Scientific Program
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Monday Oct 28th, TUTORIALS |
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8:00-8:45 |
Registration |
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ROOM Taganana |
ROOM HALL 1930 |
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9:00-11:00 |
Tutorial 1: “Case-Based Reasoning for Images and Signals” Petra Perner |
Tutorial 2: “Face Recognition” Massimo Tistarelli |
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11:00 - 11:20 |
Coffee Break |
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11:20-12:30 |
Tutorial 1: “Case-Based Reasoning for Images and Signals” Petra Perner |
Tutorial 2: “Face Recognition” Massimo Tistarelli |
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12:30-14:30 |
Lunch |
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14:30-16:40 |
Tutorial 3: “Learning with memory” Alberto Del Bimbo |
Tutorial 4: “Interactive Segmentation and Visualization of Medical Images – from theory to practice” Ingela Nystrom |
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16:40-17:00 |
Coffee Break |
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17:00-18:00 |
Tutorial 3: “Learning with memory” Alberto Del Bimbo |
Tutorial 4: “Interactive Segmentation and Visualization of Medical Images – from theory to practice” Ingela Nystrom |
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18:00-23:00 |
Welcoming Cocktail
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Tuesday Oct 29st, CONFERENCE |
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8:00-8:45 |
Registration |
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HALL 1930 |
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8:45-9:00 |
Welcome message (Dr. Yanio Hernandez Heredia) |
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9:00-10:00 |
Keynote 1: “Biometrics in Forensic Science” Massimo Tistarelli |
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10:00 - 10:40 |
Plenary Short Oral Presentation 1, HALL 1930 |
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Plenary Short Oral Presentation “Image Analysis and Retrieval” 127 Face recognition on mobile devices based on frames selection 147 Brain tumor segmentation from multispectral MR image data using ensemble learning methods 105 Computer Vision Approaches to Detect Bean Defects 140 Automated identification of breast cancer using digitized mammogram images 134 Sparse-based Feature Selection for Discriminating between Crops and Weeds 088 Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks 082 A Study on Histogram Normalization for Brain Tumor Segmentation from Multispectral MR Image Data 022 Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images Plenary Short Oral Presentation “Supervised and Unsupervised Classification” 104 Analytical Solution for the Optimal Addition of an Item to a Composite of Scores for Maximum Reliability 126 A new method to evaluate Subgroup Discovery algorithms Plenary Short Oral Presentation “Video Analysis” 092 Virtual Hand Training Platform Controlled Through Online Recognition of Motion Intention” 036 Video popularity forecasting to improve cache miss rate in Content Delivery Networks 124 Piggybacking Detection based on Coupled Body-Feet Recognition at Entrance Control Plenary Short Oral Presentation “Signals analysis and processing” 075 Performance of different average methods for the automatic detection of evoked potentials 120 Discrimination of Shoulder Flexion/Extension Motor Imagery by EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton 093 Automatic identification of traditional Colombian music genres based on audio content analysis and machine learning techniques 046 Dual watermarking for handwritten document image authentication and copyright protection for JPEG compression attacks Plenary Short Oral Presentation “Mathematical Theory of Pattern Recognition” 153 Continuous hyper-parameter configuration for Particle Swarm Optimization via auto-tuning 116 Feature Extraction of Long Non-Coding RNAs: A Fourier and Numerical Mapping Approach Plenary Short Oral Presentation “Applications of Pattern Recognition” 060 A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-Label Data: SLE-ML 053 A model based on genetic algorithm for colorectal cancer diagnosis 128 Knowledge extraction from Vector Machine Support in the context of depression in children and adolescents 067 Multi-domain Aspect Extraction based on Deep and Lifelong Learning 042 A Framework for Distributed Data Processing 069 Articulation analysis in the speech of Children with CLP Plenary Short Oral Presentation “Data Mining” 007 Prototypes Generation from Multi-label Datasets based on Granular Computing 070 A simple proposal for sentiment analysis on movie reviews with Hidden Markov Models 012 Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study 033 Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study |
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10:40-11:00 |
Coffee Break |
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11:00-12:00 |
Paper Discussion 1, HALL 1930 |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Image Analysis and Retrieval” |
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12:00-12:20 |
066 Multi-Task Learning for Low-Resolution License Plate Recognition |
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12:20-12:40 |
099 Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification |
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12:40-13:00 |
018 Detecting Steading Conversational Groups on an Still Image: A Single Relational Fuzzy Approach. |
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13:00-15:00 |
Lunch |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Image Analysis and Biometrics” |
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15:00-15:20 |
102 On using document scanners for minutiae-based palmprint recognition |
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15:20-15:40 |
072 Stacking fingerprint matching algorithms for latent fingerprint identification. |
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15:40-16:00 |
106 Analysis of the Impact of Ear Alignment on Unconstrained Ear Recognition |
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16:00-16:20 |
010 I YOLO-FD: YOLO for Face Detection. |
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16:20-16:40 |
108 Deep Generic Features for Tattoo Identification |
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16:40-17:00 |
Coffee Break |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Mathematical Theory of Pattern Recognition” |
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17:00-17:20 |
079 KAdam: using the Kalman Filter to improve Adam algorithm |
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17:20-17:40 |
129 Evaluating restrictions in pattern based classifiers |
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17:40-18:00 |
