Cfp October 2021

cfp@alice.wu.ac.at

1 participants
66 discussions

Fwd: Call for Papers - CSEDU 2022
by Gustaf Neumann 02 Oct '21

02 Oct '21

-------- Forwarded Message -------- Subject: Call for Papers - CSEDU 2022 Date: Fri, 01 Oct 2021 17:00:07 +0000 From: CSEDU Secretariat <csedu(a)scitevents.net> Reply-To: CSEDU Secretariat <csedu(a)scitevents.net> To: gustaf.neumann(a)wu.ac.at CALL FOR PAPERS 14th International Conference on Computer Supported Education Submission Deadline: *November 30, 2021* *https://csedu.scitevents.org* <http://tracking.scitevents.net/tracking/click?d=Rr6hCDmUzXFfwUr5BDLhqoCBvO2…> April 22 - 24, 2022 Online Streaming *We would like to highlight the change of CSEDU 2022 to the online modality due to the slowness of vaccination in many countries in the world, which would potentially affect all participants if the event was organized with physical presence required.* CSEDU, the International Conference on Computer Supported Education, is a yearly meeting place for presenting and discussing new educational tools and environments, best practices and case studies on innovative technology-based learning strategies, and institutional policies on computer supported education including open and distance education. CSEDU will provide an overview of current technologies as well as upcoming trends, and promote discussion about the pedagogical potential of new educational technologies in the academic and corporate world. CSEDU seeks papers and posters describing educational technology research; academic or business case-studies; or advanced prototypes, systems, tools, and techniques. *CSEDU is organized in 6 major tracks:* 1 - Artificial Intelligence in Education <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> 2 - Domain Applications and Case Studies <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> 3 - Information Technologies Supporting Learning <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> 4 - Learning/Teaching Methodologies and Assessment <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> 5 - Social Context and Learning Environments <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> 6 - Ubiquitous Learning <http://tracking.scitevents.net/tracking/click?d=x6O8pZql8Z2-luHr3HRl_LDFq8A…> *Conference Chair(s) <http://tracking.scitevents.net/tracking/click?d=BJ8o977gt5LDglgI9frJe0U60sE…>* Bruce McLaren, Carnegie Mellon University, United States James Uhomoibhi, Ulster University, United Kingdom *Program Chair(s) <http://tracking.scitevents.net/tracking/click?d=PgNINpn7ymIJ61qzbeR76XZfojT…>* Mutlu Cukurova, UCL Knowledge Lab Institute of Education University College London, United Kingdom Nikol Rummel, Unknown, Germany Denis Gillet, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland Proceedings will be submitted for *indexation by:* SCOPUS Google Scholar The DBLP Computer Science Bibliography Semantic Scholar Microsoft Academic Engineering Index (EI) Web of Science / Conference Proceedings Citation Index A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer <http://tracking.scitevents.net/tracking/click?d=VMScNd-iReq1VK_taqvg_WXDIBM…> in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library <http://tracking.scitevents.net/tracking/click?d=y4Y9w3j7u72LYP3mHLdeb8u-otZ…>. Kind regards, Andreia Pereira CSEDU Secretariat *Address:* Av. S. Francisco Xavier Lote 7 Cv. C, Setubal 2900-616, Portugal *Tel:* +351 265 520 184 *Web:* https://csedu.scitevents.org <http://tracking.scitevents.net/tracking/click?d=Rr6hCDmUzXFfwUr5BDLhqoCBvO2…> *e-mail:* csedu.secretariat(a)insticc.org If you no longer wish to receive mail from us, you can unsubscribe <http://tracking.scitevents.net/tracking/unsubscribe?d=nJD8lokNbIthxmxAGRNui…> SCITEVENTS, Av. S. Francisco Xavier Lote 7 Cv. C, Setúbal, 2900-616, Portugal

1 0

Fwd: [AISWorld] KM&EL CFP Special Issue on Digital, or Undigital, that is the question: Shaping the future of Knowledge Management
by Gustaf Neumann 02 Oct '21

