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ORCIDANNPR 2018: Siena, Italy
- Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin:
Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings. Lecture Notes in Computer Science 11081, Springer 2018, ISBN 978-3-319-99977-7
Invited Papers
- Marco Gori:
What's Wrong with Computer Vision? 3-16 - Thilo Stadelmann
, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. 17-38
Learning Algorithms and Architectures
- Shigeo Abe:
Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines. 41-53 - Baptiste Wicht, Andreas Fischer, Jean Hennebert:
DLL: A Fast Deep Neural Network Library. 54-65 - Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler:
Selecting Features from Foreign Classes. 66-77 - Vincenzo Laveglia, Edmondo Trentin:
A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs. 78-89 - Andrea Zugarini, Jérémy Morvan, Stefano Melacci, Stefan Knerr, Marco Gori:
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text. 90-101 - Abel S. Zacarias, Luís A. Alexandre:
SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation. 102-112 - Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk:
Classification Uncertainty of Deep Neural Networks Based on Gradient Information. 113-125 - Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann:
Learning Neural Models for End-to-End Clustering. 126-138 - Adrián T. Ruiz, Patrick Thiam, Friedhelm Schwenker, Günther Palm:
A k -Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning. 139-151 - Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev:
Manifold Learning Regression with Non-stationary Kernels. 152-164 - Roghayeh Soleymani, Eric Granger, Giorgio Fumera:
F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data. 165-177 - Edmondo Trentin:
Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation. 178-189 - Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. 190-200 - Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli:
Inductive-Transductive Learning with Graph Neural Networks. 201-212 - Heinke Hihn, Sebastian Gottwald, Daniel A. Braun:
Bounded Rational Decision-Making with Adaptive Neural Network Priors. 213-225 - Catuscia Palamidessi, Marco Romanelli:
Feature Selection with Rényi Min-Entropy. 226-239
Applications
- Salvatore Mangano, Carlos Delgado, María Isabel Bernardos, Miguel Lallena, Juan José Rodríguez-Vázquez:
Extracting Gamma-Ray Information from Images with Convolutional Neural Network Methods on Simulated Cherenkov Telescope Array Data. 243-254 - Pisit Nakjai, Tatpong Katanyukul:
Automatic Hand Sign Recognition: Identify Unusuality Through Latent Cognizance. 255-267 - Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand:
Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation. 268-280 - Mohammad Hanafy, Mahmoud I. Khalil, Hazem M. Abbas:
Combining Classical and Deep Learning Methods for Twitter Sentiment Analysis. 281-292 - Taraggy M. Ghanim, Mahmoud I. Khalil, Hazem M. Abbas:
PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition. 293-305 - Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein:
Pattern Recognition Pipeline for Neuroimaging Data. 306-319 - Dmitry Smolyakov, Nadezda Sviridenko, Evgeny Burikov, Evgeny Burnaev:
Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection. 320-332 - Thilo Stadelmann, Sebastian Glinski-Haefeli, Patrick Gerber, Oliver Dürr:
Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering. 333-345 - Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann:
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. 346-358 - Volkmar Frinken, Satish Ravindran, Shriphani Palakodety, Guha Jayachandran, Nilesh Powar:
Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER ^3 ). 359-370 - Alessandro Rossi, Antonio Rizzo, Francesco Montefoschi:
ATM Protection Using Embedded Deep Learning Solutions. 371-382 - Zahra Ziran, Simone Marinai:
Object Detection in Floor Plan Images. 383-394 - Samuele Capobianco, Leonardo Scommegna, Simone Marinai:
Historical Handwritten Document Segmentation by Using a Weighted Loss. 395-406
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