Dynamic Positioning Based on Voronoi Cells (DPVC). - HesamAddin Dashti; Nima Aghaeepour; Sahar Asadi; Meysam Bastani; Zahra Delafkar; Fatemeh Miri Disfani; Serveh Ghaderi; Shahin Kamali; Sepideh Pashami; Alireza Siahpirani (RoboCup, 2005)

Kavosh: a new algorithm for finding network motifs. - Zahra Razaghi Moghadam Kashani; Hayedeh Ahrabian; Elahe Elahi; Abbas Nowzari-Dalini; Elnaz Saberi Ansari; Sahar Asadi; Shahin Mohammadi; Falk Schreiber; Ali Masoudi-Nejad (BMC Bioinform., 2009)

ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach. - Sahar Asadi; Costin Badica; Tina Comes; Claudine Conrado; Vanessa Evers; Frans C. A. Groen; Sorin Ilie; Jan Steen Jensen; Achim J. Lilienthal; Bianca Milan; Thomas Neidhart; Kees Nieuwenhuis; et al. (EnviroInfo, 2011)

Autonomous Gas-Sensitive Microdrone: Wind Vector Estimation and Gas Distribution Mapping. - Patrick P. Neumann; Sahar Asadi; Achim J. Lilienthal; Matthias Bartholmai; Jochen H. Schiller (IEEE Robotics Autom. Mag., 2012)

Approaches to time-dependent gas distribution modelling. - Sahar Asadi; Achim J. Lilienthal (ECMR, 2015)

Time-dependent gas distribution modelling. - Sahar Asadi; Han Fan; Victor Manuel Hernandez Bennetts; Achim J. Lilienthal (Robotics Auton. Syst., 2017)

Towards Dense Air Quality Monitoring: Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning. - Sahar Asadi (2017)

Use All Your Skills, Not Only The Most Popular Ones. - Francesco Lorenzo; Sahar Asadi; Alice Karnsund; Lele Cao; Tianze Wang; Amir Hossein Payberah (CoG, 2020)

Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. - Vanessa Volz; Niels Justesen; Sam Snodgrass; Sahar Asadi; Sami Purmonen; Christoffer Holmgård; Julian Togelius; Sebastian Risi (CoG, 2020)

Simple, Scalable, and Stable Variational Deep Clustering. - Lele Cao; Sahar Asadi; Wenfei Zhu; Christian Schmidli; Michael Sjöberg (ECML/PKDD (1), 2020)

Debiasing Few-Shot Recommendation in Mobile Games. - Lele Cao; Sahar Asadi; Matteo Biasielli; Michael Sjöberg (ORSUM@RecSys, 2020)

CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. - Sara Karimi; Sahar Asadi; Francesco Lorenzo; Amir Hossein Payberah (ICMLA, 2022)

SCORE: Skill-Conditioned Online Reinforcement Learning. - Sara Karimi; Sahar Asadi; Amir Hossein Payberah (AIIDE, 2024)

Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. - Axel Karlsson; Tianze Wang; Slawomir Nowaczyk; Sepideh Pashami; Sahar Asadi (IDA (1), 2024)

player2vec: A Language Modeling Approach to Understand Player Behavior in Games. - Tianze Wang; Maryam Honari Jahromi; Styliani Katsarou; Olga Mikheeva; Theodoros Panagiotakopoulos; Sahar Asadi; Oleg Smirnov (CoRR, 2024)

Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study. - Tianze Wang; Maryam Honari Jahromi; Styliani Katsarou; Olga Mikheeva; Theodoros Panagiotakopoulos; Oleg Smirnov; Lele Cao; Sahar Asadi (CoRR, 2024)

BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. - Sara Karimi; Sahar Asadi; Amir Hossein Payberah (IEEE Trans. Games, 2024)

Guest Editorial: Special Issue on Human Centered AI in Game Evaluation. - Alena Denisova; Diego Perez Liebana; Vanessa Volz; Julian Frommel; Sahar Asadi (IEEE Trans. Games, 2024)

Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review. - Sofiane Ennadir; Gabriela Zarzar Gandler; Filip Cornell; Lele Cao; Oleg Smirnov; Tianze Wang; Levente Zólyomi; Björn Brinne; Sahar Asadi (Trans. Mach. Learn. Res., 2025)