Automated speech recognition in ATC environment. - José Manuel Cordero Garcia; Manuel Dorado; José Miguel de Pablo (ATACCS, 2012)

Effect of flight plans predictability and accuracy on traffic demand forecast. - Esther Calvo Fernández; José Manuel Cordero Garcia (ATACCS, 2013)

Specification of Semantic Trajectories Supporting Data Transformations for Analytics: The datAcron Ontology. - Georgios M. Santipantakis; George A. Vouros; Christos Doulkeridis; Akrivi Vlachou; Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Jose Manuel Cordero Garcia; Miguel Garcia Martinez (SEMANTiCS, 2017)

Learning Policies for Resolving Demand-Capacity Imbalances During Pre-tactical Air Traffic Management. - Theocharis Kravaris; George A. Vouros; Christos Spatharis; Konstantinos Blekas; Georgios Chalkiadakis; Jose Manuel Cordero Garcia (MATES, 2017)

Visual exploration of movement and event data with interactive time masks. - Natalia V. Andrienko; Gennady L. Andrienko; Elena Camossi; Christophe Claramunt; Jose Manuel Cordero Garcia; Georg Fuchs; Melita Hadzagic; Anne-Laure Jousselme; Cyril Ray; David Scarlatti; George A. Vouros (Vis. Informatics, 2017)

Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges. - George A. Vouros; Akrivi Vlachou; Georgios M. Santipantakis; Christos Doulkeridis; Nikos Pelekis; Harris V. Georgiou; Yannis Theodoridis; Kostas Patroumpas; Elias Alevizos; Alexander Artikis; Christophe Claramunt; Cyril Ray; et al. (EDBT, 2018)

Multiagent Reinforcement Learning Methods to Resolve Demand Capacity Balance Problems. - Christos Spatharis; Theocharis Kravaris; George A. Vouros; Konstantinos Blekas; Georgios Chalkiadakis; Jose Manuel Cordero Garcia; Esther Calvo Fernández (SETN, 2018)

Clustering Trajectories by Relevant Parts for Air Traffic Analysis. - Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Jose Manuel Cordero Garcia (IEEE Trans. Vis. Comput. Graph., 2018)

Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods. - Theocharis Kravaris; Christos Spatharis; Alevizos Bastas; George A. Vouros; Konstantinos Blekas; Gennady L. Andrienko; Natalia V. Andrienko; Jose Manuel Cordero Garcia (CoRR, 2019)

Identifying and modelling correlation between airport weather conditions and additional time in airport arrival sequencing and metering area. - Margarita Bagamanova; Juan José Ramos González; Miquel Angel Piera Eroles; José Manuel Cordero Garcia; Alvaro Rodriguez Sanz (Int. J. Simul. Process. Model., 2019)

The datAcron Ontology for the Specification of Semantic Trajectories - Specification of Semantic Trajectories for Data Transformations Supporting Visual Analytics. - George A. Vouros; Georgios M. Santipantakis; Christos Doulkeridis; Akrivi Vlachou; Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Jose Manuel Cordero Garcia; Miguel Garcia Martinez (J. Data Semant., 2019)

Analysis of Flight Variability: a Systematic Approach. - Natalia V. Andrienko; Gennady L. Andrienko; Jose Manuel Cordero Garcia; David Scarlatti (IEEE Trans. Vis. Comput. Graph., 2019)

Visual Analytics in the Aviation and Maritime Domains. - Gennady L. Andrienko; Natalia V. Andrienko; Georg Fuchs; Stefan Rüping 001; Jose Manuel Cordero Garcia; David Scarlatti; George A. Vouros; Ricardo Herranz; Rodrigo Marcos (Big Data Analytics for Time-Critical Mobility Forecasting, 2020)

The Perspective on Mobility Data from the Aviation Domain. - Jose Manuel Cordero Garcia; David Scarlatti (Big Data Analytics for Time-Critical Mobility Forecasting, 2020)

Automating the Resolution of Flight Conflicts: Deep Reinforcement Learning in Service of Air Traffic Controllers. - George A. Vouros; George Papadopoulos 006; Alevizos Bastas; Jose Manuel Cordero Garcia; Ruben Rodrigez Rodrigez (PAIS@ECAI, 2022)

Supporting Visual Exploration of Iterative Job Scheduling. - Gennady L. Andrienko; Natalia V. Andrienko; Jose Manuel Cordero Garcia; Dirk Hecker; George A. Vouros (IEEE Computer Graphics and Applications, 2022)

Hierarchical multiagent reinforcement learning schemes for air traffic management. - Christos Spatharis; Alevizos Bastas; Theocharis Kravaris; Konstantinos Blekas; George A. Vouros; Jose Manuel Cordero Garcia (Neural Comput. Appl., 2023)

Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management. - Theocharis Kravaris; Konstantinos Lentzos; Georgios Santipantakis; George A. Vouros; Gennady L. Andrienko; Natalia V. Andrienko; Ian Crook; Jose Manuel Cordero Garcia; Enrique Iglesias Martinez (Appl. Intell., 2023)

Deep reinforcement learning in service of air traffic controllers to resolve tactical conflicts. - George Papadopoulos 006; Alevizos Bastas; George A. Vouros; Ian Crook; Natalia V. Andrienko; Gennady L. Andrienko; Jose Manuel Cordero Garcia (Expert Syst. Appl., 2024)