114 BRIEF-based mid-level representations for time series classification |
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18:00-20:00 |
Cultural Program |
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Wendesday Oct 30nd, CONFERENCE |
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8:00-8:45 |
Registration |
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HALL 1930 |
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9:00-10:00 |
Keynote 2: “Incremental learning of people identities” Alberto Del Bimbo |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Machine Learning and Neural Networks” |
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10:00 - 10:20 |
077 Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks |
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10:20 - 10:40 |
030 Hermite Convolutional Networks |
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10:40-11:00 |
Coffee Break |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Video Analysis” |
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11:00-11:20 |
073 A Novel Scheme For Training Two-Stream CNNs For Action Recognition |
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11:20-11:40 |
061 Parkinsonian Ocular Fixation Patterns from Magnified Videos and CNN Features |
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11:40-12:00 |
058 Does Pooling Really Matter? |
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12:00-12:20 |
085 Gait Recognition using Pose Estimation and Signal Processing |
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12:20-12:40 |
045 Video Iris Recognition Based on Iris Image Quality Evaluation and Semantic Classification... |
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12:40-13:00 |
062 Face Spoofing Detection on Low-Power Devices using Embeddings with Spatial and Frequency-based Descriptors |
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13:00 - 15:00 |
Lunch |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Signals Analysis and Processing”1 |
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15:00-15:20 |
005 A Wavelet Entropy based methodology for classification among Healthy, Mild Cognitive Impairment and Alzheimer´s Disease people |
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15:20-15:40 |
136 Trainable COPE features for sound event detection |
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15:40-16:00 |
107 Sequential learning of MLP neural network for motor tasks recognition based on brain-computer interface |
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16:00-16:20 |
137 Supervised relevance analysis for multiple Stein kernels for spatio-spectral component selection in BCI discrimination tasks |
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16:20-16:40 |
014 Role of EMG rectification for corticomuscular and intermuscular coherence estimation of spinocerebellar ataxia type 2 (SCA2) |
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16:40-17:00 |
Coffee Break |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Applications of Pattern Recognition” |
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17:00-17:20 |
004 Material Fracture Life Prediction Using Linear Regression Techniques Under High Temperature Creep Conditions |
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17:20-17:40 |
111 A spatiotemporal analysis of taxis demand: a case study in the Manizales city |
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17:40-18:00 |
133 A Mixture Model for Grouping Annotations in Learning from Crowds |
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18:00-19:00 |
Steering Committee Meeting HALL 1930 |
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Thursday Oct 31rd, CONFERENCE |
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8:00-8:45 |
Registration |
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HALL 1930 |
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9:00-10:00 |
Keynote 3: “Learning neural network-based speech representations for voice characterization and speaker recognition” Jean-François Bonastre |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Data Mining. Natural Language Processing and Text Mining” |
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10:00-10:20 |
138 Applying self-attention for stance classification |
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10:20-10:40 |
135 Applying OWA operator in the topic modelling for the keyphrase extraction from texts |
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10:40-11:00 |
Coffee Break |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Data Mining. Natural Language Processing and Text Mining” |
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11:00-11:20 |
146 Brazilian presidential elections in the era of misinformation A Machine Learning approach to analyze fake news |
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11:20-11:40 |
041 Improved Document Filtering by Multilevel Term Relations |
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11:40-12:00 |
064 TSTM: A model to predict Topics’ Popularity in News Provider |
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12:00-12:20 |
130 Meta-learning of text classification tasks |
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12:20-12:40 |
052 Portuguese POS Tagging Using BLSTM without Handcrafted Features |
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12:40-13:00 |
078 A Binary Variational Autoencoder for Hashing |
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13:00-15:00 |
Lunch |
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Plenary Oral Session, HALL 1930 |
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Plenary Oral Session “Speech Recognition” |
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15:00-15:20 |
091 Data augmentation for ASR, a survey |
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15:20-15:40 |
051 Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients |
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15:40-16:00 |
139 Bidirectional alignment of glottal pulse length sequences for the evaluation of pitch detection algorithms |
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16:00-16:20 |
016 Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages |
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16:20-16:40 |
048 Multi-channel Convolutional Neural Networks For Automatic Detection of Speech Deficits in Cochlear Implant Users |
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16:40-17:00 |
Coffee Break |
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17:00-18:00 |
Keynote 4: “Case-Based Reasoning for Images and Signals or How to learn incremantally a model for image and signal processing?” Petra Perner |
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18:00-19:00 |
CIARP Final Meeting HALL 1930 |
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19:00-23:00 |
Conference Dinner |