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Cristian Axenie
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2020 – today
- 2024
- [j9]Cristian Axenie, Wolfgang Scherr, Alexander Wieder, Anibal Siguenza-Torres, Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Margherita Grossi, Stefano Bortoli, Götz Brasche:
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration. Expert Syst. Appl. 241: 122590 (2024) - [i7]Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail A. Makridis:
The Fragile Nature of Road Transportation Systems. CoRR abs/2402.00924 (2024) - [i6]Linghang Sun, Michail A. Makridis, Alexander Genser, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas:
Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning. CoRR abs/2402.12665 (2024) - [i5]Cristian Axenie:
Antifragile control systems in neuronal processing: A sensorimotor perspective. CoRR abs/2404.14799 (2024) - 2023
- [j8]Cristian Axenie, Matteo Saveriano:
Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. IEEE Access 11: 138188-138200 (2023) - [i4]Cristian Axenie, Matteo Saveriano:
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. CoRR abs/2302.05117 (2023) - [i3]Nicolò Cogno, Cristian Axenie, Roman Bauer, Vasileios Vavourakis:
Recipes for calibration and validation of agent-based models in cancer biomedicine. CoRR abs/2310.20031 (2023) - 2022
- [j7]Cristian Axenie, Daria Kurz, Matteo Saveriano:
Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions. Symmetry 14(10): 2034 (2022) - [c26]Lukas Sommer, Cristian Axenie, Andreas Koch:
SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs. CGO 2022: 1-11 - [c25]Emmanouil Angelidis, Jan Bender, Jonathan Arreguit, Lars Gleim, Wei Wang, Cristian Axenie, Alois C. Knoll, Auke Jan Ijspeert:
Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics. IROS 2022: 11238-11245 - [c24]Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Cristian Axenie, Alexander Wieder, David Eckhoff, Stefano Bortoli, Alois Knoll, Christoph Sommer:
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO. SUMO 2022: 181-197 - [i2]Cristian Axenie:
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics. CoRR abs/2210.10460 (2022) - 2021
- [j6]Daria Kurz, Carlos Salort Sánchez, Cristian Axenie:
Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. Frontiers Artif. Intell. 4: 713690 (2021) - [j5]Cristian Axenie, Roman Bauer, María Rodríguez Martínez:
The Multiple Dimensions of Networks in Cancer: A Perspective. Symmetry 13(9): 1559 (2021) - [c23]Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche:
TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. AALTD@ECML/PKDD 2021: 88-103 - [c22]Lukas Sommer, Michael Halkenhäuser, Cristian Axenie, Andreas Koch:
SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs. ASAP 2021: 53-56 - [c21]Lukas Sommer, Cristian Axenie, Andreas Koch:
SPNC: Fast Sum-Product Network Inference. PKDD/ECML Workshops (1) 2021: 397-408 - [c20]Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche:
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. ECML/PKDD (4) 2021: 437-452 - [c19]Hanna Kruppe, Lukas Sommer, Lukas Weber, Julian Oppermann, Cristian Axenie, Andreas Koch:
Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs. SAMOS 2021: 242-258 - 2020
- [c18]Daria Kurz, Cristian Axenie:
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. BIBM 2020: 609-614 - [c17]Cristian Axenie, Daria Kurz:
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. CBMS 2020: 457-462 - [c16]Cristian Axenie, Daria Kurz:
Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data. ICANN (2) 2020: 838-849 - [c15]Cristian Axenie, Daria Kurz:
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. ISMCO 2020: 13-24 - [c14]Carlos Salort Sánchez, Alexander Wieder, Paolo Sottovia, Stefano Bortoli, Jan Baumbach, Cristian Axenie:
GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting. AALTD@PKDD/ECML 2020: 63-76 - [c13]Cristian Axenie, Daria Kurz:
GLUECK: Growth Pattern Learning for Unsupervised Extraction of Cancer Kinetics. ECML/PKDD (5) 2020: 171-186 - [i1]Du Xiaorui, Yavuzhan Erdem, Immanuel Schweizer, Cristian Axenie:
A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing. CoRR abs/2006.16607 (2020)
2010 – 2019
- 2019
- [j4]Indar Sugiarto, Cristian Axenie, Jörg Conradt:
FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. J. Circuits Syst. Comput. 28(2): 1950031:1-1950031:30 (2019) - [c12]Cristian Axenie, Armin Becher, Daria Kurz, Thomas Grauschopf:
Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation. BIBE 2019: 617-624 - [c11]Carlos Salort Sánchez, Suzanne Smyth, Elizabeth Tully, Joanna Griffin, Luke Heaphy, Niamh Redmond, Fionnuala Breathnach, Jan Baumbach, Cristian Axenie:
Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus. BIBE 2019: 947-952 - [c10]Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche:
NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. ICANN (1) 2019: 253-266 - [c9]Sebastian Pohl, Armin Becher, Thomas Grauschopf, Cristian Axenie:
Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality. ICANN (3) 2019: 429-442 - [c8]Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Carlos Salort Sánchez, Goetz Brasche:
Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. ICMLA 2019: 1170-1177 - [c7]Carlos Salort Sánchez, Radu Tudoran, Mohamad Al Hajj Hassan, Stefano Bortoli, Goetz Brasche, Jan Baumbach, Cristian Axenie:
An Online Incremental Clustering Framework for Real-Time Stream Analytics. ICMLA 2019: 1480-1485 - [c6]Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Alexander Wieder, Goetz Brasche:
SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. PKDD/ECML Workshops (2) 2019: 333-344 - 2018
- [j3]Florian Mirus, Cristian Axenie, Terrence C. Stewart, Jörg Conradt:
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. Cogn. Syst. Res. 50: 52-66 (2018) - [c5]Daniele Foroni, Cristian Axenie, Stefano Bortoli, Mohamad Al Hajj Hassan, Ralph Acker, Radu Tudoran, Goetz Brasche, Yannis Velegrakis:
Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems. BIRTE 2018: 2:1-2:10 - [c4]Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Daniele Foroni, Goetz Brasche:
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. ICMLA 2018: 1115-1122 - [c3]Armin Becher, Cristian Axenie, Thomas Grauschopf:
VIRTOOAIR: Virtual Reality TOOlbox for Avatar Intelligent Reconstruction. ISMAR Adjunct 2018: 275-279 - 2016
- [j2]Cristian Axenie, Christoph Richter, Jörg Conradt:
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. Sensors 16(10): 1751 (2016) - 2015
- [j1]Cristian Axenie, Jörg Conradt:
Cortically inspired sensor fusion network for mobile robot egomotion estimation. Robotics Auton. Syst. 71: 69-82 (2015) - [c2]Cristian Axenie, Jörg Conradt:
Learning Sensory Correlations for 3D Egomotion Estimation. Living Machines 2015: 329-338 - 2013
- [c1]Cristian Axenie, Jörg Conradt:
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. ICANN 2013: 240-247
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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