| 2023 | Organizational Resource Scheduling using Deep Reinforcement Learning. | |
| 2023 | A Multimodal Adversarial Database: Towards A Comprehensive Assessment of Adversarial Attacks and Defenses on Medical Images. | Junyao Hu, Yimin He, Weiyu Zhang, Shuchao Pang, Ruhao Ma, Anan Du |
| 2023 | Incremental Targeted Mining in Sequences. | Kaixia Hu, Wensheng Gan, Gengsen Huang, Guoting Chen, Jerry Chun-Wei Lin |
| 2023 | Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study. | Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller |
| 2023 | Finite-Sample Bounds for Two-Distribution Hypothesis Tests. | Cynthia Hom, William Yik, George D. Montaez |
| 2023 | Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. | Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen |
| 2023 | Cross-layer Federated Heterogeneous Ensemble Learning for Lightweight IoT Intrusion Detection System. | Suzan Hajj, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul, Dominique Ginhac |
| 2023 | Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data. | Yash Gupta, Navneet Goyal, Vishal John Varghese, Poonam Goyal |
| 2023 | Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. | Veronica Guidetti, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Jole Burastero, Davide Ferrari, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini, Federica Mandreoli |
| 2023 | Enhanced Edge Prediction, a case study: predicting links in Wikipedia sites. | Apostolos Giannoulidis, Ioannis Mavroudopoulos |
| 2023 | Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. | Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto |
| 2023 | Unfolding temporal networks through statistically significant graph evolution rules. | Alessia Galdeman, Matteo Zignani, Sabrina Gaito |
| 2023 | ZigBee Network for AGV Communication in Industrial Environments. | Jaroslaw Flak, Tomasz Skowron, Rafal Cupek, Marcin Fojcik, Dariusz Caban, Adam Domanski |
| 2023 | Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. | Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock |
| 2023 | Recycling of generic ImageNet-trained models for smart-city applications. | Katarzyna Filus, Joanna Domanska |
| 2023 | Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. | Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi |
| 2023 | 1NN-DTW ARIMA LSTM: A new ensemble for forecasting multi-domain/multi-context time series. | Hadi Fanaee-T |
| 2023 | To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. | Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri |
| 2023 | Privacy-Preserving Learning via Data and Knowledge Distillation. | Fahim Faisal, Carson K. Leung, Noman Mohammed, Yang Wang |
| 2023 | Price Prediction of Digital Currencies using Machine Learning. | Ashutosh Dhar Dwivedi, Subhayu Dutta, Subhrangshu Adhikary, Jens Myrup Pedersen |
| 2023 | Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. | Grzegorz Dudek |
| 2023 | Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection. | Youcef Djenouri, Ahmed Nabil Belbachir |
| 2023 | Disaster Image Classification Using Pre-trained Transformer and Contrastive Learning Models. | Soudabeh Taghian Dinani, Doina Caragea |
| 2023 | Enhancing Federated Learning by One-Shot Transferring of Intermediate Features from Clients. | Youxingzhu Deng, Yipeng Zhou, Gang Liu, Jessie Hui Wang, Shui Yu |
| 2023 | A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. | Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau |