Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. - Cristian Axenie; Jörg Conradt (ICANN, 2013)

Learning Sensory Correlations for 3D Egomotion Estimation. - Cristian Axenie; Jörg Conradt (Living Machines, 2015)

Cortically inspired sensor fusion network for mobile robot egomotion estimation. - Cristian Axenie; Jörg Conradt (Robotics Auton. Syst., 2015)

A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. - Cristian Axenie; Christoph Richter; Jörg Conradt (Sensors, 2016)

Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems. - Daniele Foroni; Cristian Axenie; Stefano Bortoli; Mohamad Al Hajj Hassan; Ralph Acker; Radu Tudoran; Goetz Brasche; Yannis Velegrakis (BIRTE, 2018)

STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Daniele Foroni; Goetz Brasche (ICMLA, 2018)

VIRTOOAIR: Virtual Reality TOOlbox for Avatar Intelligent Reconstruction. - Armin Becher; Cristian Axenie; Thomas Grauschopf (ISMAR Adjunct, 2018)

Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. - Florian Mirus; Cristian Axenie; Terrence C. Stewart; Jörg Conradt (Cogn. Syst. Res., 2018)

Meta-Learning for Avatar Kinematics Reconstruction in Virtual Reality Rehabilitation. - Cristian Axenie; Armin Becher; Daria Kurz; Thomas Grauschopf (BIBE, 2019)

Fuzzy Inference System for Risk Evaluation in Gestational Diabetes Mellitus. - Carlos Salort Sánchez; Suzanne Smyth; Elizabeth Tully; Joanna Griffin; Luke Heaphy; Niamh Redmond; Fionnuala Breathnach; Jan Baumbach; Cristian Axenie (BIBE, 2019)

NARPCA: Neural Accumulate-Retract PCA for Low-Latency High-Throughput Processing on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Goetz Brasche (ICANN (1), 2019)

Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality. - Sebastian Pohl; Armin Becher; Thomas Grauschopf; Cristian Axenie (ICANN (3), 2019)

Dimensionality Reduction for Low-Latency High-Throughput Fraud Detection on Datastreams. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Carlos Salort Sánchez; Goetz Brasche (ICMLA, 2019)

An Online Incremental Clustering Framework for Real-Time Stream Analytics. - Carlos Salort Sánchez; Radu Tudoran; Mohamad Al Hajj Hassan; Stefano Bortoli; Goetz Brasche; Jan Baumbach; Cristian Axenie (ICMLA, 2019)

SPICE: Streaming PCA Fault Identification and Classification Engine in Predictive Maintenance. - Cristian Axenie; Radu Tudoran; Stefano Bortoli; Mohamad Al Hajj Hassan; Alexander Wieder; Goetz Brasche (PKDD/ECML Workshops (2), 2019)

FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. - Indar Sugiarto; Cristian Axenie; Jörg Conradt (J. Circuits Syst. Comput., 2019)

PERFECTO: Prediction of Extended Response and Growth Functions for Estimating Chemotherapy Outcomes in Breast Cancer. - Daria Kurz; Cristian Axenie (BIBM, 2020)

PRINCESS: Prediction of Individual Breast Cancer Evolution to Surgical Size. - Cristian Axenie; Daria Kurz (CBMS, 2020)

Tumor Characterization Using Unsupervised Learning of Mathematical Relations Within Breast Cancer Data. - Cristian Axenie; Daria Kurz (ICANN (2), 2020)

CHIMERA: Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer. - Cristian Axenie; Daria Kurz (ISMCO, 2020)

GLUECK: Growth Pattern Learning for Unsupervised Extraction of Cancer Kinetics. - Cristian Axenie; Daria Kurz (ECML/PKDD (5), 2020)

GANNSTER: Graph-Augmented Neural Network Spatio-Temporal Reasoner for Traffic Forecasting. - Carlos Salort Sánchez; Alexander Wieder; Paolo Sottovia; Stefano Bortoli; Jan Baumbach; Cristian Axenie (AALTD@PKDD/ECML, 2020)

A Framework for Learning Invariant Physical Relations in Multimodal Sensory Processing. - Du Xiaorui; Yavuzhan Erdem; Immanuel Schweizer; Cristian Axenie (CoRR, 2020)

TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control. - Cristian Axenie; Rongye Shi; Daniele Foroni; Alexander Wieder; Mohamad Al Hajj Hassan; Paolo Sottovia; Margherita Grossi; Stefano Bortoli; Götz Brasche (AALTD@ECML/PKDD, 2021)

