Computing Quality-of-Experience Ranges for Video Quality Estimation. - Lohic Fotio Tiotsop; Enrico Masala; Ahmed Aldahdooh; Glenn Van Wallendael; Marcus Barkowsky (QoMEX, 2019)

Optimally Scheduling Complex Logistics Operations Involving Acquisition, Elaboration and Action Tasks. - Lohic Fotio Tiotsop; Antonio Servetti; Enrico Masala (RTSI, 2019)

Predicting Single Observer's Votes from Objective Measures using Neural Networks. - Lohic Fotio Tiotsop; Tomas Mizdos; Miroslav Uhrina; Peter Pocta; Marcus Barkowsky; Enrico Masala (HVEI, 2020)

Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset. - Lohic Fotio Tiotsop; Antonio Servetti; Enrico Masala (HVEI, 2020)

Full Reference Video Quality Measures Improvement Using Neural Networks. - Lohic Fotio Tiotsop; Antonio Servetti; Enrico Masala (ICASSP, 2020)

An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision. - Lohic Fotio Tiotsop; Antonio Servetti; Enrico Masala (Comput. Oper. Res., 2020)

The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs. - Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba; Roberto Tadei (Transp. Sci., 2020)

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 (MMSP, 2021)

On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics. - Lohic Fotio Tiotsop; Florence Agboma; Glenn Van Wallendael; Ahmed Aldahdooh; Sebastian Bosse; Lucjan Janowski; Marcus Barkowsky; Enrico Masala (IEEE Access, 2021)

Stochastic single machine scheduling problem as a multi-stage dynamic random decision process. - Mina Roohnavazfar; Daniele Manerba; Lohic Fotio Tiotsop; Seyed Hamid Reza Pasandideh; Roberto Tadei (Comput. Manag. Sci., 2021)

Modeling and estimating the subjects' diversity of opinions in video quality assessment: a neural network based approach. - Lohic Fotio Tiotsop; Tomas Mizdos; Miroslav Uhrina; Marcus Barkowsky; Peter Pocta; Enrico Masala (Multim. Tools Appl., 2021)

A chance-constraint approach for optimizing social engagement-based services. - Michel Bierlaire; Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba (FedCSIS, 2022)

Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings. - Lohic Fotio Tiotsop; Antonio Servetti; Marcus Barkowsky; Enrico Masala (QoMEX, 2022)

Workforce Allocation for Social Engagement Services via Stochastic Optimization. - Michel Bierlaire; Edoardo Fadda; Lohic Fotio Tiotsop; Daniele Manerba (WCO, 2022)

Mimicking Individual Media Quality Perception with Neural Network based Artificial Observers. - Lohic Fotio Tiotsop; Tomas Mizdos; Marcus Barkowsky; Peter Pocta; Antonio Servetti; Enrico Masala (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Training the DNN of a Single Observer by Conducting Individualized Subjective Experiments. - Pavel Majerl; Lohic Fotio Tiotsop; Marcus Barkowsky (QoMEX, 2023)

A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments. - Lohic Fotio Tiotsop; Antonio Servetti; Enrico Masala (QoMEX, 2023)

Predicting individual quality ratings of compressed images through deep CNNs-based artificial observers. - Lohic Fotio Tiotsop; Antonio Servetti; Marcus Barkowsky; Peter Pocta; Tomas Mizdos; Glenn Van Wallendael; Enrico Masala (Signal Process. Image Commun., 2023)

Subjective Media Quality Recovery From Noisy Raw Opinion Scores: A Non-Parametric Perspective. - Andrés Altieri; Lohic Fotio Tiotsop; Giuseppe Valenzise (IEEE Trans. Multim., 2024)

Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale. - Lohic Fotio Tiotsop; Antonio Servetti; Marcus Barkowsky; Enrico Masala (IEEE Trans. Multim., 2024)

Multiple Image Distortion DNN Modeling Individual Subject Quality Assessment. - Lohic Fotio Tiotsop; Antonio Servetti; Peter Pocta; Glenn Van Wallendael; Marcus Barkowsky; Enrico Masala (ACM Trans. Multim. Comput. Commun. Appl., 2024)