{"title":"Message from the DEEP-ML 2019 Chairs","authors":"","doi":"10.1109/deep-ml.2019.00005","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":228378,"journal":{"name":"2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/deep-ml.2019.00005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.