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Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference
Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference
Machine Learning and Causal Inference for the estimation of the effect of tacrolimus  on kidney rejections
Machine Learning and Causal Inference for the estimation of the effect of tacrolimus on kidney rejections
Machine Learning Driven PV-Climate Classification
Machine Learning Driven PV-Climate Classification
Leveraging Related Datasets to Improve Model Performance on an Underrepresented Target Population
Leveraging Related Datasets to Improve Model Performance on an Underrepresented Target Population
Predictive Analysis of Anti-NMDA-Receptor Encephalitis
Predictive Analysis of Anti-NMDA-Receptor Encephalitis: using a Random Forest Classifier on EEG Data
Performance of outlier detection on smartwatch data in single and multiple person environments
Performance of outlier detection on smartwatch data in single and multiple person environments: An analysis of the performance of different outlier detection methods on consumer-grade wearable data in environments with single and multiple subjects
Efficient Temporal Action Localization via Vision-Language Modelling
Efficient Temporal Action Localization via Vision-Language Modelling: An Empirical Study on the STALE Model's Efficiency and Generalizability in Resource-constrained Environments
Decoding EEG signals
Decoding EEG signals
Annotation practices in affective computing
Annotation practices in affective computing: What are these algorithms actually trained on?
Estimating intentions to speak in social settings
Estimating intentions to speak in social settings: Speaker intention estimation using accelerometer data and non-verbal vocal behaviour
Effectiveness of propensity score methods with density estimation in identifying overlap for causal inference
Effectiveness of propensity score methods with density estimation in identifying overlap for causal inference
Generalizability of Deep Domain Adaptation in case of Sample Selection Bias
Generalizability of Deep Domain Adaptation in case of Sample Selection Bias
Non-Monotonicity in Empirical Learning Curves
Non-Monotonicity in Empirical Learning Curves: Identifying non-monotonicity through slope approximations on discrete points
Estimating Intention To Speak Using Non-Verbal Vocal Behavior
Estimating Intention To Speak Using Non-Verbal Vocal Behavior
Investigating Data Collection and Reporting Practices of Human Annotations in Societally Impactful Machine Learning Applications
Investigating Data Collection and Reporting Practices of Human Annotations in Societally Impactful Machine Learning Applications: A Systematic Review of Top-Cited IEEE Access Papers
Federated learning: A comparison of methods
Federated learning: A comparison of methods: How do different ML models compare to each other
Annotation Practices in Societally Impactful Machine Learning Applications
Annotation Practices in Societally Impactful Machine Learning Applications: What are the recommender systems models actually trained on?
Finding Biomarkers for Schizophrenia
Finding Biomarkers for Schizophrenia: Can Machine Learning algorithms identify schizophrenia-related biomarkers within metagenomic data derived from the human gut microbiome?
Does text matter?
Does text matter?: Extending CLIP with OCR and NLP for image classification and retrieval
A Methodology for Damage Detection Using Unsupervised Learning in the Field of Structural Health Monitoring
A Methodology for Damage Detection Using Unsupervised Learning in the Field of Structural Health Monitoring: Based on Gaussian Mixture Modeling
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