127 citations · 215 across the 15 of their papers we have counts for
15 papers
Deontic Meta-Rules
Francesco Olivieri, Guido Governatori, Matteo Cristani +2
The use of meta-rules in logic, i.e., rules whose content includes other rules, has recently gained attention in the setting of non-monotonic reasoning: a first logical formalisati…
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees
Abdul Karim, Avinash Mishra, M A Hakim Newton +1
Toxicity prediction of chemical compounds is a grand challenge. Lately, it achieved significant progress in accuracy but using a huge set of features, implementing a complex blackb…
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma, Abdul Sattar, Jun Zhou +2
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probabi…
Machine Learning Interpretability: A Science rather than a tool
Abdul Karim, Avinash Mishra, MA Hakim Newton +1
The term "interpretability" is oftenly used by machine learning researchers each with their own intuitive understanding of it. There is no universal well agreed upon definition of…
Diversified Late Acceptance Search
Majid Namazi, Conrad Sanderson, M. A. Hakim Newton +2
The well-known Late Acceptance Hill Climbing (LAHC) search aims to overcome the main downside of traditional Hill Climbing (HC) search, which is often quickly trapped in a local op…
Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction
Mahmood A. Rashid, Sumaiya Iqbal, Firas Khatib +2
Protein structure prediction is considered as one of the most challenging and computationally intractable combinatorial problem. Thus, the efficient modeling of convoluted search s…