Artus Krohn-Grimberghe

According to our database1, Artus Krohn-Grimberghe authored at least 24 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Business Intelligence & Analytics Cost Accounting: an Action Design Research Approach.
Proceedings of the 28th European Conference on Information Systems, 2020

2019
Multi-stage Reinforcement Learning for Object Detection.
Proceedings of the Advances in Computer Vision, 2019

2018
Business Intelligence and Analytics Cost Accounting: An Empirical Study of the Perceptions of Stakeholders and Their Implications.
Int. J. Syst. Serv. Oriented Eng., 2018

Business Intelligence & Analytics Cost Accounting: Review and Synthesis of the Literature.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Business Intelligence & Analytics Cost Accounting: A Survey on the Perceptions of Stakeholders.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Service-Oriented Cost Allocation for Business Intelligence and Analytics: Helping Service Consumers to Increase Business Value.
Int. J. Syst. Serv. Oriented Eng., 2017

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet.
CoRR, 2017

Cloud computing in optimizing supply chain management of automotive component industry.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

An Interval Distribution Analysis for RTI+.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Service-oriented Cost Allocation for Business Intelligence and Analytics: Who pays for BI&A?
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

2015
AutoCompete: A Framework for Machine Learning Competition.
CoRR, 2015

Computer Vision for Head Pose Estimation: Review of a Competition.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

2014
Collective Matrix Factorization of Predictors, Neighborhood and Targets for Semi-supervised Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Practical Aspects of the Bitcoin System.
CoRR, 2013

2012
Analysis and evaluation of multi-relational recommender systems.
PhD thesis, 2012

Bitcoin: Eine erste Einordnung.
Datenschutz und Datensicherheit, 2012

Multi-relational matrix factorization using bayesian personalized ranking for social network data.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

2011
Active Learning for Technology Enhanced Learning.
Proceedings of the Towards Ubiquitous Learning, 2011

2010
Recommender system for predicting student performance.
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

A Novel Multidimensional Framework for Evaluating Recommender Systems.
Proceedings of the LWA 2010, 2010

Mining Music Playlogs for Next Song Recommendations.
Proceedings of the LWA 2010, 2010

Integrating OLAP and recommender systems: an evaluation perspective.
Proceedings of the DOLAP 2010, 2010

2007
Deformation styles for spline-based skeletal animation.
Proceedings of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2007


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