Cristian Axenie
Orcid: 0000-0001-6184-0546
According to our database1,
Cristian Axenie
authored at least 39 papers
between 2013 and 2024.
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Bibliography
2024
Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning.
CoRR, 2024
2023
CoRR, 2023
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty.
CoRR, 2023
Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility.
IEEE Access, 2023
2022
Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions.
Symmetry, 2022
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics.
CoRR, 2022
Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022
2021
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning.
Frontiers Artif. Intell., 2021
Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
2020
A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing.
CoRR, 2020
GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer.
Proceedings of the Mathematical and Computational Oncology, 2020
Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization.
J. Circuits Syst. Comput., 2019
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour.
Cogn. Syst. Res., 2018
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018
2016
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics.
Sensors, 2016
2015
Robotics Auton. Syst., 2015
Proceedings of the Biomimetic and Biohybrid Systems - 4th International Conference, 2015
2013
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013