23 papers · ranked by Valyu relevance
Christian Janiesch, Jörn Kuhlenkamp
Business processes represent transactions internal to or between companies, which take place over a certain amount of time. Business processes do not necessary have to be supported or be executed by a business process management (BPM) system. If they do, however, they have the benefit of coordination, which greatly…
Xin Li, Martina Eckert, José-Fernán Martinez, Gregorio Rubio + 1 more
Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous…
Asad Masood Khattak, Noman Akbar, Mohammad Aazam, Taqdir Ali + 4 more
'Adil Mehmood Khan' 'Seokhee Jeon' 'Myunggwon Hwang' 'Sungyoung Lee'] The acceptance and usability of context-aware systems have given them the edge of wide use in various domains and has also attracted the attention of researchers in the area of context-aware computing. Making user context information available to…
Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson + 1 more
Accumulated evidence suggests that Large Language Models (LLMs) are beneficial in predicting neural signals related to narrative processing. The way LLMs integrate context over large timescales, however, is fundamentally different from the way the brain does it. In this study, we show that unlike LLMs that apply…
Shailee Jain, Alexander G Huth
Language encoding models help explain language processing in the human brain by learning functions that predict brain responses from the language stimuli that elicited them. Current word embedding-based approaches treat each stimulus word independently and thus ignore the influence of context on language understanding.…
Víctor López-Jaquero, Arturo C. Rodríguez, Miguel A. Teruel, Francisco Montero + 4 more
'Francisco Montero' 'Elena Navarro' 'Pascual Gonzalez' 'Vladimir Villarreal' 'Carmelo García'] Tele-rehabilitation is one of the main domains where Information and Communication Technologies (ICT) have been proven useful to move healthcare from care centers to patients’ home. Moreover, patients, especially those…
Thomas A. Catanach, Reed McCardell, Ania-Ariadna Baetica, Richard M. Murray
It has been an ongoing scientific debate whether biological parameters are conserved across experimental setups with different media, pH values, and other experimental conditions. Our work explores this question using Bayesian probability as a rigorous framework to assess the biological context of parameters in a model…
Claudia Villalonga, Muhammad Asif Razzaq, Wajahat Ali Khan, Hector Pomares + 5 more
Recent years have witnessed a huge progress in the automatic identification of individual primitives of human behavior, such as activities or locations. However, the complex nature of human behavior demands more abstract contextual information for its analysis. This work presents an ontology-based method that combines…
Deborah Talmi, Lynn J. Lohnas, Nathaniel D. Daw
Emotion enhances episodic memory, an effect thought to be an adaptation to prioritise the memories that best serve evolutionary fitness. But viewing this effect largely in terms of prioritising what to encode or consolidate neglects broader rational considerations about what sorts of associations should be formed at…
Justin R. Minder, Kevin Du, Niklas Stoehr, Giovanni Monea + 3 more
'Chris Wendler' 'Robert M. West' 'Ryan Cotterell'] When making predictions, a language model must trade off how much it relies on its context vs. its prior knowledge. Choosing how sensitive the model is to its context is a fundamental functionality, as it enables the model to excel at tasks like retrievalaugmented…
Jan Hartman, A. W. Klein, Davorin Kopič, Natalia Silberstein
In this work, we introduce the notion of Context-Based Prediction Models. A Context-Based Prediction Model determines the probability of a user's action (such as a click or a conversion) solely by relying on user and contextual features, without considering any specific features of the item itself. We have identified…
Karim Rajaei, Radoslaw Martin Cichy, Hamid Soltanian-Zadeh
Human vision is an active, context-sensitive process that interprets objects in relation to their surroundings. While behavioral research has long shown that scene context facilitates object recognition, the underlying computational mechanisms—and the extent to which artificial vision models replicate this…
Xinyi Hou, Shenao Wang, Yifan Zhang, Ziluo Xue + 3 more
XINYI HOU ∗ , Huazhong University of Science and Technology, China SHENAO WANG ∗ , Huazhong University of Science and Technology, China YIFAN ZHANG, Huazhong University of Science and Technology, China ZILUO XUE, Huazhong University of Science and Technology, China YANJIE ZHAO, Huazhong University of Science and…
Samuel Genheden, Agnes Mårdh, Gustav Lahti, Ola Engkvist + 2 more
We present machine learning models for predicting the chemical context for Buchwald-Hartwig coupling reactions. Using reaction data from in-house electronic lab notebooks, we train two models: one based on single-label data and one based on multi-label data. Both models show excellent top-3 accuracy around 90%, which…
Zachary Humphreys, Xenophon Evangelopoulos, Stavros Gerolymatos, Edward O. Pyzer-Knapp + 1 more
Graph neural networks have recently met huge success in various inference tasks including materials property prediction amongst many others. Nevertheless, having an inherently locally-based representation capacity as they do, global representation of materials' structures can only only be achieved by expanding the…
Authors not listed
Large Language Models and Agentic Artificial Intelligence stand poised to completely overhaul our collective approach to science. Within chemical property prediction in particular, natural language-based workflows for modeling are already making serious inroads. To further this aim, in this white paper we introduce…
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel + 4 more
Predicting and monitoring battery life early and across chemistries is a significant challenge due to the plethora of degradation paths, form factors, and electrochemical testing protocols. Existing models typically translate poorly across different electrode, electrolyte, and additive materials, mostly require a fixed…
Darren J. Edwards, Ciara McEnteggart, Yvonne Barnes-Holmes
Psychology has benefited from an enormous wealth of knowledge about processes of cognition in relation to how the brain organizes information. Within the categorization literature, this behavior is often explained through theories of memory construction called exemplar theory and prototype theory which are typically…
Tan T. Nguyen
| 1. Abstract 3 | | --- | | 2. Introduction 3 | | What is comprehension? 3 | | 3. Conceptual models of discourse and event comprehension 4 | | Classic discourse comprehension accounts 4 | | Contemporary event comprehension accounts 6 | | 4. Computational models of event comprehension 10 | | REPRISE 10 | | SEM 12 | | A…
Authors not listed
In the real world, many reversal phenomena occur—for example, cases in which a statement once regarded as false is later recognized as true. Upside-Down Logic is a framework designed to formalize such reversal phenomena as a logical system. It inverts the truth and falsity of propositions through contextual…
Nicholas T. Franklin, Kenneth A. Norman, Charan Ranganath, Jeffrey M. Zacks + 1 more
Humans spontaneously organize a continuous experience into discrete events and use the learned structure of these events to generalize and organize memory. We introduce the Structured Event Memory (SEM) model of event cognition, which accounts for human abilities in event segmentation, memory, and generalization. SEM…
Pieter Floris Jacobs, Robert Pollice
Scientists across domains are often challenged to master domain-specific languages (DSLs) for their research, which are merely a means to an end but are pervasive in fields like computational chemistry. Automated code generation promises to overcome this barrier, allowing researchers to focus on their core expertise.…
Oluwande Adewoyin, Janet Wesson, Dieter Vogts, Martin Hitz
Several behavioural problems exist in office environments, including resource use, sedentary behaviour, cognitive/multitasking, and social media. These behavioural problems have been solved through subjective or objective techniques. Within objective techniques, behavioural modelling in smart environments (SEs) can…