| 2023 | QoMEX | Training the DNN of a Single Observer by Conducting Individualized Subjective Experiments. | Pavel Majerl, Lohic Fotio Tiotsop, Marcus Barkowsky |
| 2023 | QoMEX | A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments. | Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala |
| 2022 | FedCSIS | A chance-constraint approach for optimizing social engagement-based services. | Michel Bierlaire, Edoardo Fadda, Lohic Fotio Tiotsop, Daniele Manerba |
| 2022 | QoMEX | Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings. | Lohic Fotio Tiotsop, Antonio Servetti, Marcus Barkowsky, Enrico Masala |
| 2022 | WCO | Workforce Allocation for Social Engagement Services via Stochastic Optimization. | Michel Bierlaire, Edoardo Fadda, Lohic Fotio Tiotsop, Daniele Manerba |
| 2021 | MMSP | How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets? | Lohic Fotio Tiotsop, Tomas Mizdos, Enrico Masala, Marcus Barkowsky, Peter Pocta |
| 2020 | ICASSP | Full Reference Video Quality Measures Improvement Using Neural Networks. | Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala |
| 2019 | QoMEX | Computing Quality-of-Experience Ranges for Video Quality Estimation. | Lohic Fotio Tiotsop, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael, Marcus Barkowsky |