Cfp July 2016

cfp@alice.wu.ac.at

1 participants
52 discussions

Fwd: [WI] CfP: Workshop Active Learning: Applications, Foundations and Emerging Trends
by Gustaf Neumann 01 Jul '16

01 Jul '16

-------- Weitergeleitete Nachricht -------- Betreff: [WI] CfP: Workshop Active Learning: Applications, Foundations and Emerging Trends Datum: Thu, 30 Jun 2016 20:32:02 +0200 Von: Georg Krempl <georg.krempl(a)iti.cs.uni-magdeburg.de> Antwort an: Georg Krempl <georg.krempl(a)iti.cs.uni-magdeburg.de> Organisation: Otto von Guericke University Magdeburg An: kdml(a)cs.uni-kassel.de, ak-kd-list(a)lists.uni-karlsruhe.de, wi(a)aifb.uni-karlsruhe.de ****************************************************************************** * Submission Deadline: 25 July 2016 * ****************************************************************************** We are pleased to invite submissions for the Workshop ** Active Learning: Applications, Foundations and Emerging Trends ** taking place as part of the International Conference on Knowledge Technologies and Data-driven Business (i-KNOW) in October, 17-19th 2016 in Graz, Austria. Important dates: - Deadline for submissions: July 25 23:59 CEST, 2016 - Notification of acceptance: August 22, 2016 - Camera ready submission: September 12, 2016 - Workshop in Graz: October 17-19, 2016 Submission instructions: - Page limit: 2-4 pages (excluding references) - Submission via EasyChair: https://easychair.org/conferences/?conf=alatiknow2016 - Single-blinded review process, papers need not to be anonymized - At least one author is required to register for i-KNOW. - Contributions are published in open access workshop proceedings, and presented in a spotlight talk/discussion and a poster session. Organizers: - Georg Krempl, University Magdeburg, georg.krempl at ovgu.de - Vincent Lemaire, Orange Labs France, vincent.lemaire at orange.com - Edwin Lughofer, University Linz, edwin.lughofer at jku.at - Daniel Kottke, University Magdeburg, daniel.kottke at ovgu.de The i-KNOW has a 15-year history of bringing together the best minds from science and industry, attracting over 500 leading researchers and developers each year. This workshop addresses the intersection between Data Mining/Machine Learning and interaction with humans or expensive oracles. Active learning has shown to be a very useful methodology in on-line industrial applications for reducing efforts for sample annotation and measurements of ``target'' values (e.g., quality criteria), and for reducing the computation speed of machine learning and data mining tools, for example in data streams. Various approaches, application scenarios and deployment protocols have been proposed for active learning. However, despite the efforts made from academia and industry researchers alike, there are still gaps between research on theoretical and practical aspects. When designing active learning algorithms for real-world data, some specific issues are raised. The main ones are scalability and practicability. Methods must be able to handle high volumes of data, in spaces of possibly high-dimension, and the process for labelling new examples by an expert must be optimized. The aim of this workshop is to provide a forum for researchers and practitioners to discuss approaches, identify challenges and gaps between active learning research and meaningful applications, as well as define new application-relevant research directions. We encouraged also papers that describe applications of active learning in real-world. The industrial context, the main difficulties met and the original solution developed, had to be described. Industrials with open research questions on active learning may also write a paper to raise the questions to the scientific community. Thus, contributions on active learning are welcome that address aspects including, but not limited to: - New Active Learning methods big and streaming data - On-line, incremental, single-pass selection techniques - Active Learning in combination with complex model structures or ensemble selection strategies, e.g. deep learning neural networks, extreme learning machines or recurrent neural networks - Active Learning for cost-sensitive applications or imbalanced data - Active Learning with adaptive budget management/stopping criteria. - Combinations with other techniques, e.g. transfer learning or drift detection - Decremental Active Learning with the usage of unlearning techniques. - Active on-line design of experiments, active class or feature selection - Active, user-centric approaches for selection of information, as for example in BCI or crowdsourcing - Innovative use of Active Learning techniques, e.g. for fraud or outlier detection - New interactive learning protocols and application scenarios, - Applications and Real-world deployment of Active Learning techniques - Evaluation of Active Learning and comparative studies -- Knowledge Management & Discovery Business Information Systems Group Otto-von-Guericke University Magdeburg Building 29, Office 124, Postbox 4120 39016 Magdeburg, Germany georg.krempl at iti.cs.uni-magdeburg.de -- Mailing-Liste: wi(a)lists.kit.edu Administrator: wi-request(a)lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi

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Fwd: 2nd IoT conference, Cambridge university, Proceedings (ACM). Deadline 5 August 2016
by Gustaf Neumann 01 Jul '16

01 Jul '16

-------- Weitergeleitete Nachricht -------- Betreff: 2nd IoT conference, Cambridge university, Proceedings (ACM). Deadline 5 August 2016 Datum: Thu, 30 Jun 2016 12:21:39 -0700 Von: ICC'17 conference <cfp(a)iccconference.com> *Call for Papers* *Second International Conference on Internet of Things Data, and Cloud Computing* *Venue: University of Cambridge, United Kingdom* *22-23 March 2017* The conference proceedings will be published by ACM*(http://www.icc-conference.org/ <http://icc-conference.org/> )* The deadline for submission was extended to *5 August 2016* We would like invite you to submit your paper to second edition of ICC 2017 conference. The past edition was published byACM <http://dl.acm.org/citation.cfm?id=2896387>. *1) Publication:* All accepted and registered papers will be published by ACM, The ISBN number assigned By ACM ICPS to ICC '2017 conference is : 978-1-4503-4774-7 ACM send all published materials to DBLP, Scopus and Thomson Reuters for indexing in their products. *Book chapters:* We will invite authors of accepted papers, to submit a book chapters which will be published by Springer The series Internet Of Things (Springer), check our website for this *Extended version of best papers:* We have many journals indexed in DBLP and Scopus, Please visit <http://icc-conference.org/index.php/publications-journals> * 2) Special Session:* 1. Multimedia application in embedded system 2. Privacy, Security, and Trust in Cloud Services 3. Reliability and Availability 4. MCDA methods for Cloud Services discovery, selection, and composition 5. Taking IoT to the Edge with the Analytics of Things 6. Machine Learning on the Cloud *3) Committee:* *General Chair:* Hani Hamdan. CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S UMR CNRS 8506),Université de Paris-Saclay, Paris, France *Program Chair:* Homero Toral-Cruz, University of Quintana Roo , Mexico *Program Co-Chairs:* Sedat Akleylek, Ondokuz Mayis University, Turkey Hamid Mcheick, Université du Québec, Canada *Publications Chairs:* Huiyu Zhou, Queen's University Belfast,United Kingdom of Great Britain and Northern Ireland *Publications Co-Chair:* Anna Lina Ruscelli,Scuola Superiore S. Anna of Pisa, Italy *4) Topics* Original unpublished manuscripts, and not currently under review in another journal or conference, are solicited in relevant areas including, but not limited to, the following: /*Desirable Topics For IoT:*/ 1. Smart Cities (Smart Parking, Smartphone Detection, Traffic Congestion, Smart Lighting, etc). 2. Smart Water (Potable water monitoring, Chemical leakage detection in rivers, River Floods, Water Leakages, etc). 3. Security & Emergencies 4. Retail (Supply Chain Control, NFC Payment, Intelligent Shopping Applications, Smart Product Management, etc). 5. Logistics (Quality of Shipment Conditions, Item Location, etc). 6. Industrial Control (M2M Applications, Indoor Air Quality, Temperature Monitoring, Indoor Location, etc). 7. Smart Agriculture (Green Houses) 8. Digital health/Telehealth/Telemedicine 9. Smart Farming 10. Smart grids /*Desirable Topics For Cloud Computing:*/ 1. Cloud as a Service 2. Cloud Infrastructure 3. Cloud Management 4. Cloud Security 5. Cloud Applications 6. Cloud Computing Technologies 7. How to manage big data in cloud computing? *Other Topics:* * 4G/5G wireless billing systems, GPRS billing, etc. * Ad hoc and wireless sensors network * Cluster computing and performance * Cognitive radio applications and spectrum management * Congestion and admission control * Cross-layer optimizations in wireless networks * Data warehouse and applications * Database and system security * Delay tolerant network * Design and analysis of wireless LAN/WAN * Energy awareness in communication systems * Grid computing * Internet and web applications * Interoperability of heterogeneous wireless networks of different standards * Intrusion detection systems * IP multimedia subsystems (IMS) * Mobile computing * Multimedia communication * Multimedia communications over wireless * Network architectures and protocols * Radio communications systems * Radio resources management * Radio transmission technologies * RFID networks and protocols * RFID systems * Wireless intelligent networks * Wireless security system *5) Contact * *icc.conference2017(a)gmail.com <mailto:icc.conference2017@gmail.com> * *unsubscribe <mailto:icc.conference2017@gmail.com> *

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Cfp July 2016