SPNC: Accelerating Sum-Product Network Inference on CPUs and GPUs. - Lukas Sommer; Michael Halkenhäuser; Cristian Axenie; Andreas Koch 001 (ASAP, 2021)

OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation. - Cristian Axenie; Rongye Shi; Daniele Foroni; Alexander Wieder; Mohamad Al Hajj Hassan; Paolo Sottovia; Margherita Grossi; Stefano Bortoli; Götz Brasche (ECML/PKDD (4), 2021)

SPNC: Fast Sum-Product Network Inference. - Lukas Sommer; Cristian Axenie; Andreas Koch 001 (PKDD/ECML Workshops (1), 2021)

Efficient Operator Sharing Modulo Scheduling for Sum-Product Network Inference on FPGAs. - Hanna Kruppe; Lukas Sommer; Lukas Weber; Julian Oppermann; Cristian Axenie; Andreas Koch 001 (SAMOS, 2021)

Data-Driven Discovery of Mathematical and Physical Relations in Oncology Data Using Human-Understandable Machine Learning. - Daria Kurz; Carlos Salort Sánchez; Cristian Axenie (Frontiers Artif. Intell., 2021)

The Multiple Dimensions of Networks in Cancer: A Perspective. - Cristian Axenie; Roman Bauer 001; María Rodríguez Martínez (Symmetry, 2021)

SPNC: An Open-Source MLIR-Based Compiler for Fast Sum-Product Network Inference on CPUs and GPUs. - Lukas Sommer; Cristian Axenie; Andreas Koch 001 (CGO, 2022)

Gazebo Fluids: SPH-based simulation of fluid interaction with articulated rigid body dynamics. - Emmanouil Angelidis; Jan Bender; Jonathan Arreguit; Lars Gleim; Wei Wang 058; Cristian Axenie; Alois C. Knoll; Auke Jan Ijspeert (IROS, 2022)

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO. - Zhuoxiao Meng; Xiaorui Du; Paolo Sottovia; Daniele Foroni; Cristian Axenie; Alexander Wieder; David Eckhoff; Stefano Bortoli; Alois Knoll; Christoph Sommer 001 (SUMO, 2022)

Antifragile Control Systems: The case of an oscillator-based network model of urban road traffic dynamics. - Cristian Axenie (CoRR, 2022)

Antifragile Control Systems: The Case of an Anti-Symmetric Network Model of the Tumor-Immune-Drug Interactions. - Cristian Axenie; Daria Kurz; Matteo Saveriano (Symmetry, 2022)

Antifragile Control Systems: The Case of Mobile Robot Trajectory Tracking Under Uncertainty and Volatility. - Cristian Axenie; Matteo Saveriano (IEEE Access, 2023)

Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty. - Cristian Axenie; Matteo Saveriano (CoRR, 2023)

Recipes for calibration and validation of agent-based models in cancer biomedicine. - Nicolò Cogno; Cristian Axenie; Roman Bauer 001; Vasileios Vavourakis (CoRR, 2023)

The Fragile Nature of Road Transportation Systems. - Linghang Sun; Yifan Zhang; Cristian Axenie; Margherita Grossi; Anastasios Kouvelas; Michail A. Makridis (CoRR, 2024)

Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning. - Linghang Sun; Michail A. Makridis; Alexander Genser; Cristian Axenie; Margherita Grossi; Anastasios Kouvelas (CoRR, 2024)

Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration. - Cristian Axenie; Wolfgang Scherr; Alexander Wieder; Anibal Siguenza-Torres; Zhuoxiao Meng; Xiaorui Du; Paolo Sottovia; Daniele Foroni; Margherita Grossi; Stefano Bortoli; Götz Brasche (Expert Syst. Appl., 2024)

Applied Antifragility in Natural Systems - From Principles to Applications - Cristian Axenie; Roman Bauer 001; Oliver López-Corona; Jeffrey West (Springer, 2025)

Antifragile control systems in neuronal processing: a sensorimotor perspective. - Cristian Axenie (Biol. Cybern., 2025)

Applied Antifragility in Technical Systems - From Principles to Applications - Cristian Axenie; Meisam Akbarzadeh; Michail A. Makridis; Matteo Saveriano; Alexandru Stancu (Springer, 2026)