02 Oct '21

-------- Forwarded Message -------- Subject: [AISWorld] KM&EL CFP Special Issue on Digital, or Undigital, that is the question: Shaping the future of Knowledge Management Date: Fri, 1 Oct 2021 22:36:43 +0800 From: maggie wang <maggiemhwang(a)gmail.com> To: aisworld <AISWorld(a)lists.aisnet.org> Call for Papers Knowledge Management & E-Learning (KM&EL) (Indexed by Scopus, ESCI) Journal Metrics: Journal Citation Reports 2021 Journal Citation Indicator (JCI): 1.08 | Ranking: 232/722, Q2 in Education & Educational Research Scopus 2020 CiteScore: 3.3 | Ranking: 210/1319, Q1 in Education | 80/248, Q2 in Management of Technology and Innovation Special Issue on Digital, or Undigital, that is the question: Shaping the future of Knowledge Management Guest Editors Prof. Piera Centobelli Professor of Business Management and Organisation Department of Industrial Engineering, University of Naples Federico II, Italy Email: piera.centobelli(a)unina.it Prof. Roberto Cerchione Professor of Business Management Director of SGu and Delegate of Engineering Management Committee, Department of Engineering, University of Naples Parthenope, Italy Email: roberto.cerchione(a)uniparthenope.it Over the past 20 years, research on knowledge management (KM) has witnessed considerable attention throughout the world and has become a strategic factor for all industries to survive in today’s dynamic global business competition (Cerchione et al., 2020; Shashi et al., 2021). The concept of knowledge has been analysed in literature from different perspectives concerning what is knowledge (Newell, 1982), where it is embedded (Alavi & Leidner, 2001; Dalkir, 2017), and how it can be classified (Polanyi, 1958; Nonaka, 1994; Holsapple, 2005). Starting from these conceptualizations, the interesting recent trends have been appeared such as impact of knowledge management on performance (Centobelli et al., 2019), market knowledge sourcing determinants (Endres et al., 2020), heterogeneous knowledge ties (Maghssudipour et al., 2020), role of international joint venture in managing and exploiting knowledge, (Zhang et al., 2018), KM and sustainable innovation (Abbas & Sağsan, 2019). These trends have given unique conceptualization in the KM domain dealing with efficient and effective KM processes, as well as systematic strategies pertaining to knowledge creation, storage, sharing, and execution (Castagna et al., 2020). Despite the growing interest in KM and the number of review papers already published, there is a scarcity of contributions analysing how to revisit the existing theories of KM in light of the different 4.0 enabling technologies occurring within companies (Centobelli et al., 2021), such as the usage of blockchain and Industry 4.0 enabling technologies (e.g., additive manufacturing, augmented and virtual reality, industrial internet, cloud computing, big data and analytics), which enable to tackle disruptions and achieve organizational resilience. Machine learning, telecommuting and smart working paradigms are the pillars that are boosting the growth of organizations. Drawing on KM theories we encourage papers that examine digital knowledge management (DKM) domain, employ original methodologies, and offer interesting theoretical and empirical contribution to this research theme. The potential topics for this special issue may include, but are not limited to: • KM and learning strategies in the 4.0 transition • KM and big data-driven decision-making • KM and analytics for collaborative value creation processes • KM and machine/deep learning • Revisitation of the existing theories of KM in light of the enabling technologies (e.g., blockchain, augmented/virtual reality, industrial internet) • KM & DKM in education and e-learning • Business models for DKM • DKM in manufacturing and service industries • DKM in public and private companies • DKM in large firms, SMEs and startups • DKM in individual firms and networks • DKM in universities and R&D projects • DKM for organizational resilience and responsiveness • DKM in social response to pandemic and crisis • DKM, smart working and agile paradigms • Knowledge management systems (KMSs) supporting digital transformation • Knowledge-based learning systems supporting 4.0 • Ethics in KM in the era of digital transformation Authors working in safety science across industries are encouraged to submit papers on new advances in safety science research, knowledge translation and mobilization. IMPORTANT DATES Deadline for Submission: October 30, 2021 Notification of acceptance: December 30, 2021 Scheduled publication: March 2022 (Vol. 14. No. 1) SUBMISSION INSTRUCTIONS Electronic submission by email to Guest Editor is required ( piera.centobelli(a)unina.it and roberto.cerchione(a)uniparthenope.it) Papers must not have been published, accepted for publication, or presently be under consideration for publication elsewhere. A standard double-blind review process will be used for selecting papers to be published in this special issue. Authors should follow the instructions outlined in the KM&EL Website (see URL http://www.kmel-journal.org/ojs/index.php/online-publication/about/submissi… ) For more information about the KM&EL, please visit the web site: http://www.kmel-journal.org/ojs/index.php/online-publication References Abbas, J., & Sağsan, M. (2019). Impact of knowledge management practices on green innovation and corporate sustainable development: A structural analysis. Journal of Cleaner Production, 229, 611-620. Alavi, M., & Leidner, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136. Castagna, F., Centobelli, P., Cerchione, R., Esposito, E., Oropallo, E., & Passaro, R. (2020). Customer knowledge management in SMEs facing digital transformation. Sustainability, 12(9): 3899. Centobelli, P., Cerchione, R., Esposito, E., & Shashi, S. (2019). The mediating role of knowledge exploration and exploitation for the development of an entrepreneurial university. Management Decision, 57(12), 3301-3320. Centobelli, P., Cerchione, R., Esposito, E., & Oropallo, E. (2021). Surfing blockchain wave, or drowning? Shaping the future of distributed ledgers and decentralized technologies. Technological Forecasting and Social Change, 165: 120463. Cerchione, R., Centobelli, P., Zerbino, P., & Anand, A. (2020). Back to the future of knowledge management systems off the beaten paths. Management Decision, 58(9), 1953-1984. Dalkir, K. (2017). Knowledge management in theory and practice. The MIT Press. Endres, H., Helm, R., & Dowling, M. (2020). Linking the types of market knowledge sourcing with sensing capability and revenue growth: Evidence from industrial firms. Industrial Marketing Management, 90, 30-43. Holsapple, C. W. (2005). The inseparability of modern knowledge management and computer‐based technology. Journal of Knowledge Management, 9(1), 42-52. Maghssudipour, A., Lazzeretti, L., & Capone, F. (2020). The role of multiple ties in knowledge networks: Complementarity in the Montefalco wine cluster. Industrial Marketing Management, 90, 667-678. Newell, A. (1982). The knowledge level. Artificial intelligence, 18(1), 87-127. Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14-37. Polanyi, M. (2015). Personal knowledge: Towards a post-critical philosophy. University of Chicago Press. Shashi, Centobelli, P., Cerchione, R., Merigo, J. (2021). Mapping knowledge management research: A bibliometric overview. Technology and Economic Development of Economy. in Press. Zhang, J., Wu, W., & Chen, R. (2018). Leveraging channel management capability for knowledge transfer in international joint ventures in an emerging market: A moderated mediation model. Industrial Marketing Management, 75, 173-183. _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] CFP-Special Issue in Springer Cluster Computing Journal
by Gustaf Neumann 02 Oct '21

