| 2019 | Temporal Modeling of Deterioration Patterns and Clustering for Disease Prediction of ALS Patients. | Dan Halbersberg, Boaz Lerner |
| 2019 | Deep Neuronal Based Classifiers for Wireless Multi-hop Network Mobility Models. | Daniel Gutirrez, Sergio Toral |
| 2019 | AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. | Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar |
| 2019 | Persistent Homology Machine Learning for Fingerprint Classification. | Noah Giansiracusa, Robert Giansiracusa, Chul Moon |
| 2019 | Characterizing the Shape of Activation Space in Deep Neural Networks. | Thomas Gebhart, Paul Schrater, Alan Hylton |
| 2019 | A Machine Learning Approach to Maximizing Broadband Capacity via Dynamic DOCSIS 3.1 Profile Management. | Anastasia Gaydashenko, Sangeeta Ramakrishnan |
| 2019 | Widened Learning of Index Tracking Portfolios. | Iuliia Gavriushina, Oliver Sampson, Michael R. Berthold, Winfried Pohlmeier, Christian Borgelt |
| 2019 | Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery. | Yona Falinie A. Gaus, Neelanjan Bhowmik, Samet Akcay, Toby P. Breckon |
| 2019 | A Topological "Reading" Lesson: Classification of MNIST using TDA. | Adlie Garin, Guillaume Tauzin |
| 2019 | Face Recognition Using Segmentation Technology. | Fei Gao, Jiangjiang Liu |
| 2019 | Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos. | Xiaohong W. Gao, Barbara Braden, Stephen Taylor, Wei Pang |
| 2019 | Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai |
| 2019 | Exposition and Interpretation of the Topology of Neural Networks. | Rickard Brel Gabrielsson, Gunnar E. Carlsson |
| 2019 | Physics-Guided Neural Network with Model Discrepancy Based on Upper Troposphere Wind Prediction. | Ken-ichi Fukui, Junya Tanaka, Tomohiko Tomita, Masayuki Numao |
| 2019 | Recurrent Dilated DenseNets for a Time-Series Segmentation Task. | Alexander Fuchs, Robin Priewald, Franz Pernkopf |
| 2019 | Client-Side Monitoring of HTTP Clusters Using Machine Learning Techniques. | Ricardo Filipe, Filipe Arajo |
| 2019 | Deep Diamond Re-ID. | Floris De Feyter, Dries Hulens, Bram Claes, Toon Goedem |
| 2019 | A Comparative Analysis of Unsupervised Learning Techniques for Anomaly Detection in Railway Systems. | Macilio da Silva Ferreira, Lucio Flavio Vismari, Paulo Srgio Cugnasca, Jorge Rady de Almeida Jr., Joo Batista Camargo Jr., Guilherme Kallemback |
| 2019 | Evaluating the Performance of the Deep Active Imitation Learning Algorithm in the Dynamic Environment of FIFA Player Agents. | Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz |
| 2019 | Time Series Anomaly Detection from a Markov Chain Perspective. | Iman Vasheghani Farahani, Alex Chien, Russell E. King, Michael G. Kay, Brad Klenz |
| 2019 | Looking for the Best Fit of a Function over Circadian Rhythm Data. | Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Luis Barboza-Barquero, Kenneth Obando, Ovidio Valerio, Andrea Holst, Ronald Arias |
| 2019 | A Deep Learning Approach to Distributed Anomaly Detection for Edge Computing. | Okwudili M. Ezeme, Qusay H. Mahmoud, Akramul Azim |
| 2019 | Multi-agent Learning for Energy-Aware Placement of Autonomous Vehicles. | mer Ibrahim Erduran, Mirjam Minor, Lars Hedrich, Ahmad Tarraf, Frederik Ruehl, Hans Schroth |
| 2019 | An Analysis of Univariate and Multivariate Electrocardiography Signal Classification. | Nelly Elsayed, Anthony S. Maida, Magdy A. Bayoumi |
| 2019 | Analysis of Forest Fire Data Using Neural Network Rule Extraction with Human Understandable Rules. | Osama Elsarrar, Marjorie Darrah, Richard Devine |