Johann Dreo
- Institut Pasteur [Paris] (IP)
Publications
Publications
|
|
Finding personalized drugs from the integration of clinical and molecular data into a semantic knowledge graphMolecular Analysis for Precision Oncology Congress, ESMO European Society For Medical Oncology, Sep 2025, Paris, France |
|
|
Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment FunctionGenetic and Evolutionary Computation Conference, Association for Computing Machinery, Jul 2025, Malaga, Spain. ⟨10.1145/3712255.3734242⟩ |
|
|
First High-Level Information Fusion Competition: Feedback and Lessons Learned28th Inernational Conference on Information Fusion, International Society of Information Fusion, Jul 2025, Rio de Janeiro, Brazil |
|
|
IA métissée : quand données et symboles s’enlacentPint of Science, May 2025, Paris, France |
|
|
Using OntoWeaver to Integrate Heterogeneous Information in the OncodashKB Semantic Knowledge Graph for Finding Personalized Actionable Drugs in Ovarian CancerJOBIM, Journées Ouvertes en Biologie, Informatique et Mathématiques, Jul 2025, Bordeaux, France |
|
|
Exploring Explainable Treatments Hypotheses with the Oncodash Decision Support SystemMolecular Analysis for Precision Oncology Congress, ESMO European Society For Medical Oncology, Sep 2025, Paris, France |
|
|
Engaging the public in scientific research to enhance digital twins of the ocean and their practical applicationsOCEAN, IEEE Oceanic Engineering Society, Jun 2025, Brest, France |
|
|
Intégration reproductible d'informations de haut niveau dans des graphes de connaissances sémantiques avec OntoWeaver et BioCypher, application en oncologie et en écologieJournées ouvertes en biologie, informatique et mathématiques, Société Française de BioInformatique; Institut Français de Bioinformatique (IFB); Groupement de Recherche Bioinformatique Moléculaire (GDR BIM), Jun 2024, Toulouse, France |
|
|
High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian CancerCancer Genomics, Multiomics and Computational Biology, European Association for Cancer Research, Apr 2024, Bergame, Italy |
Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation ProblemGECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, Jul 2024, Melbourne VIC Australia, France. pp.151-154, ⟨10.1145/3638530.3654299⟩ |
|
|
|
Interplay of Human and AI Solvers on a Planning ProblemIEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE SMC Society, Oct 2023, Maui (Hawaii), United States |
|
|
Consistent Symbolic Data Integration with OntoWeaverJournée annuelle du groupe de travail sur la biologie systémique symbolique (GT BIOSS), CNRS, Nov 2023, Lille, France |
|
|
Tackling Threatening behavior through a Semantic Approach25th International Conference on Information Fusion (FUSION), International Society of Information Fusion, Jul 2022, Linköping, Sweden. ⟨10.23919/FUSION49751.2022.9841333⟩ |
|
|
Statistical Discovery of Transcriptomic Cancer Signatures using Multimodal Local SearchPGMO Days, Programme Gaspard Monge pour l’Optimisation, la recherche opérationnelle et leurs interactions avec les sciences des données., Nov 2022, Palaiseau, France |
|
|
Automated Algorithm Selection for Radar Network ConfigurationGECCO '22: Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3512290.3528825⟩ |
|
|
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of MetaheuristicsGECCO 2021 - Genetic and Evolutionary Computation Conference, ACM Sigevo, Jul 2021, Lille / Virtual, France. pp.1522-1530, ⟨10.1145/3449726.3463276⟩ |
|
|
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB FunctionsApplications of Evolutionary Computation (EvoApplications 2021), Apr 2021, Sevilla (Virtual), Spain. pp.17-33, ⟨10.1007/978-3-030-72699-7_2⟩ |
|
|
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking FrameworksGenetic and Evolutionary Computation Conference (GECCO 2021), Jul 2021, Lille, France. ⟨10.1145/3449726.3463155⟩ |
|
|
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling StrategyParallel Problem Solving from Nature – PPSN XVI (PPSN 2020), Sep 2020, Leiden, Netherlands. pp.139-153, ⟨10.1007/978-3-030-58115-2_10⟩ |
|
|
Making a case for (Hyper-)parameter tuning as benchmark problemsGenetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1755-1764, ⟨10.1145/3319619.3326857⟩ |
|
|
Netted Multi-Function Radars Positioning and Modes Selection by Non-Holonomic Fast Marching Computation of Highest Threatening Trajectories & by CMA-ES Optimization2019 International Radar Conference (RADAR), Sep 2019, TOULON, France. pp.1-6, ⟨10.1109/RADAR41533.2019.171285⟩ |
|
|
Expressiveness and robustness of landscape features (student workshop paper)Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.2048-2051, ⟨10.1145/3319619.3326913⟩ |
|
|
Coupling the design of benchmark with algorithm in landscape-aware solver designGenetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1419-1420, ⟨10.1145/3319619.3326821⟩ |
