Skip to main content

Cognitive Computation OnlineFirst articles

24.09.2024 | Correspondence

Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network

Brain age serves as a vital biomarker for detecting neurological ailments like Alzheimer’s disease (AD) and Parkinson’s disease (PD). Magnetic resonance imaging (MRI) has been extensively explored with deep neural networks to estimate brain age.

verfasst von:
Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer

Open Access 16.09.2024 | Research

A Joint Network for Low-Light Image Enhancement Based on Retinex

Methods based on the physical Retinex model are effective in enhancing low-light images, adeptly handling the challenges posed by low signal-to-noise ratios and high noise in images captured under weak lighting conditions. However, traditional …

verfasst von:
Yonglong Jiang, Jiahe Zhu, Liangliang Li, Hongbing Ma

10.09.2024 | Research

Incorporating Template-Based Contrastive Learning into Cognitively Inspired, Low-Resource Relation Extraction

From an unstructured text, relation extraction (RE) predicts semantic relationships between pairs of entities. The process of labeling tokens and phrases can be very expensive and require a great deal of time and effort. The low-resource relation …

verfasst von:
Yandan Zheng, Luu Anh Tuan

06.09.2024

Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware

Malicious apps use a variety of methods to spread infections, take over computers and/or IoT devices, and steal sensitive data. Several detection techniques have been proposed to counter these attacks. Despite the promising results of recent …

verfasst von:
Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said

06.09.2024 | Research

A Novel Cognitive Rough Approach for Severity Analysis of Autistic Children Using Spherical Fuzzy Bipolar Soft Sets

Autism spectrum disorders (ASDs) pose complex challenges, characterized by atypical behaviors, sensory sensitivities, and difficulties in social interaction. Despite extensive research, their exact causes remain elusive, indicating a …

verfasst von:
Ghous Ali, Nimra Lateef, Muhammad Usman Zia, Tehseen Abbas

05.09.2024 | Research

Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data

Does the model demonstrate exceptional proficiency in “item counting,” “color recognition,” or other Fundamental Visual Comprehension Capability (FVCC)? There have been remarkable advancements in the field of multimodal, the pretrained general …

verfasst von:
Peijin Xie, Bingquan Liu

04.09.2024 | Review

A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience

Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt or input. The output content can be in various forms, including text, images, and video. Metaverse refers to a virtual world …

verfasst von:
Vinay Chamola, Siva Sai, Animesh Bhargava, Ashis Sahu, Wenchao Jiang, Zehui Xiong, Dusit Niyato, Amir Hussain

03.09.2024 | Research

Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection

In the text mining area, prevalent deep learning models primarily focus on mapping input features to result of predicted outputs, which exhibit a deficiency in self-dialectical thinking process. Inspired by self-reflective mechanisms in human …

verfasst von:
Xinzhi Wang, Mengyue Li, Hang Yu, Chenyang Wang, Vijayan Sugumaran, Hui Zhang

31.08.2024 | Research

PDD: Pruning Neural Networks During Knowledge Distillation

Although deep neural networks have developed at a high level, the large computational requirement limits the deployment in end devices. To this end, a variety of model compression and acceleration techniques have been developed. Among these …

verfasst von:
Xi Dan, Wenjie Yang, Fuyan Zhang, Yihang Zhou, Zhuojun Yu, Zhen Qiu, Boyuan Zhao, Zeyu Dong, Libo Huang, Chuanguang Yang

30.08.2024 | Research

PrimeNet: A Framework for Commonsense Knowledge Representation and Reasoning Based on Conceptual Primitives