02 Oct '21

-------- Forwarded Message -------- Subject: [AISWorld] CFP-Special Issue in Springer Cluster Computing Journal Date: Fri, 1 Oct 2021 13:19:11 +0200 From: Ejub Kajan <dr.ejubkajan(a)gmail.com> To: agents(a)cs.umbc.edu, SOCNET(a)lists.ufl.edu, aisworld(a)lists.aisnet.org, SEWORLD(a)sigsoft.org CC: Yucong Duan <duanyucong(a)hotmail.com>, Dr. Zakaria Maamar <Zakaria.Maamar(a)zu.ac.ae> Special Issue on Enterprise Architectures in the IoT Era - Challenges, Solutions, and Recommendations - https://www.springer.com/journal/10586/updates/19533562 Internet of Things (IoT), one of the fastest growing Information and Communication Technologies (ICT), is impacting organizations from all perspectives (e.g., operational, legal, financial, and competitiveness) forcing them to review their functional and non-functional practices. According to the International Data Corporation (IDC), ``IoT spending will increase by a compound annual growth rate (CAGR) of 13.6% from 2017 to 2022, reaching $1.2 trillion within the next four years. It is also predicted 41 billion IoT devices by 2027 and 70% of automobiles will be connected to the Internet by 2023. To tap into the endless benefits and uses of IoT, the design principles and foundations of organizations’ enterprise architectures are expected to adjust to ensure a smooth integration of IoT into these architectures’ foundations namely organization, business, information, application, and technology. Aiming at examining these foundations separately and then collectively, this special issue will report about the latest advances and developments in the dynamic field of enterprise architecture in the IoT era. The special issue will cover issues like lack of techniques and guidelines that would enable enterprises to integrate IoT into the life cycle of designing, developing, and deploying enterprise architectures. This integration should lead to a new generation of enterprise architectures that would foster not only a deeper retrospect on the involved interactive digital resources inside the life cycle covering data collection, information analysis, knowledge reasoning and wisdom strategies, but also a better understanding of potential threats as well as the development of new ways of aligning business and ICT resources together to improve the competitiveness of the enterprise in the background of the Artificial Intelligence (AI) trend. Whilst, on the one hand, IoT enacts many opportunities that enterprises could tap into, there are also obstacles that could undermine these opportunities, on the other hand. Some of these obstacles are lack of standards that cover both enterprise architecture and IoT, security holes that potentially exist in IoT devices making them questionable in terms of trust, security, and privacy, IoT limitations like silo restriction, computational capabilities, lack of semantic technologies that should describe IoT in a machine-understandable manner, just to mention some. Topics of Interest Topics for discussions in this special issue include, but are not limited to: * Standards for IoT-based enterprise architecture. * Enterprise architecture for Industry 4.0. * Fog/Cloud collaboration in enterprise architecture (F2F, F2C, C2C) * Data science for IoT-based enterprise architecture. * Semantic technologies for IoT-based enterprise architecture. * Agentification of IoT-based enterprise architecture. * Interoperability inside and between IoT-based enterprise architecture. * Guidelines and best practices for IoT-based enterprise architecture * Privacy, trust, and security of IoT-based enterprise architecture. * Context management and awareness for IoT-based enterprise architecture * Case studies related to IoT-based enterprise architecture. Submission guidelines Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue and the journal theme. In case of extended papers from conferences/workshops please make sure that your cover letter includes main improvements in the journal manuscript, and that you are submitting to this special issue, as well. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, and quality of presentation. Manuscripts should be prepared according to Guide for Authors as published in Cluster Computing Journal at https://www.springer.com/journal/10586/submission-guidelines. We invite prospective authors to submit their manuscripts via the online submission system on the main journal page. Papers that either lack originality, clarity of presentation, or fall outside the scope of the special issue will not be sent for review and authors will be promptly informed in such cases. Important dates * Manuscript Submission Deadline: 15 December 2021 * Initial Decision: 15 February 2022 * Revised Manuscript Due: 15 Mart 2022 * Final Decision: 15 April 2022 * Final Manuscript Due: 30 May 2022 Guest Editors * Ejub Kajan, State University of Novi Pazar, Novi Pazar, Serbia Contact email: dr.ejubkajan(a)gmail.com * Zakaria Maamar, Zayed University, Dubai, UAE * Yucong Duan, Hainan University, Haikou, China *Dr. Ejub Kajan* *Associate Professor* *State University of Novi Pazar* _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] 2021 Health Information Technology Symposium (HITS) Call for Papers, December 12 2021 - Pre-ICIS
by Gustaf Neumann 02 Oct '21

