14 citations · 38 across the 7 of their papers we have counts for
9 papers
Surrogate Assisted Optimisation for Travelling Thief Problems
Majid Namazi, Conrad Sanderson, M. A. Hakim Newton +1
The travelling thief problem (TTP) is a multi-component optimisation problem involving two interdependent NP-hard components: the travelling salesman problem (TSP) and the knapsack…
A Cooperative Coordination Solver for Travelling Thief Problems
Majid Namazi, Conrad Sanderson, M. A. Hakim Newton +1
The travelling thief problem (TTP) is a representative of multi-component optimisation problems with interacting components. TTP combines the knapsack problem (KP) and the travelli…
Toxicity Prediction by Multimodal Deep Learning
Abdul Karim, Jaspreet Singh, Avinash Mishra +3
Prediction of toxicity levels of chemical compounds is an important issue in Quantitative Structure-Activity Relationship (QSAR) modeling. Although toxicity prediction has achieved…
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…
Modal Logic With Non-deterministic Semantics: Part I - Propositional Case
Marcelo E. Coniglio, Luis Fariñas del Cerro, Newton M. Peron
In 1988, Ivlev proposed four-valued non-deterministic semantics for modal logics in which the alethic T axiom holds good. Unfortunately, no completeness was proved. In previous wor…
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…
Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction
Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque +1
Protein structure prediction (PSP) is computationally a very challenging problem. The challenge largely comes from the fact that the energy function that needs to be minimised in o…
A Hybrid Local Search for Simplified Protein Structure Prediction
Swakkhar Shatabda, M. A. Hakim Newton, Duc Nghia Pham +1
Protein structure prediction based on Hydrophobic-Polar energy model essentially becomes searching for a conformation having a compact hydrophobic core at the center. The hydrophob…