Follow
César Ojeda
César Ojeda
Post Doc
Verified email at uni-potsdam.de
Title
Cited by
Cited by
Year
Ising models for binary clustering via adiabatic quantum computing
C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel
Energy Minimization Methods in Computer Vision and Pattern Recognition: 11th …, 2018
352018
Predicting retention in sandbox games with tensor factorization-based representation learning
R Sifa, S Srikanth, A Drachen, C Ojeda, C Bauckhage
2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016
352016
Adiabatic Quantum Computing for Kernel k= 2 Means Clustering.
C Bauckhage, C Ojeda, R Sifa, S Wrobel
LWDA, 21-32, 2018
242018
User churn migration analysis with DEDICOM
R Sifa, C Ojeda, C Bauckhage
Proceedings of the 9th ACM Conference on Recommender Systems, 321-324, 2015
172015
Adiabatic quantum computing for binary clustering
C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel
arXiv preprint arXiv:1706.05528, 2017
112017
Informed machine learning through functional composition.
C Bauckhage, C Ojeda, J Schücker, R Sifa, S Wrobel
LWDA, 33-37, 2018
92018
Comparison between different oxygen adsorption mechanisms for the catalytic oxidation of CO on a surface
C Ojeda, GM Buendía
Journal of Computational Methods in Sciences and Engineering 12 (4-6), 261-267, 2012
82012
Towards shortest paths via adiabatic quantum computing
C Bauckhage, E Brito, K Cvejoski, C Ojeda, J Schücker, R Sifa
Proc. Mining Learn. Graphs, 2018
72018
Variational Bayesian inference for nonlinear Hawkes process with Gaussian process self-effects
N Malem-Shinitski, C Ojeda, M Opper
Entropy 24 (3), 356, 2022
62022
Learning deep generative models for queuing systems
C Ojeda, K Cvejoski, B Georgiev, C Bauckhage, J Schuecker, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9214-9222, 2021
62021
A score-based approach for training schrödinger bridges for data modelling
L Winkler, C Ojeda, M Opper
Entropy 25 (2), 316, 2023
52023
Stochastic Control for Bayesian Neural Network Training
L Winkler, C Ojeda, M Opper
Entropy 24 (8), 1097, 2022
52022
Dynamic Review-based Recommenders
K Cvejoski, RJ Sánchez, C Bauckhage, C Ojeda
Data Science–Analytics and Applications: Proceedings of the 4th …, 2022
52022
Towards German word embeddings: A use case with predictive sentiment analysis
E Brito, R Sifa, K Cvejoski, C Ojeda, C Bauckhage
Data Science–Analytics and Applications: Proceedings of the 1st …, 2017
52017
Circadian cycles and work under pressure: A stochastic process model for e-learning population dynamics
C Backhage, C Ojeda, R Sifa
Data Science–Analytics and Applications: Proceedings of the 1st …, 2017
52017
Neural dynamic focused topic model
K Cvejoski, RJ Sánchez, C Ojeda
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12719 …, 2023
42023
Inverse dynamical inheritance in stack exchange taxonomies
C Ojeda, K Cvejoski, R Sifa, C Bauckhage
Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017
42017
Recurrent point review models
K Cvejoski, RJ Sánchez, B Georgiev, C Bauckhage, C Ojeda
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Recurrent point processes for dynamic review models
K Cvejoski, RJ Sanchez, B Georgiev, J Schuecker, C Bauckhage, ...
arXiv preprint arXiv:1912.04132, 2019
32019
Interpretable matrix factorization with stochasticity constrained nonnegative DEDICOM
R Sifa, C Ojeda, K Cvejoski, C Bauckhage
Proc. KDML, 2017
32017
The system can't perform the operation now. Try again later.
Articles 1–20