| 2025 | AAAI | Universality of Real Minimal Complexity Reservoir. | Robert Simon Fong, Boyu Li, Peter Tino |
| 2024 | IJCNN | An Interpretable Alternative to Neural Representation Learning for Rating Prediction - Transparent Latent Class Modeling of User Reviews. | Giuseppe Serra, Peter Tino, Zhao Xu, Xin Yao |
| 2024 | IJCNN | Predictive Modeling in the Reservoir Kernel Motif Space. | Peter Tino, Robert Simon Fong, Roberto Fabio Leonarduzzi |
| 2023 | HAIS | Real-Time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling. | Vahab Samandi, Peter Tino, Rami Bahsoon |
| 2022 | IJCNN | Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. | Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao |
| 2022 | IDEAL | Duplication Scheduling with Bottom-Up Top-Down Recursive Neural Network. | Vahab Samandi, Peter Tino, Rami Bahsoon |
| 2021 | ICWS | Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge. | Abdessalam Elhabbash, Rami Bahsoon, Peter Tino, Peter R. Lewis, Yehia Elkhatib |
| 2021 | IDEAL | Tracking the Temporal-Evolution of Supernova Bubbles in Numerical Simulations. | Marco Canducci, Abolfazl Taghribi, Michele Mastropietro, Sven De Rijcke, Reynier Peletier, Kerstin Bunte, Peter Tino |
| 2021 | IDEAL | SOMiMS - Topographic Mapping in the Model Space. | Xinyue Chen, Yuan Shen, Eder Zavala, Krasimira Tsaneva-Atanasova, Thomas Upton, Georgina Russell, Peter Tino |
| 2005 | IJCNN | Sequential relevance vector machine learning from time series. | Nikolay I. Nikolaev, Peter Tino |