Searched for: department:"Intelligent%5C+Systems"
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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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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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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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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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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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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), Wang, 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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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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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, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
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Manolios, S. (author), Hanjalic, A. (author), Liem, C.C.S. (author)
The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based...
conference paper 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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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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Urbano, Julián (author), De Lima, H.A. (author), Hanjalic, A. (author)
In test collection based evaluation of IR systems, score standardization has been proposed to compare systems across collections and minimize the effect of outlier runs on specific topics. The underlying idea is to account for the difficulty of topics, so that systems are scored relative to it. Webber et al. first proposed standardization...
conference paper 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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Urbano Merino, J. (author), De Lima, H.A. (author), Hanjalic, A. (author)
Statistical significance testing is widely accepted as a means to assess how well a difference in effectiveness reflects an actual difference between systems, as opposed to random noise because of the selection of topics. According to recent surveys on SIGIR, CIKM, ECIR and TOIS papers, the t-test is the most popular choice among IR researchers....
conference paper 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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Slokom, M. (author), Larson, M.A. (author), Hanjalic, A. (author)
Data science challenges allow companies, and other data holders, to collaborate with the wider research community. In the area of recommender systems, the potential of such challenges to move forward the state of the art is limited due to concerns about releasing user interaction data. This paper investigates the potential of privacy...
conference paper 2019
Searched for: department:"Intelligent%5C+Systems"
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