Matching of Hypergraphs - Algorithms, Applications, and Experiments. - Horst Bunke; Peter J. Dickinson; Miro Kraetzl; Michel Neuhaus; Marc Stettler (Applied Pattern Recognition, 2008)

Economic, Climate Change, and Air Quality Analysis of Distributed Energy Resource Systems. - Akomeno Omu; Adam Rysanek; Marc Stettler; Ruchi Choudhary (ICCS, 2015)

Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets. - Renos Karamanis; Panagiotis Angeloudis; Aruna Sivakumar; Marc Stettler (ITSC, 2018)

Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era. - Qiming Ye; Simon M. Stebbins; Yuxiang Feng; Eduardo Candela; Marc Stettler; Panagiotis Angeloudis (ITSC, 2020)

Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing. - Renos Karamanis; He-in Cheong; Simon Hu 001; Marc Stettler; Panagiotis Angeloudis (CoRR, 2020)

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. - Chao Wu 001; Zhen Wang; Simon Hu 001; Julien Lepine; Xiaoxiang Na; Daniel Ainalis; Marc Stettler (Sensors, 2020)

A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study. - Qiming Ye; Yuxiang Feng; Jing Han; Marc Stettler; Panagiotis Angeloudis (CoRR, 2021)

Open-source modelling of aerosol dynamics and computational fluid dynamics: Nodal method for nucleation, coagulation, and surface growth. - Mino Woo; Robert T. Nishida; Mario A. Schriefl; Marc E. J. Stettler; Adam M. Boies (Comput. Phys. Commun., 2021)

Deep-MAPS: Machine-Learning-Based Mobile Air Pollution Sensing. - Jun Song; Ke Han; Marc E. J. Stettler (IEEE Internet Things J., 2021)

Assignment and Pricing of Shared Rides in Ride-Sourcing Using Combinatorial Double Auctions. - Renos Karamanis; Eleftherios Anastasiadis; Panagiotis Angeloudis; Marc Stettler (IEEE Trans. Intell. Transp. Syst., 2021)

Urban Traffic Route Guidance Method With High Adaptive Learning Ability Under Diverse Traffic Scenarios. - Chuanhui Tang; Wenbin Hu 001; Simon Hu 001; Marc E. J. Stettler (IEEE Trans. Intell. Transp. Syst., 2021)

Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jingshuo Qiu; Marc Stettler; Panagiotis Angeloudis (ITSC, 2022)

Open-source modelling of aerosol dynamics and computational fluid dynamics: Bipolar and unipolar diffusion charging and photoelectric charging. - Mino Woo; Mario A. Schriefl; Markus Knoll; Adam M. Boies; Marc E. J. Stettler; Simone Hochgreb; Robert T. Nishida (Comput. Phys. Commun., 2022)

Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features. - Cheng-Yu Tsai; Huei-Tyng Huang; Hsueh-Chien Cheng; Jieni Wang; Ping-Jung Duh; Wen-Hua Hsu; Marc Stettler; Yi-Chun Kuan; Yin-Tzu Lin; Chia-Rung Hsu; Kang-Yun Lee; Jiunn-Horng Kang; et al. (Sensors, 2022)

Vehicle Redistribution in Ride-Sourcing Markets Using Convex Minimum Cost Flows. - Renos Karamanis; Eleftherios Anastasiadis; Marc Stettler; Panagiotis Angeloudis (IEEE Trans. Intell. Transp. Syst., 2022)

Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jose Javier Escribano Macias; Marc Stettler; Panagiotis Angeloudis (IEEE Trans. Intell. Transp. Syst., 2023)