Searched for: department%3A%22Intelligent%255C%2BSystems%22
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Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)
Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...
journal article 2022
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van der Lee, S.J. (author), De Rojas, I. (author), Holstege, H. (author), Hulsman, M. (author), Reinders, M.J.T. (author), Tesi, N. (author), van Rooij, Jeroen (author), Zhao, Y. (author), Zhang, X. (author)
Characterization of the genetic landscape of Alzheimer’s disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage<br/>genome-wide association study totaling 111,326 clinically diagnosed/‘proxy’ AD cases and 677,663 controls. We found...
journal article 2022
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van Bree, Elisabeth J. (author), Guimarães, Rita L.F.P. (author), Lundberg, Mischa (author), Blujdea, Elena R. (author), Rosenkrantz, Jimi L. (author), White, Fred T.G. (author), Reinders, M.J.T. (author), Holstege, H. (author), Jacobs, Frank M.J. (author)
Genome-wide association studies (GWAS) have been highly informative in discovering disease-associated loci but are not designed to capture all structural variations in the human genome. Using long-read sequencing data, we discovered widespread structural variation within SINE-VNTR-Alu (SVA) elements, a class of great ape-specific transposable...
journal article 2022
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Bi, Jialin (author), Jin, Ji (author), Qu, Cunquan (author), Zhan, X. (author), Wang, Guanghui (author), Yan, Guiying (author)
Identifying important nodes in networks is essential to analysing their structure and understanding their dynamical processes. In addition, myriad real systems are time-varying and can be represented as temporal networks. Motivated by classic gravity in physics, we propose a temporal gravity model to identify important nodes in temporal...
journal article 2021
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach (e.g. TFMAP, CLiMF, Top-N-Rank) aim at optimizing the same metric being used for evaluation, under the assumption that this will lead to the best performance. A number of studies...
conference paper 2021
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Wang, X. (author), Qiao, T. (author), Zhu, Jihua (author), Hanjalic, A. (author), Scharenborg, O.E. (author)
Text-based technologies, such as text translation from one language to another, and image captioning, are gaining popularity. However, approximately half of the world's languages are estimated to be lacking a commonly used written form. Consequently, these languages cannot benefit from text-based technologies. This paper presents 1) a new...
journal article 2021
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Isufi, E. (author), Pocchiari, Matteo (author), Hanjalic, A. (author)
Graph convolutions, in both their linear and neural network forms, have reached state-of-the-art accuracy on recommender system (RecSys) benchmarks. However, recommendation accuracy is tied with diversity in a delicate trade-off and the potential of graph convolutions to improve the latter is unexplored. Here, we develop a model that learns...
journal article 2021
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
In a collaborative-filtering recommendation scenario, biases in the data will likely propagate in the learned recommendations. In this paper we focus on the so-called mainstream bias: the tendency of a recommender system to provide better recommendations to users who have a mainstream taste, as opposed to non-mainstream users. We propose NAECF,...
conference paper 2021
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Urbano, Julián (author), Corsi, M. (author), Hanjalic, A. (author)
Statistical significance tests are the main tool that IR practitioners use to determine the reliability of their experimental evaluation results. The question of which test behaves best with IR evaluation data has been around for decades, and has seen all kinds of results and recommendations. Definitive answer to this question has recently...
conference paper 2021
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Slokom, M. (author), Hanjalic, A. (author), Larson, M.A. (author)
In this paper, we propose a new privacy solution for the data used to train a recommender system, i.e., the user–item matrix. The user–item matrix contains implicit information, which can be inferred using a classifier, leading to potential privacy violations. Our solution, called Personalized Blurring (PerBlur), is a simple, yet effective,...
journal article 2021
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Jonker, C.M. (author), Murukannaiah, P.K. (author), Verwaart, D. (author)
The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination...
conference paper 2021
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Tesi, N. (author), van der Lee, S.J. (author), Hulsman, M. (author), Holstege, H. (author), Reinders, M.J.T. (author)
Genetic association studies are frequently used to study the genetic basis of numerous human phenotypes. However, the rapid interrogation of how well a certain genomic region associates across traits as well as the interpretation of genetic associations is often complex and requires the integration of multiple sources of annotation, which...
