[{"page":"60","status":"public","publisher":"Hochschule Ostwestfalen-Lippe","department":[{"_id":"DEP2001"}],"author":[{"full_name":"Böhl, Freda","first_name":"Freda","last_name":"Böhl","id":"60139"}],"year":2017,"ddc":["370"],"file":[{"file_name":"BA_eLearning in der Hochschullehre.pdf","content_type":"application/pdf","date_created":"2019-04-05T13:36:10Z","file_id":"812","file_size":1626480,"relation":"main_file","creator":"6bl-f5s","date_updated":"2019-04-05T13:36:10Z","access_level":"closed"}],"publication_status":"published","citation":{"short":"F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion, Hochschule Ostwestfalen-Lippe, Lemgo, 2017.","chicago-de":"Böhl, Freda. 2017. <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Böhl, Freda</span>: <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo : Hochschule Ostwestfalen-Lippe, 2017","ieee":"F. Böhl, <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2017.","apa":"Böhl, F. (2017). <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","chicago":"Böhl, Freda. <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe, 2017.","ama":"Böhl F. <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe; 2017.","van":"Böhl F. eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion. Lemgo: Hochschule Ostwestfalen-Lippe; 2017. 60 p.","mla":"Böhl, Freda. <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Hochschule Ostwestfalen-Lippe, 2017.","havard":"F. Böhl, eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion, Hochschule Ostwestfalen-Lippe, Lemgo, 2017.","bjps":"<b>Böhl F</b> (2017) <i>eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion</i>. Lemgo: Hochschule Ostwestfalen-Lippe.","ufg":"<b>Böhl, Freda (2017)</b>: eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion, Lemgo."},"title":"eLearning in der Hochschullehre: Entwicklung eines Leitfadens für den Studiengang Medienproduktion","language":[{"iso":"ger"}],"place":"Lemgo","keyword":["E-Learning","eLearning"],"_id":"811","has_accepted_license":"1","date_updated":"2023-03-15T13:50:13Z","user_id":"45673","file_date_updated":"2019-04-05T13:36:10Z","type":"bachelor_thesis","date_created":"2019-04-05T13:36:50Z","supervisor":[{"first_name":"Heizo","last_name":"Schulze","full_name":"Schulze, Heizo","id":"29126"},{"last_name":"Had-jakos","first_name":"Aristotelis","full_name":"Had-jakos, Aristotelis"}]},{"type":"book_chapter","intvolume":"      9605","user_id":"15514","_id":"4298","doi":"10.1007/978-3-319-50478-0_18","place":"Cham, CH","series_title":"Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence ","publication_status":"published","abstract":[{"text":"In this paper, we present the current state-of-the-art of decision making (DM) and machine learning (ML) and bridge the two research domains to create an integrated approach of complex problem solving based on human and computational agents. We present a novel classification of ML, emphasizing the human-in-the-loop in interactive ML (iML) and more specific on collaborative interactive ML (ciML), which we understand as a deep integrated version of iML, where humans and algorithms work hand in hand to solve complex problems. Both humans and computers have specific strengths and weaknesses and integrating humans into machine learning processes might be a very efficient way for tackling problems. This approach bears immense research potential for various domains, e.g., in health informatics or in industrial applications. We outline open questions and name future challenges that have to be addressed by the research community to enable the use of collaborative interactive machine learning for problem solving in a large scale.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"publisher":"Springer","publication":"Machine Learning for Health Informatics : State-of-the-Art and Future Challenges ","publication_identifier":{"isbn":["978-3-319-50477-3 "],"eisbn":["978-3-319-50478-0 "]},"date_created":"2020-12-22T14:11:00Z","editor":[{"full_name":"Holzinger, Andreas","last_name":"Holzinger","first_name":"Andreas"}],"date_updated":"2023-03-15T13:49:51Z","keyword":["Decision making","Reasoning","Interactive machine learning","Collaborative interactive machine learning"],"language":[{"iso":"eng"}],"title":"Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning","volume":9605,"citation":{"short":"S. Robert, S. Büttner, C. Röcker, A. Holzinger, in: A. Holzinger (Ed.), Machine Learning for Health Informatics : State-of-the-Art and Future Challenges , Springer, Cham, CH, 2016, pp. 357–376.