|
|
Automatic differentiation of non-holonomic fast marching for computing most threatening trajectories under sensors surveillanceInternational Conference on Geometric Science of Information, Nov 2017, Paris, France. pp.791-800 |
|
|
Per instance algorithm configuration of CMA-ES with limited budgetGECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference , Jul 2017, Berlin, Germany. pp. 681-688 |
|
|
Feature Based Algorithm Configuration: A Case Study with Differential EvolutionParallel Problem Solving from Nature – PPSN XIV, Sep 2016, Edinburgh, United Kingdom. pp.156-165, ⟨10.1007/978-3-319-45823-6_15⟩ |
|
|
Parameter Setting for Multicore CMA-ES with Large PopulationsArtificial Evolution (EA 2015), Oct 2015, Lyon, France. pp.109-122 |
|
|
Surrogate Assisted Feature Computation for Continuous ProblemsLION 10 Learning and Intelligent OptimizatioN Conference, May 2016, Ischia, Italy. To appear |
|
|
Solving Large MultiZenoTravel Benchmarks with Divide-and-EvolveLearning and Intelligent OptimizatioN - LION 9, Jan 2015, Lille, France. pp.262-267 |
|
|
Applying MapReduce principle to High level information fusion17th International Conference on Information Fusion, International Society on Information Fusion, Jul 2014, Salamanca, Spain. pp.1--8 |
|
|
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable BenchmarkEMO'13 - 7th International Conference on Evolutionary Multi-Criterion Optimization, Mar 2013, Sheffield, United Kingdom. pp.36-50 |
|
|
Multi-Objective AI Planning: Comparing Aggregation and Pareto ApproachesEvoCOP -- 13th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2013, Vienne, Austria. pp.202-213, ⟨10.1007/978-3-642-37198-1_18⟩ |
|
|
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal PlanningLION7 - Learning and Intelligent OptimizatioN Conference, Jan 2013, Catane, Italy. pp.341-356 |
|
|
Pareto-Based Multiobjective AI PlanningIJCAI 2013, IJCAI/AAAI, Aug 2013, Beijing, China. pp.2321-2327 |
|
|
Reproducible Mapping of Tabular Data into Semantic Knowledge Graphs with OntoWeaver and BioCypher2024 |
|
|
Democratizing knowledge representation with BioCypher2023 |
|
|
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front2023 |
|
|
Extensible Logging and Empirical Attainment Function for IOHexperimenter2021 |
|
|
Generalized fast marching method for computing highest threatening trajectories with curvature constraints and detection ambiguities in distance and radial speed2018 |
|
|
Mathematical Optimization with Stochastic MetaheuristicsInstitut Pasteur's Computational Biology Department Seminars, Mar 2024, Paris, France |
|
|
Randomized Optimization Framework tailored for Benchmarking & Auto-DesignBenchmarked workshop, May 2022, Leiden, France. 2022 |
|
|
UNIX Shell CheatsheetComputational Systems Biomedicine Seminars, Nov 2022, Paris, France |
|
|
Using Irace, Paradiseo and IOHprofiler for Large-Scale Algorithm Configuration8th COSEAL workshop, Sep 2021, Online, France. 2021 |
|
|
Quantile-like measures on multi-dimensional distributions of closed setsDoctoral. Innovation, Design, and Engineering, Västerås [Sweden], France. 2023 |
|
|
De la planification centralisée à l’intelligence en essaim avec des dronesDEUG. Startech, Paris, France. 2022, pp.27 |
|
|
Feedback on the use of PDDL solvers in an industrial R&D contextDoctoral. Innovation, Design, and Engineering, Västerås [Sweden], France. 2022 |
|
|
AutoML for BioinformaticsDoctoral. Computational Biology Seminars, France. 2022, pp.31 |
|
|
Practical Tools for Improving Reproducibility (of Bioinformatics)Doctoral. Precision Medicine at the Interface of Translational Research and Systems Medicine, Paris, France. 2021, pp.37 |
|
|
Results from the Joint Nevergrad and IOHprofiler Open Optimization Competition2021 |
Method for controlling a set of robots, and set of robotsUnited States, Patent n° : US20150331421. 2015 |
Les fourmis artificielles pour l'optimisation en variables continuesNicolas Monmarché, Frédéric Guinand and Patrick Siarry. Fourmis artificielles, des bases de l'optimisation aux applications industrielles, volume 1, Hermès-Lavoisier, chap. 4, 2009 |
|
|
|
Stochastic Metaheuristics as Sampling Techniques using Swarm IntelligenceSwarm Intelligence, Focus on Ant and Particle Swarm Optimization, I-Tech Education and Publishing, 2007, 978-3-902613-09-7. ⟨10.5772/5105⟩ |
Metaheuristics for hard optimization : methods and case studiesSpringer-Verlag, pp.372, 2006, 978-3-540-23022-9 |
|
Métaheuristiques pour l'optimisation difficileEYROLLES, pp.356, 2003, Algorithmes, 978-2-212-11368-6 |
|
|
Adaptation de la métaheuristique des colonies de fourmis pour l'optimisation difficile en variables continues. Application en génie biologique et médical.Autre [cs.OH]. Université Paris XII Val de Marne, 2003. Français. ⟨NNT : ⟩ |