Vasile Palade

Professor of Artificial Intelligence and Data Science

Coventry University

United Kingdom

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Vasile Palade is a Professor of Artificial Intelligence and Data Science at Coventry University in the United Kingdom. His research encompasses various areas including incremental learning, explainable AI, and optimization techniques, as evidenced by his recent articles on topics such as predictive maintenance, financial time series forecasting, and cybersecurity vulnerabilities. He is actively contributing to advancements in cognitive computing, business intelligence, and emotion-cause analysis.

Articles (26)

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2022

Collaborators (9)

Sara Sharifzadeh

Senior Lecturer

Swansea University

UNITED KINGDOM

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Michael Duncan

Professor in Sport and Exercise Science at Coventry University

Coventry University

UNITED KINGDOM

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Benny Tjahjono

Professor at Centre for Clean Growth and Future Mobility

Coventry University

UNITED KINGDOM

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bahareh Nakisa

lecturer of Applied Artificial Intelligence

Deakin University

AUSTRALIA

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Mehrdad Saif

Dean and Professor

University of Windsor

CANADA

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Seng Wai Loke

Professor in Computer Science

Deakin University

AUSTRALIA

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Roozbeh Razavi-Far

Associate Professor

University of New Brunswick

CANADA

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Xiaorui Jiang

Coventry University

UNITED KINGDOM

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Alireza Daneshkhah

Coventry University

UNITED KINGDOM

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Vasile Palade

Research Interests

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Articles (26)

Similarity-based prototype reconstruction and feature reorganization for non-exemplar class incremental learning

Human-in-the-Loop XAI for Predictive Maintenance: A Systematic Review of Interactive Systems and Their Effectiveness in Maintenance Decision-Making

Fractional Optimizers for LSTM Networks in Financial Time Series Forecasting

Double-Graph Representation With Relational Enhancement for Emotion-Cause Pair Extraction

Towards the generation of hierarchical attack models from cybersecurity vulnerabilities using language models

Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management

Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems

A Character-Image-Modality and Multi-Label Auxiliary Model for Chinese Sentiment Analysis

Explainable AI in Manufacturing and Industrial Cyber–Physical Systems: A Survey

A question-answering framework for automated abstract screening using large language models

sBERT: Parameter-Efficient Transformer-Based Deep Learning Model for Scientific Literature Classification

Explainable Artificial Intelligence Approach for Diagnosing Faults in an Induction Furnace

Learning the consensus and complementary information for large-scale multi-view clustering

Farmland Segmentation in Landsat 8 Satellite Images Using Deep Learning and Conditional Generative Adversarial Networks

Localization and Mapping for Self-Driving Vehicles: A Survey

Enhanced autoencoder-based LiDAR localization in self-driving vehicles

OPT-RNN-DBSVM: OPTimal Recurrent Neural Network and Density-Based Support Vector Machine

Multi-Objective Optimization for Controlling the Dynamics of the Diabetic Population

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

FP-Conv-CM: Fuzzy Probabilistic Convolution C-Means

XDLL: Explained Deep Learning LiDAR-Based Localization and Mapping Method for Self-Driving Vehicles

A Word-Level Adversarial Attack Method Based on Sememes and an Improved Quantum-Behaved Particle Swarm Optimization

Graphical Consensus-based Sharding for Efficient and Secure Sharings in Blockchain-enabled Internet of Vehicles

Rapid Localization and Mapping Method Based on Adaptive Particle Filters

Switching Trackers for Effective Sensor Fusion in Advanced Driver Assistance Systems

A Hybrid Linear Iterative Clustering and Bayes Classification-Based GrabCut Segmentation Scheme for Dynamic Detection of Cervical Cancer

Collaborators (9)

Sara Sharifzadeh

Michael Duncan

Benny Tjahjono

bahareh Nakisa

Mehrdad Saif

Seng Wai Loke

Roozbeh Razavi-Far

Xiaorui Jiang

Alireza Daneshkhah

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