Search Results - "Knowledge-based systems"

AutoML: A survey of the state-of-the-art by He, Xin, Zhao, Kaiyong, Chu, Xiaowen

“…Deep learning (DL) techniques have obtained remarkable achievements on various tasks, such as image recognition, object detection, and language modeling…”
Get full text

Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems by Dehghani, Mohammad, Montazeri, Zeinab, Trojovská, Eva, Trojovský, Pavel

“…In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is introduced, which mimics coati behavior in nature. The…”
Get full text

Equilibrium optimizer: A novel optimization algorithm by Faramarzi, Afshin, Heidarinejad, Mohammad, Stephens, Brent, Mirjalili, Seyedali

“…This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO), inspired by control volume mass balance models used to estimate both…”
Get full text

Snake Optimizer: A novel meta-heuristic optimization algorithm by Hashim, Fatma A., Hussien, Abdelazim G.

“…In recent years, several metaheuristic algorithms have been introduced in engineering and scientific fields to address real-life optimization problems. In this…”
Get full text

Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities by Saeed, Waddah, Omlin, Christian

“…The past decade has seen significant progress in artificial intelligence (AI), which has resulted in algorithms being adopted for resolving a variety of…”
Get full text

A survey on federated learning by Zhang, Chen, Xie, Yu, Bai, Hang, Yu, Bin, Li, Weihong, Gao, Yuan

“…Federated learning is a set-up in which multiple clients collaborate to solve machine learning problems, which is under the coordination of a central…”
Get full text

A comprehensive survey on sentiment analysis: Approaches, challenges and trends by Birjali, Marouane, Kasri, Mohammed, Beni-Hssane, Abderrahim

“…Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and analyzing people’s opinions, sentiments, attitudes, perceptions, etc.,…”
Get full text

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm by Zhong, Changting, Li, Gang, Meng, Zeng

“…In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of beluga whales, called beluga whale optimization (BWO), is presented…”
Get full text

White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems by Braik, Malik, Hammouri, Abdelaziz, Atwan, Jaffar, Al-Betar, Mohammed Azmi, Awadallah, Mohammed A.

“…This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer (WSO) to solve optimization problems over a continuous search space. The…”
Get full text

Graph embedding techniques, applications, and performance: A survey by Goyal, Palash, Ferrara, Emilio

“…Graphs, such as social networks, word co-occurrence networks, and communication networks, occur naturally in various real-world applications. Analyzing them…”
Get full text

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks by Liang, Bin, Su, Hang, Gui, Lin, Cambria, Erik, Xu, Ruifeng

“…Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to detection the sentiment polarity towards a given aspect. Recently,…”
Get full text

Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems by Dhiman, Gaurav, Kumar, Vijay

“…This paper presents a novel bio-inspired algorithm called Seagull Optimization Algorithm (SOA) for solving computationally expensive problems. The main…”
Get full text

Explainability in deep reinforcement learning by Heuillet, Alexandre, Couthouis, Fabien, Díaz-Rodríguez, Natalia

“…A large set of the explainable Artificial Intelligence (XAI) literature is emerging on feature relevance techniques to explain a deep neural network (DNN)…”
Get full text

Political Optimizer: A novel socio-inspired meta-heuristic for global optimization by Askari, Qamar, Younas, Irfan, Saeed, Mehreen

“…This paper proposes a novel global optimization algorithm called Political Optimizer (PO), inspired by the multi-phased process of politics. PO is the…”
Get full text

Image classification with deep learning in the presence of noisy labels: A survey by Algan, Görkem, Ulusoy, Ilkay

“…Image classification systems recently made a giant leap with the advancement of deep neural networks. However, these systems require an excessive amount of…”
Get full text

Improved Binary Grey Wolf Optimizer and Its application for feature selection by Hu, Pei, Pan, Jeng-Shyang, Chu, Shu-Chuan

“…Grey Wolf Optimizer (GWO) is a new swarm intelligence algorithm mimicking the behaviours of grey wolves. Its abilities include fast convergence, simplicity and…”
Get full text

Atom search optimization and its application to solve a hydrogeologic parameter estimation problem by Zhao, Weiguo, Wang, Liying, Zhang, Zhenxing

“…In recent years, various metaheuristic optimization methods have been proposed in scientific and engineering fields. In this study, a novel physics-inspired…”
Get full text

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues by Aldweesh, Arwa, Derhab, Abdelouahid, Emam, Ahmed Z.

“…The massive growth of data that are transmitted through a variety of devices and communication protocols have raised serious security concerns, which have…”
Get full text

Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy by Zhao, Dong, Liu, Lei, Yu, Fanhua, Heidari, Ali Asghar, Wang, Mingjing, Liang, Guoxi, Muhammad, Khan, Chen, Huiling

“…Although the continuous version of ant colony optimizer (ACOR) has been successfully applied to various problems, there is room to boost its stability and…”
Get full text

SCA: A Sine Cosine Algorithm for solving optimization problems by Mirjalili, Seyedali

“…This paper proposes a novel population-based optimization algorithm called Sine Cosine Algorithm (SCA) for solving optimization problems. The SCA creates…”
Get full text