Artículos JCR

  1. Maqueda, E. , Alvarez-Jimenez, J. , Mena, C. y Meza, I. : Triplet loss-based embeddings for forensic speaker identification in Spanish. Neural Computing and Applications, Special Issue on LatinX in AI Research.. pp. 1-10. 2021.
  2. Mager, M. y Meza, I. : Retos en construcción de traductores automáticos para lenguas indígenas de México. Digital Scholarship in the Humanities.. pp. 1-6. 2021.
  3. Hernández, C. , Meza, I. , Ramírez, J. y Herrera, J. : Algoritmos fonéticos para la detección de palabras fonéticamente similares en el español del centro de México. Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics.Vol. 33:1. pp. 140-170. 2020.
  4. Fuentes, G. y Meza, I. : Topic discovery in massive text corpora based on Min-Hashing. Expert Systems with Applications.Vol. 136. pp. 62-72. 2019.
  5. Mager, J. , Jasso, M. , Çetinoğlu, Ö. y Meza, I. : Low-resource neural character-based noisy text normalization. Journal of Intelligent & Fuzzy Systems.Vol. 36, num 5. pp. 4921-4929. 2019.
  6. Reyes, M. , Meza, I. y Pineda, L. : Robotics facial expression of anger in collaborative human–robot interaction. International Journal of Advanced Robotic Systems.Vol. January-February 2019. pp. 13. 2019.
  7. Rascon, C. , Meza, I. , Millan, A. , Velez, I. , Fuentes, G. , Mendoza, D. y Ruiz, O. : Acoustic interactions for robot audition: A corpus of real auditory scenes. The Journal of the Acoustical Society of America (EL399).Vol. 144, num 5. pp. 5. 2018.
  8. Mager, J. , Carrillo, D. y Meza, I. : Probabilistic Finite-State morphological segmenter for Wixarika (huichol) language. Journal of Intelligent & Fuzzy Systems.Vol. 38, num 5. pp. 3081-3087. 2018.
  9. Garcia, J. , Meza, I. , Colin, É. , Gardent, C. , Gangemi, A. y Pineda, L. : Robot experience stories: First person generation of robotic task narratives in SitLog. Journal of Intelligent & Fuzzy Systems.Vol. 38, num 5. pp. 3291-3300. 2018.
  10. Rascón, C. y Meza, I. : Localization of sound sources in robotics: A review. Robotics and Autonomous Systems.Vol. 96. pp. 184–210. 2017.
  11. Pineda, L. , Rodríguez, A. , Fuentes, G. , Rascón, C. y Meza, I. : A light non-monotonic knowledge-base for service robots. Intelligent Service Robotics.. pp. 159-171. 2017.
  12. Rascón, C. , Fuentes, G. y Meza, I. : Lightweight multi-DOA tracking of mobile speech sources. EURASIP Journal on Audio, Speech, and Music Processing.Vol. 11. pp. 16. 2015.
  13. Rascón, C. , Meza, I. , Fuentes, G. , Salinas, L. y Pineda, L. : Integration of the Multi-DOA Estimation Functionality to Human-Robot Interaction. International Journal of Advanced Robotic Systems.Vol. 12:8. pp. 1-154. 2015.
  14. Pineda, L. , Rodríguez, A. , Fuentes, G. , Rascón, C. y Meza, I. : Concept and Functional Structure of a Service Robot. International Journal of Advanced Robotic Systems.Vol. 12:6. pp. 1-15. 2015.
  15. Pineda, L. , Salinas, L. , Meza, I. , Rascón, C. y Fuentes, G. : SitLog: A Programming Language for Service Robot Tasks. International Journal of Advanced Robotic Systems.Vol. 10. pp. 1-12. 2013.

