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20142026
most citedReinforcement Learning-Based Framework for the Intelligent Adaptation of User Interfaces

19 citations

Showing 2024Show all

5 papers · 1 filter

eess.SP2024★ 2 cited

How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings

Lu Wang-Nöth, Philipp Heiler, Hai Huang +5

Objective. Electroencephalography (EEG) is a widely used neuroimaging technique known for its cost-effectiveness and user-friendliness. However, various artifacts, particularly bio…

cs.SE2024★ 1 cited

Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes

Cielo Gonzalez Moyano, Finn Klessascheck, Saimir Bala +2

Business Process Management (BPM) is mostly centered around finding technical solutions. Nudging is an approach from psychology and behavioral economics to guide people's behavior.…

math.OC2024

Picking Operations in Warehouses with Dynamically Arriving Orders: How Good is Reoptimization?

Catherine Lorenz, Alena Otto, Michel Gendreau

E-commerce operations are essentially online, with customer orders arriving dynamically. However, very little is known about the performance of online policies for warehousing with…

cs.SE2024★ 15 cited

Centralization potential of automotive E/E architectures

Lucas Mauser, Stefan Wagner

Current automotive E/E architectures are subject to significant transformations: Computing-power-intensive advanced driver-assistance systems, bandwidth-hungry infotainment systems…

cs.HC2024★ 19 cited

Reinforcement Learning-Based Framework for the Intelligent Adaptation of User Interfaces

Daniel Gaspar-Figueiredo, Marta Fernández-Diego, Ruben Nuredini +2

Adapting the user interface (UI) of software systems to meet the needs and preferences of users is a complex task. The main challenge is to provide the appropriate adaptations at t…