Algorithmique de la planification de mouvement probabiliste pour un robot mobile. (Probabilistic motion planning algorithms for a mobile robot). - Nicolas Jouandeau (2004)

RSRT: Rapidly exploring sorted random tree - online adapting rrt to reduce computational solving time while motion planning in wide configuration spaces. - Nicolas Jouandeau (ICINCO-ICSO, 2007)

A Parallel Monte-Carlo Tree Search Algorithm. - Tristan Cazenave; Nicolas Jouandeau (Computers and Games, 2008)

Parallel Nested Monte-Carlo search. - Tristan Cazenave; Nicolas Jouandeau (IPDPS, 2009)

Sampling-Based Multi-Robot Exploration. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (ISR/ROBOTIK, 2010)

Solving breakthrough with Race Patterns and Job-Level Proof Number Search. - Abdallah Saffidine; Nicolas Jouandeau; Tristan Cazenave (ACG, 2011)

Multi-robot Decentralized Exploration using a Trade-based Approach. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (ICINCO (2), 2011)

ACS-PRM: Adaptive Cross Sampling Based Probabilistic Roadmap for Multi-robot Motion Planning. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (IAS (1), 2012)

On the Problem of Task Planning in Multi-robot Systems. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (ICINCO (2), 2012)

Multi-robot heuristic goods transportation. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (IEEE Conf. of Intelligent Systems, 2012)

Walking patterns for real time path planning simulation of humanoids. - Vincent Hugel; Nicolas Jouandeau (RO-MAN, 2012)

Material Symmetry to Partition Endgame Tables. - Abdallah Saffidine; Nicolas Jouandeau; Cédric L. R. Buron; Tristan Cazenave (Computers and Games, 2013)

Sampling-based Multi-robot Motion Planning. - Zhi Yan 001; Nicolas Jouandeau; Arab Ali Chérif (ICINCO (1), 2013)

Automatic Generation of Humanoid's Geometric Model Parameters. - Vincent Hugel; Nicolas Jouandeau (RoboCup, 2013)

Contributions de la robotique mobile, humanoïde, multi-robots aux jeux à information incomplète. - Nicolas Jouandeau (2014)

Small and Large MCTS Playouts Applied to Chinese Dark Chess Stochastic Game. - Nicolas Jouandeau; Tristan Cazenave (CGW@ECAI, 2014)

Stigmergic MASA: A Stigmergy Based Algorithm for Multi-Target Search. - Ouarda Zedadra; Nicolas Jouandeau; Hamid Seridi; Giancarlo Fortino (FedCSIS, 2014)

Optimization of parametrised kicking motion for humanoid soccer player. - Nicolas Jouandeau; Vincent Hugel (ICARSC, 2014)

Analytical Solution for Joint Coupling in NAO Humanoid Hips. - Vincent Hugel; Nicolas Jouandeau (RoboCup, 2014)

Enhancing Humanoids' Walking Skills through Morphogenesis Evolution Method. - Nicolas Jouandeau; Vincent Hugel (SIMPAR, 2014)

Monte-Carlo Tree Reductions for Stochastic Games. - Nicolas Jouandeau; Tristan Cazenave (TAAI, 2014)

A Decentralized Ant Colony Foraging Model Using Only Stigmergic Communication. - Giancarlo Fortino; Ouarda Zedadra; Nicolas Jouandeau; Hamid Seridi (WOA, 2014)

Design and analysis of cooperative and non cooperative stigmergy-based models for foraging. - Ouarda Zedadra; Hamid Seridi; Nicolas Jouandeau; Giancarlo Fortino (CSCWD, 2015)

Elbow flexion and extension identification using surface electromyography signals. - A. Rubiano; José Luis Ramirez; Mohammed Nabil El Korso; Laurent Gallimard; Nicolas Jouandeau; Olivier Polit (EUSIPCO, 2015)

Energy expenditure in multi-agent foraging: An empirical analysis. - Ouarda Zedadra; Hamid Seridi; Nicolas Jouandeau; Giancarlo Fortino (FedCSIS, 2015)

Fuzzy Contrast Improvement for Low Altitude Aerial Images. - Lawrence Nderu; Nicolas Jouandeau; Herman Akdag (FLAIRS, 2015)

Optimal Player Information MCTS applied to Chinese Dark Chess. - Nicolas Jouandeau (TAAI, 2015)