    16. Artículos indexados

  16. Zacarías, D. y Meza, I. : Traductor Automático Neuronal Ayuuk-Español. Research in Computer Science special issue: Proceedings of COMIA.. pp. 10. 2021.
  17. Mena, C. , Meza, I. y Herrera, A. : Automatic speech recognizers for Mexican Spanish and its open resources. Journal of Applied Research and Technology.Vol. 15:3. pp. 259-270. 2017.
  18. Meza, I. , Rascón, C. , Fuentes, G. y Pineda, L. : On Indexicality, Direction of Arrival of Sound Sources and Human-Robot Interaction. Journal of Robotics.Vol. 56. pp. 32. 2016.
  19. Jasso, G. y Meza, I. : Character and Word Baselines Systems for Irony Detection in Spanish Short Texts. Procesamiento del Lenguaje Natural.Vol. 56. pp. 41-48. 2016.
  20. Pineda, L. , Meza, I. , Avilés, H. , Gershenson, C. , Rascón, C. , Alvarado, M. y Salinas, L. : IOCA: Interaction-Oriented Cognitive Architecture. Research in Computer Science.Vol. 54. pp. 274-284. 2011.
  21. Venegas, E. , Meza, I. y Pineda, L. : Evaluation of a Dialogue System for Children based on an Interaction-Oriented Cognitive Architecture. Procesamiento del Lenguaje Natural.Vol. 46. pp. 113-120. 2011.
  22. Tapia, G. , Meza, I. y Pineda, L. : Language Models for Name Recognition in Spanish Spoken Dialogue System. Research in Computer Science.Vol. 49. pp. 145-154. 2010.
  23. Meza, I. , Pérez, E. , Salinas, L. , Avilés, H. y Pineda, L. : A Multimodal Dialogue System for Playing the Game “Guess the card”. Procesamiento del Lenguaje Natural.Vol. 44. pp. 131-138. 2010.
  24. Meza, I. y Pineda, L. : Syntax-driven bindings of Spanish clitic pronouns. Procesamiento del Lenguaje Natural.Vol. 35. pp. 253-258. 2005.
  25. Pineda, L. y Meza, I. : The spanish pronominal clitic system. Procesamiento del Lenguaje Natural.Vol. 34. pp. 34-71. 2005.
  26. Meza, I. y Pineda, L. : Un modelo para la perifrasis española y el sistema de pronombres cliticos en HSPG. Estudios de Linguistica Aplicada.Vol. 22:38. pp. 45-67. 2003.

    27. Memoria en congreso

  27. López, J. , Chalendar, G. , Garcia, J. , Charnois, T. y Meza, I. : GeSERA: General-domain Summary Evaluation by Relevance Analysis. Recent Advances in Natural Language Processing.. pp. 261-268. 2021.
  28. Alizadeh, P. , Garcia, J. y Meza, I. : Apprentissage par renforcement pour la recherche dexperts sur le web. Extraction et Gestion des Connaissances 2020.Vol. RNTI-E-36. pp. 261-268. 2020.
  29. Mager, J. , Gutierrez, X. , Sierra, G. y Meza, I. : Challenges of language technologies for the indigenous languages of the Americas. Proceedings of the 27th International Conference on Computational Linguistics.Vol. 1. pp. 55-69. 2018.
  30. Kann, K. , Mager, J. , Meza, I. y Schütze, H. : Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers).Vol. 1. pp. 47-57. 2018.
  31. Mager, J. , Barrón, C. y Meza, I. : Wixarika to Spanish Statistical Translation Based on Morphology using Scarce Resources. Proceedings of COMTEL 2016.Vol. 2276. pp. 63-68. 2016.
  32. Pineda, L. y Golem, G. : The Golem Team, RoboCup@Home 2013. Proceedings of RoboCup 2013.. pp. . 2013.
  33. Pineda, L. y Golem, G. : The Golem Team, RoboCup@Home 2012. Proceedings of RoboCup 2012.. pp. . 2012.
  34. Moya, E. , Hernández, M. , Pineda, L. y Meza, I. : Speech Recognition with Limited Resources for Children and Adult Speakers. Tenth Mexican International Conference on Artificial Intelligence - Special Session - Revised Papers.Vol. 2276. pp. 57-65. 2011.
  35. Pineda, L. y Golem, G. : The Golem Team, RoboCup@Home 2011. Proceedings of Robocup 2001.. pp. . 2011.
  36. Avilés, H. , Meza, I. , Aguilar, W. y Pineda, L. : Integrating pointing gestures into a spanish–spoken dialog system for conversational service robots. Proceedings of ICAART-2010.Vol. 2276. pp. 585-589. 2010.
  37. Meza, I. y Riedel, S. : Multilingual Semantic Role Labelling with Markov Logic. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task.. pp. 85-90. 2009.
  38. Meza, I. y Riedel, S. : Jointly identifying predicates, arguments and senses using Markov Logic. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics.. pp. 155-163. 2009.
  39. Riedel, S. y Meza, I. : Collective Semantic Role Labelling with Markov Logic. CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning.. pp. 193-197. 2008.
  40. Meza, I. , Riedel, S. y Lemon, O. : Accurate Statistical Spoken Language Understanding from Limited Development Resources. Proceedings of ICASSP-08.. pp. 5021-5024. 2008.
  41. Riedel, S. , Caciki, R. y Meza, I. : Multilingual Dependency Parsing with Incremental Integer Linear Programming. Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X).. pp. 226-230. 2006.
  42. Pineda, L. y Meza, I. : A Computational Model of the Spanish Clitic System. Actas del IX Simposio Internacional de Comunicación Social.. pp. 605-608. 2005.

