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Implementation of an Automated Learning System for Non-experts [article]

Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang
2022 arXiv   pre-print
Automated machine learning systems for non-experts could be critical for industries to adopt artificial intelligence to their own applications.  ...  This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.  ...  Conclusions This paper introduces the engineering implementations of a machine learning system that uses a rebuilt development pipeline to involve non-experts into ML development process.  ... 
arXiv:2203.15784v1 fatcat:2gj6rg6sovgfbbenqzafnywv5q

Experimental Assessment of Accuracy of Automated Knowledge Capture [chapter]

Susan M. Stevens, J. Chris Forsythe, Robert G. Abbott, Charles J. Gieseler
2009 Lecture Notes in Computer Science  
To reduce these costs, we are investigating the use of machine learning to produce models of expert behavior for automated student assessment.  ...  Intelligent tutoring systems target this need, but they are often associated with high costs for knowledge engineering and implementation.  ...  Acknowledgements Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under  ... 
doi:10.1007/978-3-642-02812-0_25 fatcat:xmtjm7sq7rd2tfoyssqwiob2fe

Evaluation of a robot programming framework for non-experts using symbolic planning representations

Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty
2017 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)  
In this work, we evaluate a robot programming framework for non-expert users, that requires users to teach action models expressed in a symbolic planning language (PDDL).  ...  We conducted qualitative user experiments with a Baxter robot to evaluate the non-expert user's understanding of the symbolic planning language and the usability of the framework.  ...  A robot programming framework for non-expert users: the user teaches action models, which are used by the robot with an automated planner, to generate an action sequence to achieve a goal.  ... 
doi:10.1109/roman.2017.8172444 dblp:conf/ro-man/LiangPFP17 fatcat:hyduhzibfvac5nrsxtcmosmrby

Prospects of digital technologies implementation in the system of human resources management of Russian agricultural companies

Larisa Strelnikova, V. Kankhva
2021 E3S Web of Conferences  
It also presents methodology of project evaluation in the realm of primary digital technologies implementation to education and professional development of logistics companies' personnel.  ...  The methodology is based on expert approach, using concordance coefficient and range correlation method.  ...  Lotus workplace Collaborative Learning, remote education system E-learning now, in person education system ManageNow, NETg and Skillsoft libraries, which contain a large volume of materials for a variety  ... 
doi:10.1051/e3sconf/202125801002 fatcat:x5tonbqsnjgxpglrc7qp5sacii

Facilitating Processor-Based DPR Systems for non-DPR Experts

Edward Chen, William Gruver, Dorian Sabaz, Lesley Shannon
2008 2008 16th International Symposium on Field-Programmable Custom Computing Machines  
A case study demonstrated that the learning curve required to implement a first working design could be reduced by more than a factor of 15 times by improving the current automation available for microprocessor-based  ...  The objective is to abstract low level details for novice designers, allowing them to focus on learning how to improve the quality of their design as opposed to how to perform the necessary manual transformations  ...  EuTOPIA (EDK TO PlanAhead Implementation Automation) automates the process of converting the non-DPR, microprocessor-based design in EDK into a PlanAhead-based, DPR system.  ... 
doi:10.1109/fccm.2008.57 dblp:conf/fccm/ChenGSS08 fatcat:5fnrrc57kzhybgiqrrfl5lojcy

Benefits and Consequences of Automated Learning in Computer Generated Forces Systems

Mikel Petty
2003 Information & Security An International Journal  
A variety of significant benefits for CGF systems and military simulation in general are claimed to follow from automated learning.  ...  Categories of learning-modified behavior for CGF systems are defined based on what behaviors have been learned.  ...  An application of CGF learning that seems particularly apt is the automated acquisition of knowledge as part of knowledge engineering for CGF behavior. 37 Conclusions Many redoubtable experts in CGF  ... 
doi:10.11610/isij.1203 fatcat:2ct6qbwan5hzjci2oxlvvd6doe

Using ART2 Neural Network and Bayesian Network for Automating the Ontology Constructing Process

Maryam Hourali, Gholam Ali Montazer
2012 Procedia Engineering  
In this article a novel automated method for ontology learning is proposed. First, domain-related documents were collected.  ...  Secondly, the C-value method was implemented for extracting meaningful terms from documents.  ...  In this paper we combined different ontology learning methods such as: statistical, linguistic, and pattern-based for proposing a novel automated ontology learning system in query expansion domain.  ... 
doi:10.1016/j.proeng.2012.01.594 fatcat:7fqj3zgspzcyhmyk7jxinicoja

LEADOR: A Method for End-To-End Participatory Design of Autonomous Social Robots

Katie Winkle, Emmanuel Senft, Séverin Lemaignan
2021 Frontiers in Robotics and AI  
In this article, we present LEADOR (Led-by-Experts Automation and Design Of Robots), an end-to-end PD methodology for domain expert co-design, automation, and evaluation of social robot behaviour.  ...  The robot then progressively learns an appropriate, expert-approved policy, ultimately leading to full autonomy, even in sensitive and/or ill-defined environments.  ...  In addition, we wish to acknowledge the two domain experts, Madeleine Bartlett and Donald Knight, who took part in our foundational works whose reflections contributed to our refinement of the method.  ... 
doi:10.3389/frobt.2021.704119 pmid:34926589 pmcid:PMC8678512 fatcat:efflvkcglbhrdmax3gf52rzqhm

