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pro vyhledávání: '"Wijnberg A"'
Autor:
Boersma, Marcel, Manoorkar, Krishna, Palmigiano, Alessandra, Panettiere, Mattia, Tzimoulis, Apostolos, Wijnberg, Nachoem
Categorization of business processes is an important part of auditing. Large amounts of transactional data in auditing can be represented as transactions between financial accounts using weighted bipartite graphs. We view such bipartite graphs as man
Externí odkaz:
http://arxiv.org/abs/2408.15012
We propose Set2Seq Transformer, a novel sequential multiple instance architecture, that learns to rank permutation aware set representations of sequences. First, we illustrate that learning temporal position-aware representations of discrete timestep
Externí odkaz:
http://arxiv.org/abs/2408.03404
Autor:
Wang, Shuai, Zhang, David W., Huang, Jia-Hong, Rudinac, Stevan, Kackovic, Monika, Wijnberg, Nachoem, Worring, Marcel
Hypergraphs serve as an effective model for depicting complex connections in various real-world scenarios, from social to biological networks. The development of Hypergraph Neural Networks (HGNNs) has emerged as a valuable method to manage the intric
Externí odkaz:
http://arxiv.org/abs/2405.13372
Autor:
Boersma, Marcel, Manoorkar, Krishna, Palmigiano, Alessandra, Panettiere, Mattia, Tzimoulis, Apostolos, Wijnberg, Nachoem
Categorization is one of the basic tasks in machine learning and data analysis. Building on formal concept analysis (FCA), the starting point of the present work is that different ways to categorize a given set of objects exist, which depend on the c
Externí odkaz:
http://arxiv.org/abs/2312.12010
Autor:
Wang, Shuai, Shen, Jiayi, Efthymiou, Athanasios, Rudinac, Stevan, Kackovic, Monika, Wijnberg, Nachoem, Worring, Marcel
The variety and complexity of relations in multimedia data lead to Heterogeneous Information Networks (HINs). Capturing the semantics from such networks requires approaches capable of utilizing the full richness of the HINs. Existing methods for mode
Externí odkaz:
http://arxiv.org/abs/2309.13092
Autor:
Boersma, Marcel, Manoorkar, Krishna, Palmigiano, Alessandra, Panettiere, Mattia, Tzimoulis, Apostolos, Wijnberg, Nachoem
Categorization of business processes is an important part of auditing. Large amounts of transnational data in auditing can be represented as transactions between financial accounts using weighted bipartite graphs. We view such bipartite graphs as man
Externí odkaz:
http://arxiv.org/abs/2210.17330
Autor:
Bakhshianlamouki, Elham, Augustijn, Ellen-Wien, van den Heuvel, Jasper, Terpstra, Teun, Brugnach, Marcela, Voinov, Alexey, Wijnberg, Kathelijne
Publikováno v:
In Ocean and Coastal Management 1 November 2024 258
Publikováno v:
In Geomorphology 15 October 2024 463
Autor:
Boersma, Marcel, Manoorkar, Krishna, Palmigiano, Alessandra, Panettiere, Mattia, Tzimoulis, Apostolos, Wijnberg, Nachoem
Publikováno v:
In Decision Support Systems May 2024 180
We propose ArtSAGENet, a novel multimodal architecture that integrates Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs), to jointly learn visual and semantic-based artistic representations. First, we illustrate the significant ad
Externí odkaz:
http://arxiv.org/abs/2105.08190