Operations Research and Recommender Systems. - Thomas Asikis; George Lekakos (HCI (13), 2014)

Decentralized Collective Learning for Self-managed Sharing Economies. - Evangelos Pournaras; Peter Pilgerstorfer; Thomas Asikis (ACM Trans. Auton. Adapt. Syst., 2018)

How Value-Sensitive Design Can Empower Sustainable Consumption. - Thomas Asikis; Johannes Klinglmayr; Dirk Helbing; Evangelos Pournaras (CoRR, 2020)

NNC: Neural-Network Control of Dynamical Systems on Graphs. - Thomas Asikis; Lucas Böttcher; Nino Antulov-Fantulin (CoRR, 2020)

Optimization of privacy-utility trade-offs under informational self-determination. - Thomas Asikis; Evangelos Pournaras (Future Gener. Comput. Syst., 2020)

Neural Ordinary Differential Equation Control of Dynamics on Graphs. - Thomas Asikis (IEEE DataPort, 2020)

Implicit energy regularization of neural ordinary-differential-equation control. - Lucas Böttcher; Nino Antulov-Fantulin; Thomas Asikis (CoRR, 2021)

Multi-Objective Optimization for Value-Sensitive and Sustainable Basket Recommendations. - Thomas Asikis (CoRR, 2021)

Solving Inventory Management Problems with Inventory-dynamics-informed Neural Networks. - Lucas Böttcher; Thomas Asikis; Ioannis Fragkos (CoRR, 2022)

Supporting Sustainable Decision-Making with Value-Sensitive Artificial Intelligence. - Thomas Asikis (2022)

Near-optimal control of dynamical systems with neural ordinary differential equations. - Lucas Böttcher; Thomas Asikis (Mach. Learn. Sci. Technol., 2022)

Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks. - Lucas Böttcher; Thomas Asikis; Ioannis Fragkos (INFORMS J. Comput., 2023)