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Robert, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Büttner, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span> ; <span style=\"font-variant:small-caps;\">Holzinger, Andreas</span>: Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In: <span style=\"font-variant:small-caps;\">Holzinger, A.</span> (Hrsg.): <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, <i>Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence </i>. Bd. 9605. Cham, CH : Springer, 2016, S. 357–376","chicago-de":"Robert, Sebastian, Sebastian Büttner, Carsten Röcker und Andreas Holzinger. 2016. Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In: <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, hg. von Andreas Holzinger, 9605:357–376. Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence . Cham, CH: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-319-50478-0_18,\">10.1007/978-3-319-50478-0_18,</a> .","apa":"Robert, S., Büttner, S., Röcker, C., &#38; Holzinger, A. (2016). Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In A. Holzinger (Ed.), <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i> (Vol. 9605, pp. 357–376). Cham, CH: Springer. <a href=\"https://doi.org/10.1007/978-3-319-50478-0_18\">https://doi.org/10.1007/978-3-319-50478-0_18</a>","chicago":"Robert, Sebastian, Sebastian Büttner, Carsten Röcker, and Andreas Holzinger. “Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.” In <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, edited by Andreas Holzinger, 9605:357–76. Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence . Cham, CH: Springer, 2016. <a href=\"https://doi.org/10.1007/978-3-319-50478-0_18\">https://doi.org/10.1007/978-3-319-50478-0_18</a>.","van":"Robert S, Büttner S, Röcker C, Holzinger A. Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In: Holzinger A, editor. Machine Learning for Health Informatics : State-of-the-Art and Future Challenges . Cham, CH: Springer; 2016. p. 357–76. (Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence ; vol. 9605).","mla":"Robert, Sebastian, et al. “Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning.” <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, edited by Andreas Holzinger, vol. 9605, Springer, 2016, pp. 357–76, doi:<a href=\"https://doi.org/10.1007/978-3-319-50478-0_18\">10.1007/978-3-319-50478-0_18</a>.","bjps":"<b>Robert S <i>et al.</i></b> (2016) Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In Holzinger A (ed.), <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, vol. 9605. Cham, CH: Springer, pp. 357–376.","havard":"S. Robert, S. Büttner, C. Röcker, A. Holzinger, Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning, in: A. Holzinger (Ed.), Machine Learning for Health Informatics : State-of-the-Art and Future Challenges , Springer, Cham, CH, 2016: pp. 357–376.","ufg":"<b>Robert, Sebastian et. al. (2016)</b>: Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning, in: Andreas Holzinger (Hg.): <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i> (=<i>Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence  9605</i>), Cham, CH, S. 357–376.","ieee":"S. Robert, S. Büttner, C. Röcker, and A. Holzinger, “Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning,” in <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>, vol. 9605, A. Holzinger, Ed. Cham, CH: Springer, 2016, pp. 357–376.","ama":"Robert S, Büttner S, Röcker C, Holzinger A. Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning. In: Holzinger A, ed. <i>Machine Learning for Health Informatics : State-of-the-Art and Future Challenges </i>. Vol 9605. Lecture Notes in Computer Science /  Lecture Notes in Artificial Intelligence . Cham, CH: Springer; 2016:357-376. doi:<a href=\"https://doi.org/10.1007/978-3-319-50478-0_18\">10.1007/978-3-319-50478-0_18</a>"},"author":[{"first_name":"Sebastian","last_name":"Robert","full_name":"Robert, Sebastian"},{"first_name":"Sebastian","last_name":"Büttner","id":"61868","full_name":"Büttner, Sebastian"},{"full_name":"Röcker, Carsten","id":"61525","first_name":"Carsten","last_name":"Röcker"},{"last_name":"Holzinger","first_name":"Andreas","full_name":"Holzinger, Andreas"}],"year":2016,"status":"public","page":"357-376"},{"status":"public","abstract":[{"lang":"eng","text":"Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource ef- ficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of- the-art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps.