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Cristian Axenie
Cristian Axenie
Technische Hochschule Nürnberg Georg Simon Ohm
Bestätigte E-Mail-Adresse bei th-nuernberg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Cortically inspired sensor fusion network for mobile robot egomotion estimation
C Axenie, J Conradt
Robotics and Autonomous Systems 71, 69-82, 2015
382015
Status and recommendations of technological and data-driven innovations in cancer care: Focus group study
H Kondylakis, C Axenie, D Bastola, DG Katehakis, A Kouroubali, D Kurz, ...
Journal of medical Internet research 22 (12), e22034, 2020
162020
A self-synthesis approach to perceptual learning for multisensory fusion in robotics
C Axenie, C Richter, J Conradt
Sensors 16 (10), 1751, 2016
152016
Less is more: learning insights from a single motion sensor for accurate and explainable soccer goalkeeper kinematics
G Lisca, C Prodaniuc, T Grauschopf, C Axenie
IEEE Sensors Journal 21 (18), 20375-20387, 2021
142021
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour
F Mirus, C Axenie, TC Stewart, J Conradt
Cognitive Systems Research 50, 52-66, 2018
132018
Moira: A goal-oriented incremental machine learning approach to dynamic resource cost estimation in distributed stream processing systems
D Foroni, C Axenie, S Bortoli, M Al Hajj Hassan, R Acker, R Tudoran, ...
Proceedings of the international workshop on real-time business intelligence …, 2018
112018
Cortically inspired sensor fusion network for mobile robot heading estimation
C Axenie, J Conradt
Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013
112013
Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation
N Cogno, C Axenie, R Bauer, V Vavourakis
Cancer Biology & Therapy 25 (1), 2344600, 2024
92024
Device and method for anomaly detection on an input stream of events
C Axenie, R Tudoran, S Bortoli, MAH Hassan, G Brasche
US Patent App. 17/140,882, 2021
92021
Chimera: Combining mechanistic models and machine learning for personalized chemotherapy and surgery sequencing in breast cancer
C Axenie, D Kurz
Mathematical and Computational Oncology: Second International Symposium …, 2020
9*2020
GANNSTER: graph-augmented neural network spatio-temporal reasoner for traffic forecasting
C Salort Sánchez, A Wieder, P Sottovia, S Bortoli, J Baumbach, C Axenie
Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop …, 2020
92020
FPGA-based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization
I Sugiarto, C Axenie, J Conradt
Journal of Circuits, Systems, and Computers, 2018
92018
Cognitive maps for indirect coordination of intelligent agents
I Susnea, C Axenie
Studies in Informatics and Control 24 (1), 111-118, 2015
92015
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO
Z Meng, X Du, P Sottovia, D Foroni, C Axenie, A Wieder, D Eckhoff, ...
SUMO Conference Proceedings 3, 181-197, 2022
82022
Antifragile control systems: The case of an anti-symmetric network model of the tumor-immune-drug interactions
C Axenie, D Kurz, M Saveriano
Symmetry 14 (10), 2034, 2022
82022
Predictive maintenance dataset
C Axenie, S Bortoli
Version v1. 0.0). Zenodo. doi 10, 2020
82020
STARLORD: sliding window temporal accumulate-retract learning for online reasoning on datastreams
C Axenie, R Tudoran, S Bortoli, MAH Hassan, D Foroni, G Brasche
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
72018
Antifragile Control Systems: The case of mobile robot trajectory tracking under uncertainty and volatility
C Axenie, M Saveriano
IEEE Access, 2023
62023
System and method for stream processing
R Tudoran, S Bortoli, X Zhu, G Brasche, C Axenie
US Patent 11,487,764, 2022
62022
Tumor characterization using unsupervised learning of mathematical relations within breast cancer data
C Axenie, D Kurz
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
62020
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