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Kostadin Cvejoski
Kostadin Cvejoski
Email verificata su iais.fraunhofer.de
Titolo
Citata da
Citata da
Anno
Ising models for binary clustering via adiabatic quantum computing
C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel
International Workshop on Energy Minimization Methods in Computer Vision and …, 2017
262017
Adiabatic quantum computing for binary clustering
C Bauckhage, E Brito, K Cvejoski, C Ojeda, R Sifa, S Wrobel
arXiv preprint arXiv:1706.05528, 2017
52017
Towards shortest paths via adiabatic quantum computing
C Bauckhage, E Brito, K Cvejoski, C Ojeda, J Schücker, R Sifa
Proc. Mining Learn. Graphs, 2018
32018
Interpretable matrix factorization with stochasticity constrained nonnegative DEDICOM
R Sifa, C Ojeda, K Cvejoski, C Bauckhage
Proceedings of KDML-LWDA, 2017
32017
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, 59-62, 2017
32017
Variable Attention and Variable Noise: Forecasting User Activity.
C Ojeda, K Cvejoski, R Sifa, C Bauckhage
LWDA, 347-358, 2016
32016
Recurrent point processes for dynamic review models
K Cvejoski, RJ Sanchez, B Georgiev, J Schuecker, C Bauckhage, ...
arXiv preprint arXiv:1912.04132, 2019
22019
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
22017
Introduction to machine learning with robots and playful learning
V Olari, K Cvejoski, Ø Eide
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15630 …, 2021
12021
Generative Deep Learning Techniques for Password Generation
D Biesner, K Cvejoski, B Georgiev, R Sifa, E Krupicka
arXiv preprint arXiv:2012.05685, 2020
12020
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
12020
Patterns and outliers in temporal point processes
CAM Ojeda, K Cvejoski, R Sifa, J Schuecker, C Bauckhage
Proceedings of SAI Intelligent Systems Conference, 507-526, 2019
12019
Adiabatic Quantum argmax Computation
C Bauckhage, K Cvejoski, C Ojeda, J Schücker, R Sifa
researchgate, Tech. Rep, 2018
12018
Beyond spectral clustering: a comparative study of community detection for document clustering
C Backhage, K Cvejoski, C Ojeda, R Sifa
Data Science–Analytics and Applications, 33-38, 2017
12017
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
J Wörmann, D Bogdoll, E Bührle, H Chen, EF Chuo, K Cvejoski, L van Elst, ...
arXiv preprint arXiv:2205.04712, 2022
2022
Dynamic Review-based Recommenders
K Cvejoski, RJ Sanchez, C Bauckhage, C Ojeda
arXiv preprint arXiv:2110.14747, 2021
2021
Combining expert knowledge and neural networks to model environmental stresses in agriculture
K Cvejoski, J Schuecker, AK Mahlein, B Georgiev
arXiv preprint arXiv:2111.00918, 2021
2021
Advances in Password Recovery Using Generative Deep Learning Techniques
D Biesner, K Cvejoski, B Georgiev, R Sifa, E Krupicka
International Conference on Artificial Neural Networks, 15-27, 2021
2021
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
2021
Auto Encoding Explanatory Examples with Stochastic Paths
C Ojeda, RJ Sánchez, K Cvejoski, J Schücker, C Bauckhagez, ...
2020 25th International Conference on Pattern Recognition (ICPR), 6219-6226, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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