02 Oct '21

-------- Forwarded Message -------- Subject: [AISWorld] 2021 Health Information Technology Symposium (HITS) Call for Papers, December 12 2021 - Pre-ICIS Date: Fri, 1 Oct 2021 15:38:53 +0000 From: Matt W. Wimble <mwimble(a)suffolk.edu> To: aisworld(a)lists.aisnet.org <aisworld(a)lists.aisnet.org> Call For Papers 2021 HITS- Health Information Technology Symposium (Formerly the SIG-Health Pre-ICIS Workshop) An AIS SIG-Health Sponsored Workshop Sunday, December 12, 2021 1:00pm to 5:00pm, Austin TX, USA Theme: On the Road Again – Health IT and Mobility HITS (formerly the SIG-Health Pre-ICIS Workshop) is a pre-conference activity of the International Conference on Information Systems (ICIS) hosted by the Special Interest Group Health IT (SIGHEALTH). It provides a forum for those working on information technology in the context of healthcare. We welcome both research-in-progress and completed work on a broad range of topics and methodologies. Authors do not have to be SIG-Health members to participate. Please note that the papers do not have to fit the theme, just relate to health IT in general. The papers will not be included in conference proceedings and so authors retain all copyrights to their work. However, accepted papers will be listed with author names, affiliations and title on the AIS SIG-Health website. Authors will have the option to include their final extended abstract on the website as well. The workshop is restricted to 40 participants and will include presentations and roundtable discussions. All submitted work will be reviewed by the co-chairs and other workshop authors. All accepted papers will then be presented and discussed during roundtable discussions to provide authors with help, feedback, suggestions, and to facilitate future collaborations. We will have 3-5 authors per table to facilitate discussion. The two papers with highest review scores may be presented to all workshop attendees. The interactive format of the workshop is geared towards providing a high degree of feedback to authors with promising early-stage work, but is certainly open to developed and completed research as well. Workshop Registration Fees (Early bird, regular, onsite): In-Person Attendance with ICIS registration: AIS Academic Member = $20 AIS Professional Member = $25 AIS Student = $10 In-Person Attendance – Workshop Only: AIS Academic Member = $20 AIS Professional Member = $25 AIS Student = $10 Virtual Attendance with ICIS registration: AIS Academic Member = $10 AIS Professional Member = $25 AIS Student = $0 Virtual Attendance – Workshop Only: AIS Academic Member = $10 AIS Professional Member = $25 AIS Student = $10 Submission Instructions: We will request extended abstracts for presentation at the workshop. Papers must be in English, and need to contain original research. Only one paper per first author will be accepted. To submit a paper: -Submit your work at https://easychair.org/conferences/?conf=hits2021 -Create a single pdf file containing an extended abstract that is no longer than six pages (blinded, 11-pt font, one-inch margins on four sides, double-spaced). Please note the extended abstract format of this workshop. Manuscripts which fail to comply with the formatting requirements will likely be rejected. Do not send full length papers. This workshop is designed to given authors of papers at many stages of development timely feedback, therefore authors need to adhere to the format guidelines to facilitate a timely review process. Please note: By submitting, the author team agrees to perform two reviews of other abstracts submitted to the workshop. This is done to ensure each manuscript gets two reviews. Important dates: -Deadline for workshop submissions: Friday, October 15, 2021 -Deadline for reviews: Friday November 5, 2021 -Notification of Acceptance: Monday November 8, 2021 (target date) -Workshop: December 12, 2021 (details on start and end time will be provided later as room assignments are done) Workshop Chairs: Renée Pratt, Ph.D. 2017 HITS Co-Chair Associate Clinical Professor, Auburn University (USA) rpratt(a)auburn.edu Matt Wimble, PhD 2021 HITS Co-Chair Assistant Professor, Suffolk University (USA) mwimble(a)suffolk.edu Matt Wimble, PhD Assistant Professor Suffolk University mwimble(a)suffolk.edu "We are all apprentices in a craft where no one ever becomes a master. " - Ernest Hemingway _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [AISWorld] [CFP] The 37th ACM Symposium on Applied Computing (SAC 2022) - Graph Models for Learning and Recognition (GMLR) Track
