Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Liem, C.C.S."'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Samiotis, I.P., Lofi, C., Alaka, Shaad, Liem, C.C.S., Bozzon, A., Laforest, F., Troncy, R., Médini, L., Herman, I.
Publikováno v:
WWW 2022-Companion Proceedings of the Web Conference 2022
In this demo we present Scriptoria, an online crowdsourcing system to tackle the complex transcription process of classical orchestral scores. The system’s requirements are based on experts’ feedback from classical orchestra members. The architec
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Yildiz, B., Hung, H.S., Krijthe, J.H., Liem, C.C.S., Loog, M., Migut, M.A., Oliehoek, F.A., Panichella, A., Pawełczak, Przemysław, Picek, S., de Weerdt, M.M., van Gemert, J.C., Kerautret, Bertrand, Colom, Miguel, Krähenbühl, Adrien, Lopresti, Daniel, Monasse, Pascal, Talbot, Hugues
Publikováno v:
Reproducible Research in Pattern Recognition-3rd International Workshop, RRPR 2021, Revised Selected Papers
Reproducible Research in Pattern Recognition ISBN: 9783030764227
RRPR
Reproducible Research in Pattern Recognition ISBN: 9783030764227
RRPR
We present ReproducedPapers.org : an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI resea
Autor:
Liem, C.C.S., Langer, Markus, Demetriou, A.M., Hiemstra, Annemarie M.F., Achmadnoer Sukma Wicaksana, Sukma, Born, Marise Ph., König, Cornelis J., Jair Escalante, H., Escalera, S., Guyon, I., Baró, X., Güçlütürk, Y
Publikováno v:
Explainable and Interpretable Models in Computer Vision and Machine Learning
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307
The Springer Series on Challenges in Machine Learning, 197-253
STARTPAGE=197;ENDPAGE=253;TITLE=The Springer Series on Challenges in Machine Learning
The Springer Series on Challenges in Machine Learning ISBN: 9783319981307
The Springer Series on Challenges in Machine Learning, 197-253
STARTPAGE=197;ENDPAGE=253;TITLE=The Springer Series on Challenges in Machine Learning
In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce6b69f38b86ed313eb5232dc93916c
Autor:
Liem, C.C.S., Mostert, C.
Publikováno v:
Proceedings of the 21st International Society for Music Information Retrieval Conference
Copyright restrictions prevent the widespread sharing of commercial music audio. Therefore, the availability of resharable pre-computed music audio features has become critical. In line with this, the AcousticBrainz platformoffers a dynamically growi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::499ea4d80d2eec1a77d02d2d0507419c
http://resolver.tudelft.nl/uuid:c51c8c54-8990-419c-a7e5-9260dc6571dc
http://resolver.tudelft.nl/uuid:c51c8c54-8990-419c-a7e5-9260dc6571dc
Autor:
König, Cornelius J., Demetriou, A.M., Glock, Philipp, Hiemstra, Annemarie M. F., Iliescu, Dragos, Ionescu, Camelia, Langer, Markus, Liem, C.C.S., Linnenbürger, Anja
Publikováno v:
Personnel Assessment and Decisions, 6(1)
This article is based on conversations from the project “Big Data in Psychological Assessment” (BDPA) funded by the European Union, which was initiated because of the advances in data science and artificial intelligence that offer tremendous oppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::65913503bdd723c5c0d87321217ef9f2
http://resolver.tudelft.nl/uuid:e0b5257e-a916-47f8-bcda-3f340cae29f7
http://resolver.tudelft.nl/uuid:e0b5257e-a916-47f8-bcda-3f340cae29f7
Autor:
Abderrazik, Hiba, Angela, Giovan, Brouwer, Hans, Janse, Henky, Lutz, Sterre, Smitskamp, Gwennan, Manolios, S., Liem, C.C.S., Brusilovsky, Peter, de Gemmis, Marco, Felfernig, Alexander, Lops, Pasquale, O’Donovan, John, Semeraro, Giovanni, Willemsen, Martijn C.
Publikováno v:
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019)
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019
Music is often both personally and affectively meaningful to human listeners. However, little work has been done to create music recommender systems that take this into account. In this demo proposal, we present Spotivibes: a first prototype for a ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::7a06da3b248057fc4fa1eb2f8a1810d2
http://resolver.tudelft.nl/uuid:dd3ef4d6-2917-48ac-9e87-ec5ee8f04c94
http://resolver.tudelft.nl/uuid:dd3ef4d6-2917-48ac-9e87-ec5ee8f04c94
Autor:
Rijlaarsdam, Matthijs, Scholten, Sebastiaan, Liem, C.C.S., Shalom, Oren Sar, Jannach, Dietmar, Guy, Ido
Publikováno v:
ImpactRS 2019 Impact of Recommender Systems 2019: Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)
ImpactRS 2019 Impact of Recommender Systems 2019
ImpactRS 2019 Impact of Recommender Systems 2019
Recommender systems can be useful in group settings, e.g. when choosing a movie to watch with a group. However, while considerable research in group recommendation has been performed, we still lack truly ecological datasets on group recommendations i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::6939d52ef4b70c3f87dbd54827812822
http://resolver.tudelft.nl/uuid:7c9bd078-ab50-4f9b-a94d-cc4322f8acfa
http://resolver.tudelft.nl/uuid:7c9bd078-ab50-4f9b-a94d-cc4322f8acfa
Publikováno v:
ICMR
Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017, 192-200. New York : ACM
STARTPAGE=192;ENDPAGE=200;TITLE=Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017
Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017, pp. 192-200
Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017, 192-200. New York : ACM
STARTPAGE=192;ENDPAGE=200;TITLE=Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017
Ionescu, B. (ed.), ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, Bucharest, Romania — June 06-09, 2017, pp. 192-200
In this paper, we address the challenge of identifying music suitable to accompany typical daily activities. We first derive a list of common activities by analyzing social media data. Then, an automatic approach is proposed to find music for these a