Searched for: department%3A%22Intelligent%255C+Systems%22
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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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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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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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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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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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Mokveld, T.O. (author), Linthorst, J. (author), Al-Ars, Z. (author), Holstege, H. (author), Reinders, M.J.T. (author)
The practical use of graph-based reference genomes depends on the ability to align reads to them. Performing substring queries to paths through these graphs lies at the core of this task. The combination of increasing pattern length and encoded variations inevitably leads to a combinatorial explosion of the search space. Instead of heuristic...
journal article 2020
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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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van den Akker, E.B. (author), Makrodimitris, S. (author), Hulsman, M. (author), Brugman, Martijn H. (author), Nikolic, Tatjana (author), Bradley, Ted (author), Waisfisz, Quinten (author), Baas, Frank (author), Reinders, M.J.T. (author), Holstege, H. (author)
journal article 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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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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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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Linthorst, J. (author), Meert, Wim (author), Hestand, Matthew S. (author), Korlach, Jonas (author), Vermeesch, Joris Robert (author), Reinders, M.J.T. (author), Holstege, H. (author)
The human genome harbors numerous structural variants (SVs) which, due to their repetitive nature, are currently underexplored in short-read whole-genome sequencing approaches. Using single-molecule, real-time (SMRT) long-read sequencing technology in combination with FALCON-Unzip, we generated a de novo assembly of the diploid genome of a...
journal article 2020
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Zhan, X. (author), Hanjalic, A. (author), Wang, H. (author)
Progress has been made in understanding how temporal network features affect the percentage of nodes reached by an information diffusion process. In this work, we explore further: which node pairs are likely to contribute to the actual diffusion of information, i.e., appear in a diffusion trajectory? How is this likelihood related to the...
journal article 2019
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Kim, Jaehun (author), Urbano, Julián (author), Liem, C.C.S. (author), Hanjalic, A. (author)
Inspired by the success of deploying deep learning in the fields of Computer Vision and Natural Language Processing, this learning paradigm has also found its way into the field of Music Information Retrieval. In order to benefit from deep learning in an effective, but also efficient manner, deep transfer learning has become a common approach...
journal article 2019
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Kim, Jaehun (author), Picek, S. (author), Heuser, Annelie (author), Bhasin, Shivam (author), Hanjalic, A. (author)
Profiled side-channel analysis based on deep learning, and more precisely Convolutional Neural Networks, is a paradigm showing significant potential. The results, although scarce for now, suggest that such techniques are even able to break cryptographic implementations protected with countermeasures. In this paper, we start by proposing a new...
journal article 2019
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Deelen, J (author), D., Evans (author), Dan E., Arking (author), Tesi, N. (author), M, Nygaard (author), Liu, Xiaoming (author), Mary K., Wojczynski (author), Reinders, M.J.T. (author), Holstege, H. (author)
Human longevity is heritable, but genome-wide association (GWA) studies have had limitedsuccess. Here, we perform two meta-analyses of GWA studies of a rigorous longevityphenotype definition including 11,262/3484 cases surviving at or beyond the age corre-sponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose...
journal article 2019
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Kim, Jaehun (author), Urbano, Julián (author), Liem, C.C.S. (author), Hanjalic, A. (author)
Deep neural networks have frequently been used to directly learn representations useful for a given task from raw input data. In terms of overall performance metrics, machine learning solutions employing deep representations frequently have been reported to greatly outperform those using hand-crafted feature representations. At the same time,...
journal article 2019
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Song, Jingkuan (author), Guo, Yuyu (author), Gao, Lianli (author), Li, Xuelong (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Video captioning, in essential, is a complex natural process, which is affected by various uncertainties stemming from video content, subjective judgment, and so on. In this paper, we build on the recent progress in using encoder-decoder framework for video captioning and address what we find to be a critical deficiency of the existing...
journal article 2018
Searched for: department%3A%22Intelligent%255C+Systems%22
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