Cristian Axenie

46 papers A 2B 1C 6Journal 18Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`book`	Applied Antifragility in Technical Systems - From Principles to Applications Cristian Axenie, Meisam Akbarzadeh, Michail A. Makridis, Matteo Saveriano, Alexandru Stancu
2025	J	`jnl`	Antifragile control systems in neuronal processing: a sensorimotor perspective. Biol. Cybern. Cristian Axenie
2025	—	`book`	Applied Antifragility in Natural Systems - From Principles to Applications Cristian Axenie, Roman Bauer, Oliver López-Corona, Jeffrey West
2025	J	`jnl`	Edge neuro-statistical learning for event-based visual motion detection and tracking in roadside safety systems. Neuromorph. Comput. Eng. Cristian Axenie, Ertan Halilov, Julian Main, David Weiss
2024	J	`jnl`	Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning. CoRR Linghang Sun, Michail A. Makridis, Alexander Genser, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas
2024	J	`jnl`	Antifragile control systems in neuronal processing: A sensorimotor perspective. CoRR Cristian Axenie
2024	J	`jnl`	Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration. Expert Syst. Appl. Cristian Axenie, Wolfgang Scherr, Alexander Wieder, Anibal Siguenza-Torres, Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Margherita Grossi, Stefano Bortoli, Götz Brasche
2024	J	`jnl`	The Fragile Nature of Road Transportation Systems. CoRR Linghang Sun, Yifan Zhang, Cristian Axenie, Margherita Grossi, Anastasios Kouvelas, Michail A. Makridis
2023	J	`jnl`	Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. IEEE Access Cristian Axenie, Matteo Saveriano
2023	J	`jnl`	Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. CoRR Cristian Axenie, Matteo Saveriano
2023	J	`jnl`	Recipes for calibration and validation of agent-based models in cancer biomedicine. CoRR Nicolò Cogno, Cristian Axenie, Roman Bauer, Vasileios Vavourakis
2022	J	`jnl`	Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions. Symmetry Cristian Axenie, Daria Kurz, Matteo Saveriano
2022	J	`jnl`	Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics. CoRR Cristian Axenie
2022	A	`conf`	Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics. IROS Emmanouil Angelidis, Jan Bender, Jonathan Arreguit, Lars Gleim, Wei Wang, Cristian Axenie, Alois C. Knoll, Auke Jan Ijspeert
2022	A	`conf`	SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs. CGO Lukas Sommer, Cristian Axenie, Andreas Koch
2022	—	`conf`	Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO. SUMO Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Cristian Axenie, Alexander Wieder, David Eckhoff, Stefano Bortoli, Alois Knoll, Christoph Sommer
2021	J	`jnl`	Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. Frontiers Artif. Intell. Daria Kurz, Carlos Salort Sánchez, Cristian Axenie
2021	—	`conf`	Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs. SAMOS Hanna Kruppe, Lukas Sommer, Lukas Weber, Julian Oppermann, Cristian Axenie, Andreas Koch
2021	—	`conf`	OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. ECML/PKDD (4) Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
2021	—	`conf`	SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs. ASAP Lukas Sommer, Michael Halkenhäuser, Cristian Axenie, Andreas Koch
2021	—	`conf`	SPNC: Fast Sum-Product Network Inference. PKDD/ECML Workshops (1) Lukas Sommer, Cristian Axenie, Andreas Koch
2021	—	`conf`	TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. AALTD@ECML/PKDD Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche
2021	J	`jnl`	The Multiple Dimensions of Networks in Cancer: A Perspective. Symmetry Cristian Axenie, Roman Bauer, María Rodríguez Martínez
2020	J	`jnl`	A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing. CoRR Du Xiaorui, Yavuzhan Erdem, Immanuel Schweizer, Cristian Axenie
2020	—	`conf`	CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. ISMCO Cristian Axenie, Daria Kurz
2020	—	`conf`	GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting. AALTD@PKDD/ECML Carlos Salort Sánchez, Alexander Wieder, Paolo Sottovia, Stefano Bortoli, Jan Baumbach, Cristian Axenie
2020	—	`conf`	GLUECK: Growth Pattern Learning for Unsupervised Extraction of Cancer Kinetics. ECML/PKDD (5) Cristian Axenie, Daria Kurz
2020	—	`conf`	PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. BIBM Daria Kurz, Cristian Axenie
2020	B	`conf`	PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. CBMS Cristian Axenie, Daria Kurz
2020	—	`conf`	Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data. ICANN (2) Cristian Axenie, Daria Kurz
2019	C	`conf`	An Online Incremental Clustering Framework for Real-Time Stream Analytics. ICMLA Carlos Salort Sánchez, Radu Tudoran, Mohamad Al Hajj Hassan, Stefano Bortoli, Goetz Brasche, Jan Baumbach, Cristian Axenie
2019	C	`conf`	Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. ICMLA Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Carlos Salort Sánchez, Goetz Brasche
2019	J	`jnl`	FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. J. Circuits Syst. Comput. Indar Sugiarto, Cristian Axenie, Jörg Conradt
2019	C	`conf`	Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus. BIBE Carlos Salort Sánchez, Suzanne Smyth, Elizabeth Tully, Joanna Griffin, Luke Heaphy, Niamh Redmond, Fionnuala Breathnach, Jan Baumbach, Cristian Axenie
2019	C	`conf`	Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation. BIBE Cristian Axenie, Armin Becher, Daria Kurz, Thomas Grauschopf
2019	—	`conf`	NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. ICANN (1) Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Goetz Brasche
2019	—	`conf`	Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality. ICANN (3) Sebastian Pohl, Armin Becher, Thomas Grauschopf, Cristian Axenie
2019	—	`conf`	SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. PKDD/ECML Workshops (2) Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Alexander Wieder, Goetz Brasche
2018	—	`conf`	Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems. BIRTE Daniele Foroni, Cristian Axenie, Stefano Bortoli, Mohamad Al Hajj Hassan, Ralph Acker, Radu Tudoran, Goetz Brasche, Yannis Velegrakis
2018	J	`jnl`	Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. Cogn. Syst. Res. Florian Mirus, Cristian Axenie, Terrence C. Stewart, Jörg Conradt
2018	C	`conf`	STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. ICMLA Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Daniele Foroni, Goetz Brasche
2018	—	`conf`	VIRTOOAIR: Virtual Reality TOOlbox for Avatar Intelligent Reconstruction. ISMAR Adjunct Armin Becher, Cristian Axenie, Thomas Grauschopf
2016	J	`jnl`	A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. Sensors Cristian Axenie, Christoph Richter, Jörg Conradt
2015	J	`jnl`	Cortically inspired sensor fusion network for mobile robot egomotion estimation. Robotics Auton. Syst. Cristian Axenie, Jörg Conradt
2015	—	`conf`	Learning Sensory Correlations for 3D Egomotion Estimation. Living Machines Cristian Axenie, Jörg Conradt
2013	C	`conf`	Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. ICANN Cristian Axenie, Jörg Conradt