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  2024 (3)
The Potential of Reinforcement Learning for Lumbar Load Prediction in Multi Body Models of the Spine. Gheorghe Lisca, M. K.; Tanja Lerchl, C. A.; and Thomas Grauschopf, V. S. In 15th International Conference on the Engineering of Sport, 2024. International Sports Engineering Association(ISEA)
The Potential of Reinforcement Learning for Lumbar Load Prediction in Multi Body Models of the Spine [pdf] paper   link   bibtex  
Exploring Antifragility in Traffic Networks: Anticipating and Gaining from Disruptions with Reinforcement Learning. Sun, L.; Makridis, M. A.; Genser, A.; Axenie, C.; Grossi, M.; and Kouvelas, A. In Transportation Research Board Annual Meeting 24, 2024. Transportation Research Board
Exploring Antifragility in Traffic Networks: Anticipating and Gaining from Disruptions with Reinforcement Learning [pdf] paper   link   bibtex  
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration. Axenie, C.; Scherr, W.; Wieder, A.; Torres, A. S.; Meng, Z.; Du, X.; Sottovia, P.; Foroni, D.; Grossi, M.; Bortoli, S.; and Brasche, G. Expert Systems with Applications, 241: 122590. 2024.
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration [link]Paper   Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration [pdf] paper   doi   link   bibtex  
  2023 (4)
Recipes for calibration and validation of agent-based models in cancer biomedicine. Cogno, N.; Axenie, C.; Bauer, R.; and Vavourakis, V. . 2023.
Recipes for calibration and validation of agent-based models in cancer biomedicine [pdf] paper   link   bibtex  
Exploring Antifragility in Urban Road Networks: Anticipating Disturbances with Reinforcement Learning. Sun, L.; Makridis, M. A.; Genser, A.; Axenie, C.; Grossi, M.; and Kouvelas, A. In 9 th International Symposium on Transportation Data & Modelling (ISTDM2023), 2023. European Comission, EU Science Hub
Exploring Antifragility in Urban Road Networks: Anticipating Disturbances with Reinforcement Learning [pdf] paper   link   bibtex   1 download  
A neurodynamic model of a high-dimensional vector associative memory for road traffic control optimization. Lolas, D.; and Axenie, C. . 3 2023.
A neurodynamic model of a high-dimensional vector associative memory for road traffic control optimization [link]Paper   doi   link   bibtex  
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. Axenie, C.; and Saveriano, M. 2023.
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty [link]Paper   doi   link   bibtex   1 download  
  2022 (6)
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics. Axenie, C.; and Grossi, M. 2022.
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics [link]Paper   doi   link   bibtex  
Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions. Axenie, C.; Kurz, D.; and Saveriano, M. Symmetry, 14(10): 2034. 2022.
Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions [pdf] paper   link   bibtex   1 download  
Reinforcement learning estimates muscle activation. Lisca, G.; Axenie, C.; Grauschopf, T.; and Senner, V. In 14 Symposium der DVS-Sektion Sportinformatik und Sporttechnologie (Spinfortec2022), 2022. DVS - Deutsche Vereinigung für Sportwissenschaft, Sektion „Sportinformatik und Sporttechnologie“
Reinforcement learning estimates muscle activation [pdf] paper   link   bibtex  
Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics. Emmanouil, A.; Jan, B.; Jonathan, A.; Lars, G.; Wei, W.; Axenie, C.; Alois, K.; and Auke, I. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. IEEE
Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics [pdf] paper   link   bibtex  
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO. Zhuoxiao, M.; Xiaorui, D.; Paolo, S.; Daniele, F.; Axenie, C.; Alexander, W.; David, E.; Stefano, B.; Alois, K.; and Sommer, C. In SUMO User Conference, 2022.
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO [pdf] paper   link   bibtex  
An open-source MLIR-based compiler for fast Sum-Product Network inference on CPUs and GPUs. Sommer, L.; Axenie, C.; and Koch, A. In In 2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO). , 2022.
An open-source MLIR-based compiler for fast Sum-Product Network inference on CPUs and GPUs [pdf] paper   link   bibtex  
  2021 (7)
Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs⋆. Sommer, L.; Axenie, C.; and Koch, A. . 2021.
Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs⋆ [pdf] paper   link   bibtex   3 downloads  
SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs. Sommer, L.; Halkenhäuser, M.; Axenie, C.; and Koch, A. In 2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), pages 53–56, 2021. IEEE
SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs [pdf] paper   link   bibtex   1 download  
Less Is More: Learning Insights From a Single Motion Sensor for Accurate and Explainable Soccer Goalkeeper Kinematics. Lisca, G.; Prodaniuc, C.; Grauschopf, T.; and Axenie, C. IEEE Sensors Journal, 21(18): 20375–20387. 2021.
Less Is More: Learning Insights From a Single Motion Sensor for Accurate and Explainable Soccer Goalkeeper Kinematics [pdf] paper   link   bibtex  
OBELISC: Oscillator-Based Modelling and Control using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. Axenie, C.; Shi, R.; Foroni, D.; Wieder, A.; Hassan, M. A. H.; Sottovia, P.; Grossi, M.; Bortoli, S.; and Brasche, G. In ECML-PKDD 2021, 2021.
OBELISC: Oscillator-Based Modelling and Control using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation [pdf] paper   link   bibtex   1 download  
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. Kurz, D.; Sánchez, C. S.; and Axenie, C. Frontiers in Artificial Intelligence, 4: 158. 2021.
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning [link]Paper   Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning [pdf] paper   doi   link   bibtex   1 download  
The Multiple Dimensions of Networks in Cancer: A Perspective. Axenie, C.; Bauer, R.; and Martı́nez, Marı́a Rodrı́guez Symmetry, 13(9): 1559. 2021.
The Multiple Dimensions of Networks in Cancer: A Perspective [pdf] paper   link   bibtex  
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. Axenie, C.; Shi, R.; Foroni, D.; Wieder, A.; Hassan, M. A. H.; Sottovia, P.; Grossi, M.; Bortoli, S.; and Brasche, G. In International Workshop on Advanced Analytics and Learning on Temporal Data, ECML-PKDD 2021, 2021. Springer, Cham
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control [pdf] paper   link   bibtex  
  2020 (10)
Learning Personalized Virtual Reality Avatars for Chemotherapy-Induced Peripheral Neuropathy Rehabilitation in Breast Cancer. Kurz, D.; and Axenie, C. In ONCOLOGY RESEARCH AND TREATMENT, volume 43, pages 166–166, 2020. KARGER ALLSCHWILERSTRASSE 10, CH-4009 BASEL, SWITZERLAND
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Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data. Axenie, C.; and Kurz, D. In International Conference on Artificial Neural Networks, pages 838–849, 2020. Springer, Cham
Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data [pdf] paper   link   bibtex  
A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing. Xiaorui, D.; Erdem, Y.; Schweizer, I.; and Axenie, C. arXiv preprint arXiv:2006.16607. 2020.
A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing [pdf] paper   link   bibtex  
Role of kinematics assessment and multimodal sensorimotor training for motion deficits in breast cancer chemotherapy-induced polyneuropathy: a perspective on virtual reality avatars. Axenie, C.; and Kurz, D. Frontiers in Oncology, 10: 1419. 2020.
Role of kinematics assessment and multimodal sensorimotor training for motion deficits in breast cancer chemotherapy-induced polyneuropathy: a perspective on virtual reality avatars [pdf] paper   link   bibtex   2 downloads  
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. Axenie, C.; and Kurz, D. In 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), pages 457–462, 2020. IEEE
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size [pdf] paper   link   bibtex  
GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting. Sánchez, C. S.; Wieder, A.; Sottovia, P.; Bortoli, S.; Baumbach, J.; and Axenie, C. In International Workshop on Advanced Analytics and Learning on Temporal Data, pages 63–76, 2020. Springer, Cham
GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting [pdf] paper   link   bibtex  
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. Axenie, C.; and Kurz, D. In International Symposium on Mathematical and Computational Oncology, pages 13–24, 2020. Springer, Cham
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer [pdf] paper   link   bibtex   1 download  
Status and recommendations of technological and data-driven innovations in cancer care: focus group study. Kondylakis, H.; Axenie, C.; Bastola, D. K.; Katehakis, D. G; Kouroubali, A.; Kurz, D.; Larburu, N.; Macı́a, Iván; Maguire, R.; Maramis, C.; and others Journal of medical Internet research, 22(12): e22034. 2020.
