Program – ANNPR 2020

09:30-10:00	Opening
10:00-10:50	Keynote: Bernd Freisleben (Univ. Marburg)
10:50-11:30	Break
11:30-12:45	Session: Foundations 1 11:30 Abstract Echo State Networks (C. W. Senn and I. Kumazawa, Tokyo Inst. of Tech.) 11:55 Structured (De)composable Representations Trained with Neural Networks (G. Spinks and M.-F. Moens, Katholieke Univ. Leuven) 12:20 Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins (P. Rajput, S. Mittal and S. Narayan, Indian Inst. of Tech.)
12:45-14:30	Break
14:30-15:45	Session: Applications 1 14:30 How (Not) to Measure Bias in Face Recognition Networks (S. Glüge, M. Amirian, D. Flumini and T. Stadelmann, ZHAW) 14:55 A deep learning approach for efficient registration of dual view mammography (S. Famouri, L. Morra and F. Lamberti, Politecnico di Torino) 15:20 Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification (A. Wróbel, G. Gygax, A. Schmid and T. Ott, ZHAW)
15:45-16:15	Break
16:15-17:30	Session: Applications 2 16:15 Applications of Generative Adversarial Networks to Dermatologic Imaging (F. Furger, L. Amruthalingam, A. Navarini and M. Pouly, Basel Univ. and HSLU) 16:40 Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario (P. Bellmann, P. Thiam and F. Schwenker, Ulm Univ.) 17:05 Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology (S. Jayachandran and A. Ghosh, Robert Bosch India)
17:30-18:30	Virtual Apero

09:00-09:50	Keynote: Juergen Schmidhuber (IDSIA)
09:50-10:15	Break
10:15-11:30	Session: Foundations 2 10:15 Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling (J. Gordon, D. Rawlinson and S. Ahmad, UC Berkeley) 10:40 Minimal Complexity Support Vector Machines (S. Abe, Kobe Univ.) 11:05 Named Entity Disambiguation at Scale (A. Aghaebrahimian and M. Cieliebak, ZHAW)
11:30-13:00	Break
13:00-13:50	Keynote: Pascal Paysan (Varian Medical Systems)
13:50-15:05	Session: Applied Research 13:50 KP-YOLO: a modification of YOLO algorithm for keypoint based detection of QR-Codes (N. Hussain and C. Finelli, Icare Inst.) 14:15 Geometric Attention for Prediction of Differential Properties in 3D Point Clouds (A. Matveev, A. Artemov and E. Burnaev, Skolkovo Inst. of Sci. and Tech.) 14:40 Using CNNs to optimize numerical simulations in geotechnical engineering (B. Wolf, J. Donzallaz, C. Jost, A. Hayoz, S. Commend, J. Hennebert and P. Kuonen, HES-SO)
15:05-15:30	Break
15:30-16:00	Industry Pitches CSEM, LeanBI, SBB, ScorePad, Turicode
16:00-17:30	Industry Booths / Networking See Sponsors
17:30-18:00	Virtual Lounge

09:00-09:50	Keynote: Naftali Tishby (Hebrew Univ.)
09:50-10:10	Poster Pitches
10:10-11:00	Poster Session ML-Based Trading Models: An investigation during COVID-19 pandemic crisis (D. Hattab, Worldine) Typing Plasmids with Distributed Sequence Representation (M. Kaufmann, M. Schüle, T. H. M. Smits and J. F. Pothier, ZHAW) iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool (F. Garcea, S. Famouri, D. Valentino, L. Morra and F. Lamberti, Politecnico di Torino) Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools (J. Dalferth, S. Winkelmann and F. Schwenker, c-Com and Ulm Univ.)
11:00-11:30	Break
11:30-12:45	Session: Applications 3 11:30 A Hybrid Deep Learning Approach For Forecasting Air Temperature (G. Gygax and M. Schuele, ZHAW) 11:55 A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture (F. Khalaf, H. Abbas and M. Khaleel, Ain Shams Univ.) 12:20 Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database (T. Ricken, A. Steinert, P. Bellmann, S. Walter and F. Schwenker, Ulm Univ.)
12:45-13:00	Prizes / Closing