| 2020 | Heart Audio Classification Using Deep Learning. | Arooshi Taneja, Yashvi Gulati, Tushar Chugh, Pawan Joshi, Narina Thakur |
| 2020 | Architecture for accurate polyp segmentation in motion-blurred colonoscopy images. | Makoto Takamatsu, Makoto Hasegawa |
| 2020 | DeepGamble: Towards unlocking real-time player intelligence using multi-layer instance segmentation and attribute detection. | Danish Syed, Naman Gandhi, Arushi Arora, Nilesh Kadam |
| 2020 | End-to-End Deep Learning for Reliable Cardiac Activity Monitoring using Seismocardiograms. | Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan |
| 2020 | Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption. | Yuwei Sun, Hiroshi Esaki, Hideya Ochiai |
| 2020 | From Quantitative Analysis to Synthesis of Efficient Binary Neural Networks. | Tim Stadtmann, Cecilia Latotzke, Tobias Gemmeke |
| 2020 | Generalization of iterative sampling in autoencoders. | Miguel Solinas, Clovis Galiez, Romain Cohendet, Stephane Rousset, Marina Reyboz, Martial Mermillod |
| 2020 | Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. | Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng |
| 2020 | Benchmarking Machine Learning Solutions in Production. | Lucas Cardoso Silva, Fernando Rezende Zagatti, Bruno Silva Sette, Lucas Nildaimon dos Santos Silva, Daniel Lucrdio, Diego Furtado Silva, Helena de Medeiros Caseli |
| 2020 | Al-based BMI Inference from Facial Images: An Application to Weight Monitoring. | Hera Siddiqui, Ajita Rattani, Dakshina Ranjan Kisku, Tanner Dean |
| 2020 | Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations. | Zheng Shi, Nur Sila Gulgec, Albert S. Berahas, Shamim N. Pakzad, Martin Takc |
| 2020 | Predicting purchase probability of retail items using an ensemble learning approach and historical data. | Archika Sharma, M. Omair Shafiq |
| 2020 | COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach. | Vishal Sharma, Curtis E. Dyreson |
| 2020 | A Deep Learning Framework for Ensuring Responsible Play in Skill-based Cash Gaming. | Deepanshi Seth, Sharanya Eswaran, Tridib Mukherjee, Mridul Sachdeva |
| 2020 | Enabling Rewards for Reinforcement Learning in Laser Beam Welding processes through Deep Learning. | Markus Schmitz, Florian Pinsker, Alexander Ruhri, Beibei Jiang, Georgij Safronov |
| 2020 | N-BEATS-RNN: deep learning for time series forecasting. | Attilio Sbrana, Andr Luis Debiaso Rossi, Murilo Coelho Naldi |
| 2020 | Product Recommendation System for Supermarket. | Pranavi Satheesan, Prasanna S. Haddela, Jesuthasan Alosius |
| 2020 | A clustering-based biased Monte Carlo approach to protein titration curve prediction. | Arun V. Sathanur, Nathan A. Baker |
| 2020 | Malware Classification using Recurrence Plots and Deep Neural Network. | Sara Sartoli, Yong Wei, Shane Hampton |
| 2020 | Neural Data Augmentation Techniques for Time Series Data and its Benefits. | Anindya Sarkar, Anirudh Sunder Raj, Raghu Sesha Iyengar |
| 2020 | K-metamodes: frequency-and ensemble-based distributed k-modes clustering for security analytics. | Andrey Sapegin, Christoph Meinel |
| 2020 | Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase. | Budhaditya Saha, Vedant Mandloi, Shameek Ghosh |
| 2020 | Machine Learning Fairness in Justice Systems: Base Rates, False Positives, and False Negatives. | Jesse Russell |
| 2020 | Using Graph Embeddings and Machine Learning to Detect Cryptography Misuse in Source Code. | Gustavo Eloi de Paula Rodrigues, Alexandre Melo Braga, Ricardo Dahab |
| 2020 | pReview: The Artificially Intelligent Conference Reviewer. | Jesse Roberts, Douglas H. Fisher |