    43. Lecture Notes

  43. Herrera-Contreras, A. , Sánchez, E. y Meza, I. : Twitter Opinion Analysis About Topic 5G Technology. Applied Technologies. ICAT 2019. Communications in Computer and Information Science.Vol. 1193. pp. 31-40. 2020.
  44. Monrraga, F. , Sánchez, E. y Meza, I. : Knee-Ankle Sensor for Gait Characterization: Gender Identification Case. Intelligent Computing Systems. ISICS 2018. Communications in Computer and Information Science.Vol. 820. pp. 31-40. 2018.
  45. Álvarez, M. , López, P. , Montes, M. , Villaseñor, L. y Meza, I. : Evaluating Topic-Based Representations for Author Profiling in Social Media. Advances in Artificial Intelligence - IBERAMIA 2016.Vol. 10022. pp. 151-162. 2016.
  46. Angel, C. , Villatoro, E. , Meza, I. y Ramirez, G. : From Dialogue Corpora to Dialogue Systems: Generating a Chatbot with Teenager Personality for Preventing Cyber-Pedophilia. Text, Speech, and Dialogue (19th International Conference, TSD 2016).Vol. 9924. pp. 531-539. 2016.
  47. Reyes, M. , Meza, I. y Pineda, L. : The Positive Effect of Negative Feedback in HRI Using a Facial Expression Robot. Cultural Robotics.Vol. 9549. pp. 44-54. 2016.
  48. Fuentes-Pineda, G. y Meza, I. : Sampled Weighted Min-Hashing for Large-Scale Topic Mining. Pattern Recognition, 7th Mexican Conference, MCPR 2015.Vol. 9116. pp. 203-213. 2015.
  49. Villarreal, T. , Rascon, C. y Meza, I. : Emotion Based Features of Bird Singing for Turdus migratorius Identification. Proceedings MICAI 2013. LNCS (LNAI).Vol. 8266. pp. 521-530. 2013.
  50. Meza, I. , Rascon, C. y Pineda, L. : Practical Speech Recognition for Contextualized Service Robots. Proceedings MICAI 2013. LNCS (LNAI).Vol. 8266. pp. 423-434. 2013.
  51. Fabian, A. , Hernández, M. , Pineda, L. y Meza, I. : Contextual Semantic Processing for a Spanish Dialogue System Using Markov Logic. Proceedings MICAI 2011. LNCS (LNAI).Vol. 7094. pp. 258-266. 2011.
  52. Meza, I. , Salinas, L. , Venegas, E. , Hayde, C. , Alejandra, C. y Pineda, L. : Specification and Evaluation of a Spanish Conversational System Using Dialogue Models. Proceedings IBERAMIA 2010. LNCS (LNAI).Vol. 6433. pp. 346-355. 2010.
  53. Pineda, L. , Meza, I. y Salinas, L. : Dialogue Model Specification and Interpretation for Intelligent Multimodal HCI. Proceedings IBERAMIA 2010. LNCS (LNAI).Vol. 6433. pp. 20-29. 2010.
  54. Avilés, H. , Alvarado, M. , Venegas, E. , Rascón, C. , Meza, I. y Pineda, L. : Development of a Tour-Guide Robot Using Dialogue Models and a Cognitive Architecture. Proceedings IBERAMIA 2010. LNCS (LNAI).Vol. 6433. pp. 512-521. 2010.
  55. Pineda, L. , Castellanos, H. , Coria, S. , Estrada, V. , López, F. , López, I. , Meza, I. , Moreno, I. , Pérez, P. y Rodríguez, C. : Balancing Transactions in Practical Dialogues. Proceedings CICLing 2006. LNCS.Vol. 3878. pp. 331-342. 2006.
  56. Pineda, L. y Meza, I. : A Computational Model of the Spanish Clitic System. Proceedings CICLing 2005. LNCS.Vol. 3406. pp. 73-82. 2005.
  57. Pineda, L. , Masse, A. , Meza, I. , Salas, M. , Schwarz, E. , Uraga, E. y Villaseñor, L. : The Dime project. Proceedings of MICAI 2002, LNCS (LNAI).Vol. 2313. pp. 85-94. 2002.
  58. Meza, I. y Pineda, L. : The Spanish Auxiliary Verb System in HPSG. Proceedings CICLING 2002, LNCS 2276.Vol. 2276. pp. 200-209. 2002.

