11:59:15Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 16' issue: '1' language: - iso: eng page: 1-10 publication: SIGKDD Explorations status: public title: Open challenges for data stream mining research type: journal_article user_id: '49109' volume: 16 year: '2014' ... --- _id: '10317' author: - first_name: T. full_name: Krotzky, T. last_name: Krotzky - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: G. full_name: Klebe, G. last_name: Klebe citation: ama: Krotzky T, Fober T, Hüllermeier E, Klebe G. Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(5):878-890. apa: Krotzky, T., Fober, T., Hüllermeier, E., & Klebe, G. (2014). Extended Graph-Based Models for Enhanced Similarity Search in Cavbase. IEEE/ACM Trans. Comput. Biology Bioinform., 11(5), 878–890. bibtex: '@article{Krotzky_Fober_Hüllermeier_Klebe_2014, title={Extended Graph-Based Models for Enhanced Similarity Search in Cavbase}, volume={11}, number={5}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.}, author={Krotzky, T. and Fober, T. and Hüllermeier, Eyke and Klebe, G.}, year={2014}, pages={878–890} }' chicago: 'Krotzky, T., T. Fober, Eyke Hüllermeier, and G. Klebe. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 5 (2014): 878–90.' ieee: T. Krotzky, T. Fober, E. Hüllermeier, and G. Klebe, “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, pp. 878–890, 2014. mla: Krotzky, T., et al. “Extended Graph-Based Models for Enhanced Similarity Search in Cavbase.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 5, 2014, pp. 878–90. short: T. Krotzky, T. Fober, E. Hüllermeier, G. Klebe, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 878–890. date_created: 2019-06-26T12:04:48Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '5' language: - iso: eng page: 878-890 publication: IEEE/ACM Trans. Comput. Biology Bioinform. status: public title: Extended Graph-Based Models for Enhanced Similarity Search in Cavbase type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '10318' author: - first_name: M. full_name: Stock, M. last_name: Stock - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: S, full_name: Glinca, S, last_name: Glinca - first_name: G. full_name: Klebe, G. last_name: Klebe - first_name: T. full_name: Pahikkala, T. last_name: Pahikkala - first_name: A. full_name: Airola, A. last_name: Airola - first_name: B. full_name: De Baets, B. last_name: De Baets - first_name: W. full_name: Wageman, W. last_name: Wageman citation: ama: Stock M, Fober T, Hüllermeier E, et al. Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans Comput Biology Bioinform. 2014;11(6):1157-1169. apa: Stock, M., Fober, T., Hüllermeier, E., Glinca, S., Klebe, G., Pahikkala, T., … Wageman, W. (2014). Identification of Functionally Releated Enzymes by Learning to Rank Methods. IEEE/ACM Trans. Comput. Biology Bioinform., 11(6), 1157–1169. bibtex: '@article{Stock_Fober_Hüllermeier_Glinca_Klebe_Pahikkala_Airola_De Baets_Wageman_2014, title={Identification of Functionally Releated Enzymes by Learning to Rank Methods}, volume={11}, number={6}, journal={IEEE/ACM Trans. Comput. Biology Bioinform.}, author={Stock, M. and Fober, T. and Hüllermeier, Eyke and Glinca, S and Klebe, G. and Pahikkala, T. and Airola, A. and De Baets, B. and Wageman, W.}, year={2014}, pages={1157–1169} }' chicago: 'Stock, M., T. Fober, Eyke Hüllermeier, S Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, and W. Wageman. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform. 11, no. 6 (2014): 1157–69.' ieee: M. Stock et al., “Identification of Functionally Releated Enzymes by Learning to Rank Methods,” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, pp. 1157–1169, 2014. mla: Stock, M., et al. “Identification of Functionally Releated Enzymes by Learning to Rank Methods.” IEEE/ACM Trans. Comput. Biology Bioinform., vol. 11, no. 6, 2014, pp. 1157–69. short: M. Stock, T. Fober, E. Hüllermeier, S. Glinca, G. Klebe, T. Pahikkala, A. Airola, B. De Baets, W. Wageman, IEEE/ACM Trans. Comput. Biology Bioinform. 11 (2014) 1157–1169. date_created: 2019-06-26T12:11:13Z date_updated: 2022-01-06T06:50:36Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 11' issue: '6' language: - iso: eng page: 1157-1169 publication: IEEE/ACM Trans. Comput. Biology Bioinform. status: public title: Identification of Functionally Releated Enzymes by Learning to Rank Methods type: journal_article user_id: '49109' volume: 11 year: '2014' ... --- _id: '10309' author: - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Hüllermeier E. Rejoinder on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization.” Int J Approx Reasoning. 