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LLM Cognitive Judgements Differ from Human

Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications, p.17-23

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Causal Discovery via the Subsample Based Reward and Punishment Mechanism

Pattern Recognition and Computer Vision, p.224-238

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Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia

Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, p.53-62

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Surface Electromyography-Based Assessment of Muscle Contribution in Squatting Movements

Intelligent Robotics and Applications, p.742-752

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BLAST: Block Applications for Things

The Semantic Web: ESWC 2022 Satellite Events, p.68-72

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SID2T: A Self-attention Model for Spinal Injury Differential Diagnosis

Intelligent Computing Theories and Application, p.650-662

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Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data

Artificial Intelligence in Education, p.256-268

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Automated Surgical Procedure Assistance Framework Using Deep Learning and Formal Runtime Monitoring

Runtime Verification, p.25-44

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Modeling of Liquid-Liquid Phase Transfer Catalysis: Process Intensification via Integration of Process Systems Engineering and Computational Chemistry

Computer Aided Chemical Engineering, 2020, Vol.48, p.43-48

2020

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Confidence in Prediction: An Approach for Dynamic Weighted Ensemble

Intelligent Information and Database Systems, p.358-370

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Fast Gradient Boosting Decision Trees with Bit-Level Data Structures

Machine Learning and Knowledge Discovery in Databases, p.590-606

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QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing

Computational Science – ICCS 2020, 2020, p.147-160

2020

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Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Computational Intelligence Methods for Bioinformatics and Biostatistics, p.80-87

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Restoring the "unrestored": New challenges in the preservation of historic vehicles

The Routledge Companion to Automobile Heritage, Culture, and Preservation, 2020, Vol.1, p.99-111

1, 2020

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Archaeology and the automobile

The Routledge Companion to Automobile Heritage, Culture, and Preservation, 2020, Vol.1, p.47-56

1, 2020

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Bootstrap Bias Corrected Cross Validation Applied to Super Learning

Computational Science – ICCS 2020, 2020, p.550-563

2020

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Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

Machine Learning and Knowledge Discovery in Databases, p.237-252

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Online Collaborative Filtering with Implicit Feedback

Database Systems for Advanced Applications, p.433-448

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Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles

Neural Information Processing, p.704-716

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Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery

Artificial Intelligence in Medicine, p.376-385

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Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

Advances in Knowledge Discovery and Data Mining, p.40-53

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Sustainable Process Intensification Using Building Blocks

Computer Aided Chemical Engineering, 2019, Vol.47, p.157-162

2019

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Taking Defeasible Entailment Beyond Rational Closure

Logics in Artificial Intelligence, p.182-197

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Ensembles of Nested Dichotomies with Multiple Subset Evaluation

Advances in Knowledge Discovery and Data Mining, p.81-93

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Using Facial Expression Recognition for Crowd Monitoring

Image and Video Technology, p.463-476

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LLM Cognitive Judgements Differ from Human

Causal Discovery via the Subsample Based Reward and Punishment Mechanism

Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia

Surface Electromyography-Based Assessment of Muscle Contribution in Squatting Movements

BLAST: Block Applications for Things

SID2T: A Self-attention Model for Spinal Injury Differential Diagnosis

Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data

Automated Surgical Procedure Assistance Framework Using Deep Learning and Formal Runtime Monitoring

Modeling of Liquid-Liquid Phase Transfer Catalysis: Process Intensification via Integration of Process Systems Engineering and Computational Chemistry

Confidence in Prediction: An Approach for Dynamic Weighted Ensemble

Fast Gradient Boosting Decision Trees with Bit-Level Data Structures

QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing

Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions

Restoring the "unrestored": New challenges in the preservation of historic vehicles

Archaeology and the automobile

Bootstrap Bias Corrected Cross Validation Applied to Super Learning

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

Online Collaborative Filtering with Implicit Feedback

Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles

Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery

Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings

Sustainable Process Intensification Using Building Blocks

Taking Defeasible Entailment Beyond Rational Closure

Ensembles of Nested Dichotomies with Multiple Subset Evaluation

Using Facial Expression Recognition for Crowd Monitoring

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