    59. Capítulo en libro

  59. Meza, I. , Mager, M. y Flores, J. : Traductores Wixárika-Español. Procesamiento de Lenguaje Natural para las Lenguas Indígenas.. pp. 173-184. 2021.
  60. Meza, I. , Cáceres, E. , López, C. , Aguilar, P. y Garcia, M. : Extracción automática de información jurídica de sentencias. MADIC a cinco años de su creación: pasado presente y futuro.Vol. 1. pp. 41-60. 2019.
  61. Meza, I. y Pineda, L. : Pronominal clitic composition and subsumption spanish. Linguistics in the twenty first century.Vol. 2276. pp. 299-306. 2006.

    62. Memoria en taller

  62. Zacarías, D. y Meza, I. : Ayuuk-Spanish Neural Machine Translator. Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas.. pp. 168-172. 2021.
  63. Mager, M. , Oncevay, A. , Ebrahimi, A. , Ortega, J. , Rios, A. , Fan, A. , Gutierrez-Vasques, X. , Chiruzzo, L. , Giménez, G. , Ramos, R. , Meza, I. , Coto, R. , Palmer, A. , Mager-Hois, E. , Chaudhary, V. , Neubig, G. , Thang, N. , Kann, K. y Meza, I. : Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas. Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas.. pp. 202-217. 2021.
  64. Lopez, J. , Chalendar, G. , Charnois, T. , Garcia, J. y Meza, I. : Saucissonnage of Long Sequences into a Multi-encoder for Neural Text Summarization with Transformers. Proceedings Deep Learning pour le traitement automatique des langues EGC 2021.. pp. 13. 2021.
  65. Mager, J. , Mager, E. , Medina-Urrea, A. , Meza, I. y Kann, K. : Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages. Proceedings of the Workshop on Computational Modeling of Polysynthetic Languages.Vol. 1. pp. 73–83. 2018.
  66. Murrieta, H. y Meza, I. : NeuroSign: a Seq2Seq Model Proposal for Sign Language Translation. WiNLP 2018 Workshop (co-located with NAACL).. pp. 4. 2018.
  67. Kann, K. , Mager, J. , Meza, I. y Schütze, H. : Neural Morphological Segmentation for Polysynthetic Minimal-Resource Languages. WiNLP 2018 Workshop (co-located with NAACL).. pp. 3. 2018.
  68. Arroyo, I. , Meza, I. y Méndez, C. : UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Atribute Identification in Neural Word Embedding Cones. Proceedings of The 12th International Workshop on Semantic Evaluation.. pp. 977-984. 2018.
  69. Kann, K. , Mager, J. , Meza, I. y Schütze, H. : Improving Neural Morphological Segmentation for Polysynthetic Minimal-Resource Languages. LLD Workshop 2017 (NIPS).. pp. 4. 2017.
  70. Mager, J. , Carrillo, D. y Meza, I. : WixNLP: Probabilistic Finite-State morphological analyzer for Wixarika language. WiNLP 2017 Workshop (co-located with ACL).. pp. 1. 2017.
  71. Arroyo, I. y Meza, I. : LIPN-IIMAS at SemEval-2017 Task 1: Subword embeddings, attention recurrent neural networks and cross word alignment for semantic textual similarity. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2017).. pp. 208-212. 2017.
