Cristian Axenie

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 39

Top Topics

Trajectory Tracking

Egomotion Estimation

Top Venues

Publications

Cristian Axenie
Antifragile control systems in neuronal processing: A sensorimotor perspective. CoRR (2024)
Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail A. Makridis
The Fragile Nature of Road Transportation Systems. CoRR (2024)
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 (2024)
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 (2024)
Cristian Axenie, Matteo Saveriano
Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. CoRR (2023)
Nicolò Cogno, Cristian Axenie, Roman Bauer, Vasileios Vavourakis
Recipes for calibration and validation of agent-based models in cancer biomedicine. CoRR (2023)
Cristian Axenie, Matteo Saveriano
Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. IEEE Access 11 (2023)
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)
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)
Cristian Axenie
Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics. CoRR (2022)
Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Cristian Axenie, Alexander Wieder, David Eckhoff, Stefano Bortoli, Alios Knoll, Christoph Sommer
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO. SUMO (2022)
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) (2022)
Lukas Sommer, Cristian Axenie, Andreas Koch
SPNC: Fast Sum-Product Network Inference. PKDD/ECML Workshops (1) (2021)
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)
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 (2021)
Cristian Axenie, Roman Bauer, María Rodríguez Martínez
The Multiple Dimensions of Networks in Cancer: A Perspective. Symmetry 13 (9) (2021)
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)
Lukas Sommer, Michael Halkenhäuser, Cristian Axenie, Andreas Koch
SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs. ASAP (2021)
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)
Cristian Axenie, Daria Kurz
PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. CBMS (2020)
Cristian Axenie, Daria Kurz
Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data. ICANN (2) (2020)
Daria Kurz, Cristian Axenie
PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. BIBM (2020)
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)
Du Xiaorui, Yavuzhan Erdem, Immanuel Schweizer, Cristian Axenie
A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing. CoRR (2020)
Cristian Axenie, Daria Kurz
GLUECK: Growth Pattern Learning for Unsupervised Extraction of Cancer Kinetics. ECML/PKDD (5) (2020)
Cristian Axenie, Daria Kurz
CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. ISMCO (2020)
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)
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)
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)
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)
Cristian Axenie, Armin Becher, Daria Kurz, Thomas Grauschopf
Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation. BIBE (2019)
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)
Indar Sugiarto, Cristian Axenie, Jörg Conradt
FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. J. Circuits Syst. Comput. 28 (2) (2019)
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)
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)
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)
Florian Mirus, Cristian Axenie, Terrence C. Stewart, Jörg Conradt
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. Cogn. Syst. Res. 50 (2018)
Armin Becher, Cristian Axenie, Thomas Grauschopf
VIRTOOAIR: Virtual Reality TOOlbox for Avatar Intelligent Reconstruction. ISMAR Adjunct (2018)
Cristian Axenie, Christoph Richter, Jörg Conradt
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. Sensors 16 (10) (2016)
Cristian Axenie, Jörg Conradt
Learning Sensory Correlations for 3D Egomotion Estimation. Living Machines (2015)
Cristian Axenie, Jörg Conradt
Cortically inspired sensor fusion network for mobile robot egomotion estimation. Robotics Auton. Syst. 71 (2015)
Cristian Axenie, Jörg Conradt
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. ICANN (2013)