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ORCIDS+SSPR 2020: Padua, Italy
- Andrea Torsello, Luca Rossi, Marcello Pelillo
, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings. Lecture Notes in Computer Science 12644, Springer 2021, ISBN 978-3-030-73972-0
Classification and Data Processing
- Wouter M. Kouw, Marco Loog:
Target Robust Discriminant Analysis. 3-13 - Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-Valued Embeddings of Generic Proximity Data. 14-23 - Marco Brighi, Annalisa Franco, Dario Maio:
Metric Learning for Multi-label Classification. 24-33 - Antonella Mensi, Alessio Franzoni, David M. J. Tax, Manuele Bicego:
An Alternative Exploitation of Isolation Forests for Outlier Detection. 34-44 - Alexander Welsing, Andreas Nienkötter, Xiaoyi Jiang:
Exponential Weighted Moving Average of Time Series in Arbitrary Spaces with Application to Strings. 45-54 - Peter Bellmann, Ludwig Lausser, Hans A. Kestler, Friedhelm Schwenker:
Experimental Analysis of Bidirectional Pairwise Ordinal Classifier Cascades. 55-64
Deep Learning
- Juan Maroñas, Daniel Ramos, Roberto Paredes:
On Calibration of Mixup Training for Deep Neural Networks. 67-76 - Fatemeh Ansarizadeh, David B. H. Tay, Dhananjay R. Thiruvady, Antonio Robles-Kelly:
Augmenting Graph Convolutional Neural Networks with Highpass Filters. 77-86 - Michal Myller, Michal Kawulok, Jakub Nalepa:
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. 87-97 - Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek:
Feature Extraction Functions for Neural Logic Rule Learning. 98-107 - Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich, Mikhail Romanov, Olga Barinova, Anton Konushin:
Learning High-Resolution Domain-Specific Representations with a GAN Generator. 108-118 - Vincenzo Carletti, Pasquale Foggia, Antonio Greco, Antonio Roberto, Mario Vento:
Predicting Polypharmacy Side Effects Through a Relation-Wise Graph Attention Network. 119-128 - Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
LGL-GNN: Learning Global and Local Information for Graph Neural Networks. 129-138 - Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
Graph Transformer: Learning Better Representations for Graph Neural Networks. 139-149
Graph-Theoretic Methods
- Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock:
Weighted Network Analysis Using the Debye Model. 153-163 - Luca Rossi, Andrea Torsello:
Estimating the Manifold Dimension of a Complex Network Using Weyl's Law. 164-173 - Keith Dillon:
Efficient Partitioning of Partial Correlation Networks. 174-183 - Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. 184-194 - Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. 195-204 - Kaspar Riesen, Hans Friedrich Witschel, Loris Grether:
A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching. 205-215 - Linlin Jia, Benoit Gaüzère, Paul Honeine:
A Graph Pre-image Method Based on Graph Edit Distances. 216-226 - Kieu Diem Ho, Jean-Yves Ramel, Nicolas Monmarché:
Multivalent Graph Matching Problem Solved by Max-Min Ant System. 227-237 - Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine:
A Metric Learning Approach to Graph Edit Costs for Regression. 238-247 - Vincenzo Carletti, Pasquale Foggia, Antonio Greco, Mario Vento:
Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search. 248-258
Multimedia Analysis and Understanding
- Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok:
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. 261-271 - Francesco Pelosin, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Unsupervised Semantic Discovery Through Visual Patterns Detection. 272-281 - Abdul Qayyum, Imran Razzak:
Deep Residual Neural Network for Child's Spontaneous Facial Expressions Recognition. 282-291 - Mubarakah Alotaibi, Richard C. Wilson:
Multi-layer PCA Network for Image Classification. 292-301 - Yajie Li, Yiqiang Chen, Yang Gu, Jianquan Ouyang:
A Multimodal Fusion Model Based on Hybrid Attention Mechanism for Gesture Recognition. 302-312 - Shreyank N. Gowda, Chun Yuan:
StegColNet: Steganalysis Based on an Ensemble Colorspace Approach. 313-323 - Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi, Muhammad Arsalan:
Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature. 324-333 - Sinan Kaplan, Joni Juvonen, Lasse Lensu:
A Practical Hybrid Active Learning Approach for Human Pose Estimation. 334-343 - Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin:
IterDet: Iterative Scheme for Object Detection in Crowded Environments. 344-354 - Konstantinos Peppas, Konstantinos Tsiolis, Ioannis Mariolis, Angeliki Topalidou-Kyniazopoulou, Dimitrios Tzovaras:
Multi-modal 3D Human Pose Estimation for Human-Robot Collaborative Applications. 355-364 - Darshan Batavia, Rocío González-Díaz, Walter G. Kropatsch:
Image = Structure + Few Colors. 365-375
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