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Chao Wang and Pengcheng An , "Explainability via Interactivity? Supporting Nonexperts’ Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings", CHI PLAY 2021, 2020.
AbstractCurrent research on Explainable AI (XAI) heavily targets on expert users (data scientists or AI developers). However,increasing importance has been argued for making AI more understandable to nonexperts, who are expected to leverage AI techniques, but have limited knowledge about AI. We present a mobile application to support nonexperts to interactively make sense of Convolutional Neural Networks (CNN); it allows users to play with a pretrained C...
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Newton Masinde, Moritz Kanzler, Kalman György Graffi , "Caching Structures for Distributed Data Management in P2P-based Social Networks", IEEE International Symposium on Networks, Computers and Communications, 2020.
AbstractDistributed applications require novel solutions to tackle problems that arise due to the scarcity of resources such as bandwidth, memory and processing power. One of these challenges is seen in distributed data management. The challenge is the two part problem of ensuring that the content is valid when accessed and updating it immediately when changed. This is especially difficult when considering p2p-based distributed online social networks, w...
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Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck , "Simultaneous Exploration of Geometric Features and Performance in Design Optimization", 16th International LS-DYNA Conference 2020, 2020.
AbstractTopology optimization (TO) algorithms generate novel concepts to inspire and propel the design iteration process even for highly nonlinear cases, e.g. [1-3]. LS-TaSC® is an industrial tool which implements TO algorithms and generates designs optimized for maximum stiffness or energy absorption, under specified constraints such as allowed mass fraction of material in the design space. Ramnath et al. [4] propose an approach for design exploration, ...
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Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert , "Proactive Risk Navigation System for Real-World Urban Intersections", Intelligent Transportation Systems Conference, 2020.
AbstractWe consider the problem of intelligently navigating through complex traffic. Urban situations are defined by the underlying map structure and special regulatory objects of e.g. a stop line or crosswalk. Thereon dynamic vehicles (cars, bicycles, etc.) move forward, while trying to keep accident risks low. Especially at intersections, the combination and interaction of traffic elements is diverse and human drivers need to focus on specific eleme...
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Thomas Schmitt, Jens Engel, Tobias Rodemann, Jürgen Adamy , "Application of Pareto Optimization in an Economic Model Predictive Controlled Microgrid", 28th Mediterranean Conference on Control and Automation (MED'2020), pp. 868-874, 2020.
AbstractThis paper presents an economic model predictive control approach for a linear microgrid model. The microgrid in grid-connected mode represents a medium-sized company building including storage systems, renewable energies and couplings between the electrical and heat energy system. Economic model predictive control together with Pareto optimization is applied to find suitable compromises between two competing objectives, i. e. monetary costs and ...
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Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar , "Partner Adaptive Dyadic collaborative Manipulation through Informed Hybrid Bilevel Optimization", IEEE Transactions on Robotics, 2020.
AbstractEffective dyadic collaboration is based on individ- uals’ ability to adapt their policy to their partner’s actions. This article provides a principled formalism to address online adaptation in joint planning problems such as Dyadic col- laborative Manipulation (DcM) scenarios. Human’s intentions are represented as task space goals and are realised as task space forces. We propose a computational bilevel formulation to solve the joint non-s...
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Satchit Ramnath, Mariusz Bujny, Nate Zurbrugg, Stefan Menzel, Duane Detwiler , "Multi-material topology optimization in LS-TaSC using ordered SIMP interpolation", 16th International LS-DYNA Conference 2020, 2020.
AbstractThe use of Topology Optimization (TO) in the automotive industry has proven to be an effective tool for developing conceptual designs capable of meeting conflicting requirements like stiffness, safety, and light weighting. Applying traditional TO method helps meet the set target, however it limits the ability to advance the development of automotive components with multiple material distribution that could enhance the performance significantly. T...
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Jiawen Kong, Thiago de Jesus de Araujo Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck , "On the Performance of Oversampling Techniques for Class Imbalance Problems", PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2020.
AbstractAlthough over 90 oversampling approaches have been developed in the imbalance learning domain, most of the empirical study and application work are still based on the “classical” resampling techniques. In this paper, several experiments on 19 benchmark datasets are set up to study the efficiency of six powerful oversampling approaches, including both “classical” and new ones. According to our experimental results, oversampling techniques that con...
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Viktor Losing, Heiko Wersing, Barbara Hammer , "Randomizing the Self-Adjusting Memory for Learning Under Concept Drift", IEEE International Joint Conference On Neural Networks, 2020.
AbstractReal-time learning from data streams in non-stationary environments gains ever more relevance due to the exponentially increasing amounts of generated data. Recently, the Self-Adjusting Memory (SAM) was proposed, an algorithm able to robustly handle heterogeneous types on the basis of two dedicated memories for the current and former concepts that continuously preserve consistency with explicit filtering. Yet, since the algorithm is restricted to...
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Tobias Rodemann and Kai Kitamura , "Simulation-based Design and Evaluation of a Smart Energy Manager", EuroCAST, 2019.
AbstractDecreasing prices for Photo Voltaic (PV) systems promise an affordable solution for a low emission lifestyle. With the rise of electric mobility a sufficiently large PV system could even be used to power both private homes and Battery Electric Vehicles (BEVs). In practice, the fluctuating nature of PV systems requires a storage element to balance energy flows through periods of over-production (more power is produced than required) and no product...
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