All Stories

  1. Deep learning analysis of figure copying tasks for Parkinson’s disease detection with GAN-based data augmentation
  2. Comparing Human Gaze and Vision–Language Model Saliency Predictions in Safety-Relevant Scenes
  3. Machine learning applications in Huntington's disease prognosis: A review
  4. Dynamic Graph Representation Learning for Data-Driven Huntington’s Disease Staging: Evaluation Against Existing Embedding Methods and State-Space Models
  5. Good practices of artificial intelligence in biosystems engineering research
  6. Exploring Machine Learning Models to Uncover Pathways in ALS Pathogenesis Using Immunohistochemical Features
  7. Unsupervised Machine Learning Using Cerebrospinal Fluid Proteomics for Understanding Parkinson’s Disease Progression
  8. Exploring the Boundaries of Resource-Constrained AIoT: Tiny Machine Learning for Condition Monitoring using 8-bit and 32-bit Microcontrollers
  9. Deep Learning Analysis of Figure Copying Tasks for Parkinson’s Disease Detection with GAN-Based Data Augmentation
  10. Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models
  11. Improving ALS Detection and Cognitive Impairment Stratification with Attention-Enhanced Deep Learning Models
  12. Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
  13. Miniaturised and Flexible Patch for Continuous Tremor Monitoring U sing Machine Learning
  14. Impact of Loss Functions on Label-free Virtual H&E Staining
  15. Audio-Aided Learning Framework for Image Classification with Limited Training Images
  16. Statistical analysis for the development of a Deep Learning model for the classification of images with TDP-43 pathology
  17. Applications of machine learning in time-domain fluorescence lifetime imaging: a review
  18. Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
  19. Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology images
  20. A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy
  21. Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data
  22. Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy
  23. Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
  24. Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
  25. Fluorescence lifetime imaging endomicroscopy based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks
  26. The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms
  27. Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
  28. Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning
  29. SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid
  30. Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke
  31. Online/offline evolutionary algorithms for dynamic urban green space allocation problems
  32. Exploring diagnostic models of Parkinson's disease with multi-objective regression
  33. Evolutionary algorithms under noise and uncertainty: A location-allocation case study
  34. Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation
  35. A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients
  36. Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease
  37. Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios
  38. Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments
  39. Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations
  40. A fast approximative approach for the Vehicle Routing Problem