  72. Meza, I. , Garcia-Flores, J. , Gangemi, A. y Pineda, L. : Towards narrative generation of spatial experiences in service robots. Proceedings of IJCAI 2016 WS Autonomous Mobile Service Robots.. pp. 4. 2016.
  73. Lightgow, O. , Meza, I. , Orozco, A. , Garcia-Flores, J. y Buscaldi, D. : LIPN-IIMAS at SemEval-2016 Task 1: Random Forest Regression Experiments on Align-and-Differentiate and Word Embeddings penalizing strategies. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016).. pp. 726-731. 2016.
  74. Reyes, M. , Meza, I. y Pineda, L. : The Positive Effect of Negative Feedback in HRI Using a Facial Expression Robot. Social HRI: Overcoming Barriers Through Appearance, Behaviour and Context-Based Design.. pp. 4. 2015.
  75. Meza, I. , Espino, A. , Solano, F. y Villarreal, T. : A Fast Baseline System for Large Scale Bird Identification. CLEF2015 Working Notes.. pp. 4. 2015.
  76. Gutierrez, J. , Casillas, J. , Ledesma, P. , Fuentes, G. y Meza, I. : Homotopy Based Classification for Author Verification Task. CLEF2015 Working Notes.. pp. 6. 2015.
  77. Palomino, A. , Camacho, A. , Fierro, R. , Hernandez, I. , Buscaldi, D. y Meza, I. : A Random Forest Approach for Authorship Profiling . CLEF2015 Working Notes.. pp. 8. 2015.
  78. Buscaldi, D. , Flores, J. , Meza, I. y Rodriguez, I. : SOPA: Random Forests Regression for the Semantic Textual Similarity task. Proceedings of SemEval-2015.. pp. 132--137. 2015.
  79. Martinez, R. , Silva, L. , Villarreal, T. , Fuentes, G. y Meza, I. : SVM Candidates and Sparse Representation for Bird Identification. Working Notes for CLEF 2014 Conference .. pp. 662-669. 2014.
  80. Mayor, C. , Gutierrez, J. , Toledo, A. , Martinez, R. , Ledesma, P. , Fuentes, G. y Meza, I. : A Single Author Style Representation for the Author Verification Task. Working Notes for CLEF 2014 Conference .. pp. 1079-1083. 2014.
  81. Ledesma, P. , Fuentes, G. , Jasso, G. , Toledo, A. y Meza, I. : Distance Learning for Author Verification. CLEF 2013 Evaluation Labs and Workshop, Abstracts - Online Working Notes.. pp. 8. 2013.
  82. Meza, I. , Riedel, S. y Lemon, O. : Spoken Language Understanding in Dialogue Systems, Using a 2-layer Markov Logic Network: Improving Semantic Accuracy. Late Breaking Abstracts of Londial '08: Workshop on the Semantics and Pragmatics of Dialogue'.. pp. . 2008.
  83. Meza, I. y Lemon, O. : Using Dialogue Context to Improve Parsing Performance in Dialogue Systems. Proceedings of IWCS-6.. pp. 21-27. 2005.
  84. Meza, I. y Pineda, L. : Un modelo para la integracion de verbos auxiliares y pronombres cliticos del espanol en HSPG. memories of workshop Multilingual Information Access and Natural Language Processing Iberamia-2002.. pp. . 2002.
  85. Pineda, L. , Masse, A. , Meza, I. , Salas, M. , Schwarz, E. , Uraga, E. y Villaseñor, L. : El proyecto DIME. Proceedings of Second International Workshop in SLPLT.. pp. 41-45. 2001.

