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Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions.
Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns.
CID: Cow Images Dataset for Regression and Classification.
EXtrA-ShaRC: Explainable and Scrutable Reading Comprehension for Conversational Systems.
Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise.
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System.
Li Z, Li R, Kiser KJ, Giancardo L, Zheng WJ. Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks.
Rapid Tagging and Reporting for Functional Language Extraction in Scientific Articles.
VerHealth: Vetting Medical Voice Applications through Policy Enforcement.
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging.
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens.
Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps.
Predicting and Avoiding Dog Barking Behaviour through Deep Learning.
Applications of Neural Networks for Classifying Images of Deaf Horses.
Combining Autoencoder and Yolov6 Model for Classification and Disease Detection in Chickens.
Identifying lameness in horses through deep learning.
PigSense: Structural Vibration-based Activity and Health Monitoring System for Pigs.
Dog emotion recognition from images in the wild: DEBIw dataset and first results.
Automated Tail Position Tracking with Millimeter Accuracy using Depth Sensing and Mask R-CNN.
Cattle AutoID: Biometric for Cattle Identification.
Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data.
Machine learning for the meta-analyses of microbial pathogens’ volatile signatures.
Rectified Classifier Chains for Prediction of Antibiotic Resistance From Multi-Labelled Data With Missing Labels.
Predicting Guide Dog Temperament Evaluation Outcomes Using Raw ECG Signals.