journal article 2021
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Tesi, N. (author), Hulsman, M. (author), van der Lee, S.J. (author), Jansen, Iris E. (author), Stringa, N. (author), van Schoor, Natasja M. (author), Scheltens, Philip (author), Reinders, M.J.T. (author), Holstege, H. (author)
Human longevity is influenced by the genetic risk of age-related diseases. As Alzheimer’s disease (AD) represents a common condition at old age, an interplay between genetic factors affecting AD and longevity is expected. We explored this interplay by studying the prevalence of AD-associated single-nucleotide-polymorphisms (SNPs) in...
journal article 2021
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Hung, Christy (author), Tuck, Eleanor (author), Stubbs, Victoria (author), van der Lee, S.J. (author), Aalfs, Cora (author), van Spaendonk, Resie (author), Scheltens, Philip (author), Hardy, John (author), Holstege, H. (author)
Dysfunction of the endolysosomal-autophagy network is emerging as an important pathogenic process in Alzheimer's disease. Mutations in the sorting receptor-encoding gene SORL1 cause autosomal-dominant Alzheimer's disease, and SORL1 variants increase risk for late-onset AD. To understand the contribution of SORL1 mutations to AD pathogenesis,...
journal article 2021
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Song, Jingkuan (author), He, Tao (author), Gao, Lianli (author), Xu, Xing (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Binary codes have often been deployed to facilitate large-scale retrieval tasks, but not that often for image compression. In this paper, we propose a unified framework, BGAN+, that restricts the input noise variable of generative adversarial networks to be binary and conditioned on the features of each input image, and simultaneously learns...
journal article 2020
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Wang, X. (author), Qiao, T. (author), Zhu, Jihua (author), Hanjalic, A. (author), Scharenborg, O.E. (author)
An estimated half of the world’s languages do not have a written form, making it impossible for these languages to benefit from any existing text-based technologies. In this paper, a speech-to-image generation (S2IG) framework is proposed which translates speech descriptions to photo-realistic images without using any text information, thus...
conference paper 2020
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Zhan, X. (author), Hanjalic, A. (author), Wang, H. (author)
In this paper, we explore how to effectively suppress the diffusion of (mis)information via blocking/removing the temporal contacts between selected node pairs. Information diffusion can be modelled as, e.g., an SI (Susceptible-Infected) spreading process, on a temporal social network: an infected (information possessing) node spreads the...
conference paper 2020
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Zhang, T. (author), Ali, Abdallah El (author), Chen, C. (author), Hanjalic, A. (author), Cesar, Pablo (author)
Recognizing user emotions while they watch short-form videos anytime and anywhere is essential for facilitating video content customization and personalization. However, most works either classify a single emotion per video stimuli, or are restricted to static, desktop environments. To address this, we propose a correlation-based emotion...
journal article 2020
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Rutten, Julie W. (author), Hack, Remco J. (author), Duering, Marco (author), Gravesteijn, Gido (author), Dauwerse, Johannes G. (author), Overzier, Maurice (author), van den Akker, E.B. (author), Slagboom, Eline (author), Holstege, H. (author)
To determine the small vessel disease spectrum associated with cysteine-altering NOTCH3 variants in community-dwelling individuals by analyzing the clinical and neuroimaging features of UK Biobank participants harboring such variants. The exome and genome sequencing datasets of the UK Biobank (n = 50,000) and cohorts of cognitively healthy...
journal article 2020
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Tesi, N. (author), van der Lee, S.J. (author), Hulsman, M. (author), Jansen, Iris E. (author), Stringa, N. (author), van Schoor, N.M. (author), Scheltens, Philip (author), van der Flier, Wiesje M. (author), Huisman, Martijn (author), Reinders, M.J.T. (author), Holstege, H. (author)
Developing Alzheimer’s disease (AD) is influenced by multiple genetic variants that are involved in five major AD-pathways. Per individual, these pathways may differentially contribute to the modification of the AD-risk. The pathways involved in the resilience against AD have thus far been poorly addressed. Here, we investigated to what...
journal article 2020
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