Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications
- Call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details
This article provides the call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details of Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications all at one place.
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Conference Location
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Istanbul, Turkey
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Conference Date
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2019-08-26
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Notification Date
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2019-05-20
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Submission Deadline
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2019-04-02
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Conference Website and Submission Link
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http://www.ficloud.org/deep-ml-2019/
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Conference Ranking
International Conference on Deep Learning and Machine Learning in Emerging Applications ranking based on CCF, Core, and Qualis is shown below:
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CCF Ranking
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Core Ranking
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Qualis Ranking
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Click here to check the ranking of any conference.
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About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
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About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.
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About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here
Conference Acceptance Rate
Below is the acceptance rate of International Conference on Deep Learning and Machine Learning in Emerging Applications conference for the last few years:
| Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.
Conference Call for paper
Deep learning and machine learning are 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 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) 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.The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following:Deep and Machine Learning Models and Techniques:Novel machine and deep learningActive learningIncremental learning and online learningAgent-based learningManifold learningMulti-task learningBayesian networks and applicationsCase-based reasoning methodsStatistical models and learningComputational learningEvolutionary algorithms and learningEvolutionary neural networksFuzzy logic-based learningGenetic optimizationClustering, classification and regressionNeural network models and learningParallel and distributed learningReinforcement learningSupervised, semi-supervised and unsupervised learningTensor Learning Deep and Machine Learning for Big Data Analytics:Deep/Machine learning based theoretical and computational modelsNovel techniques for big data storage and processingData analysis, insights and hidden patternData analysis and decision makingData wrangling, munching and cleaningData integration and fusionData visualizationData and information quality, efficiency and scalabilitySecurity threat detection using big data analyticsVisualizing security threatsEnhancing privacy and trustData analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunicationDeep and Machine Learning for Data Mining and Knowledge:Data mining in the web and online systemsMultimedia; images and video data miningFeature extraction and classificationInformation retrieval and extractionDistributed and P2P data searchSentiment analysisMining high velocity data streamsAnomaly detection in streaming dataMining social media and social networksMining sensor and computer networks dataMining spatial and temporal datasetsData classification, clustering, and associationKnowledge acquisition and learningKnowledge representation and reasoningKnowledge discovery in large datasetsDeep and Machine Learning for Computing and Network Platforms:Network and communication systemsSoftware defined networksWireless and sensor networksInternet of Things (IoT)Cloud ComputingEdge and Fog ComputingDeep and Machine Learning Application Areas:Bioinformatics and biomedical informaticsFinance, business and retailIntelligent transportationHealthcare, medicine and clinical decision supportComputer visionHuman activity recognitionInformation retrieval and web searchCybersecurityNatural language processingRecommender systemsSocial media and networksPUBLICATION:All accepted papers will be included in the conference proceedings which is published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) - subseries of Lecture Notes in Computer Science (LNCS)(pending approval). For each accepted paper, at least one author must register for the conference and present the paper.Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (tba).
Submission Deadline
Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications submission deadline is 2019-04-02.
Note: It is generally recommended to submit your conference paper
on or before the submission deadline. Generally, conferences do not
encourage to submit the research paper after the deadline is over.
In rare scenarios, conferences extend their deadline. Decision about the
extension of the deadline is generally updated on the official conference webpage.
Notification date
Notification date of Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications is 2019-05-20.
Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.
Conference Date
Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications will start on 2019-08-26.
Note: This is the date on which the conference starts.
Conference Location
Deep-ML 2019: International Conference on Deep Learning and Machine Learning in Emerging Applications will be organized at Istanbul, Turkey. This is the place where the conference is organized and the research paper is to be presented.