by Gustaf Neumann 01 Oct '21

01 Oct '21

-------- Forwarded Message -------- Subject: [AISWorld] [CFP] The 37th ACM Symposium on Applied Computing (SAC 2022) - Graph Models for Learning and Recognition (GMLR) Track Date: Fri, 01 Oct 2021 11:49:29 +0200 From: fulvio.frati(a)unimi.it To: aisworld(a)lists.aisnet.org *** ACM SAC 2022 *** =============== Graph Models for Learning and Recognition (GMLR) Track The 37th ACM Symposium on Applied Computing (SAC 2022) April 25-29, 2022, Brno, Czech Republic <http://phuselab.di.unimi.it/GMLR2022> http://phuselab.di.unimi.it/GMLR2022 MOTIVATIONS AND TOPICS ====================== The ACM Symposium on Applied Computing (SAC 2022) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2022 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Graph Models for Learning and Recognition (GMLR) is the first edition and is organized within SAC 2022. Graphs have gained a lot of attention in the pattern recognition community thanks to their ability to encode both topological and semantic information. Encouraged by the success of CNNs, a wide variety of methods have redefined the notion of convolution for graphs. These new approaches have in general enabled effective training and achieved in many cases better performances than competitors, though at the detriment of computational costs. Typical examples of applications dealing with graph-based representation are: scene graph generation, point clouds classification, and action recognition in computer vision; text classification, inter-relations of documents or words to infer document labels in natural language processing; forecasting traffic speed, volume or the density of roads in traffic networks, whereas in chemistry researchers apply graph-based algorithms to study the graph structure of molecules/compounds. This track intends to focus on all aspects of graph-based representations and models for learning and recognition tasks. GMLR spans, but is not limited to, the following topics: - Graph Neural Networks: theory and applications - Deep learning on graphs - Graph or knowledge representational learning - Graphs in pattern recognition - Graph databases and linked data in AI - Benchmarks for GNN - Dynamic, spatial and temporal graphs - Graph methods in computer vision - Human behavior and scene understanding - Social networks analysis - Data fusion methods in GNN - Efficient and parallel computation for graph learning algorithms - Reasoning over knowledge-graphs - Interactivity, explainability and trust in graph-based learning - Probabilistic graphical models - Biomedical data analytics on graphs Authors of selected top papers of this track will be asked to publish an extended version in a Special Issue of a Journal (the journal will be announced soon). IMPORTANT DATES =============== Submission of regular papers: October 15, 2021 Notification of acceptance/rejection: December 10, 2021 Camera-ready copies of accepted papers: December 21, 2021 SAC Conference: April 25 - 29, 2022 SUBMISSION GUIDELINES ===================== Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC NO-SHOW POLICY ================== Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. TRACK CHAIRS ============ Donatello Conte (University of Tours) Giuliano Grossi (University of Milan) Raffaella Lanzarotti (University of Milan) Jianyi Lin (Università Cattolica del Sacro Cuore) Jean-Yves Ramel (University of Tours) _______________________________________________ AISWorld mailing list AISWorld(a)lists.aisnet.org

