The goal of information retrieval (IR) systems is to find the contents most closely related to
the user's information needs from a pool of information. However, conventional IR methods …

In this study, the optimized decision-making system (OD-MS) algorithm in machine learning
for optimizing the enzymatic hydrolysis saccharification, fermentation conditions, and its …

Rank aggregation is a vital tool in facilitating decision-making processes that consider
multiple criteria or attributes. While in many applications, the available ranked lists are often …

Rank aggregation is an obligatory operation for many tasks of democratic elections, product
recommendation, and gene identification. While the awareness of imperfect information in …

Recommendation systems are a powerful tool that is an integral part of a great many
websites. Most often, recommendations are presented in the form of a list that is generated …

The flourishing of social media platforms requires techniques for understanding the content
of media on a large scale. However, state-of-the art video event understanding approaches …

Non-technical loss (NTL) detection is a persistent challenge for Distribution System
Operators. Data-driven solutions have been widely used nowadays to analyze customers' …

Hashing methods have gained widespread attention in cross-modal retrieval applications
due to their efficiency and effectiveness. Many works have been done but they fail to capture …

Nowadays, web users frequently explore multimedia contents to satisfy their information
needs. The exploration approaches usually provide linear interaction mechanisms and do …

Person re-identification (re-ID) aims to retrieve the same person from a group of networking
cameras. Ranking aggregation (RA), a method to aggregates multiple ranking results, can …