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Lohic Fotio Tiotsop
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2020 – today
- 2024
- [j10]Lohic Fotio Tiotsop
, Antonio Servetti
Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale. IEEE Trans. Multim. 26: 8742-8757 (2024) - [j9]Andrés Altieri
Subjective Media Quality Recovery From Noisy Raw Opinion Scores: A Non-Parametric Perspective. IEEE Trans. Multim. 26: 9342-9357 (2024) - [j8]Lohic Fotio Tiotsop
Multiple Image Distortion DNN Modeling Individual Subject Quality Assessment. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 255:1-255:27 (2024) - 2023
- [j7]Lohic Fotio Tiotsop
Predicting individual quality ratings of compressed images through deep CNNs-based artificial observers. Signal Process. Image Commun. 112: 116917 (2023) - [c11]Lohic Fotio Tiotsop, Antonio Servetti
A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments. QoMEX 2023: 43-48 - [c10]Pavel Majerl, Lohic Fotio Tiotsop, Marcus Barkowsky:
Training the DNN of a Single Observer by Conducting Individualized Subjective Experiments. QoMEX 2023: 103-106 - 2022
- [j6]Lohic Fotio Tiotsop
Mimicking Individual Media Quality Perception with Neural Network based Artificial Observers. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 12:1-12:25 (2022) - [c9]Michel Bierlaire, Edoardo Fadda
A chance-constraint approach for optimizing social engagement-based services. FedCSIS 2022: 301-304 - [c8]Lohic Fotio Tiotsop, Antonio Servetti
Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings. QoMEX 2022: 1-4 - [c7]Michel Bierlaire, Edoardo Fadda
Workforce Allocation for Social Engagement Services via Stochastic Optimization. WCO 2022: 71-87 - 2021
- [j5]Lohic Fotio Tiotsop
On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics. IEEE Access 9: 152923-152937 (2021) - [j4]Mina Roohnavazfar, Daniele Manerba
Stochastic single machine scheduling problem as a multi-stage dynamic random decision process. Comput. Manag. Sci. 18(3): 267-297 (2021) - [j3]Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina
Modeling and estimating the subjects' diversity of opinions in video quality assessment: a neural network based approach. Multim. Tools Appl. 80(3): 3469-3487 (2021) - [c6]Lohic Fotio Tiotsop, Tomas Mizdos, Enrico Masala, Marcus Barkowsky, Peter Pocta
How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets? MMSP 2021: 1-6 - 2020
- [j2]Lohic Fotio Tiotsop
An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision. Comput. Oper. Res. 114 (2020) - [j1]Edoardo Fadda
The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs. Transp. Sci. 54(5): 1372-1387 (2020) - [c5]Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina
Predicting Single Observer's Votes from Objective Measures using Neural Networks. HVEI 2020 - [c4]Lohic Fotio Tiotsop, Antonio Servetti
Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset. HVEI 2020 - [c3]Lohic Fotio Tiotsop, Antonio Servetti
Full Reference Video Quality Measures Improvement Using Neural Networks. ICASSP 2020: 2737-2741
2010 – 2019
- 2019
- [c2]Lohic Fotio Tiotsop, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael
Computing Quality-of-Experience Ranges for Video Quality Estimation. QoMEX 2019: 1-3 - [c1]Lohic Fotio Tiotsop, Antonio Servetti
Optimally Scheduling Complex Logistics Operations Involving Acquisition, Elaboration and Action Tasks. RTSI 2019: 149-154
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last updated on 2024-12-10 20:48 CET by the dblp team
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