Status and recommendations of technological and data-driven innovations in cancer care: focus group study [pdf] paper   link   bibtex  
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. Kurz, D.; and Axenie, C. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 609–614, 2020. IEEE
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer [pdf] paper   link   bibtex  
Glueck: Growth pattern learning for unsupervised extraction of cancer kinetics. Axenie, C.; and Kurz, D. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 171–186, 2020. Springer, Cham
Glueck: Growth pattern learning for unsupervised extraction of cancer kinetics [pdf] paper   link   bibtex  
  2019 (7)
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality. Pohl, S.; Becher, A.; Grauschopf, T.; and Axenie, C. In International Conference on Artificial Neural Networks, pages 429–442, 2019. Springer, Cham
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality [pdf] paper   link   bibtex  
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. Axenie, C.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; and Brasche, G. In International Conference on Artificial Neural Networks, pages 253–266, 2019. Springer, Cham
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams [pdf] paper   link   bibtex   1 download  
Meta-learning for avatar kinematics reconstruction in virtual reality rehabilitation. Axenie, C.; Becher, A.; Kurz, D.; and Grauschopf, T. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pages 617–624, 2019. IEEE
Meta-learning for avatar kinematics reconstruction in virtual reality rehabilitation [pdf] paper   link   bibtex   2 downloads  
Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus. Sánchez, C. S.; Smyth, S.; Tully, E.; Griffin, J.; Heaphy, L.; Redmond, N.; Breathnach, F.; Baumbach, J.; and Axenie, C. In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pages 947–952, 2019. IEEE
Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus [pdf] paper   link   bibtex  
Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. Axenie, C.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; Sanchez, C. S.; and Brasche, G. In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), pages 1170–1177, 2019. IEEE
Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams [pdf] paper   link   bibtex   1 download  
An Online Incremental Clustering Framework for Real-Time Stream Analytics. Sanchez, C. S.; Tudoran, R.; Hassan, M. A. H.; Bortoli, S.; Brasche, G.; Baumbach, J.; and Axenie, C. In 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), pages 1480–1485, 2019. IEEE
An Online Incremental Clustering Framework for Real-Time Stream Analytics [pdf] paper   link   bibtex  
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. Axenie, C.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; Wieder, A.; and Brasche, G. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 333–344, 2019. Springer, Cham
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance [pdf] paper   link   bibtex  
  2018 (5)
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. Mirus, F.; Axenie, C.; Stewart, T. C; and Conradt, J. Cognitive Systems Research, 50: 52–66. 2018.
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour [pdf] paper   link   bibtex   2 downloads  
FPGA-based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. Sugiarto, I.; Axenie, C.; and Conradt, J. Journal of Circuits, Systems, and Computers. 2018.
FPGA-based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization [pdf] paper   link   bibtex   1 download  
Moira: A goal-oriented incremental machine learning approach to dynamic resource cost estimation in distributed stream processing systems. Foroni, D.; Axenie, C.; Bortoli, S.; Al Hajj Hassan, M.; Acker, R.; Tudoran, R.; Brasche, G.; and Velegrakis, Y. In Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, VLDB2018, pages 1–10, 2018.
Moira: A goal-oriented incremental machine learning approach to dynamic resource cost estimation in distributed stream processing systems [pdf] paper   link   bibtex  
STARLORD: sliding window temporal accumulate-retract learning for online reasoning on datastreams. Axenie, C.; Tudoran, R.; Bortoli, S.; Hassan, M. A. H.; Foroni, D.; and Brasche, G. In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1115–1122, 2018. IEEE
STARLORD: sliding window temporal accumulate-retract learning for online reasoning on datastreams [pdf] paper   link   bibtex  
VIRTOOAIR: virtual reality toolbox for avatar intelligent reconstruction. Becher, A.; Axenie, C.; and Grauschopf, T. In 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pages 275–279, 2018. IEEE
VIRTOOAIR: virtual reality toolbox for avatar intelligent reconstruction [pdf] paper   link   bibtex  
  2016 (4)
Synthesis of Distributed Cognitive Systems: Interacting Computational Maps for Multisensory Fusion. Axenie, C. Ph.D. Thesis, Technische Universität München, 2016.
Synthesis of Distributed Cognitive Systems: Interacting Computational Maps for Multisensory Fusion [pdf] paper   link   bibtex  
A self-synthesis approach to perceptual learning for multisensory fusion in robotics. Axenie, C.; Richter, C.; and Conradt, J. Sensors, 16(10): 1751. 2016.
A self-synthesis approach to perceptual learning for multisensory fusion in robotics [pdf] paper   link   bibtex  
From adaptive reasoning to cognitive factory: Bringing cognitive intelligence to manufacturing technology. Sugiarto, I.; Axenie, C.; and Conradt, J. International Journal of Industrial Research and Applied Engineering, 1(1): 1–10. 2016.
