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2020 – today
- 2021
[i1]Federico López, Martin Scholz, Jessica Yung, Marie Pellat, Michael Strube, Lucas Dixon:
Augmenting the User-Item Graph with Textual Similarity Models. CoRR abs/2109.09358 (2021)- 2020
- [c29]Martin Scholz, Jacqueline Klusik-Eckert:
Aufbau und Erfahrungen aus dem Digital Humanities Lab der Universität Erlangen-Nürnberg. DHd 2020
2010 – 2019
- 2018
- [c28]Martin Scholz, Sarah Wagner:
Digitale Sammlungserschließung mit WissKI und CIDOC CRM. DHd 2018 - [c27]Sarah Wagner, Martin Scholz, Udo Andraschke:
Objekte im Netz - Die Digitalisierung der Sammlungen der Universität Erlangen-Nürnberg als Gegenstand und Methode. DHd 2018 - 2016
- [c26]Martin Scholz, Guenther Goerz, Sarah Wagner, Mark Fichtner:
Darstellung heterogenen und dynamischen Wissens mit CIDOC CRM und WissKI. DHd 2016 - [c25]Martin Scholz, Dorian Merz, Guenther Goerz:
Working with WissKI - A Virtual Research Environment for Object Documentation and Object-Based Research. DH 2016: 944-945 - 2015
- [j7]Jörg Wettlaufer, Christopher Johnson, Martin Scholz, Mark Fichtner, Sree Ganesh Thotempudi:
Semantic Blumenbach: Exploration of Text-Object Relationships with Semantic Web Technology in the History of Science. Digit. Scholarsh. Humanit. 30(Suppl-1): i187-i198 (2015) - [c24]Martin Scholz, Udo Andraschke:
Digitalisierung der Universitätssammlungen der FAU Erlangen-Nürnberg. Auf dem Weg zum Semantic Web in Eigenregie. DHd 2015 - 2013
- [c23]Martin Scholz:
A Mapping of CIDOC CRM Events to German Wordnet for Event Detection in Texts. CRMEX@TPDL 2013: 1-10 - 2012
- [c22]Martin Scholz, Guenther Goerz:
WissKI: A Virtual Research Environment for Cultural Heritage. ECAI 2012: 1017-1018 - 2010
- [j6]Guenther Goerz, Martin Scholz:
Adaptation of NLP Techniques to Cultural Heritage Research and Documentation. J. Comput. Inf. Technol. 18(4) (2010) - [j5]George Forman, Martin Scholz:
Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement. SIGKDD Explor. 12(1): 49-57 (2010)
2000 – 2009
- 2009
- [c21]Ron Bekkerman, Martin Scholz, Krishnamurthy Viswanathan:
Improving clustering stability with combinatorial MRFs. KDD 2009: 99-108 - [c20]George Forman, Martin Scholz, Shyamsundar Rajaram:
Feature shaping for linear SVM classifiers. KDD 2009: 299-308 - [c19]Rong Pan, Martin Scholz:
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. KDD 2009: 667-676 - [c18]Guenther Goerz, Martin Scholz:
Content Analysis of Museum Documentation in a Transdisciplinary Perspective. LaTeCH - SHELT&R@EACL 2009: 1-9 - 2008
- [c17]Ron Bekkerman, Martin Scholz:
Data weaving: scaling up the state-of-the-art in data clustering. CIKM 2008: 1083-1092 - [c16]Rong Pan, Yunhong Zhou, Bin Cao
, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang:
One-Class Collaborative Filtering. ICDM 2008: 502-511 - [c15]Shyamsundar Rajaram, Martin Scholz:
Client-Friendly Classification over Random Hyperplane Hashes. ECML/PKDD (2) 2008: 250-265 - [c14]Somnath Banerjee, Martin Scholz:
Leveraging Web 2.0 Sources for Web Content Classification. Web Intelligence 2008: 300-306 - 2007
- [b1]Martin Scholz:
Scalable and accurate knowledge discovery in real world databases. Dortmund University of Technology, 2007 - [j4]Martin Scholz, Ralf Klinkenberg:
Boosting classifiers for drifting concepts. Intell. Data Anal. 11(1): 3-28 (2007) - [j3]Wolfgang Konen, S. Tombrock, Martin Scholz:
Robust registration procedures for endoscopic imaging. Medical Image Anal. 11(6): 526-539 (2007) - [c13]Wolfgang Konen, Beate Breiderhoff, Martin Scholz:
Real-Time Image Mosaic for Endoscopic Video Sequences. Bildverarbeitung für die Medizin 2007: 298-302 - [c12]Martin Scholz, Oliver Fiehn:
Setup X - A Public Study Design Database for Metabolomic Projects. Pacific Symposium on Biocomputing 2007: 169-180 - 2006
- [c11]Martin Scholz:
Boosting in PN Spaces. ECML 2006: 377-388 - [c10]Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler:
YALE: rapid prototyping for complex data mining tasks. KDD 2006: 935-940 - [c9]Michael Wurst, Martin Scholz:
Distributed Subgroup Mining. PKDD 2006: 421-433 - 2005
- [c8]Oliver Fiehn, Gert Wohlgemuth, Martin Scholz:
Setup and Annotation of Metabolomic Experiments by Integrating Biological and Mass Spectrometric Metadata. DILS 2005: 224-239 - [c7]Martin Scholz:
On the Tractability of Rule Discovery from Distributed Data. ICDM 2005: 761-764 - [c6]Martin Scholz:
Sampling-based sequential subgroup mining. KDD 2005: 265-274 - 2004
- [j2]Christophe Foussette, Daniel Hakenjos, Martin Scholz:
KDD-Cup 2004: protein homology task. SIGKDD Explor. 6(2): 128-131 (2004) - [c5]Martin Scholz:
Knowledge-Based Sampling for Subgroup Discovery. Local Pattern Detection 2004: 171-189 - 2003
- [c4]Harald Eufinger, Martin Scholz, Kirsten Schmieder, Stephan Weihe, Michael Wehmöller:
Skull bone reconstruction after hemicraniectomy with a prefabricated implant. CARS 2003: 716-719 - 2002
- [c3]Katharina Morik, Martin Scholz:
The MiningMart Approach. GI Jahrestagung 2002: 811-816 - 2001
- [c2]Harald Eufinger, Martin Scholz, Michael Wehmöller:
Craniofacial growth disturbances after frontobasal trauma and craniotomy at the age of 4 years - implications for the timing of CAD/CAM-cranioplasties. CARS 2001: 1232-1233
1990 – 1999
- 1998
- [j1]Raschid Karabek, Martin Scholz:
A transport protocol for native mode ATM networks design and implementation. Comput. Commun. 21(12): 1080-1089 (1998) - 1997
- [c1]Martin Scholz:
Abstraktion und Naturalismus in der Praxis der digitalen Bildherstellung. Herausforderungen an die Wissensorganisation (ISKO Tagung) 1997: 53-62
Coauthor Index
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