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2020 – today
- 2024
[j4]Sara Karimi
, Sahar Asadi, Amir Hossein Payberah:
BaziGooshi: A Hybrid Model of Reinforcement Learning for Generalization in Gameplay. IEEE Trans. Games 16(3): 722-734 (2024)- [c9]Axel Karlsson, Tianze Wang, Slawomir Nowaczyk, Sepideh Pashami, Sahar Asadi:
Mind the Data, Measuring the Performance Gap Between Tree Ensembles and Deep Learning on Tabular Data. IDA (1) 2024: 65-76 - [i3]Tianze Wang, Maryam Honari Jahromi, Styliani Katsarou, Olga Mikheeva, Theodoros Panagiotakopoulos, Sahar Asadi, Oleg Smirnov:
player2vec: A Language Modeling Approach to Understand Player Behavior in Games. CoRR abs/2404.04234 (2024) - 2022
- [c8]Sara Karimi, Sahar Asadi, Francesco Lorenzo, Amir Hossein Payberah:
CandyRL: A Hybrid Reinforcement Learning Model for Gameplay. ICMLA 2022: 567-572 - 2020
- [c7]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoG 2020: 399-406 - [c6]Francesco Lorenzo, Sahar Asadi, Alice Karnsund, Lele Cao, Tianze Wang, Amir Hossein Payberah:
Use All Your Skills, Not Only The Most Popular Ones. CoG 2020: 682-685 - [c5]Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg:
Simple, Scalable, and Stable Variational Deep Clustering. ECML/PKDD (1) 2020: 108-124 - [c4]Lele Cao, Sahar Asadi, Matteo Biasielli, Michael Sjöberg:
Debiasing Few-Shot Recommendation in Mobile Games. ORSUM@RecSys 2020 - [i2]Lele Cao, Sahar Asadi, Wenfei Zhu, Christian Schmidli, Michael Sjöberg:
Simple, Scalable, and Stable Variational Deep Clustering. CoRR abs/2005.08047 (2020) - [i1]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoRR abs/2005.12579 (2020)
2010 – 2019
- 2017
- [b1]Sahar Asadi:
Towards Dense Air Quality Monitoring: Time-Dependent Statistical Gas Distribution Modelling and Sensor Planning. Örebro University, Sweden, 2017 - [j3]Sahar Asadi, Han Fan, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal:
Time-dependent gas distribution modelling. Robotics Auton. Syst. 96: 157-170 (2017) - 2015
- [c3]Sahar Asadi, Achim J. Lilienthal:
Approaches to time-dependent gas distribution modelling. ECMR 2015: 1-6 - 2012
- [j2]Patrick P. Neumann, Sahar Asadi, Achim J. Lilienthal, Matthias Bartholmai, Jochen H. Schiller:
Autonomous Gas-Sensitive Microdrone: Wind Vector Estimation and Gas Distribution Mapping. IEEE Robotics Autom. Mag. 19(1): 50-61 (2012) - 2011
- [c2]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, Sepideh Pashami, Gregor Pavlin, Jan Pehrsson, Rani Pinchuk, Mihnea Scafes, Leo Schou-Jensen, Frank Schultmann, Niek J. E. Wijngaards:
ICT solutions supporting collaborative information acquisition, situation assessment and decision making in contemporary environmental management problems: the DIADEM approach. EnviroInfo 2011: 920-931
2000 – 2009
- 2009
- [j1]Zahra Razaghi Moghadam Kashani, Hayedeh Ahrabian, Elahe Elahi, Abbas Nowzari-Dalini, Elnaz Saberi Ansari, Sahar Asadi, Shahin Mohammadi, Falk Schreiber, Ali Masoudi-Nejad:
Kavosh: a new algorithm for finding network motifs. BMC Bioinform. 10: 318 (2009) - 2005
- [c1]HesamAddin Dashti, Nima Aghaeepour, Sahar Asadi, Meysam Bastani, Zahra Delafkar, Fatemeh Miri Disfani, Serveh Ghaderi, Shahin Kamali, Sepideh Pashami, Alireza Siahpirani:
Dynamic Positioning Based on Voronoi Cells (DPVC). RoboCup 2005: 219-229
Coauthor Index
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last updated on 2024-10-04 20:56 CEST by the dblp team
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