@inproceedings{ai4se2020,
author={Eduardo Cibrián and Jose María Alvarez-Rodríguez and Valentín Moreno and Juan de Meer},
title={{Artificial Intelligence and Machine Learning for commercial analysis in the audiovisual sector: a case study of designing TV schedules (Accepted)}},
booktitle={{INCOSE Artificial Intelligence for Systems Engineering (AI4SE) Workshop}},
year={2019},
pages={},
url={{}},
isbn={}
}

{"_id":"mNETZ49iwuguupGZP","bibbaseid":"cibrin-alvarezrodrguez-moreno-demeer-artificialintelligenceandmachinelearningforcommercialanalysisintheaudiovisualsectoracasestudyofdesigningtvschedulesaccepted-2019","authorIDs":[],"author_short":["Cibrián, E.","Alvarez-Rodríguez, J. M.","Moreno, V.","de Meer, J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Eduardo"],"propositions":[],"lastnames":["Cibrián"],"suffixes":[]},{"firstnames":["Jose","María"],"propositions":[],"lastnames":["Alvarez-Rodríguez"],"suffixes":[]},{"firstnames":["Valentín"],"propositions":[],"lastnames":["Moreno"],"suffixes":[]},{"firstnames":["Juan"],"propositions":["de"],"lastnames":["Meer"],"suffixes":[]}],"title":"Artificial Intelligence and Machine Learning for commercial analysis in the audiovisual sector: a case study of designing TV schedules (Accepted)","booktitle":"INCOSE Artificial Intelligence for Systems Engineering (AI4SE) Workshop","year":"2019","pages":"","url":"","isbn":"","bibtex":"@inproceedings{ai4se2020,\nauthor={Eduardo Cibrián and Jose María Alvarez-Rodríguez and Valentín Moreno and Juan de Meer},\ntitle={{Artificial Intelligence and Machine Learning for commercial analysis in the audiovisual sector: a case study of designing TV schedules (Accepted)}},\nbooktitle={{INCOSE Artificial Intelligence for Systems Engineering (AI4SE) Workshop}},\nyear={2019},\npages={},\nurl={{}},\nisbn={}\n}\n\n\n","author_short":["Cibrián, E.","Alvarez-Rodríguez, J. M.","Moreno, V.","de Meer, J."],"key":"ai4se2020","id":"ai4se2020","bibbaseid":"cibrin-alvarezrodrguez-moreno-demeer-artificialintelligenceandmachinelearningforcommercialanalysisintheaudiovisualsectoracasestudyofdesigningtvschedulesaccepted-2019","role":"author","urls":{"Paper":"https://raw.githubusercontent.com/sa-mooc-uc3m/mooc-research-public/master/trunk/bibtex/chema.bib"},"metadata":{"authorlinks":{}},"downloads":1},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/sa-mooc-uc3m/mooc-research-public/master/trunk/bibtex/chema.bib","creationDate":"2019-10-21T10:30:59.245Z","downloads":1,"keywords":[],"search_terms":["artificial","intelligence","machine","learning","commercial","analysis","audiovisual","sector","case","study","designing","schedules","accepted","cibrián","alvarez-rodríguez","moreno","de meer"],"title":"Artificial Intelligence and Machine Learning for commercial analysis in the audiovisual sector: a case study of designing TV schedules (Accepted)","year":2019,"dataSources":["KWj4zjrb2ijPcS3uM"]}