DEEP-ML 2019主席致辞

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The Deep-ML conference provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. It will foster discussions and ideas to inspire participants from different disciplines in order to initiate and establish collaborations within and across disciplines for the further development in the area of deep and machine learning. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and the emerging application areas. The main tracks include; deep and machine learning models and techniques, deep and machine learning for big data analytics, deep and machine learning for data mining and knowledge: deep and machine learning for computing and network platforms, and deep and machine learning application areas. A number of authors have submitted their contributions to the Deep-ML 2019 from different countries across the world. Turkey, being the host country, came top in terms of the submission rate. A total of 48 papers were submitted. Each paper has been reviewed by multiple reviewers of the program committee. Based on the review, the program chairs have selected 14 papers for the technical program which represents 29% as the accepted rate. In addition to the technical paper sessions, the conference also features a hands-on practical workshop on deep learning. We greatly appreciate the efforts and contributions of the workshop organizer, Serpil Üstebay. We are greatly indebted to different people for their contributions in the successful organization of the various activities of the Deep-ML 2019 conference such as the devising the technical program, planning the social events and the local arrangements. We would like to thank Joao Gama and Edwin Lughofer (General Co-Chairs), Filipe Portela (Workshop Coordinator), Esra N. Yolacan (Publicity Chair), Lin Guan (Journal Special Issue Coordinator) and Muhammad Younas (Publication Chair). We are very grateful of the Local Organizing Chairs, Perin Unal (Teknopar, Turkey), Tacha Serif and Sezer Gören Uğurdağ (Yeditepe University, Turkey). We appreciate the program committee for helping in the review process and for providing timely and constructive feedback to the authors. We sincerely thank all the authors for submitting papers to the conference and for presenting and discussing their papers during the conference. We thank the keynote and industry speakers, Pierangela Samarati (Universita` degli Studi di Milano, Italy) and Soumya Kanti Datta (EURECOM, France) and Gökhan Büyükdığan (Arçelik A.S., Turkey) for delivering interesting talks. 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引用次数: 1

摘要

我们非常高兴地欢迎您参加2019年8月26日至28日在土耳其伊斯坦布尔举行的深度学习和机器学习新兴应用国际会议(Deep - ml 2019)。在现代计算及相关领域,深度学习和机器学习已经成为最先进的技术,为开发自主和智能系统提供模型、方法、工具和技术,这些系统可以彻底改变各种领域的工业和商业应用,如在线商务、智能交通、医疗保健和医药、安全、制造、教育、游戏和各种其他工业应用。例如,谷歌在语音和图像识别应用程序中利用了深度学习技术,而亚马逊则利用这些技术帮助客户做出在线购买决策。Deep-ML会议为来自公共部门和行业的研究人员、开发人员、从业者和专业人士提供了一个领先的论坛,以满足和分享解决现代信息社会和经济中前沿问题的最新解决方案和想法。它将促进讨论和想法,以激励来自不同学科的参与者,以便在深度学习和机器学习领域的进一步发展中发起和建立学科内部和跨学科的合作。会议包括一系列专注于深度学习和机器学习以及新兴应用领域的具体挑战的轨道。主要曲目包括;深度和机器学习模型和技术,大数据分析的深度和机器学习,数据挖掘和知识的深度和机器学习:计算和网络平台的深度和机器学习,以及深度和机器学习应用领域。来自世界各地不同国家的许多作者向Deep-ML 2019提交了他们的贡献。主办国土耳其在提交率方面排名第一。共提交论文48篇。每篇论文都经过项目委员会多名审稿人的审阅。在评审的基础上,项目主席为技术项目选择了14篇论文,占录取率的29%。除了技术论文会议外,会议还举办了深度学习实践研讨会。我们非常感谢研讨会组织者Serpil Üstebay的努力和贡献。我们非常感谢不同的人在成功组织Deep-ML 2019会议的各种活动中所做的贡献,例如制定技术方案,策划社交活动和当地安排。我们要感谢Joao Gama和Edwin Lughofer(总联合主席),Filipe Portela(研讨会协调员),Esra N. Yolacan(宣传主席),Lin Guan(期刊特刊协调员)和Muhammad Younas(出版主席)。我们非常感谢当地组织主席Perin Unal(土耳其Teknopar)、Tacha Serif和Sezer Gören Uğurdağ(土耳其Yeditepe大学)。我们感谢项目委员会在审查过程中的帮助,并为作者提供及时和建设性的反馈。我们真诚地感谢所有作者向会议提交论文,并在会议期间展示和讨论他们的论文。我们感谢主讲人和行业发言人Pierangela Samarati(意大利米兰大学)、Soumya Kanti Datta(法国EURECOM)和Gökhan Büyükdığan(土耳其arelik a.s.)的精彩演讲。这些演讲将与FiCloud 2019、Innovate-Data 2019和MobiWis 2019的同一地点会议分享。我们希望您在历史名城伊斯坦布尔度过愉快的时光,这里拥有宏伟的历史、文化和现代旅游景点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Message from the DEEP-ML 2019 Chairs
It is our great pleasure to welcome you to the International Conference on Deep Learning and Machine Learning in Emerging Applications (DEEP-ML 2019), which is held during 26-28 August 2019, in Istanbul, Turkey. In modern computing and related areas, deep learning and machine learning have become the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The Deep-ML conference provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. It will foster discussions and ideas to inspire participants from different disciplines in order to initiate and establish collaborations within and across disciplines for the further development in the area of deep and machine learning. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and the emerging application areas. The main tracks include; deep and machine learning models and techniques, deep and machine learning for big data analytics, deep and machine learning for data mining and knowledge: deep and machine learning for computing and network platforms, and deep and machine learning application areas. A number of authors have submitted their contributions to the Deep-ML 2019 from different countries across the world. Turkey, being the host country, came top in terms of the submission rate. A total of 48 papers were submitted. Each paper has been reviewed by multiple reviewers of the program committee. Based on the review, the program chairs have selected 14 papers for the technical program which represents 29% as the accepted rate. In addition to the technical paper sessions, the conference also features a hands-on practical workshop on deep learning. We greatly appreciate the efforts and contributions of the workshop organizer, Serpil Üstebay. We are greatly indebted to different people for their contributions in the successful organization of the various activities of the Deep-ML 2019 conference such as the devising the technical program, planning the social events and the local arrangements. We would like to thank Joao Gama and Edwin Lughofer (General Co-Chairs), Filipe Portela (Workshop Coordinator), Esra N. Yolacan (Publicity Chair), Lin Guan (Journal Special Issue Coordinator) and Muhammad Younas (Publication Chair). We are very grateful of the Local Organizing Chairs, Perin Unal (Teknopar, Turkey), Tacha Serif and Sezer Gören Uğurdağ (Yeditepe University, Turkey). We appreciate the program committee for helping in the review process and for providing timely and constructive feedback to the authors. We sincerely thank all the authors for submitting papers to the conference and for presenting and discussing their papers during the conference. We thank the keynote and industry speakers, Pierangela Samarati (Universita` degli Studi di Milano, Italy) and Soumya Kanti Datta (EURECOM, France) and Gökhan Büyükdığan (Arçelik A.S., Turkey) for delivering interesting talks. These talks are shared with the co-located conferences of the FiCloud 2019, Innovate-Data 2019 and MobiWis 2019. We hope you enjoy your stay in the historical city of Istanbul which has magnificent historical, cultural and modern tourist attractions.
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