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ORCIDArtus Krohn-Grimberghe
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2020 – today
- 2020
[c18]Raphael Grytz, Artus Krohn-Grimberghe, Oliver Müller:
Business Intelligence & Analytics Cost Accounting: an Action Design Research Approach. ECIS 2020
2010 – 2019
- 2019
- [c17]Jonas König, Simon Malberg
, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy:
Multi-stage Reinforcement Learning for Object Detection. CVC (1) 2019: 178-191 - 2018
- [j3]Raphael Grytz, Artus Krohn-Grimberghe:
Business Intelligence and Analytics Cost Accounting: An Empirical Study of the Perceptions of Stakeholders and Their Implications. Int. J. Syst. Serv. Oriented Eng. 8(3): 37-59 (2018) - [c16]Raphael Grytz, Artus Krohn-Grimberghe:
Business Intelligence & Analytics Cost Accounting: A Survey on the Perceptions of Stakeholders. HICSS 2018: 1-10 - [c15]Raphael Grytz, Artus Krohn-Grimberghe:
Business Intelligence & Analytics Cost Accounting: Review and Synthesis of the Literature. PACIS 2018: 135 - [i4]Jonas König, Simon Malberg, Martin Martens, Sebastian Niehaus, Artus Krohn-Grimberghe, Arunselvan Ramaswamy:
Multi-Stage Reinforcement Learning For Object Detection. CoRR abs/1810.10325 (2018) - 2017
- [j2]Raphael Grytz, Artus Krohn-Grimberghe:
Service-Oriented Cost Allocation for Business Intelligence and Analytics: Helping Service Consumers to Increase Business Value. Int. J. Syst. Serv. Oriented Eng. 7(2): 40-57 (2017) - [c14]Raphael Grytz, Artus Krohn-Grimberghe:
Service-oriented Cost Allocation for Business Intelligence and Analytics: Who pays for BI&A? HICSS 2017: 1-10 - [c13]Fabian Witter, Timo Klerx, Artus Krohn-Grimberghe:
An Interval Distribution Analysis for RTI+. ICPRAM 2017: 351-358 - [c12]Artus Krohn-Grimberghe, Akriti Gupta, Aman Chadha, Ranjana Vyas:
Cloud computing in optimizing supply chain management of automotive component industry. IML 2017: 71:1-71:3 - [i3]Naimish Agarwal, Artus Krohn-Grimberghe, Ranjana Vyas:
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet. CoRR abs/1710.00977 (2017) - 2016
- [c11]Nidhi Kushwaha, Xudong Sun, O. P. Vyas, Artus Krohn-Grimberghe:
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. PAAMS (Special Sessions) 2016: 327-334 - 2015
- [c10]Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen:
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA 2015: 65-75 - [i2]Abhishek Thakur, Artus Krohn-Grimberghe:
AutoCompete: A Framework for Machine Learning Competition. CoRR abs/1507.02188 (2015) - 2014
- [c9]Lucas Rêgo Drumond, Lars Schmidt-Thieme, Christoph Freudenthaler, Artus Krohn-Grimberghe:
Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification. PAKDD (1) 2014: 286-297 - 2013
- [i1]Artus Krohn-Grimberghe, Christoph Sorge:
Practical Aspects of the Bitcoin System. CoRR abs/1308.6760 (2013) - 2012
- [b1]Artus Krohn-Grimberghe:
Analysis and evaluation of multi-relational recommender systems. University of Hildesheim, 2012, ISBN 978-3-00-038149-2, pp. 1-158 - [j1]Christoph Sorge, Artus Krohn-Grimberghe:
Bitcoin: Eine erste Einordnung. Datenschutz und Datensicherheit 36(7): 479-484 (2012) - [c8]Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, Lars Schmidt-Thieme:
Multi-relational matrix factorization using bayesian personalized ranking for social network data. WSDM 2012: 173-182 - 2011
- [c7]Artus Krohn-Grimberghe, André Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Active Learning for Technology Enhanced Learning. EC-TEL 2011: 512-518 - [c6]Artus Krohn-Grimberghe, André Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Active Learning for Technology Enhanced Learning. LWA 2011: 28-31 - 2010
- [c5]Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Integrating OLAP and recommender systems: an evaluation perspective. DOLAP 2010: 85-92 - [c4]André Busche, Artus Krohn-Grimberghe, Lars Schmidt-Thieme:
Mining Music Playlogs for Next Song Recommendations. LWA 2010: 35-38 - [c3]Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme:
A Novel Multidimensional Framework for Evaluating Recommender Systems. LWA 2010: 113-120 - [c2]Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimberghe, Lars Schmidt-Thieme:
Recommender system for predicting student performance. RecSysTEL@RecSys 2010: 2811-2819
2000 – 2009
- 2007
- [c1]Sven Forstmann, Jun Ohya, Artus Krohn-Grimberghe, Ryan McDougall:
Deformation styles for spline-based skeletal animation. Symposium on Computer Animation 2007: 141-150
Coauthor Index
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