\r\n"}],"main_file_link":[{"open_access":"1","url":"https://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9530/9691"}],"author":[{"full_name":"Niggemann, Oliver","last_name":"Niggemann","id":"10876","first_name":"Oliver"},{"orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","first_name":"Volker","id":"1804","last_name":"Lohweg"}],"year":2015,"department":[{"_id":"DEP5023"}],"citation":{"chicago":"Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda.” In <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA, 2015.","apa":"Niggemann, O., &#38; Lohweg, V. (2015). On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA.","ufg":"<b>Niggemann, Oliver/Lohweg, Volker (2015)</b>: On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda, in: <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>, Austin, Texas, USA.","havard":"O. Niggemann, V. Lohweg, On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.","bjps":"<b>Niggemann O and Lohweg V</b> (2015) On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA.","mla":"Niggemann, Oliver, and Volker Lohweg. “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda.” <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>, 2015.","van":"Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15). Austin, Texas, USA; 2015.","chicago-de":"Niggemann, Oliver und Volker Lohweg. 2015. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA, 2015","short":"O. Niggemann, V. Lohweg, in: Twenty-Ninth Conference on Artificial Intelligence (AAAI-15), Austin, Texas, USA, 2015.","ieee":"O. Niggemann and V. Lohweg, “On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda,” in <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>, 2015.","ama":"Niggemann O, Lohweg V. On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda. In: <i>Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)</i>. Austin, Texas, USA; 2015."},"title":"On the Diagnosis of Cyber-Physical Production Systems - State-of-the-Art and Research Agenda","_id":"2167","keyword":["Cyber-Physical Systems","Machine Learning","Diagnosis","Anomaly Detection"],"place":"Austin, Texas, USA","language":[{"iso":"eng"}],"oa":"1","user_id":"68554","date_updated":"2023-03-15T13:49:39Z","publication":"Twenty-Ninth Conference on Artificial Intelligence (AAAI-15)","type":"conference","date_created":"2019-12-04T12:43:12Z"},{"series_title":"Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI","title":"Smart Health: Open Problems and Future Challenges","volume":8700,"citation":{"short":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holzinger, A.</span> ; <span style=\"font-variant:small-caps;\">Röcker, C.</span> ; <span style=\"font-variant:small-caps;\">Ziefle, M.</span> (Hrsg.): <i>Smart Health: Open Problems and Future Challenges</i>, <i>Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI</i>. Bd. 8700. Heidelberg : Springer, 2015","chicago-de":"Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015. <i>Smart Health: Open Problems and Future Challenges</i>. Bd. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Heidelberg: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3,\">10.1007/978-3-319-16226-3,</a> .","apa":"Holzinger, A., Röcker, C., &#38; Ziefle, M. (Eds.). (2015). <i>Smart Health: Open Problems and Future Challenges</i> (Vol. 8700). Heidelberg: Springer. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>","chicago":"Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, Incl. Internet/Web, and HCI. Heidelberg: Springer, 2015. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>.","van":"Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI; vol. 8700).","ufg":"<b>Holzinger, Andreas et. al. (Hgg.) (2015)</b>: Smart Health: Open Problems and Future Challenges (=<i>Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI 8700</i>), Heidelberg.","mla":"Holzinger, Andreas, et al., editors. <i>Smart Health: Open Problems and Future Challenges</i>. Vol. 8700, Springer, 2015, doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>.","havard":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.","bjps":"<b>Holzinger A, Röcker C and Ziefle M (eds)</b> (2015) <i>Smart Health: Open Problems and Future Challenges</i>. Heidelberg: Springer.","ieee":"A. Holzinger, C. Röcker, and M. Ziefle, Eds., <i>Smart Health: Open Problems and Future Challenges</i>, vol. 8700. Heidelberg: Springer, 2015.","ama":"Holzinger A, Röcker C, Ziefle M, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol 8700. Heidelberg: Springer; 2015. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>"},"publication_status":"published","main_file_link":[{"open_access":"1","url":"http://www.springerlink.com/content/978-3-319-16226-3 "}],"year":2015,"department":[{"_id":"DEP5023"}],"abstract":[{"lang":"eng","text":"Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning.\r\n\r\nThe papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress."}],"status":"public","page":"275","publisher":"Springer","publication_identifier":{"issn":["0302-9743"],"eisbn":["978-3-319-16226-3"],"eissn":["1611-3349"],"isbn":["978-3-319-16225-6"]},"date_created":"2021-01-08T12:03:52Z","type":"book_editor","user_id":"15514","date_updated":"2023-03-15T13:49:52Z","intvolume":"      8700","editor":[{"full_name":"Holzinger, Andreas","first_name":"Andreas","last_name":"Holzinger"},{"last_name":"Röcker","full_name":"Röcker, Carsten","id":"61525","first_name":"Carsten"},{"last_name":"Ziefle","first_name":"Martina","full_name":"Ziefle, Martina"}],"oa":"1","place":"Heidelberg","keyword":["HCI","ambient assisted living","big data","computational intelligence","context awareness","data centric medicine","decision support","interactive data mining","keyword detection","knoweldge bases","knoweldge discovery","machine learning","medical decision support","medical informatics","natural language processing","pervasive health","smart home","ubiquitous computing","visualization","wearable sensors"],"language":[{"iso":"eng"}],"_id":"4336","doi":"10.1007/978-3-319-16226-3"},{"publication_status":"published","publisher":"Wichmann","abstract":[{"text":"According to the Bologna Accord in 2006 the study courses for architecture, urban planning and landscape planning at Kassel university were reformed to a bachelor and master education programme. New courses – so called “modules” were found. One of them “Wahrnehmung und Analyse von Räumen” – “landscape perception and analysis” – is an interdisciplinary course teaching and comparing three different perspectives – those of ecology, social science and landscape planning – on landscape. To manage a high number of students the e-learning platform “Moodle” is used. Also giving an introduction into GIS is a major part of the course. This article – after “landscape perception and analysis” started four years ago – gives an overview of the recent and future development of the course from a teachers perspective.","lang":"eng"},{"lang":"eng","text":"Im Zuge des Bolognaprozesses wurde 2006 der Studiengang Landschaftsplanung an der Universität Kassel auf das Bachelor- und Mastersystem umgestellt. Eines der neuen „Lehrmodule“ ist „Wahrnehmung und Analyse von Räumen“, das interdis-ziplinär angelegt ist, und den Studierenden eine Einführung in die Erfassung von Landschaften gibt. Drei unterschiedliche Perspektiven auf Landschaft – ökologisch, sozialwissenschaftlich und landschaftsplanerisch – werden gelehrt und gegenübergestellt. Um die große Zahl der Studierenden zu betreuen, wird die E-Learning-Plattform „Moodle“ eingesetzt. Auch die Heranführung an Geographische Informationssysteme ist ein wesentlicher Teil der Ausbildung. Dieser Beitrag stellt nach nun vier Jahren „Wahrnehmung und Analyse von Räumen“ die Entwicklung des Moduls dar, und zeigt die wichtigsten Erkenntnisse aus der Sicht der Lehrenden."}],"issue":"4","department":[{"_id":"DEP9013"}],"user_id":"15514","type":"scientific_journal_article","_id":"9856","place":"Berlin","alternative_title":["WAHRNEHMUNG UND ANALYSE VON RÄUMEN – EIN INTERDISZIPLINÄRES  LEHRMODUL IN DER UNIVERSITÄREN LANDSCHAFTSPLANUNGSAUSBILDUNG"],"citation":{"ama":"Leiner C, Stemmer B. Teaching Landscape Planning - Landscape Perception and Analysis. <i>gisScience</i>. 2011;(4):105-110.","ieee":"C. Leiner and B. Stemmer, “Teaching Landscape Planning - Landscape Perception and Analysis,” <i>gis.Science</i>, no. 4, pp. 105–110, 2011.","van":"Leiner C, Stemmer B. Teaching Landscape Planning - Landscape Perception and Analysis. gisScience. 