| 2019 | Active Learning for Image Recognition Using a Visualization-Based User Interface. | Christian Limberg, Kathrin Krieger, Heiko Wersing, Helge J. Ritter |
| 2019 | Quality-Diversity Summarization with Unsupervised Autoencoders. | Lei Li, Zuying Huang, Natalia Vanetik, Marina Litvak |
| 2019 | IBDNet: Lightweight Network for On-orbit Image Blind Denoising. | Ling Li, Junxing Hu, Yijun Lin, Fengge Wu, Junsuo Zhao |
| 2019 | MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. | Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng |
| 2019 | Flow2Seg: Motion-Aided Semantic Segmentation. | Xiangtai Li, Jiangang Bai, Kuiyuan Yang, Yunhai Tong |
| 2019 | Training Discriminative Models to Evaluate Generative Ones. | Timothe Lesort, Andrei Stoian, Jean-Franois Goudou, David Filliat |
| 2019 | Marginal Replay vs Conditional Replay for Continual Learning. | Timothe Lesort, Alexander Gepperth, Andrei Stoian, David Filliat |
| 2019 | RL Extraction of Syntax-Based Chunks for Sentence Compression. | Hoa T. Le, Christophe Cerisara, Claire Gardent |
| 2019 | Measuring the Angle of Hallux Valgus Using Segmentation of Bones on X-Ray Images. | Konrad Kwolek, Henryk Liszka, Bogdan Kwolek, Artur Gadek |
| 2019 | Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. | Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek |
| 2019 | Embedding Complexity of Learned Representations in Neural Networks. | Tomas Kuzma, Igor Farkas |
| 2019 | Probabilistic Bounds for Approximation by Neural Networks. | Vera Kurkov |
| 2019 | On the Inability of Markov Models to Capture Criticality in Human Mobility. | Vaibhav Kulkarni, Abhijit Mahalunkar, Benot Garbinato, John D. Kelleher |
| 2019 | Echo State Property of Neuronal Cell Cultures. | Tomoyuki Kubota, Kohei Nakajima, Hirokazu Takahashi |
| 2019 | Predictive Power of Time-Series Based Machine Learning Models for DMPK Measurements in Drug Discovery. | Modest von Korff, Olivier Corminboeuf, John Gatfield, Sbastien Jeay, Isabelle Reymond, Thomas Sander |
| 2019 | Dynamic Ensemble Using Previous and Predicted Future Performance for Multi-step-ahead Solar Power Forecasting. | Irena Koprinska, Mashud Rana, Ashfaqur Rahman |
| 2019 | Continual Learning Exploiting Structure of Fractal Reservoir Computing. | Taisuke Kobayashi, Toshiki Sugino |
| 2019 | Variational Deep Embedding with Regularized Student-t Mixture Model. | Taisuke Kobayashi |
| 2019 | Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods. | Andreas Knoblauch, Gnther Palm |
| 2019 | Increasing the Generalisaton Capacity of Conditional VAEs. | Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt |
| 2019 | Hypernetwork Functional Image Representation. | Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja |
| 2019 | Explainable Anomaly Detection via Feature-Based Localization. | Shogo Kitamura, Yuichi Nonaka |
| 2019 | Region Prediction from Hungarian Folk Music Using Convolutional Neural Networks. | Anna Kiss, Csaba Sulyok, Zaln Bod |
| 2019 | UAV Detection: A STDP Trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach. | Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, Yiannis Andreopoulos, George Matich |
| 2019 | Towards Attention Based Vulnerability Discovery Using Source Code Representation. | Junae Kim, David Hubczenko, Paul Montague |