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Stephan Hasler and Lydia Fischer , "Stacked Confusion Reject Plots (CORE)", Arxiv, 2024.
AbstractMachine learning is more and more applied in critical application areas like health and driver assistance. To minimize the risk of wrong decisions, in such applications it is necessary to consider the certainty of a classification to reject uncertain samples. An established tool for this are reject curves that visualize the trade-off between the number of rejected samples and classification performance metrics. We argue that common reject curves ...
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Maria Bresich, Guenther Raidl, Steffen Limmer , "Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem", Eurocast 2024, 2024.
AbstractWe consider a practical extension of the classical dial-a-ride problem (DARP) called the electric autonomous DARP where electric and autonomous vehicles provide service for transportation requests with time windows. The planning and scheduling of routes that minimize not only the vehicles’ travel cost but also the user excess ride time while considering charging requirements and operational constraints is a challenging optimization problem. In a ...
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Frank Joublin, Antonello Ceravola, Cristian Sandu , "Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management System ", ArXiv, 2024.
AbstractAlong with the development of chatbot, language models and speech technologies, there is a growing possibility and interest of creating systems able to interfacing with humans seamlessly through natural language or directly via speech. In this paper, we want to demonstrate that placing the research on dialog system in the broader context of embodied intelligence allows to introduce concepts taken from neurobiology and neuropsychology to define be...
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Maria Bresich, Guenther Raidl, Steffen Limmer , "Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem", Eurocast 2024, 2024.
AbstractDue to increasing mobility and transportation demands, the interest in shared and on-demand transportation services is growing and leads to high practical relevance of this research area. In the dial-a-ride problem (DARP), a fleet of vehicles has to provide service to users with transportation requests consisting of a pickup and a drop-off location and a time window for either the departure or arrival, while allowing different customers to share...
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Frank Joublin, Antonello Ceravola, Johane Takeuchi , "Meta-Defined Virtual Humans and Moderated Multiparty Dialogues: A Novel GPTs Agent Architecture", HFES2024, 2024.
AbstractThis research delves into the burgeoning field of human-machine interface for multiparty open dialogues, focusing on the development of human simulators using ChatGPT-4. Our work introduces a novel framework where virtual humans are meta-defined, with their personalities, preferences, skills, and personal vitae generated by Large Language Models (LLMs) based on concise specifications. The dialogues' topics are similarly meta-defined, transformed ...
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Jose Almeida, Joao Soares, Ehsan Aliyan, Steffen Limmer, Ricardo Faia, Sergio Ramos , "Fairness Index Analysis in Local Energy Communities Considering Electric Vehicles and Energy Storage", ICSC CITIES, 2024.
AbstractThis paper is centered on community-based energy sharing with a fairness analysis, focusing on integrating electric vehicles (EV) and energy storage systems. This work utilizes mixed integer linear programming optimization methods to decrease the overall energy expenses of the entire community by optimizing the energy distribution among its members. Multiple benefit distribution strategies were compared and analyzed in terms of fairness using the...
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Antonello Ceravola, Frank Joublin, Johane Takeuchi, Ebubechukwu Ike , "Catalyzing Creativity Empowering Collaborative Brainstorming With Multifaceted Virtual Agents", Artificial Intelligence & Intelligent Automation 2024 (IAAI), 2024.
AbstractThis research delves into the burgeoning field of human-machine interface for multiparty open dialogues, focusing on the development of human simulators using ChatGPT-4. Our work introduces a novel framework where virtual humans are meta-defined, with their personalities, preferences, skills, and personal vitae generated by Large Language Models (LLMs) based on concise specifications. The dialogues' topics are similarly meta-defined, transformed ...
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Tim Puphal, Benedict Flade, Matti Krüger, Ryohei Hirano, Akihito Kimata , "Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios", IEEE International Conference on Vehicular Electronics and Safety 2024, 2024.
AbstractThis paper addresses human driver models for improved driver support. Nowadays, driver support systems help users to drive safely in many driving situations. However, rich information is available from sensed human driver states according to previous research and is not fully used yet. In this paper, we therefore present a human-based risk model that improves driver support using these human factors. The model uses the current perception of the d...
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Stefan Menzel , "Learning-based Representations and AI-supported Optimisation for Engineering Applications", IEEE Conference on Artificial Intelligence, 2024.
AbstractArtificial intelligence successfully contributed to system design and optimisation from a variety of perspectives and on different granularity levels in industrial applications over many years. Among them are aspects like revealing hidden information from data to increase optimisation efficiency, learning surrogate models of costly simulation data for fast optimisation runtime, transferring knowledge between tasks for exploiting synergies, or exp...
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Melvin Wong, Jiao Liu, Thiago de Jesus de Araujo Rios, Stefan Menzel, Yew Soon Ong , "LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking", arXiv, 2024.
AbstractThe rapid research and development of generative artificial intelligence has enabled the generation of high-quality images, text, and 3D models from text prompts. This advancement impels an inquiry into whether these models can be leveraged to create digital artifacts for both creative and engineering applications. Drawing on innovative designs from other domains may be one answer to this question, much like the historical practice of "bionics", ...
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