Editorial Board
Fine-grained citation count prediction via a transformer-based model with among-attention mechanism
Group event recommendation based on graph multi-head attention network combining explicit and implicit information
Intervention of population health management innovation on economy based on cognitive computing
Cost sensitive ν-support vector machine with LINEX loss
Enhancing representation in the context of multiple-channel spam filtering
BERT-SMAP: Paying attention to Essential Terms in passage ranking beyond BERT
A comparative study of automated legal text classification using random forests and deep learning
News-based business sentiment and its properties as an economic index
SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning
LVTIA: A new method for keyphrase extraction from scientific video lectures
Socioeconomic impact due to COVID-19: An empirical assessment
Semantic understanding based on multi-feature kernel sparse representation and decision rules for mangrove growth
The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies
Video coding optimization in AVS2
Multi-source information fusion to identify water supply pipe leakage based on SVM and VMD
Content-oriented or persona-oriented? A text analytics of endorsement strategies on public willingness to participate in citizen science
Investigating Facebook’s interventions against accounts that repeatedly share misinformation
A scene segmentation algorithm combining the body and the edge of the object
An influence maximization method based on crowd emotion under an emotion-based attribute social network
Application of Informetrics on Financial Network Text Mining Based on Affective Computing
End-to-end event factuality prediction using directional labeled graph recurrent network
Work from home during the COVID-19 pandemic: An observational study based on a large geo-tagged COVID-19 Twitter dataset (UsaGeoCov19)
Unifying telescope and microscope: A multi-lens framework with open data for modeling emerging events
A novel emerging topic detection method: A knowledge ecology perspective
A deep recommendation model of cross-grained sentiments of user reviews and ratings
Modeling and simulation of microblog-based public health emergency-associated public opinion communication
How humans obtain information from AI: Categorizing user messages in human-AI collaborative conversations
Assessing the effectiveness of a three-way decision-making framework with multiple features in simulating human judgement of opinion classification
FL-MGVN: Federated learning for anomaly detection using mixed gaussian variational self-encoding network
An Entity Recognition Model Based on Deep Learning Fusion of Text Feature
The relationship investigating between decision support and departmental agility with the mediating role of departmental learning in bank branches
Financial literacy and psychological disaster preparedness: applicability of approach based on fuzzy functional dependencies
The effect of business intelligence, organizational learning and innovation on the financial performance of innovative companies located in Science Park
Enhancing sparrow search algorithm via multi-strategies for continuous optimization problems
Towards transdisciplinary impact of scientific publications: A longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph
Click-through rate prediction in online advertising: A literature review
Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection
Predictive intelligence in evaluation of visual perception thresholds for visual pattern recognition and understanding
A methodology for identifying breakthrough topics using structural entropy
Learning assessments in search-as-learning: A survey of prior work and opportunities for future research
Pulse-line intersection method with unboxed artificial intelligence for hesitant pulse wave classification
Multi-attribute adaptive aggregation transformer for vehicle re-identification
Hybrid collaborative filtering model for consumer dynamic service recommendation based on mobile cloud information system
Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status
Estimating financial information asymmetry in real estate transactions in China - An application of two-tier frontier model
Combining Non-sampling and Self-attention for Sequential Recommendation
Fast-DRD: Fast decentralized reinforcement distillation for deadline-aware edge computing
A multi-agent knowledge integration process for enterprise management innovation from the perspective of neural network
An adaptive high-voltage direct current detection algorithm using cognitive wavelet transform
What IoT devices and applications should be connected? Predicting user behaviors of IoT services with node2vec embedding
TASR: Adversarial learning of topic-agnostic stylometric representations for informed crisis response through social media
Predictive intelligence in harmful news identification by BERT-based ensemble learning model with text sentiment analysis
Exploiting context-awareness and multi-criteria decision making to improve items recommendation using a tripartite graph-based model
Leveraging social influence based on users activity centers for point-of-interest recommendation
Foreword to the special issue on dis/misinformation mining from social media
Active tag recommendation for interactive entity search: Interaction effectiveness and retrieval performance
Video retrieval framework based on color co-occurrence feature of adaptive low rank extracted keyframes and graph pattern matching
An improved algorithm for practical byzantine fault tolerance to large-scale consortium chain
Estimation of missing values in astronomical survey data: An improved local approach using cluster directed neighbor selection
Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review
A privacy preserving homomorphic computing toolkit for predictive computation
