| 2019 | Basic Evaluation Scenarios for Incrementally Trained Classifiers. | Rudolf J. Szadkowski, Jan Drchal, Jan Faigl |
| 2019 | PCI: Principal Component Initialization for Deep Autoencoders. | Aiga Suzuki, Hidenori Sakanashi |
| 2019 | Surrounding-Based Attention Networks for Aspect-Level Sentiment Classification. | Yueheng Sun, Xianchen Wang, Hongtao Liu, Wenjun Wang, Pengfei Jiao |
| 2019 | Multiple Pattern Generations and Chaotic Itinerant Dynamics in Reservoir Computing. | Hiromichi Suetani |
| 2019 | Using Conceptors to Transfer Between Long-Term and Short-Term Memory. | Anthony Strock, Nicolas P. Rougier, Xavier Hinaut |
| 2019 | Training Delays in Spiking Neural Networks. | Laura State, Pau Vilimelis Aceituno |
| 2019 | Improving Deep Image Clustering with Spatial Transformer Layers. | Thiago V. M. Souza, Cleber Zanchettin |
| 2019 | Optoelectronic Reservoir Computing Using a Mixed Digital-Analog Hardware Implementation. | Miguel C. Soriano, Pau Massuti-Ballester, Jess Yelo, Ingo Fischer |
| 2019 | Targeted Sentiment Classification with Attentional Encoder Network. | Youwei Song, Jiahai Wang, Tao Jiang, Zhiyue Liu, Yanghui Rao |
| 2019 | Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples. | Marcus Soll, Tobias Hinz, Sven Magg, Stefan Wermter |
| 2019 | On Deep Set Learning and the Choice of Aggregations. | Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer |
| 2019 | Architecture-Aware Bayesian Optimization for Neural Network Tuning. | Anders Sjberg, Magnus nnheim, Emil Gustavsson, Mats Jirstrand |
| 2019 | Counting with Analog Neurons. | Jir Sma |
| 2019 | Dynamic Centroid Insertion and Adjustment for Data Sets with Multiple Imbalanced Classes. | Evandro J. R. Silva, Cleber Zanchettin |
| 2019 | Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network. | Rachna Shriwas, Prasun Joshi, Vandana M. Ladwani, V. Ramasubramanian |
| 2019 | Ensemble of Convolutional Neural Networks for P300 Speller in Brain Computer Interface. | Hongchang Shan, Yu Liu, Todor P. Stefanov |
| 2019 | Application of Materials Informatics Tools to the Analysis of Combinatorial Libraries of All Metal-Oxides Photovoltaic Cells. | Hanoch Senderowitz, Abraham Yosipof, Omer Kaspi |
| 2019 | Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes. | Roman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico |
| 2019 | Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic. | Jens Schreiber, Maik Jessulat, Bernhard Sick |
| 2019 | Evaluation of Domain Adaptation Approaches for Robust Classification of Heterogeneous Biological Data Sets. | Michael Schneider, Lichao Wang, Carsten Marr |
| 2019 | Robustness of Deep LSTM Networks in Freehand Gesture Recognition. | Monika Schak, Alexander Gepperth |
| 2019 | A Study on Catastrophic Forgetting in Deep LSTM Networks. | Monika Schak, Alexander Gepperth |
| 2019 | On Chow-Liu Forest Based Regularization of Deep Belief Networks. | Alex Sarishvili, Andreas Wirsen, Mats Jirstrand |
| 2019 | Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures. | Shota Saito, Shinichi Shirakawa |
| 2019 | A Power-Efficient Architecture for On-Chip Reservoir Computing. | Stijn Sackesyn, Chonghuai Ma, Andrew Katumba, Joni Dambre, Peter Bienstman |