21 papers · ranked by Valyu relevance
Oriol Lordan, Jose M. Sallan, Akbar Ali
Most complex network analyses of transportation systems use simplified static representations obtained from existing connections in a time horizon. In static representations, travel times, waiting times and compatibility of schedules are neglected, thus losing relevant information. To obtain a more accurate description…
Sabah Al‐Fedaghi
– The complexity of software-based systems has increased significantly, especially with regards to capturing requirements along with dependencies among requirements. A conceptual model is a way of thinking about and making sense of the real world's complexities. In this paper, we focused on two approaches in this…
Moxuan Ma, Muyu Wang, Binyu Gao, Yichen Li + 4 more
'Crescenzio Gallo' 'Gianluca Zaza'] The surge in deep learning-driven EMR research has centered on harnessing diverse data forms. Yet, the amalgamation of diverse modalities within time series data remains an underexplored realm. This study probes a multimodal fusion approach, merging temporal and non-temporal clinical…
Hana Pokojná, Barbora Kozlíková, Drew Berry, Simone Kriglstein + 2 more
'Katarína Furmanová' 'Anastassia Zabrodskaja'] The representations of biochemical processes must balance visual portrayals with descriptive content to be an effective learning tool. To determine what type of representation is the most suitable for education, we designed five different representations of adenosine…
T Dvorakova, V Lobellova, P Manubens-Coda, A Sanchez-Jimenez + 3 more
Animals and humans receive the most critical information from parts of the environment that are immediately inaccessible, possibly only visually explored, and highly dynamic. The brain must effectively process potential interactions between elements in such an environment to make appropriate decisions in critical…
Sophia Robert, Leslie G. Ungerleider, Maryam Vaziri-Pashkam
Humans can label and categorize objects in a visual scene with high accuracy and speed—a capacity well-characterized with neuroimaging studies using static images. However, motion is another cue that could be used by the visual system to classify objects. To determine how motion-defined object category information is…
Tobias Rolfes, Jürgen Roth, Wolfgang Schnotz
In this paper we present a laboratory experiment in which 157 secondary-school students learned the concept of function with either static representations or dynamic visualizations. We used two different versions of dynamic visualization in order to evaluate whether interactivity had an impact on learning outcome. In…
Matthew C. Vernon, Matt J. Keeling
Network models are increasingly being used to understand the spread of diseases through sparsely connected populations, with particular interest in the impact of animal movements upon the dynamics of infectious diseases. Detailed data collected by the UK government on the movement of cattle may be represented as a…
Eva Calvo Merino, Qiang Sun, Yihan Wu, Jiawei Liao + 8 more
Reliable decoding of finger movements requires brain-computer interfaces (BCIs) that generalize across the diverse static and dynamic actions performed in daily life. Static postures and dynamic movement sequences rely on partially distinct neural representations, and the balance between these components varies widely…
Daniel Shegogue, W Jim Zheng
Background To standardize gene product descriptions, a formal vocabulary defined as the Gene Ontology (GO) has been developed. GO terms have been categorized into biological processes, molecular functions, and cellular components. However, there is no single representation that integrates all the terms into one…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Aggelos Biboudis, George Fourtounis, Yannis Smaragdakis
We extend prior work on class-morphing to provide a more expressive pattern-based compile-time reflection language. Our MorphJ language offers a disciplined form of metaprogramming that produces types by statically iterating over and pattern-matching on fields and methods of other types. We expand such capabilities…
Sabah Al‐Fedaghi
- Conceptual models rely on structural information to describe relationships among UML classes; among these, the whole–part (WP) relationship plays a fundamental role. This paper explores and analyzes the WP semantics at large with a focus on its software engineering use. The WP relationship has often been treated as a…
Authors not listed
Machine learning is increasingly used to predict reaction properties such as barrier heights, reaction energies, rates, or yields, as well as the underlying molecular geometries, including transition state structures. While such predictions have the potential to provide mechanistic insight for high-impact applications…
Guo Jiahui, Ma Feilong, Matteo Visconti di Oleggio Castello, Samuel A. Nastase + 2 more
Deep convolutional neural networks (DCNNs) trained for face identification can rival and even exceed human-level performance. The ways in which the internal face representations in DCNNs relate to human cognitive representations and brain activity are not well understood. Nearly all previous studies focused on static…
Matteo Dunnhofer, Jean de dieu Uwisengeyimana, Kohitij Kar
How does motion contribute to robust object perception when appearance cues are unreliable? In natural scenes, camouflage, clutter, and occlusion can obscure object boundaries in static images, yet humans often resolve these ambiguities once objects move. Here we ask whether modern artificial vision systems capture…
Yegor Bugayenko
C++, Java, C#, Python, Ruby, JavaScript are the most powerful object-oriented programming languages, if language power would be defined as the number of features available for a programmer. EO, on the other hand, is an object-oriented programming language with a reduced set of features: it has nothing by objects and…
Philipp Haller, Alexandre Loiko
Aliasing is a known source of challenges in the context of imperative object-oriented languages, which have led to important advances in type systems for aliasing control. However, their large-scale adoption has turned out to be a surprisingly difficult challenge. While new language designs show promise, they do not…
Fahmi H. Quradaa, Sara Shahzad, Rashad Saeed, Mubarak M. Sufyan + 1 more
In software development, it’s common to reuse existing source code by copying and pasting, resulting in the proliferation of numerous code clones-similar or identical code fragments-that detrimentally affect software quality and maintainability. Although several techniques for code clone detection exist, many encounter…
Authors not listed
Many successful machine learning models for molecular property prediction rely on Lewis structure representations, commonly encoded as SMILES strings. However, a key limitation arises with molecules exhibiting resonance, where multiple valid Lewis structures represent the same species. This causes inconsistent…
Anthony Onwuli, Keith T. Butler, Aron Walsh
High-dimensional representations of the elements have become common within the field of materials informatics to build useful, structure-agnostic models for the chemistry of materials. However, the characteristics of elements change when they adopt a given oxidation state, with distinct structural preferences and…