Search
Search Results
-
EqBal-RS: Mitigating popularity bias in recommender systems
Recommender systems are deployed heavily by many online platforms for better user engagement and providing recommendations. Despite being so popular,...
-
Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search
Automated prediction systems based on machine learning (ML) are employed in practical applications with increasing frequency and stakeholders demand...
-
CSADF: ingesting cuckoo search optimization algorithm enabled with fitness function for effective model transformation pertaining to ADF
Model transformation (MT) is one of the prominent research problems in the field of software engineering. Model transformation make the source model...
-
ConvNet combined with minimum weighted random search algorithm for improving the domain shift problem of image recognition model
The improved algorithm for attribute combinatorial optimization based on the Minimum Weighted Random Search (MWRS) and “Equal-Sum” (E-S) judgment...
-
A data-driven approach to neural architecture search initialization
Algorithmic design in neural architecture search (NAS) has received a lot of attention, aiming to improve performance and reduce computational cost....
-
RS-chain: a decentralized reputation-sharing framework for group-buying industry via hybrid blockchain
Group-buying is an intriguing e-commerce model that aims to recruit more participants to generate sufficient orders to establish a low-price...
-
Anti-Bandit for Neural Architecture Search
Neural Architecture Search (NAS) is a highly challenging task that requires consideration of search space, search efficiency, and adversarial...
-
Collab-RS: semantic recommendation of external collaborators for projects in software ecosystems
The software development industry has evolved in recent years, presenting new challenges. In this scenario, software ecosystems have emerged as a new...
-
Optimizing relay node placement and routing in WBANs using free search krill herd and harmony search algorithm
Wireless Body Area Network (WBAN) plays an important role in healthcare applications like in medical, non-medical and psychological sector for remote...
-
Learning-based bypass zone search algorithm for fast motion estimation
Video coding has been widely explored by academia and industry in recent years, mainly due to the great popularization of video applications and...
-
RS-store: RDMA-enabled skiplist-based key-value store for efficient range query
Many key-value stores use RDMA to optimize the messaging and data transmission between application layer and the storage layer, most of which only...
-
LS-PON: A Prediction-Based Local Search for Neural Architecture Search
Neural architecture search (NAS) is a subdomain of AutoML that consists of automating the design of neural networks. NAS has become a hot topic in...
-
Water quality prediction using machine learning models based on grid search method
Water quality is very dominant for humans, animals, plants, industries, and the environment. In the last decades, the quality of water has been...
-
A Semi Brute-Force Search Approach for (Balanced) Clustering
Clustering is one of the most long-standing fundamental problems in the fields of computational geometry and algorithm design. In this paper, we...
-
Hyperparameter optimization of pre-trained convolutional neural networks using adolescent identity search algorithm
Convolutional neural networks (CNNs) are widely used deep learning (DL) models for image classification. The selected hyperparameters for training...
-
An anti-collision algorithm for robotic search-and-rescue tasks in unknown dynamic environments
This paper deals with the search-and-rescue tasks of a mobile robot with multiple interesting targets in an unknown dynamic environment. The problem...
-
Federated search techniques: an overview of the trends and state of the art
Conventional search engines, such as Bing, Baidu, and Google, offer a convenient way for users to seek information on the web. However, with all the...
-
On the preferences of quality indicators for multi-objective search algorithms in search-based software engineering
Multi-Objective Search Algorithms (MOSAs) have been applied to solve diverse Search-Based Software Engineering (SBSE) problems. In most cases, SBSE...
-
An effective keyword search co-occurrence multi-layer graph mining approach
A combination of tools and methods known as "graph mining" is used to evaluate real-world graphs, forecast the potential effects of a given graph’s...
-
Neighbourhood search for energy minimisation in flexible job shops under fuzziness
Uncertainty pervades real life and supposes a challenge for all industrial processes as it makes it difficult to predict the outcome of otherwise...