    86. Resúmenes

  86. Meza, I. y Maqueda, E. : Identificación forense de hablantes en español usando triplet loss. Congreso Estudiantil de Inteligencia Artificial Aplicada a la Ingeniería y Tecnología.. pp. 2. 2020.
  87. Maqueda, E. , Álvarez, J. y Meza, I. : Towards forensic speaker identification in Spanish using triplet loss. LatinX in AI Research at NeurIPS 2020.. pp. 2. 2020.
  88. Murrieta, H. , Meza, I. , Alizadeh, P. y García, J. : Towards Identifying for Evidence of Drain Brain fromWeb Search Results using Reinforcement Learning. LatinX in AI Research at NeurIPS 2019.. pp. 3. 2019.
  89. Jasso, M. , Mager, M. y Meza, I. : Towards a twitter corpus of the indigenous languages of the Americas. Latin American and Iberian Languages Open Corpora Forum 2019.. pp. 2. 2019.
  90. Villarreal, E. , Bastida, P. , Hevia, N. y Meza, I. : FlaminGo! Conteo automatizado de aves a partir de imágenes obtenidas de drones: consideraciones y evaluación. XVI Congreso para el estudio y conservación de las aves en México.. pp. 46. 2018.
  91. Mager, M. , Carrillo, D. y Meza, I. : The Wixarika-Spanish Parallel Corpus. Latin American and Iberian Languages Open Corpora Forum 2018.. pp. 2. 2018.
  92. Meza, I. , Mager, M. , Flores, J. , Tomeh, N. y Amador, J. : Traducción automática de las lenguas indígenas de México basada en aprendizaje profundo. Primer Coloquio del Centro Virtual de Computación, UNAM.. pp. 108-110. 2018.
  93. Mager, M. y Meza, I. : Hacia la Traducción Automática de las Lenguas Indígenas de México. Digital Humanities 2018 Puentes-Bridges Book of Abstracts.. pp. 637-639. 2018.
  94. Caceres, E. y Meza, I. : Steps Towards a Computational Visualizer of Legal Globalization as a Complex Adaptive Network. Booklet for the Conference on Complex Systems 2017.. pp. 1. 2017.
  95. Meza, I. , Aguilar, P. , García-Constantino, M. , López, C. y Caceres, E. : Extracción de red de conectividad: Caso sentencias de la Corte Interamericana de Derechos Humanos. 1er Simposio- seminario internacional sobre tecnologías del lenguaje humano en las ciencias sociales: experiencias en investigación aplicada.. pp. 2. 2017.
  96. Villarreal, T. , Meza, I. y Rascón, C. : Identificación del canto del Turdus migratorius utilizando un modelo acústico, estadístico y computacional. XII Congreso para el estudio y conservación de las aves en México (CECAM).. pp. 80. 2013.
  97. Ledesma, P. , Fuentes, G. , Jasso, G. , Toledo, A. y Meza, I. : Distance Learning for Author Verification. CLEF 2013 Evaluation Labs and Workshop, Abstracts - Working Notes.. pp. 99. 2013.

    98. Reportes técnicos

  98. Pozo, C. , Trejo, S. , Ferreira, R. , Campo, A. y Meza, I. : Ética. Agenda Nacional Mexicana de Inteligencia Artificial.. pp. 44-75. 2020.
  99. Meza, I. : Hacia análisis de voz forense basado deep learning. Proyecto PAPIIT IA40151, Responsable: Dra. Fernanda López Escobedo.. pp. 10. 2019.
  100. Jasso, G. , Hernández, F. , Mora, A. y Meza, I. : Verificación de ironía en textos cortos. Reporte técnico, RTTL.. pp. 4. 2016.
  101. Pineda, L. , Rascon, C. , Fuentes, G. , Estrada, V. , Rodriguez, A. , Meza, I. , Ortega, H. , Reyes, M. , Peña, M. , Duran, J. , Campos, E. , Chimal, S. y Orozco, A. : The Golem Team, RoboCup@Home 2014. Reporte técnico, DCC, IIMAS, UNAM.. pp. 8. 2014.
  102. Pineda, L. , Meza, I. , Venegas, E. , Salinas, L. , Pérez, E. , Castellanos, H. , Chavarría, A. , Avilés, H. y Rascón, C. : El proyecto Golem-Universum: Adivina la carta. Reporte técnico, DCC, IIMAS, UNAM.. pp. 56. 2012.
  103. Lemon, O. , Georgila, K. , Henderson, J. , Gabsdil, M. , Meza, I. y Young, S. : D4.1: Integration of Learning and Adaptivity with the ISU approach. Technical report, TALK Project.. pp. . 2005.
  104. Pineda, L. y Meza, I. : Una gramática básica del español en HPSG. Reporte técnico, DCC, IIMAS, UNAM.. pp. . 2003.

    105. Divulgación

  105. Herrera-Contreras, A. , Sánchez, E. , Meza, I. y Fuentes-Ramos, M. : SASTuit, software de análisis de sentimiento utilizando aprendizaje automático. Komputer Sapiens.. pp. 42-47. 2021.
  106. Trejo, S. , López, F. , Meza, I. y González-(Ilustrador), G. : ¿Quién controla los sistemas de Inteligencia Artificial?. Anfibia.. pp. 20. 2021.