Digital data storage systems such as hard drives can suffer breakdowns that cause the loss of stored data. Due to the cost of data and the damage that its loss entails, hard drive failure prediction is vital. In this context, the objective of this pape…
Hey all, Well, it looks like I’m the President of the IEEE Computational Intelligence Society for 2022-2023. Talk about your “hard act to follow!” I have great admiration and affection for Bernadette Bouchon-Meunier who led …
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Explainability is one of the most discussed AI topics in recent years, and with good reason. The complexity of systems powered by AI has increased to the level that humans are unable to understand how AI systems make decisions, which will prove an obst…
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Presents the table of contents for this issue of the publication.
Can satisfactory explanations for complex machine learning models be achieved in high-risk automated decision-making? How can such explanations be integrated into a data protection framework safeguarding a right to explanation? This article explores fr…
Presents the recipients of CIS society 2022 award winners.
The performance of a newly designed evolutionary algorithm is usually evaluated by computational experiments in comparison with existing algorithms. However, comparison results depend on experimental setting; thus, fair comparison is difficult. Fair co…
Since recommender systems play an important role in our online experience today and are involved in a wide range of decisions, multiple stakeholders are requesting explanations for the corresponding algorithmic predictions. These demands—togethe…