2014;55(7):1609-1613.' apa: 'Hüllermeier, E. (2014). Rejoinder on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization.” Int. J. Approx. Reasoning, 55(7), 1609–1613.' bibtex: '@article{Hüllermeier_2014, title={Rejoinder on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization”}, volume={55}, number={7}, journal={Int. J. Approx. Reasoning}, author={Hüllermeier, Eyke}, year={2014}, pages={1609–1613} }' chicago: 'Hüllermeier, Eyke. “Rejoinder on ‘Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.’” Int. J. Approx. Reasoning 55, no. 7 (2014): 1609–13.' ieee: 'E. Hüllermeier, “Rejoinder on ‘Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization,’” Int. J. Approx. Reasoning, vol. 55, no. 7, pp. 1609–1613, 2014.' mla: 'Hüllermeier, Eyke. “Rejoinder on ‘Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization.’” Int. J. Approx. Reasoning, vol. 55, no. 7, 2014, pp. 1609–13.' short: E. Hüllermeier, Int. J. Approx. Reasoning 55 (2014) 1609–1613. date_created: 2019-06-26T11:12:38Z date_updated: 2026-03-10T10:58:24Z department: - _id: '34' - _id: '7' - _id: '355' intvolume: ' 55' issue: '7' language: - iso: eng page: 1609-1613 publication: Int. J. Approx. Reasoning status: public title: 'Rejoinder on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization"' type: journal_article user_id: '14972' volume: 55 year: '2014' ... --- _id: '485' abstract: - lang: eng text: Software composition has been studied as a subject of state based planning for decades. Existing composition approaches that are efficient enough to be used in practice are limited to sequential arrangements of software components. This restriction dramatically reduces the number of composition problems that can be solved. However, there are many composition problems that could be solved by existing approaches if they had a possibility to combine components in very simple non-sequential ways. To this end, we present an approach that arranges not only basic components but also composite components. Composite components enhance the structure of the composition by conditional control flows. Through algorithms that are written by experts, composite components are automatically generated before the composition process starts. Therefore, our approach is not a substitute for existing composition algorithms but complements them with a preprocessing step. We verified the validity of our approach through implementation of the presented algorithms. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Hans full_name: Kleine Büning, Hans last_name: Kleine Büning citation: ama: 'Mohr F, Kleine Büning H. Semi-Automated Software Composition Through Generated Components. In: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS). ; 2013:676-680. doi:10.1145/2539150.2539235' apa: Mohr, F., & Kleine Büning, H. (2013). Semi-Automated Software Composition Through Generated Components. In Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) (pp. 676–680). https://doi.org/10.1145/2539150.2539235 bibtex: '@inproceedings{Mohr_Kleine Büning_2013, title={Semi-Automated Software Composition Through Generated Components}, DOI={10.1145/2539150.2539235}, booktitle={Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS)}, author={Mohr, Felix and Kleine Büning, Hans}, year={2013}, pages={676–680} }' chicago: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through Generated Components.” In Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 676–80, 2013. https://doi.org/10.1145/2539150.2539235. ieee: F. Mohr and H. Kleine Büning, “Semi-Automated Software Composition Through Generated Components,” in Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 2013, pp. 676–680. mla: Mohr, Felix, and Hans Kleine Büning. “Semi-Automated Software Composition Through Generated Components.” Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–80, doi:10.1145/2539150.2539235. short: 'F. Mohr, H. Kleine Büning, in: Proceedings of the 15th International Conference on Information Integration and Web-Based Applications & Services (IiWAS), 2013, pp. 676–680.' date_created: 2017-10-17T12:42:26Z date_updated: 2022-01-06T07:01:27Z ddc: - '040' department: - _id: '355' doi: 10.1145/2539150.2539235 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-15T13:56:49Z date_updated: 2018-03-15T13:56:49Z file_id: '1318' file_name: 485-paper86_mohr.pdf file_size: 368152 relation: main_file success: 1 file_date_updated: 2018-03-15T13:56:49Z has_accepted_license: '1' language: - iso: eng page: 676-680 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 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) status: public title: Semi-Automated Software Composition Through Generated Components type: conference user_id: '477' year: '2013' ... --- _id: '495' abstract: - lang: eng text: Automated service composition has been studied as a subject of state based planning for a decade. A great deal of service composition tasks can only be solved if concrete output values of the services are considered in the composition process. However, the fact that those values are not known before runtime leads to nondeterministic planning problems, which have proven to be notoriously difficult in practical automated service composition applications. Even though this problem is frequently recognized, it has still received remarkably few attention and remains unsolved.This paper shows how nondeterminism in automated service composition can be reduced. We introduce context rules as a means to derive semantic knowledge from output values of services. These rules enable us to replace nondeterministic composition operations by less nondeterministic or even completely deterministic ones. We show the validity of our solutions not only theoretically but also have evaluated them practically through implementation. author: - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Theodor full_name: Lettmann, Theodor id: '315' last_name: Lettmann orcid: 0000-0001-5859-2457 - first_name: Hans full_name: Kleine Büning, Hans last_name: Kleine Büning citation: ama: 'Mohr F, Lettmann T, Kleine Büning H. Reducing Nondeterminism in Automated Service Composition. In: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA). ; 2013:154-161. doi:10.1109/SOCA.2013.25' apa: Mohr, F., Lettmann, T., & Kleine Büning, H. (2013). Reducing Nondeterminism in Automated Service Composition. In Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA) (pp. 154–161). https://doi.org/10.1109/SOCA.2013.25 bibtex: '@inproceedings{Mohr_Lettmann_Kleine Büning_2013, title={Reducing Nondeterminism in Automated Service Composition}, DOI={10.1109/SOCA.2013.25}, booktitle={Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA)}, author={Mohr, Felix and Lettmann, Theodor and Kleine Büning, Hans}, year={2013}, pages={154–161} }' chicago: Mohr, Felix, Theodor Lettmann, and Hans Kleine Büning. “Reducing Nondeterminism in Automated Service Composition.” In Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 154–61, 2013. https://doi.org/10.1109/SOCA.2013.25. ieee: F. Mohr, T. Lettmann, and H. Kleine Büning, “Reducing Nondeterminism in Automated Service Composition,” in Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161. mla: Mohr, Felix, et al. “Reducing Nondeterminism in Automated Service Composition.” Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–61, doi:10.1109/SOCA.2013.25. short: 'F. Mohr, T. Lettmann, H. Kleine Büning, in: Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA), 2013, pp. 154–161.' date_created: 2017-10-17T12:42:28Z date_updated: 2022-01-06T07:01:30Z ddc: - '040' department: - _id: '355' doi: 10.1109/SOCA.2013.25 file: - access_level: closed content_type: application/pdf creator: florida date_created: 2018-03-15T13:43:08Z date_updated: 2018-03-15T13:43:08Z file_id: '1314' file_name: 495-paper52_mohr.pdf file_size: 603822 relation: main_file success: 1 file_date_updated: 2018-03-15T13:43:08Z has_accepted_license: '1' language: - iso: eng page: 154-161 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 6th International Conference on Service Oriented Computing and Applications (SOCA) status: public title: Reducing Nondeterminism in Automated Service Composition type: conference user_id: '477' year: '2013' ... --- _id: '15752' author: - first_name: W. full_name: Cheng, W. last_name: Cheng - first_name: S. full_name: Henzgen, S. last_name: Henzgen - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Cheng W, Henzgen S, Hüllermeier E. Labelwise versus pairwise decomposition in label ranking. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:129-136.' apa: Cheng, W., Henzgen, S., & Hüllermeier, E. (2013). Labelwise versus pairwise decomposition in label ranking. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 129–136). bibtex: '@inproceedings{Cheng_Henzgen_Hüllermeier_2013, title={Labelwise versus pairwise decomposition in label ranking}, booktitle={In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Cheng, W. and Henzgen, S. and Hüllermeier, Eyke}, year={2013}, pages={129–136} }' chicago: Cheng, W., S. Henzgen, and Eyke Hüllermeier. “Labelwise versus Pairwise Decomposition in Label Ranking.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 129–36, 2013. ieee: W. Cheng, S. Henzgen, and E. Hüllermeier, “Labelwise versus pairwise decomposition in label ranking,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136. mla: Cheng, W., et al. “Labelwise versus Pairwise Decomposition in Label Ranking.