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检索条件"任意字段=3rd International Workshop on Approaches and Applications of Inductive Programming"

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Deep Community Detection in Attributed Temporal Graphs: Experimental Evaluation of Current approaches 3

Deep Community Detection in Attributed Temporal Graphs: Expe...

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3rd international workshop on Graph Neural Networking

作者： Passos, Nelson A. R. A. Carlini, Emanuele Trani, Salvatore Univ Pisa Pisa Italy CNR Pisa Italy

ISBN: (纸本)9798400712548

Recent advances in network representation learning have sparked renewed interest in developing strategies for learning on spatiotemporal signals, crucial for applications like traffic forecasting, recommendation systems, and social network analysis. Despite the popularity of Graph Neural Networks for node-level clustering, most specialized solutions are evaluated in transductive learning settings, where the entire graph is available during training, leaving a significant gap in understanding their performance in inductive learning settings. This work presents an experimental evaluation of community detection approaches on temporal graphs, comparing traditional methods with deep learning models geared toward node-level clustering. We assess their performance on six real-world datasets, focused on a transductive setting and extending to an inductive setting for one dataset. Our results show that deep learning models for graphs do not consistently outperform more established methods on this task, highlighting the need for more effective approaches and comprehensive benchmarks for their evaluation.

关键词： Graph Neural Networks Node Clustering Temporal Graphs.

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Constraint Community Detection: modelling approaches with applications 3

Constraint Community Detection: modelling approaches with ap...

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3rd international workshop of IT-Professionals on Artificial Intelligence, ProfIT AI 2023

作者： Pichugina, Oksana Kirichenko, Lyudmyla Skob, Yurii Matsiy, Olha National Aerospace University "Kharkiv Aviation Institute" 17 Chkalova Street Kharkiv61070 Ukraine V. N. Karazin Kharkiv National University 4 Svobody Sq. Kharkiv61022 Ukraine

Community Detection (CD) is a fundamental issue in Network Analysis, focusing on identifying densely connected node groups within a network. Its broader interpretation, Constrained Community Detection (CCD), emerges when supplementary constraints are applied, expanding the scope of the problem. CD has been extensively explored in Network Analysis, boasting numerous developed exact and approximate methods. Conversely, CCD encompasses a more extensive array of real-world issues and applications within Network Analysis. There is a significant need to broaden the spectrum of CD problem variants by establishing rigorous mathematical models. These models would serve as the foundation for developing new exact and heuristic algorithms to solve these problems. This paper investigates various approaches to CCD problem (CCDP) modeling. Specifically, we introduce a novel method for problem modeling that encompasses a broader range of constraints and establish its correlation with the conventional CCDP modeling approach. Additionally, we demonstrate its distinct advantages. The integration of these approaches presents opportunities for extending the class of formalized CCDP as polynomial optimization problems. Consequently, these problems can be efficiently addressed using contemporary nonlinear solvers and can also be transformed into solvable QUBO models applicable to both quantum and digital annealing. © 2023 Copyright for this paper by its authors.

关键词： Integer programming

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EMPATHY: 3rd international workshop on Empowering People in Dealing with Internet of Things Ecosystems 2022

EMPATHY: 3rd International Workshop on Empowering People in ...

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16th Working Conference on Advanced Visual Interfaces (ACM AVI)

作者： Balducci, Fabrizio Breve, Bernardo Cena, Federica Mattioli, Andrea Rizvi, Mehdi Univ Bari A Moro Bari Italy Univ Salerno Salerno Italy Univ Turin Turin Italy CNR ISTI Pisa Italy Politecn Milan Milan Italy

ISBN: (纸本)9781450397193

Nowadays, when dealing with Internet of Things (IoT) for people with no prior experience in programming or in designing technology, End-User Development (EUD) solutions offer wide and powerful approaches to support end-users in designing their own IoT smart things and systems. The main goal of this edition of the workshop is to encourage and stimulate a wealthy confrontation on heterogeneous topics related to EUD for IoT applications that exploits different interaction paradigms and innovative interface design. The outcome of the workshop are thought-provoking contributions that range from accessibility and security for IoT systems and devices up to personalization of smart objects.

关键词： End-User Development (EUD) Internet of Things (IoT) Interaction Paradigms for IoT Empowerment

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Answer Set programming and Neurosymbolic AI: applications and Future Perspectives (Invited Talk) 3rd

Answer Set Programming and Neurosymbolic AI: Applications a...

