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Yang, Q. (author), Coutino, M. (author), Leus, G. (author), Giannakis, G.B. (author)Graph-based learning and estimation are fundamental problems in various applications involving power, social, and brain networks, to name a few. While learning pair-wise interactions in network data is a well-studied problem, discovering higher-order interactions among subsets of nodes is still not yet fully explored. To this end, encompassing...article 2023
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Künnemann, H. (author), Phillipson, F. (author)The problem of finding the maximum weighted cycle in a directed graph map to solve optimization problems is N P-hard, implying that approaches in classical computing are inefficient. Here, Quantum computing might be a promising alternative. Many current approaches to the quantum computer are based on a Quadratic Unconstrained Binary Optimization...article 2023
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Erten, Ö. (author), Mehryar, S. (author), Çelebi, R. (author), Brewster, C. (author)Gene Ontology (GO) and its Annotations (GOA) provide a controlled and evolving vocabulary for gene products and gene functions widely used in molecular biology. GO & GOA are updated and maintained both automatically from biological publications and manually by curators. These knowledge bases however are often incomplete for two reasons: 1)...conference paper 2023
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Künnemann, H. (author), Phillipson, F. (author)The problem of finding the maximum weighted cycle in a directed graph map to solve optimization problems is (Formula presented.) -hard, implying that approaches in classical computing are inefficient. Here, Quantum computing might be a promising alternative. Many current approaches to the quantum computer are based on a Quadratic Unconstrained...article 2023
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He, Y. (author), Coutino, M. (author), Isufi, E. (author), Leus, G. (author)In this work, we focus on partitioning dynamic graphs with two types of nodes (bi-colored), though not necessarily bipartite graphs. They commonly appear in communication network applications, e.g., one color being base stations, the other users, and the dynamic process being the varying connection status between base stations and moving users....conference paper 2022
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Natali, A. (author), Isufi, E. (author), Coutino Minguez, M.A. (author)This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be theoretically analyzed in its abstract formulation and then instantiated under a variety of model-dependent graph learning problems. This is possible by phrasing (time...article 2022
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Raftopoulou, M. (author), Litjens, R. (author), van Mieghem, P. (author)In this paper, we focus on the link density in random geometric graphs (RGGs) with a distance-based connection function. After deriving the link density in D dimensions, we focus on the two-dimensional (2D) and three-dimensional (3D) space and show that the link density is accurately approximated by the Fréchet distribution, for any rectangular...article 2022
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Semertzis, I. (author), Rajkumar, V.S. (author), Ştefanov, A. (author), Fransen, F. (author), Palensky, P. (author)Over the past decade, the number of cyber attack incidents targeting critical infrastructures such as the electrical power system has increased. To assess the risk of cyber attacks on the cyber-physical system, a holistic approach is needed that considers both system layers. However, the existing risk assessment methods are either qualitative in...conference paper 2022
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DiBrita, N.S. (author), Eledlebi, K. (author), Hilmann, H. (author), Culley, L. (author), Isakovic, A.F. (author)Temporal network analysis and time evolution of network characteristics are powerful tools in describing the changing topology of dynamic networks. This paper uses such approaches to better visualize and provide analytical measures for the changes in performance that we observed in Voronoi-type spatial coverage, particularly for the example of...article 2022
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Burghouts, G.J. (author), Huizinga, W. (author)Visual Question Answering (VQA) is a very interesting tech nique to answer natural language questions about an image. Recent methods have focused on incorporating knowledge into an improved VQA model, by augmenting the training set, representing scene graphs, or including reasoning. We also leverage knowledge to make VQA more robust. Yet we take...conference paper 2022
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Nadi, A. (author), Sharma, S. (author), van Lint, J.W.C. (author), Tavasszy, L. (author), Snelder, M. (author)This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...article 2022
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Panoutsopoulos, H. (author), Brewster, C. (author)AGROVOC is a well-known multilingual controlled vocabulary covering the fields of agriculture, forestry, fisheries, and food. It is used for dataset annotation, indexing of literature, and automated text tagging, and its effective use depends on its continuous update. Currently, updates are done manually by a dispersed community of editors. In...conference paper 2022
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Paardekooper, J.P. (author), Comi, M. (author), Grappiolo, C. (author), Snijders, R. (author), van Vught, W. (author), Beekelaar, R. (author)An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...conference paper 2021
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de Boer, M.H.T. (author), Hillerström, F.H.J. (author)In Hybrid AI, machine learning and knowledge engineering are combined to have the best of both worlds. Insights obtained from data are combined with complementary expert knowledge, which can be represented in a graph structure. Graph networks are a recently new development in machine learning and cover methods that learn on graph structured data...conference paper 2021
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Safari, M. (author), Oortwijn, W. (author), Huisman, M. (author)Many real-world problems such as internet routing are actually graph problems. To develop efficient solutions to such problems, more and more parallel graph algorithms are proposed. This paper discusses the mechanized verification of a commonly used parallel graph algorithm, namely the Bellman–Ford algorithm, which provides an inherently...conference paper 2021
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Sijs, J. (author), Fletcher, J. (author)Robotic systems operating in the real world would benefit from a clear semantic model to understand the real world. Such semantics are typically captured in a knowledge structure. The speed at which robots need to update their real-world knowledge (because of new sensory observations) prevented the use of complex knowledge structures, due to...conference paper 2021
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Natali, A. (author), Isufi, E. (author), Coutino, M. (author), Leus, G. (author)Topology identification is an important problem across many disciplines, since it reveals pairwise interactions among entities and can be used to interpret graph data. In many scenarios, however, this (unknown) topology is time-varying, rendering the problem even harder. In this paper, we focus on a time-varying version of the structural...conference paper 2021
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- Cobos Mendez, R. (author), Oliveira Filho, J. (author), Dresscher, D. (author), Broenink, J. (author) conference paper 2020
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Yang, C. (author), Hawwash, D. (author), de Baets, B. (author), Bouwman, J. (author), Lachat, C. (author)Robust recommendations for healthy diets and nutrition require careful synthesis of available evidence. Given the increasing volume of research articles generated, the retrieval and synthesis of evidence are increasingly becoming laborious and time-consuming. Information technology could help to reduce workload for humans. To guide supervised...article 2020
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Ortega del Vecchyo, M.R. (author), Phillipson, F. (author), Sangers, A. (author)Multiple different attributes are important in the container-to-mode assignment in a transportation network. This paper proposes an interactive multi-objective optimisation approach for planners of those transportation networks. This approach offers a range of solutions according to her/his preferences, and offers the opportunity to seek for new...conference paper 2019