The Future of Instructional Designing in Medical Education: Letting the Computer do the Work

Pandula Siribaddana
2010 Sri Lanka Journal of Bio-Medical Informatics  
Most of these systems are designed based on general Instructional Design theories and for non medical instructional processes.  ...  Therefore, the review analyses the existing instructional design theories and how the prototype automation systems have addressed the issues in facilitating the needs of Subject Matter Experts.  ...  As Harden suggested, answering the question of 'Educational Environment' would be a challenging task for an automated system.  ... 
doi:10.4038/sljbmi.v1i1.1488 fatcat:ybyp7f37nvg4rppyek6omxfyau

ArduCode: Predictive Framework for Automation Engineering [article]

Arquimedes Canedo and Palash Goyal and Di Huang and Amit Pandey and Gustavo Quiros
2020 arXiv   pre-print
Automation engineering is the task of integrating, via software, various sensors, actuators, and controls for automating a real-world process.  ...  Our results show that paragraph embedding techniques can be utilized to classify automation using code snippets with precision close to human annotation, giving an F1-score of 72%.  ...  ACKNOWLEDGEMENTS We thank Evan Patterson, Jade Master, and Georg Muenzel for their valuable input and discussions.  ... 
arXiv:1909.04503v4 fatcat:2kfya3t7knhl7bdqqvrg6ke4km

Reinforcement Learning for Efficient Network Penetration Testing

Mohamed C. Ghanem, Thomas M. Chen
2019 Information  
In this paper, we propose and evaluate an AI-based pentesting system which makes use of machine learning techniques, namely reinforcement learning (RL) to learn and reproduce average and complex pentesting  ...  The proposed system is named Intelligent Automated Penetration Testing System (IAPTS) consisting of a module that integrates with industrial PT frameworks to enable them to capture information, learn from  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info11010006 fatcat:bxhxato4l5fm3ezwpmlxlgbhyy

Machine Learning with Abstention for Automated Liver Disease Diagnosis

Kanza Hamid, Amina Asif, Wajid Abbasi, Durre Sabih, Fayyaz-ul-Amir Afsar Minhas
2017 2017 International Conference on Frontiers of Information Technology (FIT)  
This paper presents a novel approach for detection of liver abnormalities in an automated manner using ultrasound images.  ...  For this purpose, we have implemented a machine learning model that can not only generate labels (normal and abnormal) for a given ultrasound image but it can also detect when its prediction is likely  ...  A number of researchers have implemented different machine learning methods to detect liver abnormalities in an automated fashion.  ... 
doi:10.1109/fit.2017.00070 dblp:conf/fit/HamidAASM17 fatcat:uc5ns5kdk5g3tbksxkaheqdfpy

Towards Automatic Critical Infrastructure Protection through Machine Learning [chapter]

Lorena Cazorla, Cristina Alcaraz, Javier Lopez
2013 Lecture Notes in Computer Science  
To this end, we study the different levels of automation that the IDS can implement, and outline a methodology to endow critical scenarios with preventive automation.  ...  IDS will be helpful for implementing automatic adaptable solutions capable of adjusting to new situations and timely reacting in the face of threats and anomalies.  ...  This work has been partially supported by the EU FP7 project FACIES (HOME/2011/ CIPS/AG/4000002115), by the Spanish Ministry of Science and Innovation and FEDER (European Regional Development Fund) through  ... 
doi:10.1007/978-3-319-03964-0_18 fatcat:jxydrr7d7jdfxatygamm67wepa

Automated pattern recognition: self-generating expert systems for the future

T.L. Isenhour
1985 Journal of Research of the National Bureau of Standards  
The Analytical Director will be an artificial intelligence/robotic expert system for the analytical laboratory.  ...  It will learn from its own experience, the experience of others and communicate what it has learned to others. The Analytical Director will be a self-generating Expert System.  ...  An expert system is, simply stated, a piece of software that behaves like an expert.  ... 
doi:10.6028/jres.090.054 pmid:34566193 pmcid:PMC6644960 fatcat:jsxsyrhk5fakto52j3ljwadhhi


Maksim Pavlenko, Serhii Khmelevskiy, Oleksii Petrov
2020 Advanced Information Systems  
The source of information necessary for the construction of such a priori descriptions can be experts who can solve SR tasks in a non-automated way in conditions of psychological comfort.  ...  In the course of developing automated ERP systems, it is necessary to apply direct methods for characterization of classes of recognizable situations.  ...  The source of information necessary for the construction of such a priori descriptions can be experts who can solve SR tasks in a non-automated way in conditions of psychological comfort.  ... 
doi:10.20998/2522-9052.2020.1.15 fatcat:wwz5yua5q5fyra77filj7tqglq
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