Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

By Sayed Chhattan Shah, Myong-Soon Park, Wan-Sik Choi, Sajjad Hussain, Ali Kashif Bashir. International Conference on Intelligent Robotics and Applications, 2013

797 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/053e5c1f175cf385fb8ab551e68446e24b3475a5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

Citations in the corpus

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection (2018, methodology): “Next, we measured the attribute distribution on the Object Attributes dataset [27], which provides 25 attributes annotations for about 25 images per class for these 90 classes.”
A review of modularization techniques in artificial neural networks (2019, neutral): “Examples of this approach include the application of different filters to the original images and processing each with different modules like in Ciregan et al. (2012), and the autocropping of image parts to augment the data and thus improve generalization (Zhang et al., 2014).”
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence (2020, methodology): “The progressive neural architecture search (PNAS) investigated the use of the Bayesian optimization strategy SMBO to make the search for CNN architectures more efficient by exploring simpler cells before determining whether to search more complex cells [71].”
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020, methodology): “…Maps Simonyan et al. 2013 [73] 2013 LO BP PH MA IMG Bayesian Case Model (BCM) Kim et al. 2014 [72] 2014 GL OT IN MS Any DeConvolutional Nets Zeiler and Fergus 2014 [71] 2013 LO BP PH MA IMG GAM Caruana et al. 2015 [70] 2015 GL OT IN MS TAB LRP Bach et al. 2015 [69] 2015 Both BP PH MA IMG…”
40 years of cognitive architectures: core cognitive abilities and practical applications (2018, background): “These include investigations of gaze patterns of novice and expert players (Lane et al. 2009), effects of ageing on chess playing related to the reduced capacity of working memory and decreased perceptual abilities (Smith et al.”
The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment (2019, background): “These systems often offer next step, edit-based hints, which suggest an edit that a student should make to bring their code closer to a correct solution [10, 28].”