Artificial Intelligence Illuminated
By Ben Coppin. 2004
304 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/15a2762a6a1f1b69d8a8c08d690fbea182590e4c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ruber Hernández-García
- C. Grafton-Clarke
- José Antonio Naranjo-Torres
- Zhijian Lin
- Hussein Uraiby
- Marco Mora
- Lijia Chen
- Miroslav Kubat
Citations in the corpus
- A Review of Convolutional Neural Network Applied to Fruit Image Processing (2020, methodology): “• Hyperbolic Tangent (tanh) function: the tanh function has similar form to Sigmoid function [9,10], as it is depicted in Figure 5c, but the range is [−1, 1].”
- An Introduction to Machine Learning (2017, background): “The interested reader is referred to textbooks of Artificial Intelligence, of which perhaps the most comprehensive is Russell and Norvig [84] or Coppin [17].”
- A scoping review of artificial intelligence in medical education: BEME Guide No. 84 (2024, background): “’ Intelligence is most often defined as ‘ human-like ’ in its ability to make decisions, learn from mistakes, generate insights, or understand language (Coppin 2004).”
- Artificial Intelligence in Education: A Review (2020, background): “tenet of AI, as the name intimates, is having some level of intelligence, a characteristic that has only been the preserve of human beings until the onset of AI [4], [5], [7], [11], [16], [24], [35].”