Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Eduardo M. Eisman"'
Autor:
Pablo Doncel, Pedro Garcia-Fernandez, David Crundall, Candida Castro, Petya Ventsislavova, Eduardo M. Eisman, José-Luis Padilla
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
instname
Distraction constitute one of the ‘five fatal’ behaviours that contribute to road trauma, and some people may be more susceptible to it than others. It is also known that a greater ability to predict danger is related to a lower probability of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fe752f6000b2f23328b91d08088d7e2
http://hdl.handle.net/10481/61809
http://hdl.handle.net/10481/61809
Autor:
David Crundall, Pedro Garcia-Fernandez, Candida Castro, Elsa Peña-Suárez, Petya Ventsislavova, Andres Gugliotta, Eduardo M. Eisman
Publikováno v:
Accident Analysis & Prevention. 91:43-54
The current study aims to obtain knowledge about the nature of the processes involved in Hazard Perception, using measurement techniques to separate and independently quantify these suspected sub-processes: Sensation, Situation Awareness (recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35c715f5f9561e8cb31510a9bf4387af
https://doi.org/10.1016/j.aap.2016.02.013
https://doi.org/10.1016/j.aap.2016.02.013
Autor:
Pedro Garcia-Fernandez, Eduardo M. Eisman, Petya Ventsislavova, Andres Gugliotta, Elsa Peña-Suárez, David Crundall, Candida Castro
Detecting danger in the driving environment is an indispensable task to guarantee safety which depends on the driver’s ability to predict upcoming hazards. But does correct prediction lead to an appropriate response? This study advances hazard perc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9365fe1b43024f1f9c14d1d42e38c6d
https://irep.ntu.ac.uk/id/eprint/30082/1/6689_Crundall.pdf
https://irep.ntu.ac.uk/id/eprint/30082/1/6689_Crundall.pdf
Publikováno v:
Knowledge-Based Systems. 53:108-128
Template-based approaches have proven to be one of the most efficient and robustest ways of addressing Question Answering problems. Templates embody the expert's knowledge on the domain and his/her ability to understand and answer questions, but desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86afa28a99d7310408a7c541b7cb228a
https://doi.org/10.1016/j.knosys.2013.08.018
https://doi.org/10.1016/j.knosys.2013.08.018
Autor:
Eduardo M. Eisman Cabeza, Juan Luis Castro Peña, José Manuel Zurita López, Victor Lopez Salazar
Publikováno v:
Expert Systems with Applications. 39:7330-7337
The process of Natural Language Generation for a Conversational Agent translates some semantic language to its surface form expressed in natural language. In this paper, we are going to show a Case Based Reasoning technique which is easily extensible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f48a8956e516afd1ff68734d8f6f96
https://doi.org/10.1016/j.eswa.2012.01.085
https://doi.org/10.1016/j.eswa.2012.01.085
Publikováno v:
Expert Systems with Applications. 39:3135-3144
Highlights? Virtual assistant framework that helps users find useful information in a website. ? It engages users in conversation using natural language, as real assistants. ? Users can omit some words if they are implicit in the conversation (contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f0f2704500eed7d6b368dc5cc1fd68
https://doi.org/10.1016/j.eswa.2011.08.177
https://doi.org/10.1016/j.eswa.2011.08.177
Publikováno v:
Expert Systems with Applications. 36:9698-9708
This paper presents an innovatory system for controlling the emotional state of an embodied conversational agent. Unlike other existing models, our system is fast adaptable to different application domains and it is highly interpretable. This will pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffa99fa9ddfffb668e44d5c342dc4fec
https://doi.org/10.1016/j.eswa.2009.02.015
https://doi.org/10.1016/j.eswa.2009.02.015
This paper describes the Multilingual Virtual Simulated Patient framework. It has been created to train the social skills and testing the knowledge of primary health care medical students. The framework generates conversational agents which perform i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46888d8f9a664d875c0a31ade60774ec