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3rd international workshop on Hybrid Models for Coupling Deductive and inductive Reasoning, HYDRA 2024

作者： Borroto, Manuel Ielo, Antonio Mazzotta, Giuseppe Ricca, Francesco Cosenza Italy

ISBN: (纸本)9783031893650

Answer Set programming (ASP) is a well-known symbolic AI formalism developed in the area of knowledge representation and reasoning. This paper reports on some blendings of ASP with neural approaches, that can be classified as neurosymbolic AI systems. In particular, we describe (i) an industrial application of ASP and neural network that addresses the compliance-checking of electrical control panels, (ii) two possible combinations of ASP with large language models for enabling reasoning from text, and (iii) the usage of machine learning techniques to boost the evaluation of ASP programs by implementing solver selection pipelines. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Computer aided instruction

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A Hybrid Approach of No-Code Robot programming for Agile Production: Integrating Finger-Gesture and Point Cloud

A Hybrid Approach of No-Code Robot Programming for Agile Pro...

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IEEE international workshop on Robot and Human Communication (ROMAN)

作者： Jayanto Halim Paul Eichler Sebastian Krusche Mohamad Bdiwi Steffen Ihlenfeldt Group Collaborative Robot Systems Fraunhofer Institute for Machine Tools and Forming Technology Chemnitz Germany Departement of Production System and Factory Automation Fraunhofer Institute for Machine Tools and Forming Technology Chemnitz Germany

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

Industrial robot programming necessitates specialized expertise and significant time commitment, particularly for small-batch productions. In response to the escalating demand for production agility, novel approaches have emerged in intuitive robot programming. These inventive systems, rooted in diverse conceptual frameworks, are designed to expedite the deployment of robot systems. A prominent innovation in this domain is adopting no-code robot programming through finger-based gestures. A robot program can be generated by capturing and tracking non-expert users’ finger movements and gestures, converting 3D coordinates into an executable robot programming language. However, accurately determining finger positions for 3D coordinates and precise geometrical features presents an ongoing challenge. In pursuit of heightened trajectory precision and reducing more significant effort for the users, we propose a hybrid methodology that amalgamates finger-gesture programming with point cloud data. This synergistic integration demonstrates promising outcomes, substantiating its potential to facilitate the precise and adaptive generation of robot paths within robot applications.

关键词： Point cloud compression Technological innovation Three-dimensional displays Service robots Tracking Robot kinematics Welding Trajectory Robots Robot programming

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Precise Workcell Sketching from Point Clouds Using an AR Toolbox

Precise Workcell Sketching from Point Clouds Using an AR Too...

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IEEE international workshop on Robot and Human Communication (ROMAN)

作者： Krzysztof Zieliński Bruce Blumberg Mikkel Baun Kjærgaard Faculty of Engineering the Maersk Mc Kinney Moller Institute University of Southern Denmark Universal Robots A/S

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

Capturing real-world 3D spaces as point clouds is efficient and descriptive, but it comes with sensor errors and lacks object parametrization. These limitations render point clouds unsuitable for various real-world applications, such as robot programming, without extensive post-processing (e.g., outlier removal, semantic segmentation). On the other hand, CAD modeling provides high-quality, parametric representations of 3D space with embedded semantic data, but requires manual component creation that is time-consuming and costly. To address these challenges, we propose a novel solution that combines the strengths of both approaches. Our method for 3D workcell sketching from point clouds allows users to refine raw point clouds using an Augmented Reality (AR) interface that leverages their knowledge and the real-world 3D environment. By utilizing a toolbox and an AR-enabled pointing device, users can enhance point cloud accuracy based on the device’s position in 3D space. We validate our approach by comparing it with ground truth models, demonstrating that it achieves a mean error within 1cm — significant improvement over standard LiDAR scanner apps.

关键词： Point cloud compression Solid modeling Three-dimensional displays Laser radar Accuracy Semantic segmentation Semantics Robot sensing systems Standards Robot programming

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EMPATHY: Third international workshop on Empowering People in Dealing with Internet of Things Ecosystems 3

EMPATHY: Third International Workshop on Empowering People i...

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3rd international workshop on Empowering People in Dealing with Internet of Things Ecosystems, EMPATHY 2022

作者： Balducci, Fabrizio Breve, Bernardo Cena, Federica Mattioli, Andrea Rizvi, Mehdi University of Bari"A. Moro" Bari Italy University of Salerno Salerno Italy University of Turin Torino Italy CNR-ISTI Pisa Italy Politecnico di Milano Milano Italy

Preface of the third international workshop on Empowering People in Dealing with Internet of Things Ecosystems. The EMPATHY project has been funded by the Italian Ministry of Education, Universities and Research (MIUR) through a three-year basis research projects of national interest (PRIN) in 2017. © 2022 Copyright for this paper by its authors.

关键词： Internet of things

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Aspect-Oriented Language for Reactive Distributed applications at the Edge 3

Aspect-Oriented Language for Reactive Distributed Applicatio...

