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Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction
(Elsevier, 2022-06)
[Abstract]: A memetic version between an evolutionary algorithm (differential evolution) and the local search provided by protein fragment replacements was defined for protein structure prediction. In this problem, it is ...
Automatic depression score estimation with word embedding models
(Elsevier, 2022)
[Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ...
Evolving Cellular Automata Schemes for Protein Folding Modeling Using the Rosetta Atomic Representation
(Springer, 2022)
[Abstract] Protein folding is the dynamic process by which a protein folds into its final native structure. This is different to the traditional problem of the prediction of the final protein structure, since it requires ...
A Polynomial Reduction of Forks Into Logic Programs
(Elsevier, 2022)
[Abstract] In this research note we present additional results for an earlier published paper [1]. There, we studied the problem of projective strong equivalence (PSE) of logic programs, that is, checking whether two logic ...
Accelerating 3D printing of pharmaceutical products using machine learning
(Elsevier, 2022)
[Abstract] Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy ...
Comparing the Reasoning Capabilities of Equilibrium Theories and Answer Set Programs
(MDPI, 2022)
[Abstract] Answer Set Programming (ASP) is a well established logical approach in artificial intelligence that is widely used for knowledge representation and problem solving. Equilibrium logic extends answer set semantics ...