ICAML-2020: 2nd International Conference on Applied Machine Learning Interscience Institute of Managements Technology Bhubaneswar, India, October 9-10, 2020 |
Conference website | http://interscience.ac.in/ICAML2020/index.php |
Submission link | https://easychair.org/conferences/?conf=icaml20200 |
Submission deadline | July 1, 2020 |
The 2nd International Conference on Applied Machine Learning (AML-2020) is being organised in IIMT Bhubaneswar by, India, on 9th - 10th Oct, 2019. Machine learning is usually considered as a multidisciplinary intersectional area of several fields such as computer science, artificial intelligence, statistics and operation research etc. Machine learning techniques prove to be useful to improve efficiency, speed and accuracy of outcomes in the presence of large scale data. Machine learning provides the ability to learn and make decisions without any explicit instructions or human intervention along with instantaneous adaption. The rapid growth of various tools and techniques of this field is responsible for understanding the non-linearity existing in the data, extracting several features, finding hidden patterns in data, classifying data into labels and so on. This has led to the tremendous advancement and spread in applications ranging from personalized product recommendations to speech recognition in cell phones; from predictive analytics to security applications that leverage machine learning for implementing filters and safe guards against new threats; from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn users' interests. It also innovatively powers various application sectors such as manufacturing, retail, healthcare, finance, travel, hospitality, science and engineering etc.
The goal of ICAML 2020 is to provide a broad platform to the key areas in machine learning along with emphasizing various application sectors. It aims to bring together researchers, practitioners and scholars from both academia and industry to share their knowledge, exchange ideas and establish new collaborations. Topics such as Bayesian networks, decision tree learning, statistical learning methods, unsupervised learning and reinforcement learning are appreciably invited to participate in the conference. The conference is mostly focused on applied research of machine learning as well as its usage.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers -
- Full text papers (.pdf or .doc) will be accepted.
- All submissions must be more than 4 less than 8 pages in length. Otherwise, if your paper exceeds 8 pages in length, you have to pay for the additional pages (from page 7).
- Submission Gudelines -
- All submitted papers MUST be written in English.
- Prospective authors are kindly invited to submit full text papers including results, tables, figures and references.
- At least one author of each article should attend to the conference.
Topics Covered:
Topic 1 - Core Machine Learning techniques
- Decision Tree • Linear discriminant and support vector machines • Neural networks • Bayesian methods • Instance based learning • Inductive logic programming • Model selection and error estimation • Unsupervised learning • Online, active and reinforcement learning • Computational and statistical learning theory
Topic 2 - Manufacturing
- Process optimization • Demand forecasting • Modeling of predictive purchase behavior • Predictive monitoring of maintenance requirement • Monitoring warranty expenses and liability • Predictive analytics for telematics
Topic 3 - Retail
-
Recommender engines • Market segmentation • Inventory planning using predictive analytics • Cross-channel marketing • Predicting Customer ROI • Forecasting lifetime value .
Topic 4 - Financial Services
- Regulatory risk analytics • Management of sales and marketing campaigns • Evaluation of credit worthiness
Topic 5 - Travel and Hospitality
- Dynamic pricing • Aircraft scheduling • Social media analytics • Analysis of consumer feedback • Resolution of consumer complaints • Identification of traffic patterns • Congestion management
Topic 6 - Healthcare and Life Sciences
- Alerts and diagnostics from real-time patient data • Disease identification and risk stratification • Patient triangle optimization • Proactive health management • Healthcare provider sentiment analysis
Topic 7 - Energy and Utilities
- Power Usage analytics • Carbon emission and trading • Energy demand forecasting • Customer-specific pricing • Smart grid management • Energy optimization
Committees
Organizing committee
- General Chair: Prof. Dr.Srikanta Patnaik, Department of Computer Science and Engineering, SOA University, Bhubaneswar
- Programe Chair: Prof. Dr.Sc.Kazumi Nakamatsu, School of Human Science and Environment University of Hyogo
- Publication Chair: Prof. Dr.Roumen Kountchev, Faculty of Telecommunications, Department of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria
- Publication Co-Chair: Prof. Dr.Nilanjan Dey, Department of Information Technology,
Techno India College of Technology, Kolkata. - Organising Chair: Prof. Dhananjaya Sarangi Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India
- Technical Commitee Chair: Prof. (Dr.) Sushanta Kumar Panigrahi, Interscience Institute of Management and Technology, Bhubaneswar, India
Venue
Interscience Institute of Managements Technology,
At/P. O. Kantabada, Dist. – Khorda, Odisha, Pin-752054
Contact
Miss. Lopamudra Behera
Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India
Mail Id - coordinator.conference@iimt.ac.in
Phone No.- +917809092085