1 0

Fwd: [WI] [CFP] The 37th ACM Symposium on Applied Computing (SAC 2022) - Graph Models for Learning and Recognition (GMLR) Track
by Gustaf Neumann 01 Oct '21

01 Oct '21

-------- Forwarded Message -------- Subject: [WI] [CFP] The 37th ACM Symposium on Applied Computing (SAC 2022) - Graph Models for Learning and Recognition (GMLR) Track Date: Fri, 01 Oct 2021 11:49:39 +0200 From: fulvio.frati(a)unimi.it Reply-To: fulvio.frati(a)unimi.it To: wi(a)lists.uni-karlsruhe.de *** ACM SAC 2022 *** =============== Graph Models for Learning and Recognition (GMLR) Track The 37th ACM Symposium on Applied Computing (SAC 2022) April 25-29, 2022, Brno, Czech Republic http://phuselab.di.unimi.it/GMLR2022 <http://phuselab.di.unimi.it/GMLR2022> MOTIVATIONS AND TOPICS ====================== The ACM Symposium on Applied Computing (SAC 2022) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2022 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Graph Models for Learning and Recognition (GMLR) is the first edition and is organized within SAC 2022. Graphs have gained a lot of attention in the pattern recognition community thanks to their ability to encode both topological and semantic information. Encouraged by the success of CNNs, a wide variety of methods have redefined the notion of convolution for graphs. These new approaches have in general enabled effective training and achieved in many cases better performances than competitors, though at the detriment of computational costs. Typical examples of applications dealing with graph-based representation are: scene graph generation, point clouds classification, and action recognition in computer vision; text classification, inter-relations of documents or words to infer document labels in natural language processing; forecasting traffic speed, volume or the density of roads in traffic networks, whereas in chemistry researchers apply graph-based algorithms to study the graph structure of molecules/compounds. This track intends to focus on all aspects of graph-based representations and models for learning and recognition tasks. GMLR spans, but is not limited to, the following topics: - Graph Neural Networks: theory and applications - Deep learning on graphs - Graph or knowledge representational learning - Graphs in pattern recognition - Graph databases and linked data in AI - Benchmarks for GNN - Dynamic, spatial and temporal graphs - Graph methods in computer vision - Human behavior and scene understanding - Social networks analysis - Data fusion methods in GNN - Efficient and parallel computation for graph learning algorithms - Reasoning over knowledge-graphs - Interactivity, explainability and trust in graph-based learning - Probabilistic graphical models - Biomedical data analytics on graphs Authors of selected top papers of this track will be asked to publish an extended version in a Special Issue of a Journal (the journal will be announced soon). IMPORTANT DATES =============== Submission of regular papers: October 15, 2021 Notification of acceptance/rejection: December 10, 2021 Camera-ready copies of accepted papers: December 21, 2021 SAC Conference: April 25 - 29, 2022 SUBMISSION GUIDELINES ===================== Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC NO-SHOW POLICY ================== Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. TRACK CHAIRS ============ Donatello Conte (University of Tours) Giuliano Grossi (University of Milan) Raffaella Lanzarotti (University of Milan) Jianyi Lin (Università Cattolica del Sacro Cuore) Jean-Yves Ramel (University of Tours) -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

1 0

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

Cfp October 2021