| Kavosh: a new algorithm for finding network motifs ZRM Kashani, H Ahrabian, E Elahi, A Nowzari-Dalini, ES Ansari, S Asadi, ... BMC bioinformatics 10, 1-12, 2009 | 292 | 2009 |
| Autonomous gas-sensitive microdrone: Wind vector estimation and gas distribution mapping PP Neumann, S Asadi, AJ Lilienthal, M Bartholmai, JH Schiller Robotics & Automation Magazine, IEEE 19 (1), 50-61, 2012 | 192 | 2012 |
| Dynamic positioning based on voronoi cells (dpvc) HAT Dashti, N Aghaeepour, S Asadi, M Bastani, Z Delafkar, FM Disfani, ... RoboCup 2005: Robot Soccer World Cup IX, 219-229, 2005 | 32 | 2005 |
| Monitoring of CCS areas using micro unmanned aerial vehicles (MUAVs) PP Neumann, S Asadi, VH Bennetts, AJ Lilienthal, M Bartholmai Energy Procedia 37, 4182-4190, 2013 | 31 | 2013 |
| An Artificial Potential Field based Sampling Strategy for a Gas-Sensitive Micro-Drone P Neumann, S Asadi, JH Schiller, A Lilienthal, M Bartholmai Proc. IROS 2011 Workshop Robotics for Environmental Monitoring (WREM, 34-38, 2011 | 25 | 2011 |
| Integration of openfoam flow simulation and filament-based gas propagation models for gas dispersion simulation S Pashami, S Asadi, AJ Lilienthal Proceedings of the Open Source CFD International Conference 2, 2010 | 24 | 2010 |
| Time-dependent gas distribution modelling S Asadi, H Fan, VH Bennetts, AJ Lilienthal Robotics and Autonomous Systems 96, 157-170, 2017 | 22 | 2017 |
| Statistical Gas Distribution Modelling Using Kernel Methods S Asadi, M Reggente, C Stachniss, C Plagemann, AJ Lilienthal Intelligent Systems for Machine Olfaction: Tools and Methodologies, 153-179, 2011 | 21 | 2011 |
| TD Kernel DM+ V: Time-Dependent Statistical Gas Distribution Modelling on Simulated Measurement S Asadi, S Pashami, A Loutfi, AJ Lilienthal AIP Conference Proceedings Volume 1362: Olfaction and Electronic Nose …, 2011 | 17 | 2011 |
| Capturing local and global patterns in procedural content generation via machine learning V Volz, N Justesen, S Snodgrass, S Asadi, S Purmonen, C Holmgård, ... 2020 IEEE Conference on Games (CoG), 399-406, 2020 | 15 | 2020 |
| Simple, scalable, and stable variational deep clustering L Cao, S Asadi, W Zhu, C Schmidli, M Sjöberg Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 14 | 2020 |
| Estimating Predictive Variance for Statistical Gas Distribution Modelling AJ Lilienthal, S Asadi, M Reggente AIP: Olfaction and Electronic Nose-Proc. ISOEN 1137, 65-68, 2009 | 13 | 2009 |
| ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach S Asadi, C Badica, T Comes, C Conrado, V Evers, F Groen, S Illie, ... Conference on Innovations in Sharing Environmental Observation and …, 2011 | 11 | 2011 |
| Use all your skills, not only the most popular ones F Lorenzo, S Asadi, A Karnsund, L Cao, T Wang, AH Payberah 2020 IEEE Conference on Games (CoG), 682-685, 2020 | 6 | 2020 |
| Approaches to time-dependent gas distribution modelling S Asadi, A Lilienthal 2015 European Conference on Mobile Robots (ECMR), 1-6, 2015 | 5 | 2015 |
| CANDYRL: A Hybrid Reinforcement Learning Model for Gameplay S Karimi, S Asadi, L Francesco, AH Payberah The IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 | 3 | 2022 |
| player2vec: A Language Modeling Approach to Understand Player Behavior in Games T Wang, M Honari-Jahromi, S Katsarou, O Mikheeva, ... arXiv preprint arXiv:2404.04234, 2024 | 2 | 2024 |
| Towards Dense Air Quality Monitoring: Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning S Asadi Örebro University, 2017 | 2 | 2017 |
| Ututd2005-3d team description paper HAT Dashti, N Aghaeepour, S Asadi, M Bastani, Z Delafkar, FM Disfani, ... Team Description Paper for the RoboCup-2005 in Osaka, Japan 30, 2005 | 2 | 2005 |
| Debiasing Few-Shot Recommendation in Mobile Games L Cao, S Asadi, M Biasielli, M Sjöberg ORSUM@ACM RecSys 2020, 2020 | 1 | 2020 |
Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro University在 oru.se 的电子邮件经过验证
