Results 61 to 70 of about 2,886,964 (241)
Generative large language models (LLMs) have revolutionized the development of knowledge-based systems, enabling new possibilities in applications like ChatGPT, Bing, and Gemini.
Róbert Lakatos +3 more
doaj +1 more source
Annotated Pap cell images and smear slices for cell classification
Machine learning-based systems have become instrumental in augmenting global efforts to combat cervical cancer. A burgeoning area of research focuses on leveraging artificial intelligence to enhance the cervical screening process, primarily through the ...
David Kupas +5 more
doaj +1 more source
Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in artificial intelligence, offering the promise of intelligent decision-making in complex and dynamic environments.
Mokhaled N. A. Al-Hamadani +3 more
doaj +1 more source
Visualization of three dimensional data [PDF]
The objective of research is to characterize patterns of errors observers make when relating the judged exocentric direction of a target presented on a perspective display to their egocentric sense of visual direction.
Ellis, Stephen R. +2 more
core +1 more source
Visualization of the Phosphoproteomic Data from AfCS with the Google Motion Chart Gadget [PDF]
Results from multivariate molecular biological experiments become increasingly complex. Hence, the challenge of projecting high-dimensional data onto few dimensions for effective data visualization is becoming increasingly important in Systems Biology ...
Avi Ma', Huilei Xu
core +1 more source
Dynamical projections for the visualization of PDFSense data
A recent paper on visualizing the sensitivity of hadronic experiments to nucleon structure [1] introduces the tool PDFSense which defines measures to allow the user to judge the sensitivity of PDF fits to a given experiment.
Cook, Dianne +2 more
core +1 more source
Use of Remote Surface Based Tools for Visualizing Integrated Brain Imaging Data [PDF]
We describe a surface-based approach to 3D visualization of integrated neuroimaging data. Our web-enabled software allows researchers to use these visualization tools over the Internet.
Brinkley, James F +2 more
core +1 more source
Concept transfer of synaptic diversity from biological to artificial neural networks
Recent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells.
Martin Hofmann +3 more
doaj +1 more source
Visualization of Skewed Data: A Tool in R [PDF]
In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, the ...
Frery, A. C. +2 more
core +2 more sources