From adaptive reasoning to cognitive factory: Bringing cognitive intelligence to manufacturing technology [pdf] paper   link   bibtex  
Context-Aware Computing : From Neuroscience to Mobile Devices. Gross, M.; Axenie, C.; and Conradt, J. 2016.
Context-Aware Computing : From Neuroscience to Mobile Devices [pdf] paper   link   bibtex  
  2015 (3)
Cortically inspired sensor fusion network for mobile robot egomotion estimation. Axenie, C.; and Conradt, J. Robotics and Autonomous Systems, 71: 69–82. 2015.
Cortically inspired sensor fusion network for mobile robot egomotion estimation [pdf] paper   link   bibtex  
Cognitive maps for indirect coordination of intelligent agents. Susnea, I.; and Axenie, C. Studies in Informatics and Control, 24(1): 111–118. 2015.
Cognitive maps for indirect coordination of intelligent agents [pdf] paper   link   bibtex  
Learning sensory correlations for 3D egomotion estimation. Axenie, C.; and Conradt, J. In Conference on Biomimetic and Biohybrid Systems, pages 329–338, 2015. Springer, Cham
Learning sensory correlations for 3D egomotion estimation [pdf] paper   link   bibtex   1 download  
  2014 (1)
UAV Sound Source Localization. Hausamann, P.; Axenie, C.; and Conradt, J. 2014.
UAV Sound Source Localization [pdf] paper   link   bibtex  
  2013 (1)
Cortically inspired sensor fusion network for mobile robot heading estimation. Axenie, C.; and Conradt, J. In International Conference on Artificial Neural Networks, pages 240–247, 2013. Springer, Berlin, Heidelberg
Cortically inspired sensor fusion network for mobile robot heading estimation [pdf] paper   link   bibtex  
  2012 (1)
Quadrocopter stabilization using neuromorphic Embedded Dynamic Vision Sensors (eDVS). Bergner, F.; Axenie, C.; and Conradt, J. 2012.
Quadrocopter stabilization using neuromorphic Embedded Dynamic Vision Sensors (eDVS) [pdf] paper   link   bibtex  
  2011 (1)
Environment mapping for limited sensor mobile robots. Axenie, C. Master's thesis, University of Galati, 2011.
Environment mapping for limited sensor mobile robots [pdf] paper   Environment mapping for limited sensor mobile robots [pdf] slides   link   bibtex  
  2010 (4)
A new approach in mobile robot fault tolerant control: Minimizing costs and extending functionality. Axenie, C. WSEAS Transactions in Systems and Control, 5: 205–216. 2010.
A new approach in mobile robot fault tolerant control: Minimizing costs and extending functionality [pdf] paper   link   bibtex  
Adaptive sliding mode controller design for mobile robot fault tolerant control. introducing ARTEMIC. Axenie, C.; and Cernega, D. In 19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010), pages 253–259, 2010. IEEE
Adaptive sliding mode controller design for mobile robot fault tolerant control. introducing ARTEMIC. [pdf] paper   link   bibtex  
Mobile robot fault tolerant control introducing ARTEMIC. Axenie, C.; and Cernega, D. In 2010 2nd International Conference on Education Technology and Computer, volume 5, pages V5–6, 2010. IEEE
Mobile robot fault tolerant control introducing ARTEMIC [pdf] paper   link   bibtex  
Real time control design for mobile robot fault tolerant control. Introducing the ARTEMIC powered mobile robot. Axenie, C.; and Solea, R. In Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, pages 7–13, 2010. IEEE
Real time control design for mobile robot fault tolerant control. Introducing the ARTEMIC powered mobile robot [pdf] paper   link   bibtex  
  2009 (1)
Mobile Robot Fault Tolerant Control, BSc Thesis, University of Galati. Axenie, C. 2009.
Mobile Robot Fault Tolerant Control, BSc Thesis, University of Galati [pdf] paper   Mobile Robot Fault Tolerant Control, BSc Thesis, University of Galati [pdf] slides   link   bibtex   1 download  
  2007 (1)
A Client-Server Based Real-Time Control Tool for Complex Distributed Systems. Axenie, C.; Andrei, P.; Florentina, M.; Marius, P.; Aurelian, Z.; and Alexandru, S. In 9th Real-Time Linux Workshop 2007, Embedded Linux Conference Europe 2007, 2007. OSADL
A Client-Server Based Real-Time Control Tool for Complex Distributed Systems [pdf] paper   link   bibtex   1 download