• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2020
• 
  Shigeo Abe:
  Minimal Complexity Support Vector Machines. ANNPR 2020: 89-101
• 
  Ahmad Aghaebrahimian, Mark Cieliebak:
  Named Entity Disambiguation at Scale. ANNPR 2020: 102-110
• 
  Peter Bellmann, Patrick Thiam, Friedhelm Schwenker:
  Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario. ANNPR 2020: 149-161
• 
  Jasmin Dalferth, Sven Winkelmann, Friedhelm Schwenker:
  Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools. ANNPR 2020: 223-234
• 
  Fady K. Fahmy, Mahmoud I. Khalil, Hazem M. Abbas:
  A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture. ANNPR 2020: 266-277
• 
  Sina Famouri, Lia Morra, Fabrizio Lamberti:
  A Deep Learning Approach for Efficient Registration of Dual View Mammography. ANNPR 2020: 162-172
• 
  Fabian Furger, Ludovic Amruthalingam, Alexander A. Navarini, Marc Pouly:
  Applications of Generative Adversarial Networks to Dermatologic Imaging. ANNPR 2020: 187-199
• 
  Fabio Garcea, Sina Famouri, Davide Valentino, Lia Morra, Fabrizio Lamberti:
  iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. ANNPR 2020: 291-303
• 
  Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann:
  How (Not) to Measure Bias in Face Recognition Networks. ANNPR 2020: 125-137
• 
  Jeremy Gordon, David Rawlinson, Subutai Ahmad:
  Long Distance Relationships Without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling. ANNPR 2020: 52-64
• 
  Gregory Gygax, Martin Schüle:
  A Hybrid Deep Learning Approach for Forecasting Air Temperature. ANNPR 2020: 235-246
• 
  Dalila Hattab:
  ML-Based Trading Models: An Investigation During COVID-19 Pandemic Crisis. ANNPR 2020: 278-290
• 
  Nouredine Hussain, Christopher Finelli:
  KP-YOLO: A Modification of YOLO Algorithm for the Keypoint-Based Detection of QR Codes. ANNPR 2020: 211-222
• 
  Srinath Jayachandran, Ashlin Ghosh:
  Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology. ANNPR 2020: 173-186
• 
  Moritz Kaufmann, Martin Schüle, Theo H. M. Smits, Joël F. Pothier:
  Typing Plasmids with Distributed Sequence Representation. ANNPR 2020: 200-210
• 
  Nikolaus Korfhage, Markus Mühling, Bernd Freisleben:
  Intentional Image Similarity Search. ANNPR 2020: 23-35
• 
  Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev:
  Geometric Attention for Prediction of Differential Properties in 3D Point Clouds. ANNPR 2020: 113-124
• 
  Pascal Paysan, Igor Peterlík, Toon Roggen, Liangjia Zhu, Claas Wessels, Jan Schreier, Martin Buchacek, Stefan Scheib:
  Deep Learning Methods for Image Guidance in Radiation Therapy. ANNPR 2020: 3-22
• 
  Poonam Rajput, Sparsh Mittal, Sarthak Narayan:
  Improving Accuracy and Efficiency of Object Detection Algorithms Using Multiscale Feature Aggregation Plugins. ANNPR 2020: 65-76
• 
  Tobias Ricken, Adrian Steinert, Peter Bellmann, Steffen Walter, Friedhelm Schwenker:
  Feature Extraction: A Time Window Analysis Based on the X-ITE Pain Database. ANNPR 2020: 138-148
• 
  Christoph Walter Senn, Itsuo Kumazawa:
  Abstract Echo State Networks. ANNPR 2020: 77-88
• 
  Graham Spinks, Marie-Francine Moens:
  Structured (De)composable Representations Trained with Neural Networks. ANNPR 2020: 39-51
• 
  Beat Wolf, Jonathan Donzallaz, Colette Jost, Amanda Hayoz, Stéphane Commend, Jean Hennebert, Pierre Kuonen:
  Using CNNs to Optimize Numerical Simulations in Geotechnical Engineering. ANNPR 2020: 247-256
• 
  Anna Wróbel, Gregory Gygax, Andi Schmid, Thomas Ott:
  Going for 2D or 3D? Investigating Various Machine Learning Approaches for Peach Variety Identification. ANNPR 2020: 257-265
• 
  Frank-Peter Schilling, Thilo Stadelmann:
  Artificial Neural Networks in Pattern Recognition - 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2-4, 2020, Proceedings. Lecture Notes in Computer Science 12294, Springer 2020, ISBN 978-3-030-58308-8 [contents]