MDA'2021
Report about MDA 2021 in New York, USA
Report of MDA AI&PR 2021
The 16th International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA-AI&PR with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry, Agriculture, Drug Discovery, and System Biology was held in New York, USA, July 12 – 14, 2021. As the yearly conference MDA-AI&PR is part of the World Congress “The Frontiers in Intelligent Data and Signal Analysis”, New York, USA, July 11-22, one may say that this year new frontiers in knowledge have been touched. The above mentioned statement is justified by the innovative topics presented, the academic level of tutorials, and by the rigorous and professional review process which trialled the submitted papers and retained a limited number of high scientific quality ones. The opening session was addressed by the conference chair, Professor Dr. Petra Perner. In her introductory address, Professor Petra Perner gave a brief overview of the current knowledge on the causal links between mass data analysis and the development of new knowledge in the actual context of effervescent technical, environmental, social and economic dynamics.
All the papers presented in the conference will be indexed in the SCOPUS data base:
- Cloud Supportive Multi-Stage Selection Model for Multiple Imputation in Large Scale Study: Non-Ignorable NMAR, authors: Jagan Mohan Reddy, Seelam Srinivasa Reddy, G Vijaya Suresh; Lakireddy Bali Reddy College of Engineering, Mylavram, Andhra Pradesh, India.
- Assessing long term degradation of industrial assets based on their production output curves, authors: Pierre Dagnely, Peter Van Hese, Tom Tourwe, Elena Tsiporkova; Sirris - Elucidata Innovation Lab, Brussels, Belgium.
- Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle, authors: Valentino Constantinou, Mori Kabiri, InfiniGlobe; LLC, Newport Beach, USA.
- Rymon Trees and Binary Data Biclusters, authors: Joshua Yee, Haoyu Wang, Dan A. Simovici; University of Massachusetts Boston, Boston, USA.
- Two Strategies for the Classification of the Quality of Red Wine, authors: Brian Benson, Warwick Graco, Hari Koesmarno, Ed Lewis, Garry Mitchell, Tony Nolan, Peter Phillips; Analytics Shed, Jindera, New South Wales, Australia.
- An Automated Equine 3D Scanner, Thermography and Imaging Analysis Platform for Early Injury Detection and Intervention of Racehorses, authors: J.C. Sargis1, S.P. Muske2; 1Equine Fax Inc., Encinitas, USA , 2Springer Heidelberg, Heidelberg, Germany.
- Analysis of Pollutant and Greenhouse Gases using Infrared Hyperspectral Image Processing Techniques, authors: Yasemin Yardimci Cetin1, Petra Perner2; 1Middle East Technical University, Ankara, Turkey, 2Futurelab Artificial Intelligence IBaI-2, Radeberg, Germany.
- Discrete Event Model of Pandemic Data Processing, author: Calin Ciufudean; Stefan cel Mare University, Suceava, Romania.
- Variational-Autoencoder Architectures for Anomaly Detection in Industrial Processes, authors: Felix Neubürger, Yasser Saeid, Thomas Kopinski; South Westphalia, University of Applied Sciences, Meschede, Germany.
- Enhancing User’s Income Estimation with Super- App Alternative Data, authors: Gabriel Suárez1, Juan Raful1, Maria A. Luque1, Carlos F. Valencia2, Alejandro Correa-Bahnsen1; 1Rappi, Bogotá, Colombia, 2Industrial Engineering, University of Los Andes, Bogota, Colombia.
The conference chair, Professor Dr. Petra Perner, presented the following tutorials: Standardization in Immunofluorescence, on July 12th, and Intelligent Image Interpretation and Computer Vision in Medicine, Biotechnology, Chemistry & Food Industry, on July 13th.
As Professor Dr. Petra Perner addressed the farewell message, the main remark was that constructive talks between conference participants, as well as the collaboration and engagement for new developments in the generous topics of the conference characterized the too short days of MDA 2021.
Prof. Calin Ciufudean Stefan Marcel University, Rumania
Tutorial Case-based Reasoning REVIEW
The CBR tutorial was an eye opener enriching experience about how to approach incremental data scenarios using case based reasoning. Prof. Dr. Petra Perner is an expert in the matter and gets to transmit the message in a clear and precise way. She was prompt to respond all the questions and arise interesting discussions around them. Looking forward to keep learning about the subject.
Gabriel Suarez
Rappi, Bogota, Columbia
