26 citations · 96 across the 12 of their papers we have counts for
16 papers
MMArt: A Multi-Perspective Multimodal Dataset for Visual Art Understanding
Shuai Wang, Wangyuan Ding, Yixian Shen +5
Recent vision-language models demonstrate impressive general visual understanding, yet their art interpretation remains shallow: they describe surface content but struggle with for…
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding
Shuai Wang, Ivona Najdenkoska, Hongyi Zhu +4
Understanding visual art requires reasoning across multiple perspectives -- cultural, historical, and stylistic -- beyond mere object recognition. While recent multimodal large lan…
Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning
Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic +2
In many real-world applications, modeling both the internal structure of sets and their temporal relationships is essential for capturing complex underlying patterns. Sequential mu…
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang, David W. Zhang, Jia-Hong Huang +4
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…
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang, Jiayi Shen, Athanasios Efthymiou +4
The variety and complexity of relations in multimedia data lead to Heterogeneous Information Networks (HINs). Capturing the semantics from such networks requires approaches capable…
Flexible categorization for auditing using formal concept analysis and Dempster-Shafer theory
Marcel Boersma, Krishna Manoorkar, Alessandra Palmigiano +3
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…
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic +2
We propose ArtSAGENet, a novel multimodal architecture that integrates Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs), to jointly learn visual and semantic-b…
Non-distributive logics: from semantics to meaning
Willem Conradie, Alessandra Palmigiano, Claudette Robinson +1
We discuss an ongoing line of research in the relational (non topological) semantics of non-distributive logics. The developments we consider are technically rooted in dual charact…
Modelling socio-political competition
Willem Conradie, Alessandra Palmigiano, Claudette Robinson +2
This paper continues the investigation of the logic of competing theories, be they scientific, social, political etc. We introduce a many-valued, multi-type modal language which we…
The logic of vague categories
Willem Conradie, Alessandra Palmigiano, Claudette Robinson +2
We introduce a complete many-valued semantics for basic normal lattice-based modal logic. This relational semantics is grounded on many-valued formal contexts from Formal Concept A…
Toward a Dempster-Shafer theory of concepts
Sabine Frittella, Krishna Manoorkar, Alessandra Palmigiano +2
In this paper, we generalize the basic notions and results of Dempster-Shafer theory from predicates to formal concepts. Results include the representation of conceptual belief fun…
Rough concepts
Willem Conradie, Sabine Frittella, Krishna Manoorkar +4
The present paper proposes a novel way to unify Rough Set Theory and Formal Concept Analysis. Our method stems from results and insights developed in the algebraic theory of modal…
Modelling competing theories
Willem Conradie, Andrew Craig, Alessandra Palmigiano +1
We introduce a complete many-valued semantics for two normal lattice-based modal logics. This semantics is based on reflexive many-valued graphs. We discuss an interpretation and p…
Modelling informational entropy
Willem Conradie, Andrew Craig, Alessandra Palmigiano +1
By 'informational entropy', we understand an inherent boundary to knowability, due e.g. to perceptual, theoretical, evidential or linguistic limits. In this paper, we discuss a log…
Probabilistic Epistemic Updates on Algebras
Willem Conradie, Sabine Frittella, Alessandra Palmigiano +2
The present paper contributes to the development of the mathematical theory of epistemic updates using the tools of duality theory. Here we focus on Probabilistic Dynamic Epistemic…
Categories: How I Learned to Stop Worrying and Love Two Sorts
Willem Conradie, Sabine Frittella, Michele Piazzai +3
RS-frames were introduced by Gehrke as relational semantics for substructural logics. They are two-sorted structures, based on RS-polarities with additional relations used to inter…