| Customer cognitive style prediction model based on mobile behavioral profile R De Oliveira, A Armenta, P Concejero, CM Guerra-salcedo, ... US Patent App. 13/177,615, 2012 | 96 | 2012 |
| Towards a psychographic user model from mobile phone usage R de Oliveira, A Karatzoglou, P Concejero Cerezo, ... CHI'11 Extended Abstracts on Human Factors in Computing Systems, 2191-2196, 2011 | 94 | 2011 |
| Method for the automatic detection and labelling of user point of interest R Lara, R Martinez, MA Rodriguez, A Martin, A Armenta US Patent App. 14/373,565, 2014 | 9 | 2014 |
| Desarrollo de un corrector ortográfico para aplicaciones de conversión texto-voz A Armenta, JG Escalada Sardina, JM Garrido Almiñana, ... Procesamiento del lenguaje natural, nº 31 (septiembre 2003); pp. 65-72, 2003 | 9 | 2003 |
| Coding, modification and synthesis of speech segments MAR Crespo, JGE Sardina, AAL de Vicuna US Patent 8,812,324, 2014 | 8 | 2014 |
| The I3MEDIA speech database: a trilingual annotated corpus for the analysis and synthesis of emotional speech. JM Garrido, Y Laplaza, M Marquina, A Pearman, JG Escalada, ... LREC, 1197-1202, 2012 | 6 | 2012 |
| Method for determining a user profile in relation to certain web content CG Gómez, IMI Martin, AAL DE VICUÑA US Patent App. 15/103,254, 2016 | 4 | 2016 |
| Conversor texto a voz multilingüe telefónica I+ D. A Armenta, G Escalada, JM Garrido, MÁ Rodríguez Procesamiento del lenguaje natural 31, 2003 | 4 | 2003 |
| Tools and Basque language databases developed in the AhoLab Laboratory B Etxebarria, E Navas, A Armenta, I Madariaga, I Gaminde, I Hernaez Workshop Proc. LREC, 62-70, 2000 | 3 | 2000 |
| DESCRIPCIÓN DEL SISTEMA II DE TELEFÓNICA I+ D PRESENTADO A LA EVALUACIÓN ALBAYZIN’08 PARA CTV JG Escalada, A Armenta, MÁ Rodríguez V Jornadas en Tecnología del Habla, 107-109, 2008 | 1 | 2008 |
| Posteriori Trust: Behavior Driven Trust on a Network Graph at Scale P Paulraj, E Hall, A Armenta, M Austin 2022 IEEE International Conference on Big Data (Big Data), 3969-3974, 2022 | | 2022 |
| Prevention of machine learning models scoring pitfalls in adversarial environments AA Prince Paulraj, Chinmay Abhyankar, Miasma Wasti ACM SIGKDD Workshop on Machine Learning and Finance, 2021 | | 2021 |
| Generalized Approach to Locality Sensitive Hashing and Learned Aggregation PP Arun Luthra, Edmond Abrahamian, Jean Luo, Ana Armenta 17th International Conference on Machine Learning and Data Mining MLDM 2021, 31, 2021 | | 2021 |
| Method and system for characterizing a user group AAL DE VICUÑA, AC Gonzalez, RP Gómez-Calcerrada, PC Carrasco, ... US Patent App. 15/102,770, 2016 | | 2016 |
| NUEVO MÓDULO DE ANÁLISIS PROSÓDICO DEL CONVERSOR TEXTO-VOZ MULTILINGÜE DE TELEFÓNICA I+ D MÁ Rodríguez, JG Escalada, A Armenta, JM Garrido | | |
| DESCRIPCIÓN DEL SISTEMA I DE TELEFÓNICA I+ D PRESENTADO A LA EVALUACIÓN ALBAYZIN’08 PARA CTV MÁ Rodríguez, JG Escalada, A Armenta | | |
| Computing Individual Mobility Profiles from Mobile Phone Usage Traces MÁ Rodríguez-Crespo, A Armenta, A Martín-Domínguez, ... | | |
