29th Portuguese Conference on Pattern Recognition
Portuguese Conference on Pattern Recognition
27 October • Coimbra • Portugal
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
| Date: Friday, 27/Oct/2023 | |
| 8:15am - 9:30am |
1: Check-in and Onsite Registration Location: Auditorium |
| 9:30am - 10:00am |
2: Opening Session Location: Auditorium |
| 10:00am - 11:00am |
3: Lecture by Anna Bianchi Location: Auditorium Title: From models to knowledge: extracting information from physiological data |
| 11:00am - 11:30am |
4: Cofee-Break Location: Polivatente |
| 11:30am - 12:30pm |
5: First Poster Session Location: Polivatente Session on Miscellaneous Topics
Automated Ventral Cavity Segmentation in Computed Tomography Radiomic Features Variability with Computed Tomography Convolution Kernels Evaluating Privacy on Synthetic Images Obtained using Deep Generative Models Compressed Models Decompress Race Biases on Face Recognition Detecting Concepts and Generating Captions from Medical Images A Pattern Recognition Framework to Investigate the Neural Correlates of Music Diagnosis of Gastric Intestinal Metaplasia in Narrow-Band images with Fractal Bilinear Deep Learning Models DST in Task-Oriented Portuguese Dialogues Low-Code Application for Ground Truth Data Acquisition in Mammogram Retrieval Do Emotional States Influence Pain Perception? Pain Induction Through Hot Stimuli Data storage in synthetic DNA: A brief analysis of two simulators Analysis of malicious network flows using statistical natural laws Evaluation of Regularization Technique for Transformers Dashboard for the Visual Analysis of Reinforcement Learning Environments A Perspective on Generalizing Learning Models for Out-of-Domain Images Hand-drawn draft to code - an AI application to industrial automation Learning based point cloud compression: A stability analysis Electrical grid automated visual asset inspection - an example application to PV modules Electrical grid automated visual asset inspection - an application to power line insulators Classification of Induced Pain Levels using ECG signals A method for accurate reconstruction of persistent human viral sequences AI-Driven Approaches for Radiation Dose Prediction in Computed Tomography Scans |
| 12:30pm - 2:30pm |
6: Lunch Location: Canteen |
| 2:30pm - 3:30pm |
7: Lecture by Rui Lopes Location: Auditorium Title: Innovation with Integrity: Harnessing MLOps for Responsible AI |
| 3:30pm - 4:30pm |
8: Second Poster Session Location: Polivatente Session on Computer Vision and Deep Learning
Steganography Applications of StyleGAN: A Short Analytical Investigation from Hiding Message in Face Images Automatic Multi-View Pose Estimation in Focused Cardiac Ultrasound Impact of miscalibration and camera noise in an active stereo-based LiDAR in 3D object detection Dealing with Overfitting in the Context of Liveness Detection using FeatherNets with RGB images Fingerprint Recognition and Matching The Impact of Large Receptive Fields on Grad-CAM A study on the role of feature selection for malware detection on Android applications Computed Tomography Slice Reconstruction using Deep Learning Fine-Grained Fish Species Image Classification Multimodal Deep Learning for Synchronous Heart Sounds and Electrocardiogram Classification A Data-Centric Approach for Detecting a Neutral Facial Expression using Deep Learning An Analysis of Data-Centric Artificial Intelligence in Computer Vision Applications AUTOMATIC DETECTION OF ABANDONED VINEYARDS USING AERIAL IMAGERY Enhancing Lifelog Retrieval through Automatic Image Annotation and Computer Vision Techniques A Deep Learning Ensemble for Object Detection and Classification in Retail Stores Detection of Traffic Signals and Segmentation of Brain Tumors in Magnetic Resonance Images - Computer Vision Applications Optimisation of Deep Neural Networks using a Genetic Algorithm: A Comparative Study 3D object tracking for self-driving vehicles using synthetically-generated data 3D pose estimation in a multi-camera scene: Main approaches and What is the Future? Protecting Biometric Data Privacy in Facial Recognition and Authentication: The Polyprotect Algorithm Solution Deep vision quality control - an example application in the casting industry Neural architecture search for deepfake detection Low-Resolution Retinal Images: Detection and Mosaicing using Deep Learning Methods |
| 4:30pm - 4:45pm |
9: Cofee-Break Location: Polivatente |
| 4:45pm - 5:45pm |
10: Third Poster Session Location: Polivatente Session on Medical Imaging and Healthcare
Interpretability of Deep Neural Networks to diagnose Inflammatory Bowel Disease Training Robust Radiomics-based Machine Learning Classifiers for Prediction of Prostate Cancer Disease Aggressiveness Unsupervised fine-tuning of Markov-based Neural Networks for Heart Sound Segmentation Gastric cancer detection based on Colorectal Cancer transfer learning An Interpretable Analysis of Inflammation Biomarkers to Improve Cardiovascular Risk Evaluation MRI Multi-Tumor Segmentation Using 3D Region Growing: Preliminary Results Motion Estimation for Automatic Measurement of Left Ventricular Strain in Echocardiography Case-based Image Retrieval in Point-of-care Lung Ultrasonography Ultrasound Versus Elastography in the Study of Sarcopenia Ultrasound versus Elastography in the Study of Thyroid Nodules Using Texture Features for the Segmentation of Skeletal Muscles of the Thigh in Dixon MRI Automatic EAT Segmentation in Computed Tomography Images Segmentation of 3D vascular networks: a review To reject or not to reject, that is the question: A new perspective on counting fragments in Whole-Slide-Images An interative dashboard for statistical analysis of COVID-19 data for PREMO project Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies Enhancing Glioma Detection through Multimodal Classifiers: Integrating MRI and WSI One Stage vs Two Stage Detectors: Which one is better for lung nodule detection in CT Images ? Cancer Prediction through Microbiome-informed Machine Learning Methods Pathology-tailored Data Augmentation for Colorectal Cancer Grading Single and Multi-modality Approaches for Lung Cancer Classification Analysis of Neurons' Information in Deep Spiking Neural Networks using Information Theory Deep Edge Detection Methods for the Automatic Detection of the Breast Contour Detection of organelles in FIB-SEM microscopy images |
| 5:45pm - 6:00pm |
11: Closing Session Location: Auditorium |
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