His primary areas of study are Artificial intelligence, Wearable computer, Computer hardware, Genetic programming and Derived Data. His Artificial intelligence research includes elements of Machine learning and Computer vision. David Andre integrates many fields, such as Wearable computer and engineering, in his works.
His Computer hardware research includes themes of Interface and Non invasive. David Andre has researched Genetic programming in several fields, including Computational molecular biology, Systems engineering, Structure, Darwinism and System identification. His Electronic engineering research is multidisciplinary, incorporating elements of Mixed-signal integrated circuit and Control theory.
His primary areas of investigation include Genetic programming, Artificial intelligence, Multimedia, Human–computer interaction and Wearable computer. The concepts of his Genetic programming study are interwoven with issues in Electrical network, Theoretical computer science, Topology and Parallel computing. His Topology research is multidisciplinary, relying on both Electronic engineering and Component.
In the field of Electronic engineering, his study on Physical design overlaps with subjects such as Monitoring system and Circuit extraction. The various areas that David Andre examines in his Artificial intelligence study include Machine learning, Computation, State and Computer vision. David Andre combines subjects such as Data modeling and Computer hardware with his study of Wearable computer.
His main research concerns Multimedia, Human–computer interaction, Wearable computer, Social psychology and Applied psychology. The study incorporates disciplines such as Content, World Wide Web and Targeted marketing in addition to Multimedia. His work deals with themes such as Wearable technology and Type, which intersect with Human–computer interaction.
His study in Wearable computer is interdisciplinary in nature, drawing from both Electronic engineering and Artificial intelligence. His Electronic engineering study combines topics from a wide range of disciplines, such as Real-time computing and Electronics. His study in the fields of Sensor fusion under the domain of Artificial intelligence overlaps with other disciplines such as Individual health.
David Andre focuses on Wearable computer, Multimedia, Human–computer interaction, Health wellness and Operations management. His Wearable computer research includes themes of Machine learning, Electronic engineering and Artificial intelligence. His Electronic engineering study combines topics in areas such as Real-time computing and Electronics.
His research in the fields of Sensor fusion overlaps with other disciplines such as Individual health. His work carried out in the field of Multimedia brings together such families of science as Wearable technology and State information. His Health wellness research is multidisciplinary, incorporating perspectives in Engineering management and Process management.
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Genetic Programming III: Darwinian Invention and Problem Solving
John R. Koza;David Andre;Forrest H. Bennett;Martin A. Keane.
System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability
Christopher Pacione;Steve Menke;David Andre;Eric Teller.
Method and apparatus for measuring heart related parameters
Jonathan Farringdon;John M. Stivoric;Eric Teller;David Andre.
Automated synthesis of analog electrical circuits by means of genetic programming
J.R. Koza;F.H. Bennett;D. Andre;M.A. Keane.
IEEE Transactions on Evolutionary Computation (1997)
Device to enable quick entry of caloric content
Teller Eric;Stivoric John M;Kasabach Christopher D;Pacione Christopher D.
Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming
John R. Koza;Forrest H. BennettIII;David Andre;Martin A. Keane.
Model based Bayesian exploration
Richard Dearden;Nir Friedman;David Andre.
uncertainty in artificial intelligence (1999)
State abstraction for programmable reinforcement learning agents
David Andre;Stuart J. Russell.
national conference on artificial intelligence (2002)
Generating categorical depth maps using passive defocus sensing
Illah Reza Nourbakhsh;David Andre.
Method and apparatus for long-range planning
Illah Nourbakhsh;Tyler Morse;David Andre;Ofer Matan.
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