Robert E. Smith

Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era

Improved metagenomic analysis with Kraken 2

Exploiting and engineering hemoproteins for abiological carbene and nitrene transfer reactions

Predicted residue–residue contacts can help the scoring of 3D models

Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

Structure of a designed tetrahedral protein assembly variant engineered to have improved soluble expression

ProFET: Feature engineering captures high-level protein functions

Overcoming an optimization plateau in the directed evolution of highly efficient nerve agent bioscavengers

Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Learned protein embeddings for machine learning

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

Amino acid alphabet reduction preserves fold information contained in contact interactions in proteins

Learning from imbalanced data: open challenges and future directions

ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem

On artificial immune systems and swarm intelligence

Big data techniques in auditing research and practice: Current trends and future opportunities

The Impact of Artificial Intelligence and Blockchain on the Accounting Profession

Impacts of digitization on auditing: A Delphi study for Germany

Conceptual Frameworks for Artificial Immune Systems

Automated Alphabet Reduction for Protein Datasets

When Can Social Media Lead Financial Markets?