Commonsense knowledge acquisition and representation is a core topic in artificial intelligence (AI), which is crucial for building more sophisticated and human-like AI systems. However, existing commonsense knowledge bases organize facts in an …

verfasst von:
Qian Liu, Sooji Han, Erik Cambria, Yang Li, Kenneth Kwok

30.08.2024

A Novel Multimodal Generative Learning Model based on Basic Fuzzy Concepts

Multimodal models are designed to process different types of data within a single generative framework. The prevalent strategy in previous methods involves learning joint representations that are shared across different modalities. These joint …

verfasst von:
Huankun Sheng, Hongwei Mo, Tengteng Zhang

Open Access 28.08.2024 | Research

Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease

Artificial intelligence (AI) systems are increasingly used in healthcare applications, although some challenges have not been completely overcome to make them fully trustworthy and compliant with modern regulations and societal needs. First of …

verfasst von:
Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini

27.08.2024 | Research

Image Retrieval Using Multilayer Feature Aggregation Histogram

Aggregating the diverse features into a compact representation is a hot issue in image retrieval. However, aggregating the differential feature of multilayer into a discriminative representation remains challenging. Inspired by the value-guided …

verfasst von:
Fen Lu, Guang-Hai Liu, Xiao-Zhi Gao

27.08.2024

Enhanced Dynamic Key-Value Memory Networks for Personalized Student Modeling and Learning Ability Classification

Knowledge tracing (KT) is a technique that can be applied to predict students’ current skill mastery levels and future academic performance based on previous question-answering data. A good KT model can more accurately reflect a student’s …

verfasst von:
Huanhuan Zhang, Lei Wang, Yuxian Qu, Wei Li, Qiaoyong Jiang

Open Access 24.08.2024 | Research

Barrier Function to Skin Elasticity in Talking Head

In this paper, we target the problem of generating facial expressions from a piece of audio. This is challenging since both audio and video have inherent characteristics that are distinct from the other. Some words may have identical lip …

verfasst von:
Iti Chaturvedi, Vlad Pandelea, Erik Cambria, Roy Welsch, Bithin Datta

22.08.2024

Scrutinizing Label: Contrastive Learning on Label Semantics and Enriched Representation for Relation Extraction

Sentence-level relation extraction is a technique for extracting factual information about relationships between entities from a sentence. However, the customary method overlooks the semantic information conveyed by the label itself, thereby …

verfasst von:
Zhenyu Zhou, Qinghua Zhang, Fan Zhao

Open Access 22.08.2024

Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers

Intelligent voice assistants, such as Apple Siri and Amazon Alexa, are widely used nowadays. These task-oriented dialogue systems require a semantic parsing module in order to process user utterances and understand the action to be performed. This …

verfasst von:
Daniel Fernández-González

21.08.2024 | Correspondence

Decision-Analytics-Based Risk Allocation in the Micromobility Sector: Sugeno-Weber Operators and Picture Fuzzy Distance Methodology

“Micromobility” is a term that indicates tiny, lightweight vehicles with speeds lower than 30 km/h and driven personally by road users [ 37 ]. It has the potential to contribute toward the accomplishment of the sustainable development goals. Due to …

verfasst von:
Adel Fahad Alrasheedi, Arunodaya Raj Mishra, Ahmad M. Alshamrani, Pratibha Rani, Dragan Pamucar

21.08.2024 | Research

Diagnostic Potential of Eye Movements in Alzheimer’s Disease via a Multiclass Machine Learning Model

Early diagnosis plays a crucial role in controlling Alzheimer’s disease (AD) progression and delaying cognitive decline. Traditional diagnostic tools present great challenges to clinical practice due to their invasiveness, high cost, and …

verfasst von:
Jiaqi Song, Haodong Huang, Jiarui Liu, Jiani Wu, Yingxi Chen, Lisong Wang, Fuxin Zhong, Xiaoqin Wang, Zihan Lin, Mengyu Yan, Wenbo Zhang, Xintong Liu, Xinyi Tang, Yang Lü, Weihua Yu

20.08.2024 | Research

From Pixels to Prepositions: Linking Visual Perception with Spatial Prepositions Far and Near

Human language is influenced by sensory-motor experiences. Sensory experiences gathered in a spatiotemporal world are used as raw material to create more abstract concepts. In language, one way to encode spatial relationships is through spatial …

verfasst von:
Krishna Raj S R, Srinivasa Chakravarthy V, Anindita Sahoo