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3rd ACM international workshop on Edge Systems, Analytics and Networking (EdgeSys)

作者： Kuraj, Ivan Solar-Lezama, Armando MIT CSAIL 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781450371322

This paper presents EdgeC, a new language for programming reactive distributed applications. It enables separation of concerns between expressing behavior and controlling distributed aspects, inspired by aspect-oriented language design. In EdgeC, developers express functionality with sequential behaviors, and data allocation, reactivity, consistency, and underlying network with orthogonal specifications. Through such separation, EdgeC allows developers to change functionality and control the shape of resulting distributed behaviors without cross-cutting code, simplifying deployment to the edge. Developers can reason about and test their applications as sequential executions, whilst EdgeC automatically synthesizes low-level distributed code. It handles, with the help of the EdgeC run-time, allocation, communication, concurrency, and coordination, across the specified, potentially non-uniform, network model. We introduce the main features of EdgeC, present the new compiler design, its prototype implementation, the resulting performance, and discuss the potential of the approach for simplifying development of reactive applications over nonuniform networks and achieving performance gains, compared to existing approaches.

关键词： Aspect orientation Distributed programming Nonuniform network Separation of concerns

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Concepts for reliable communication in a software-defined network architecture

Concepts for reliable communication in a software-defined ne...

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international Conference on Computer Safety, Reliability, and Security, SAFECOMP 2017 and 5th international workshop on Assurance Cases for Software-Intensive Systems, ASSURE 2017, 12th workshop on Dependable Embedded and Cyber-physical Systems and Systems-of Systems, DECSoS 2017, 6th international workshop on Next Generation of System Assurance approaches for Safety Critical Systems, SASSUR 2017, 3rd international workshop on Technical and Legal Aspects of Data Privacy and Security, TELERISE 2017 and 2nd international workshop on the Timing Performance in Safety Engineering, TIPS 2017

作者： von Tüllenburg, Ferdinand Pfeiffenberger, Thomas Salzburg Research ForschungsgmbH Jakob Haringerstr. 5/3 Salzburg5020 Austria

ISBN: (纸本)9783319662831

Not available services or service interruption could have different impact to our social life. Emails or messages which are not delivered in a proper time-frame could lead to omit a meeting or a discussion with colleagues. Interconnected CPS in different domains, like autonomous driving, smart grids, Industry 4.0, needs a guaranteed and safe delivery of information. Nowadays distributed application in critical infrastructures such as transportation (e.g. air traffic management, train control, traffic management), financial services, or electricity systems, are often implemented in dedicated network infrastructures not using the public Internet. This leads to high expenditures (CAPEX and OPEX) for the companies to maintain these separated and dedicated telecommunication infrastructure. Our approach in this work is to verify concepts to share the Internet, as a telecommunication infrastructure for critical and non-critical applications. This reduces the effort to implement and to manage different communication architectures. The present work develops and evaluates methods and procedures that enable high reliable communication between two endpoints over several shared telecommunication networks for future critical and uncritical applications. Our approach shows that it is possible to use the public Internet for future communication requirements in a converged network. Further innovations include the integration of novel network technologies, such as software-defined networks (SDN), programming protocol independent packet processors (P4), and self-adaptive and autonomous network management functions. © Springer international Publishing AG 2017.

关键词： Network management

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Learning complex activity preconditions in process mining 3

Learning complex activity preconditions in process mining

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3rd international workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014 held in Conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2014

作者： Ferilli, Stefano De Carolis, Berardina Esposito, Floriana Dipartimento di Informatica Università di Bari Bari Italy Centro Interdipartimentale per la Logica e sue Applicazioni Università di Bari Bari Italy

ISBN: (纸本)9783319178752

The availability of automatic support may sometimes determine the successful accomplishment of a process. Such a support can be provided if a model of the intended process is available. Many real-world process models are very complex. Additionally, their components might be associated to conditions that determine whether they are to be carried out or not. These conditions may be in turn very complex, involving sequential relationships that take into account the past history of the current process execution. In this landscape, writing and setting up manually the process models and conditions might be infeasible, and even standard Machine Learning approaches may be unable to infer them. This paper presents a First-Order Logic-based approach to learn complex process models extended with conditions. It combines two powerful inductive Logic programming systems. The overall system was exploited to learn the daily routines of the user of a smart environment, for predicting his needs and comparing the actual situation with the expected one. In addition to proving the efficiency and effectiveness of the system, the outcomes show that complex, human-readable and interesting preconditions can be learned for the tasks involved in the process. © Springer international Publishing Switzerland 2015.

关键词： inductive logic programming (ILP)

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