2011;(4):105–10.","mla":"Leiner, Claas, and Boris Stemmer. “Teaching Landscape Planning - Landscape Perception and Analysis.” <i>Gis.Science</i>, no. 4, 2011, pp. 105–10.","bjps":"<b>Leiner C and Stemmer B</b> (2011) Teaching Landscape Planning - Landscape Perception and Analysis. <i>gis.Science</i> 105–110.","havard":"C. Leiner, B. Stemmer, Teaching Landscape Planning - Landscape Perception and Analysis, Gis.Science. (2011) 105–110.","ufg":"<b>Leiner, Claas/Stemmer, Boris</b>: Teaching Landscape Planning - Landscape Perception and Analysis, in: <i>gis.Science</i> (2011), H. 4,  S. 105–110.","apa":"Leiner, C., &#38; Stemmer, B. (2011). Teaching Landscape Planning - Landscape Perception and Analysis. <i>Gis.Science</i>, <i>4</i>, 105–110.","chicago":"Leiner, Claas, and Boris Stemmer. “Teaching Landscape Planning - Landscape Perception and Analysis.” <i>Gis.Science</i>, no. 4 (2011): 105–10.","short":"C. Leiner, B. Stemmer, Gis.Science (2011) 105–110.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Leiner, Claas</span> ; <span style=\"font-variant:small-caps;\">Stemmer, Boris</span>: Teaching Landscape Planning - Landscape Perception and Analysis. In: <i>gis.Science</i>. Berlin, Wichmann (2011), Nr. 4, S. 105–110","chicago-de":"Leiner, Claas und Boris Stemmer. 2011. Teaching Landscape Planning - Landscape Perception and Analysis. <i>gis.Science</i>, Nr. 4: 105–110."},"title":"Teaching Landscape Planning - Landscape Perception and Analysis","extern":"1","status":"public","page":"105–110","year":"2011","author":[{"full_name":"Leiner, Claas","last_name":"Leiner","first_name":"Claas"},{"id":"64889","first_name":"Boris","full_name":"Stemmer, Boris","last_name":"Stemmer"}],"main_file_link":[{"open_access":"1","url":"https://gispoint.de/index.php?eID=dumpFile&t=f&f=13220&token=34e95e0810ebc46f00cd15f2b8ccdaa2d92d60f7&download="}],"date_updated":"2023-05-11T14:46:20Z","publication_identifier":{"eissn":["2698-4571"],"issn":["1869-9391 "]},"publication":"gis.Science","date_created":"2023-04-24T09:11:32Z","keyword":["Universitarian teaching","GIS","e-learning","bologna process"],"language":[{"iso":"eng"}],"oa":"1"},{"oa":"1","_id":"2087","language":[{"iso":"eng"}],"keyword":["Fuzzy Logic","Probability Theory","Fuzzy-Pattern-Classification","Machine Learning","Artificial Intelligence","Pattern Recognition"],"type":"conference","date_created":"2019-12-02T08:15:18Z","publication":"IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems","date_updated":"2023-03-15T13:49:38Z","user_id":"45673","abstract":[{"lang":"eng","text":"It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions."}],"department":[{"_id":"DEP5023"}],"main_file_link":[{"open_access":"1","url":"https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf"}],"year":2010,"author":[{"last_name":"Mönks","first_name":"Uwe","full_name":"Mönks, Uwe","id":"1825"},{"id":"1804","first_name":"Volker","last_name":"Lohweg","full_name":"Lohweg, Volker","orcid":"0000-0002-3325-7887"},{"first_name":"Denis","full_name":"Petker, Denis","last_name":"Petker"}],"publisher":"28 Jun 2010 - 02 July 2010, Dortmund, Germany","status":"public","title":"Fuzzy-Pattern-Classifier Training with Small Data Sets","publication_status":"published","citation":{"chicago-de":"Mönks, Uwe, Volker Lohweg und Denis Petker. 2010. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span> ; <span style=\"font-variant:small-caps;\">Petker, Denis</span>: Fuzzy-Pattern-Classifier Training with Small Data Sets. In: <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i> : 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010","short":"U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.","bjps":"<b>Mönks U, Lohweg V and Petker D</b> (2010) Fuzzy-Pattern-Classifier Training with Small Data Sets. <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.","mla":"Mönks, Uwe, et al. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.","havard":"U. Mönks, V. Lohweg, D. Petker, Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.","ufg":"<b>Mönks, Uwe et. al. (2010)</b>: Fuzzy-Pattern-Classifier Training with Small Data Sets, in: <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>.","van":"Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.","chicago":"Mönks, Uwe, Volker Lohweg, and Denis Petker. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” In <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>. 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.","apa":"Mönks, U., Lohweg, V., &#38; Petker, D. (2010). Fuzzy-Pattern-Classifier Training with Small Data Sets. In <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.","ama":"Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.","ieee":"U. Mönks, V. Lohweg, and D. Petker, “Fuzzy-Pattern-Classifier Training with Small Data Sets,” in <i>IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems</i>, 2010."}}]