Anzahl der Publikationen: 3
	Buchbeitrag
    Rapp, Michael  ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0001-8570-8240; Mencía, Eneldo Loza; Fürnkranz, Johannes; Nguyen, Vu-Linh und Hüllermeier, Eyke  ORCID: https://orcid.org/0000-0002-9944-4108
  
(Februar 2021):
		Learning Gradient Boosted Multi-label Classification Rules.
	
	  In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):  
	  
	  Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science,   Bd. 12459.  Cham: Springer. S. 124-140
	
  
      
        
          
             [PDF, 543kB]
ORCID: https://orcid.org/0000-0002-9944-4108
  
(Februar 2021):
		Learning Gradient Boosted Multi-label Classification Rules.
	
	  In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):  
	  
	  Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science,   Bd. 12459.  Cham: Springer. S. 124-140
	
  
      
        
          
             [PDF, 543kB]
          
        
      
 
    Pölsterl, Sebastian und Wachinger, Christian
  
(2021):
		Adversarial Learned Molecular Graph Inference and Generation.
	
	  In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):  
	  
	  Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science (LNCS),   Bd. 12458.  Cham: Springer. S. 173-189
	
  
      
        
      
 
    Bender, Andreas  ORCID: https://orcid.org/0000-0001-5628-8611; Rügamer, David
ORCID: https://orcid.org/0000-0001-5628-8611; Rügamer, David  ORCID: https://orcid.org/0000-0002-8772-9202; Scheipl, Fabian
ORCID: https://orcid.org/0000-0002-8772-9202; Scheipl, Fabian  ORCID: https://orcid.org/0000-0001-8172-3603 und Bischl, Bernd
ORCID: https://orcid.org/0000-0001-8172-3603 und Bischl, Bernd  ORCID: https://orcid.org/0000-0001-6002-6980
  
(2021):
		A General Machine Learning Framework for Survival Analysis.
	
	  In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):  
	  
	  Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science (LNCS),   Bd. 12459.  Cham: Springer. S. 158-173
ORCID: https://orcid.org/0000-0001-6002-6980
  
(2021):
		A General Machine Learning Framework for Survival Analysis.
	
	  In: Hutter, Frank; Kersting, Kristian; Lijffijt, Jefrey und Valera, Isabel (Hrsg.):  
	  
	  Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III. Lecture Notes in Computer Science (LNCS),   Bd. 12459.  Cham: Springer. S. 158-173
	
  
      
        
      
 
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