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Related papers: Workflow Patterns in Process Modeling

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We regard explanations as a blending of the input sample and the model's output and offer a few definitions that capture various desired properties of the function that generates these explanations. We study the links between these…

Machine Learning · Computer Science 2020-01-16 Lior Wolf , Tomer Galanti , Tamir Hazan

Large Language Models (LLMs) have facilitated the definition of autonomous intelligent agents. Such agents have already demonstrated their potential in solving complex tasks in different domains. And they can further increase their…

Software Engineering · Computer Science 2025-06-30 Adem Ait , Javier Luis Cánovas Izquierdo , Jordi Cabot

In real-world scenario, many phenomena produce a collection of events that occur in continuous time. Point Processes provide a natural mathematical framework for modeling these sequences of events. In this survey, we investigate…

This paper presents a SysML-based approach to enhance functional and software development process within an industrial context. The recent changes in technology such as electromobility and increased automation in heavy construction…

Software Engineering · Computer Science 2019-06-21 Saurabh Tiwari , Emina Smajlovic , Amina Krekic , Jagadish Suryadevara

Requirements engineering plays a critical role in developing software systems. One of the most difficult tasks in this process is identifying functional requirements. A critical problem in many projects is missing requirements until late in…

Software Engineering · Computer Science 2020-04-02 Sabah Al-Fedaghi

Process mining offers techniques to exploit event data by providing insights and recommendations to improve business processes. The growing amount of algorithms for process discovery has raised the question of which algorithms perform best…

Software Engineering · Computer Science 2018-06-20 Toon Jouck , Alfredo Bolt , Benoît Depaire , Massimiliano de Leoni , Wil M. P. van der Aalst

Simulation has become an essential component of designing and developing scientific experiments. The conventional procedural approach to coding simulations of complex experiments is often error-prone, hard to interpret, and inflexible,…

Computational Physics · Physics 2023-08-09 Peter Sun , John A. Marohn

In this paper, I outline several conceptual and methodological issues related to modeling individual and group processes embedded in clustered/hierarchical data structures. We position multilevel modeling techniques within a broader set of…

Methodology · Statistics 2022-12-29 Amira Ibrahim El-Desokey

BPMN represents an industrial standard created to offer a common and user friendly notation to all the participants to a business process. The present paper aims to briefly present the main features of this notation as well as an…

Software Engineering · Computer Science 2009-04-24 Alexandra Fortis

The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configuration, diagnosis and security. The inherent complexity of…

Networking and Internet Architecture · Computer Science 2024-04-30 Chang Liu , Xiaohui Xie , Xinggong Zhang , Yong Cui

Building effective machine learning (ML) workflows to address complex tasks is a primary focus of the Automatic ML (AutoML) community and a critical step toward achieving artificial general intelligence (AGI). Recently, the integration of…

Machine Learning · Computer Science 2024-12-30 Yang Gu , Hengyu You , Jian Cao , Muran Yu , Haoran Fan , Shiyou Qian

We present a unifying framework for type systems for process calculi. The core of the system provides an accurate correspondence between essentially functional processes and linear logic proofs; fragments of this system correspond to…

Logic in Computer Science · Computer Science 2015-05-29 Emmanuel Beffara

Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow execution metrics on large-scale machines have several key…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-18 Alok Singh , Mai Nguyen , Shweta Purawat , Daniel Crawl , Ilkay Altintas

This paper discusses some generic approach for developing grid-based framework for enabling establishment of workflows comprising existing software in computational sciences areas. We highlight the main requirements addressed the developing…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-21 Vladimir Berezovsky , Alexander Popov

In this paper, we propose a first-order ontology for generalized stratified order structure. We then classify the models of the theory using model-theoretic techniques. An ontology mapping from this ontology to the core theory of Process…

Artificial Intelligence · Computer Science 2009-07-17 Dai Tri Man Le

Causal reasoning is essential for business process interventions and improvement, requiring a clear understanding of causal relationships among activity execution times in an event log. Recent work introduced a method for discovering causal…

Artificial Intelligence · Computer Science 2025-05-30 Yuval David , Fabiana Fournier , Lior Limonad , Inna Skarbovsky

Commercially available business process management systems (BPMS) still suffer to support organizations to enact their business processes in an effective and efficient way. Current BPMS, in general, are based on BPMN 2.0 and/or BPEL. It is…

Multiagent Systems · Computer Science 2014-05-20 J. Kotremba , S. Raß , R. Singer

The paper presents an introductory overview of the workflow automation area, outlining the main types, basic technologies, the essential features of workflow applications. Two sorts of process models for the definition of workflows…

Human-Computer Interaction · Computer Science 2007-05-23 Saulius Maskeliunas

Modern networks carry increasingly diverse and encrypted traffic types that demand classification techniques beyond traditional port-based and payload-based methods. This tutorial provides a practical, end-to-end guide to building…

Networking and Internet Architecture · Computer Science 2026-01-08 Adrian Pekar , Richard Plny , Karel Hynek

Interactive urgent computing is a small but growing user of supercomputing resources. However there are numerous technical challenges that must be overcome to make supercomputers fully suited to the wide range of urgent workloads which…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-29 Nick Brown , Rupert Nash , Gordon Gibb , Evgenij Belikov , Artur Podobas , Wei Der Chien , Stefano Markidis , Markus Flatken , Andreas Gerndt