| 2018 | DLGraph: Malware Detection Using Deep Learning and Graph Embedding. | Haodi Jiang, Turki Turki, Jason T. L. Wang |
| 2018 | Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer. | Alokkumar Jha, Ghanshyam Verma, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay |
| 2018 | Flexible Selecting of Style to Content Ratio in Neural Style Transfer. | Taehee Jeong, Anubha Mandal |
| 2018 | Using Multi-task and Transfer Learning to Solve Working Memory Tasks. | T. S. Jayram, Tomasz Kornuta, Ryan L. McAvoy, Ahmet S. Ozcan |
| 2018 | Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients. | Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah |
| 2018 | Implementation of a Modified Nesterov's Accelerated Quasi-Newton Method on Tensorflow. | S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai |
| 2018 | Imbalanced Toxic Comments Classification Using Data Augmentation and Deep Learning. | Mai Ibrahim, Marwan Torki, Nagwa M. El-Makky |
| 2018 | Predicting Employer Recruitment of Individuals with Autism Spectrum Disorders with Decision Trees. | Kayleigh Hyde, Amy-Jane Griffiths, Cristina Giannantonio, Amy Hurley-Hanson, Erik Linstead |
| 2018 | Constrained Sparse Dynamic Time Warping. | Youngha Hwang, Saul B. Gelfand |
| 2018 | Detecting Different Types of Concept Drifts with Ensemble Framework. | Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu |
| 2018 | Xiao-Shih: The Educational Intelligent Question Answering Bot on Chinese-Based MOOCs. | Hao-Hsuan Hsu, Nen-Fu Huang |
| 2018 | Multi-agent Reinforcement Learning Approach for Scheduling Cluster Tools with Condition Based Chamber Cleaning Operations. | Cheolhui Hong, Tae-Eog Lee |
| 2018 | Analysis of Railway Accidents' Narratives Using Deep Learning. | Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown |
| 2018 | Interactive Evaluation of Classifiers Under Limited Resources. | Sabit Hassan, Shaden Shaar, Bhiksha Raj, Saquib Razak |
| 2018 | Anomaly Detection Using Deep Learning Based Image Completion. | Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai |
| 2018 | Discussion and Review of the Use of Neural Networks to Improve the Flexibility of Smart Grids in Presence of Distributed Renewable Ressources. | Zeineb Hammami, Moamar Sayed-Mouchaweh, Wiem Mouelhi, Lamjed Ben Said |
| 2018 | Teacher/Student Deep Semi-Supervised Learning for Training with Noisy Labels. | Zeyad Hailat, Xue-wen Chen |
| 2018 | Learning to Fingerprint the Latent Structure in Question Articulation. | Guntur Ravindra, Mrityunjay Kumar |
| 2018 | Balanced Multi-window Inference. | Joel Goodman, Kevin S. Lorenz, Crystal Acost, George Stantchev |
| 2018 | Deep Architectures for Spatio-Temporal Modeling: Automated Seizure Detection in Scalp EEGs. | Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Iyad Obeid, Joseph Picone |
| 2018 | Learning Convolutional Neural Networks from Ordered Features of Generic Data. | Eric Golinko, Thomas Sonderman, Xingquan Zhu |
| 2018 | Real-Time Prediction of Employee Engagement Using Social Media and Text Mining. | Abbas Golestani, Mikhil Masli, N. Sadat Shami, Jennifer Jones, Abhilash Menon, Joydeep Mondal |
| 2018 | Sonar-to-Satellite Translation using Deep Learning. | Giovanni G. Giacomo, Matheus Machado dos Santos, Paulo Drews Jr., Silvia S. C. Botelho |
| 2018 | Local Sensitive Hashing (LSH) and Convolutional Neural Networks (CNNs) for Object Recognition. | Mehdi Ghayoumi, Miguel Gomez, Kate E. Baumstein, Narindra Persaud, Andrew J. Perlowin |
| 2018 | Interpretability and Reproducability in Production Machine Learning Applications. | Sindhu Ghanta, Sriram Subramanian, Swaminathan Sundararaman, Lior Khermosh, Vinay Sridhar, Dulcardo Arteaga, Qianmei Luo, Dhananjoy Das, Nisha Talagala |