13 papers · ranked by Valyu relevance
Alessandro Braga, Marc Schönwiesner
Predictive coding theories argue that deviance detection phenomena, such as mismatch responses and omission responses, are generated by predictive processes with possibly overlapping neural substrates. Molecular imaging and electrophysiology studies of mismatch responses and corollary discharge in the rodent model…
H. T. McGovern, Marte Otten
Hierarchical predictive processing provides a framework outlining how prior expectations shape perception and cognition. Here, we highlight hierarchical predictive processing as a framework for explaining how social context and group-based social knowledge can directly shape intergroup perception. More specifically, we…
Alexandros Bousdekis, Athanasios Kerasiotis, Silvester Kotsias, Georgia Theodoropoulou + 4 more
'Georgia Theodoropoulou' 'Georgios Miaoulis' 'Djamchid Ghazanfarpour' 'Alberto Cano' 'Sylvio Barbon Junior'] The analysis of business processes based on their observed behavior recorded in event logs can be performed with process mining. This method can discover, monitor, and improve processes in various application…
Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas + 1 more
'Chiara Ghidini'] Prescriptive process monitoring methods seek to optimize a business process by recommending interventions at runtime to prevent negative outcomes or address poorly performing cases. In recent years, various prescriptive process monitoring methods have been proposed. This article studies existing…
Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi
'Fabrizio Maria Maggi'] Existing well-investigated Predictive Process Monitoring techniques typically construct a predictive model based on past process executions and then use this model to predict the future of new ongoing cases, without the possibility of updating it with new cases when they complete their…
Mohammad Salehi, Raouf Khayami, Reza Akbari, Mirpouya Mirmozaffari + 1 more
Process Mining (PM) effectively diagnoses inefficiencies in complex healthcare workflows, such as chemotherapy protocols. However, current methodologies often remain retrospective or rely on loosely coupled simulations, leaving a critical methodological void: the inability to quantify the aggregate, system-wide…
Markus Conci, Martina Zellin, Hermann J. Müller
Generating predictions for task-relevant goals is a fundamental requirement of human information processing, as it ensures adaptive success in our complex natural environment. Clark ([4]) proposed a model of hierarchical predictive processing, in which perception, attention, and learning are unified within a coherent…
Giovanni Pezzulo, Alessandro D'Ausilio, Andrea Gaggioli
The ability of “looking into the future”-namely, the capacity of anticipating future states of the environment or of the body-represents a fundamental function of human (and animal) brains. A goalkeeper who tries to guess the ball's direction; a chess player who attempts to anticipate the opponent's next move; or a…
Colm Crowley, Steven Guitron, Joseph Son, Oleg S. Pianykh + 1 more
'Alfredo Vellido'] Limited resources and increased patient flow highlight the importance of optimizing healthcare operational systems to improve patient care. Accurate prediction of exam volumes, workflow surges and, most notably, patient delay and wait times are known to have significant impact on quality of care and…
Romain Brette
Anticipation is a hallmark of all living phenomena, from bacteria to humans. If I notice a cloudy sky, I may take an umbrella to avoid getting wet. In cyanobacteria, which are photosynthetic bacteria, the chromosome decompacts shortly before dawn thanks to circadian rhythms, so that gene expression is favored when it…
Ricardo J. Pais, Pietro Pinoli, Anna Bernasconi
Clinical bioinformatics is a newly emerging field that applies bioinformatics techniques for facilitating the identification of diseases, discovery of biomarkers, and therapy decision. Mathematical modelling is part of bioinformatics analysis pipelines and a fundamental step to extract clinical insights from genomes…
Alexandra Bezbochina, Elizaveta Stavinova, Anton Kovantsev, Petr Chunaev + 1 more
'Petr Chunaev' 'Mohammad Reza Rahimi Tabar'] Driven by the variety of available measures intended to estimate predictability of diverse objects such as time series and network links, this paper presents a comprehensive overview of the existing literature in this domain. Our overview delves into predictability from two…
Angel M. Gama Garcia, Jose M. Alcaraz Calero, Higinio Mora Mora, Qi Wang + 1 more
In the era of Industry 4.0 and 5.0, a transformative wave of softwarisation has surged. This shift towards software-centric frameworks has been a cornerstone and has highlighted the need to comprehend software applications. This research introduces a novel agent-based architecture designed to sense and predict software…