GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining

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Deep multi-task learning: a review of concepts, methods, and cross-domain applications

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Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution

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F2Fnet: alleviating spectral confusion in time series forecasting via dual Fourier modeling

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Sentiment analysis of Amazon product reviews using an inception-based recurrent residual CNN approach

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Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network

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Democratizing marine restoration best practices in a digital toolbox

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A machine learning-based framework for predicting supply delay risk using big data technology

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Graph minds and social binds: a hybrid approach to overlapping community detection

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A continuous, bounded and uniformly converging -normalization approach for improved classification accuracy and feature entropy

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Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification

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EPINN: Enhanced Physics-Informed Neural Network for Solving Continuous Integral Equations

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Monitoring Teams of AI Agents

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Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies

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Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities

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Detecting Generative Model Inversion Attacks for Protecting Intellectual Property of Deep Neural Networks

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Finding Minimal Plan Reductions Using Classical Planning

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Regret Analysis for Randomized Gaussian Process Upper Confidence Bound

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Towards an Ontology-Driven Approach to Document Bias

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Prioritised Planning: Completeness, Optimality, and Complexity

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