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–36. short: 'W. Cheng, S. Henzgen, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 129–136.' date_created: 2020-02-03T14:20:27Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 129-136 publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany status: public title: Labelwise versus pairwise decomposition in label ranking type: conference user_id: '49109' year: '2013' ... --- _id: '15753' author: - first_name: Robin full_name: Senge, Robin last_name: Senge - first_name: J. full_name: del Coz, J. last_name: del Coz - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Senge R, del Coz J, Hüllermeier E. Rectifying classifier chains for multi-label classification, Bamberg, Germany. In: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany. ; 2013:151-158.' apa: Senge, R., del Coz, J., & Hüllermeier, E. (2013). Rectifying classifier chains for multi-label classification, Bamberg, Germany. In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany (pp. 151–158). bibtex: '@inproceedings{Senge_del Coz_Hüllermeier_2013, title={Rectifying classifier chains for multi-label classification, Bamberg, Germany}, booktitle={In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany}, author={Senge, Robin and del Coz, J. and Hüllermeier, Eyke}, year={2013}, pages={151–158} }' chicago: Senge, Robin, J. del Coz, and Eyke Hüllermeier. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 151–58, 2013. ieee: R. Senge, J. del Coz, and E. Hüllermeier, “Rectifying classifier chains for multi-label classification, Bamberg, Germany,” in In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158. mla: Senge, Robin, et al. “Rectifying Classifier Chains for Multi-Label Classification, Bamberg, Germany.” In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–58. short: 'R. Senge, J. del Coz, E. Hüllermeier, in: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany, 2013, pp. 151–158.' date_created: 2020-02-03T14:24:09Z date_updated: 2022-01-06T06:52:32Z department: - _id: '34' - _id: '7' - _id: '355' language: - iso: eng page: 151-158 publication: In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany status: public title: Rectifying classifier chains for multi-label classification, Bamberg, Germany type: conference user_id: '49109' year: '2013' ... --- _id: '15755' author: - first_name: Robert full_name: Busa-Fekete, Robert last_name: Busa-Fekete - first_name: T. full_name: Fober, T. last_name: Fober - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Busa-Fekete R, Fober T, Hüllermeier E. Preference-based evolutionary optimization using generalized racing algorithms. In: Hoffmann F, Hüllermeier E, eds. In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany. KIT Scientific Publishing; 2013:237-246.' apa: Busa-Fekete, R., Fober, T., & Hüllermeier, E. (2013). Preference-based evolutionary optimization using generalized racing algorithms. In F. Hoffmann & E. Hüllermeier (Eds.), in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany (pp. 237–246). KIT Scientific Publishing. bibtex: '@inproceedings{Busa-Fekete_Fober_Hüllermeier_2013, title={Preference-based evolutionary optimization using generalized racing algorithms}, booktitle={in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany}, publisher={KIT Scientific Publishing}, author={Busa-Fekete, Robert and Fober, T. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, EykeEditors}, year={2013}, pages={237–246} }' chicago: Busa-Fekete, Robert, T. Fober, and Eyke Hüllermeier. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, 237–46. KIT Scientific Publishing, 2013. ieee: R. Busa-Fekete, T. Fober, and E. Hüllermeier, “Preference-based evolutionary optimization using generalized racing algorithms,” in in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, 2013, pp. 237–246. mla: Busa-Fekete, Robert, et al. “Preference-Based Evolutionary Optimization Using Generalized Racing Algorithms.” In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, edited by F. Hoffmann and Eyke Hüllermeier, KIT Scientific Publishing, 2013, pp. 237–46. short: 'R. Busa-Fekete, T. Fober, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier (Eds.), In Proceedings 23th Workshop Computational Intelligence, Dortmund Germany, KIT Scientific Publishing, 2013, pp. 237–246.' date_created: 2020-02-03T14:31:54Z 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: 237-246 publication: in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany publisher: KIT Scientific Publishing status: public title: Preference-based evolutionary optimization using generalized racing algorithms type: conference user_id: '49109' year: '2013' ...