Calibration of a Foveated Wide-Angle Lens on an Active Vision Head. - Luc Berthouze; Sebastien Rougeaux; Florent Chavand; Yasuo Kuniyoshi (CVPR, 1996)

Learning of oculo-motor control: a prelude to robotic imitation. - Luc Berthouze; Paul Bakker; Yasuo Kuniyoshi (IROS, 1996)

Towards a Comprehensive Integration of Subjective Parameters in Database Browsing. - Nadia Bianchi; Luc Berthouze; Toshikazu Kato (DEXA Workshop, 1998)

Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction. - Luc Berthouze; Yasuo Kuniyoshi (Mach. Learn., 1998)

Neural learning of embodied interaction dynamics. - Yasuo Kuniyoshi; Luc Berthouze (Neural Networks, 1998)

A visual interactive environment for image retrieval by subjective parameters. - Nadia Bianchi-Berthouze; Luc Berthouze; Toshikazu Kato (MMSP, 1999)

An episodic memory model using spiking neurons. - Luc Berthouze (SMC, 2000)

Emergence of language in interactive systems. - Luc Berthouze; Mickael Pic (SMC, 2001)

Adaptive Background Estimation. - Mickael Pic; Luc Berthouze; Takio Kurita (MVA, 2002)

On the Interplay Between Morphological, Neural, and Environmental Dynamics: A Robotic Case Study. - Max Lungarella; Luc Berthouze (Adapt. Behav., 2002)

Robot Bouncing: On the Synergy Between Neural and Body-Environment Dynamics. - Max Lungarella; Luc Berthouze (Embodied Artificial Intelligence, 2003)

Epigenetic robotics - modelling cognitive development in robotic systems. - Luc Berthouze; Tom Ziemke (Connect. Sci., 2003)

Simple and low-cost compliant leg-foot system. - Friedrich Meyer 001; Alexander Spröwitz; Max Lungarella; Luc Berthouze (IROS, 2004)

Motor Skill Acquisition Under Environmental Perturbations: On the Necessity of Alternate Freezing and Freeing of Degrees of Freedom. - Luc Berthouze; Max Lungarella (Adapt. Behav., 2004)

Adaptive Background Estimation: Computing a Pixel-Wise Learning Rate from Local Confidence and Global Correlation Values. - Mickael Pic; Luc Berthouze; Takio Kurita (IEICE Trans. Inf. Syst., 2004)

Epigenetic robotics: modelling cognitive development in robotic systems. - Luc Berthouze; Giorgio Metta (Cogn. Syst. Res., 2005)

Stepwise Feature Selection by Cross Validation for EEG-based Brain Computer Interface. - Kenji Tanaka; Takio Kurita; Friedrich Meyer 001; Luc Berthouze; Tohru Kawabe (IJCNN, 2006)

Passive compliance for a RC servo-controlled bouncing robot. - Friedrich Meyer 001; Alexander Spröwitz; Luc Berthouze (Adv. Robotics, 2006)

A Neural Model for Context-dependent Sequence Learning. - Luc Berthouze; Adriaan G. Tijsseling (Neural Process. Lett., 2006)

Timing of critical periods in development. - Oliver Winks; Luc Berthouze (ALIFE, 2008)

Bifurcation Angles in Ant Foraging Networks: A Trade-Off between Exploration and Exploitation?. - Luc Berthouze; Alexander Lorenzi (SAB, 2008)

Transfer or No Transfer: The Key Role of Learning Specificity. - Paul Rauwolf; Luc Berthouze (EpiRob, 2010)

Higher-order structure and epidemic dynamics in clustered networks. - Martin Ritchie; Luc Berthouze; Thomas A. House; Istvan Z. Kiss (CoRR, 2013)

Using Novelty-Biased GA to Sample Diversity in Graphs Satisfying Constraints. - Peter Overbury; Luc Berthouze (GECCO (Companion), 2015)

A genetic algorithm-based approach to mapping the diversity of networks sharing a given degree distribution and global clustering. - Peter Overbury; Istvan Z. Kiss; Luc Berthouze (COMPLEX NETWORKS, 2016)

Generation and analysis of networks with a prescribed degree sequence and subgraph family: higher-order structure matters. - Martin Ritchie; Luc Berthouze; Istvan Z. Kiss (J. Complex Networks, 2017)

Mapping Structural Diversity in Networks Sharing a Given Degree Distribution and Global Clustering: Adaptive Resolution Grid Search Evolution with Diophantine Equation-Based Mutations. - Peter Overbury; István Z. Kiss; Luc Berthouze (COMPLEX NETWORKS (1), 2018)

Network events in a large commercial network: What can we learn? - Antoine Messager; George Parisis; Robert Harper 004; Philip Tee; Istvan Z. Kiss; Luc Berthouze (NOMS, 2018)

Inferring the time-varying functional connectivity of large-scale computer networks from emitted events. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (CoRR, 2018)

Relating Vertex and Global Graph Entropy in Randomly Generated Graphs. - Philip Tee; George Parisis; Luc Berthouze; Ian Wakeman (Entropy, 2018)

Functional Topology Inference from Network Events. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (IM, 2019)

Inferring Functional Connectivity From Time-Series of Events in Large Scale Network Deployments. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (IEEE Trans. Netw. Serv. Manag., 2019)

PDE limits of stochastic SIS epidemics on networks. - Francesco Di Lauro; J.-C. Croix; Luc Berthouze; Istvan Z. Kiss (J. Complex Networks, 2020)

Inference of brain networks with approximate Bayesian computation - assessing face validity with an example application in Parkinsonism. - Timothy O. West; Luc Berthouze; Simon F. Farmer; Hayriye Cagnan; Vladimir Litvak (NeuroImage, 2021)

Accelerating Causal Inference Based RCA Using Prior Knowledge From Functional Connectivity Inference. - Giles Winchester; George Parisis; Robert Harper 004; Luc Berthouze (CNSM, 2022)

Exploiting Functional Connectivity Inference for Efficient Root Cause Analysis. - Giles Winchester; George Parisis; Luc Berthouze (NOMS, 2022)

On the Temporal Behaviour of a Large-Scale Microservice Architecture. - Giles Winchester; George Parisis; Luc Berthouze (NOMS, 2023)

Complexity at Scale: A Quantitative Analysis of an Alibaba Microservice Deployment. - Giles Winchester; George Parisis; Luc Berthouze (CoRR, 2025)