Deformation styles for spline-based skeletal animation. - Sven Forstmann; Jun Ohya; Artus Krohn-Grimberghe; Ryan McDougall (Symposium on Computer Animation, 2007)

Integrating OLAP and recommender systems: an evaluation perspective. - Artus Krohn-Grimberghe; Alexandros Nanopoulos; Lars Schmidt-Thieme (DOLAP, 2010)

Mining Music Playlogs for Next Song Recommendations. - André Busche; Artus Krohn-Grimberghe; Lars Schmidt-Thieme (LWA, 2010)

A Novel Multidimensional Framework for Evaluating Recommender Systems. - Artus Krohn-Grimberghe; Alexandros Nanopoulos; Lars Schmidt-Thieme (LWA, 2010)

Recommender system for predicting student performance. - Nguyen Thai-Nghe; Lucas Drumond; Artus Krohn-Grimberghe; Lars Schmidt-Thieme (RecSysTEL@RecSys, 2010)

Active Learning for Technology Enhanced Learning. - Artus Krohn-Grimberghe; André Busche; Alexandros Nanopoulos; Lars Schmidt-Thieme (EC-TEL, 2011)

Multi-relational matrix factorization using bayesian personalized ranking for social network data. - Artus Krohn-Grimberghe; Lucas Drumond; Christoph Freudenthaler; Lars Schmidt-Thieme (WSDM, 2012)

Bitcoin: Eine erste Einordnung. - Christoph Sorge; Artus Krohn-Grimberghe (Datenschutz und Datensicherheit, 2012)

Analysis and evaluation of multi-relational recommender systems. - Artus Krohn-Grimberghe (2012)

Practical Aspects of the Bitcoin System. - Artus Krohn-Grimberghe; Christoph Sorge (CoRR, 2013)

Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification. - Lucas Rêgo Drumond; Lars Schmidt-Thieme; Christoph Freudenthaler; Artus Krohn-Grimberghe (PAKDD (1), 2014)

Computer Vision for Head Pose Estimation: Review of a Competition. - Heikki Huttunen; Ke Chen 004; Abhishek Thakur; Artus Krohn-Grimberghe; Oguzhan Gencoglu; Xingyang Ni; Mohammed Al-Musawi; Lei Xu 036; Hendrik Jacob van Veen (SCIA, 2015)

AutoCompete: A Framework for Machine Learning Competition. - Abhishek Thakur; Artus Krohn-Grimberghe (CoRR, 2015)

SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System. - Nidhi Kushwaha; Xudong Sun 002; O. P. Vyas 001; Artus Krohn-Grimberghe (PAAMS (Special Sessions), 2016)

Service-oriented Cost Allocation for Business Intelligence and Analytics: Who pays for BI&A? - Raphael Grytz; Artus Krohn-Grimberghe (HICSS, 2017)

An Interval Distribution Analysis for RTI+. - Fabian Witter; Timo Klerx; Artus Krohn-Grimberghe (ICPRAM, 2017)

Cloud computing in optimizing supply chain management of automotive component industry. - Artus Krohn-Grimberghe; Akriti Gupta; Aman Chadha; Ranjana Vyas (IML, 2017)

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet. - Naimish Agarwal; Artus Krohn-Grimberghe; Ranjana Vyas (CoRR, 2017)

Service-Oriented Cost Allocation for Business Intelligence and Analytics: Helping Service Consumers to Increase Business Value. - Raphael Grytz; Artus Krohn-Grimberghe (Int. J. Syst. Serv. Oriented Eng., 2017)

Business Intelligence & Analytics Cost Accounting: A Survey on the Perceptions of Stakeholders. - Raphael Grytz; Artus Krohn-Grimberghe (HICSS, 2018)

Business Intelligence & Analytics Cost Accounting: Review and Synthesis of the Literature. - Raphael Grytz; Artus Krohn-Grimberghe (PACIS, 2018)

Business Intelligence and Analytics Cost Accounting: An Empirical Study of the Perceptions of Stakeholders and Their Implications. - Raphael Grytz; Artus Krohn-Grimberghe (Int. J. Syst. Serv. Oriented Eng., 2018)

Multi-stage Reinforcement Learning for Object Detection. - Jonas König; Simon Malberg; Martin Martens; Sebastian Niehaus; Artus Krohn-Grimberghe; Arunselvan Ramaswamy (CVC (1), 2019)

Business Intelligence & Analytics Cost Accounting: an Action Design Research Approach. - Raphael Grytz; Artus Krohn-Grimberghe; Oliver Müller (ECIS, 2020)