An Energy-Aware Algorithm for Large Scale Foraging Systems. - Ouarda Zedadra; Hamid Seridi; Nicolas Jouandeau; Giancarlo Fortino (Scalable Comput. Pract. Exp., 2015)

Exploring unknown environments with multi-modal locomotion swarm. - Ouarda Zedadra; Nicolas Jouandeau; Hamid Seridi; Giancarlo Fortino (IDC, 2016)

A Cooperative Switching Algorithm for Multi-Agent Foraging. - Ouarda Zedadra; Hamid Seridi; Nicolas Jouandeau; Giancarlo Fortino (Eng. Appl. Artif. Intell., 2016)

Towards a Reference Architecture for Swarm Intelligence-Based Internet of Things. - Ouarda Zedadra; Claudio Savaglio; Nicolas Jouandeau; Antonio Guerrieri; Hamid Seridi; Giancarlo Fortino (IDCS, 2017)

Machine Learning Algorithms for Predicting Land Suitability in Crop Production: A Review. - Kennedy Mutange Senagi; Nicolas Jouandeau; Peter Kamoni (MDA, 2017)

Multi-Agent Foraging: state-of-the-art and research challenges. - Ouarda Zedadra; Nicolas Jouandeau; Hamid Seridi; Giancarlo Fortino (Complex Adapt. Syst. Model., 2017)

A Non-Deterministic Strategy for Searching Optimal Number of Trees Hyperparameter in Random Forest. - Kennedy Senagi; Nicolas Jouandeau (FedCSIS, 2018)

Statistical GGP Game Decomposition. - Aline Hufschmitt; Jean-Noël Vittaut; Nicolas Jouandeau (CGW@IJCAI, 2018)

Confidence in Random Forest for Performance Optimization. - Kennedy Senagi; Nicolas Jouandeau (SGAI Conf., 2018)

Swarm intelligence-based algorithms within IoT-based systems: A review. - Ouarda Zedadra; Antonio Guerrieri; Nicolas Jouandeau; Giandomenico Spezzano; Hamid Seridi; Giancarlo Fortino (J. Parallel Distributed Comput., 2018)

Swarm Intelligence and IoT-Based Smart Cities: A Review. - Ouarda Zedadra; Antonio Guerrieri; Nicolas Jouandeau; Giandomenico Spezzano; Hamid Seridi; Giancarlo Fortino (The Internet of Things for Smart Urban Ecosystems, 2019)

Exploiting Game Decompositions in Monte Carlo Tree Search. - Aline Hufschmitt; Jean-Noël Vittaut; Nicolas Jouandeau (ACG, 2019)

Modern CNNs for IoT Based Farms. - Patrick Kinyua Gikunda; Nicolas Jouandeau (ICT4DA, 2019)

Cost-Based Budget Active Learning for Deep Learning. - Patrick Kinyua Gikunda; Nicolas Jouandeau (STAIRS@ECAI, 2020)

Budget Active Learning for Deep Networks. - Patrick Kinyua Gikunda; Nicolas Jouandeau (IntelliSys (1), 2020)

Sample-Label View Transfer Active Learning for Time Series Classification. - Patrick Kinyua; Nicolas Jouandeau (ICANN (5), 2021)

Homogeneous Transfer Active Learning for Time Series Classification. - Patrick Kinyua Gikunda; Nicolas Jouandeau (ICMLA, 2021)

Designing RNA Sequences by Self-play. - Stephen Obonyo; Nicolas Jouandeau; Dickson Owuor (IJCCI, 2022)

La confiance comme posture de crédulité. - Jean-Pascal Palus; Adrien Revault d'Allonnes; Nicolas Jouandeau (LFA, 2022)

Parallel construction of Random Forest on GPU. - Kennedy Senagi; Nicolas Jouandeau (J. Supercomput., 2022)

Lightweight Deep Learning for Weather Prediction and Forecasting in Africa. - Kinyua Gikunda; Nicolas Jouandeau (DAAfrica@CARI, 2024)

RNA Generative Modeling With Tree Search. - Stephen Obonyo; Nicolas Jouandeau; Dickson Owuor (CIBCB, 2024)

LSTM versus Transformers: A Practical Comparison of Deep Learning Models for Trading Financial Instruments. - Daniel Ruiru; Nicolas Jouandeau; Dickson Odhiambo Owuor (IJCCI, 2024)

Self-Playing RNA Inverse Folding. - Stephen Obonyo; Nicolas Jouandeau; Dickson Owuor (SN Comput. Sci., 2024)