Artificial Intelligence

1.

Predicting ADME properties and side effects: the BioPrint approach.

Computational methods are increasingly used to streamline and enhance the lead discovery and optimization process. However, accurate prediction of absorption, distribution, metabolism and excretion (ADME) and adverse drug reactions (ADR) is often ...
Cecile M Krejsa, Dragos Horvath, Sherri L Rogalski, Julie E Penzotti, Boryeu Mao, Frédérique Barbosa, Jacques C Migeon (Curr Opin Drug Discov Devel, 200307)
predicting-adme-properties-side-effects-bioprint-approach.asp

2.

A grounded theory of abstraction in artificial intelligence.

In artificial intelligence, abstraction is commonly used to account for the use of various levels of details in a given representation language or the ability to change from one level to another while preserving useful properties. Abstraction has been ...
Jean-Daniel Zucker (Philos Trans R Soc Lond B Biol Sci, 200307)
grounded-theory-abstraction-artificial-intelligence.asp

3.

Abstraction and reformulation in artificial intelligence.

This paper contributes in two ways to the aims of this special issue on abstraction. The first is to show that there are compelling reasons motivating the use of abstraction in the purely computational realm of artificial intelligence. The second is to ...
Robert C Holte, Berthe Y Chouiery (Philos Trans R Soc Lond B Biol Sci, 200307)
abstraction-reformulation-artificial-intelligence.asp

4.

A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces.

We present three datasets that were used to conduct an open competition for evaluating the performance of various machine-learning algorithms used in brain-computer interfaces. The datasets were collected for tasks that included: 1) detecting explicit ...
Paul Sajda, Adam Gerson, Klaus-Robert Müller, Benjamin Blankertz, Lucas Parra (IEEE Trans Neural Syst Rehabil Eng, 200306)
data-analysis-competition-evaluate-machine-learning-algorithms-brain.asp

5.

Computerizing reading training: evaluation of a latent semantic analysis space for science text.

The effectiveness of a domain-specific latent semantic analysis (LSA) in assessing reading strategies was examined. Students were given self-explanation reading training (SERT) and asked to think aloud after each sentence in a science text. Novice and ...
Christopher A Kurby, Katja Wiemer-Hastings, Nagasai Ganduri, Joseph P Magliano, Keith K Millis, Danielle S McNamara (Behav Res Methods Instrum Comput, 200305)
computerizing-reading-training-evaluation-latent-semantic-analysis.asp

6.

Using genetic programming to discover nonlinear variable interactions.

Psychology has to deal with many interacting variables. The analyses usually used to uncover such relationships have many constraints that limit their utility. We briefly discuss these and describe recent work that uses genetic programming to evolve ...
Chris Westbury, Lori Buchanan, Michael Sanderson, Mijke Rhemtulla, Leah Phillips (Behav Res Methods Instrum Comput, 200305)
genetic-programming-discover-nonlinear-variable-interactions.asp

7.

Screening of high production volume chemicals for estrogen receptor binding activity (II) by the MultiCASE expert system.

A structurally and functionally diverse and cross-validated quantitative structure-activity knowledge database generated by the MultiCASE expert system was used to screen 2526 high production volume chemicals (HPVCs) for their estrogen receptor binding ...
Gilles Klopman, Suman K Chakravarti (Chemosphere, 200305)
screening-high-production-volume-chemicals-estrogen-receptor-binding.asp

8.

Robonaut: a robot designed to work with humans in space.

The Robotics Technology Branch at the NASA Johnson Space Center is developing robotic systems to assist astronauts in space. One such system, Robonaut, is a humanoid robot with the dexterity approaching that of a suited astronaut. Robonaut currently has ...
William Bluethmann, Robert Ambrose, Myron Diftler, Scott Askew, Eric Huber, Michael Goza, Fredrik Rehnmark, Chris Lovchik, Darby Magruder (Auton Robots, 200303-05)
robonaut-robot-designed-work-humans-space.asp

9.

Prediction of skin penetration using artificial neural network (ANN) modeling.

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful ...
Tuncer Degím, Jonathan Hadgraft, Sibel Ilbasmis, Yalçin Ozkan (J Pharm Sci, 200303)
prediction-skin-penetration-artificial-neural-network-ann-modeling.asp

10.

Formalizing an electronic institution for the distribution of human tissues.

The use of multi-agent systems (MAS) in health-care domains is increasing. Such agent-mediated medical systems can manage complex tasks and have the potential to adapt gracefully to unexpected events. However, in these kinds of systems the issues of ...
J Vázquez-Salceda, J A Padget, U Cortés, A López-Navidad, F Caballero (Artif Intell Med, 200303)
formalizing-electronic-institution-distribution-human-tissues.asp