Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Maciej Jan Korzepa"'
Publikováno v:
Taborsky, P, Vermue, L, Korzepa, M & Morup, M 2021, ' The Bayesian Cut ', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 11, pp. 4111-4124 . https://doi.org/10.1109/TPAMI.2020.2994396
An important task in the analysis of graphs is separating nodes into densely connected groups with little interaction between each other. Prominent methods here include flow based graph cutting procedures as well as statistical network modeling appro
Autor:
Benjamin Johansen, Michael Kai Petersen, Maciej Jan Korzepa, Jan Larsen, Niels Henrik Pontoppidan, Jakob Eg Larsen
Publikováno v:
Computers, Vol 7, Iss 1, p 1 (2017)
The lack of individualized fitting of hearing aids results in many patients never getting the intended benefits, in turn causing the devices to be left unused in a drawer. However, living with an untreated hearing loss has been found to be one of the
Externí odkaz:
https://doaj.org/article/73a7c28fcdda48978a79ac1a53ce81d8
Publikováno v:
UMAP (Adjunct Publication)
Korzepa, M, Petersen, M K, Larsen, J E & Mørup, M 2020, Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids . in Adjunct Publication of the 28 th ACM Conference on User Modeling, Adaptation and Personalization . Association for Computing Machinery, pp. 293-298, 28th ACM International Conference on User Modeling, Adaptation, and Personalization, Genoa, Italy, 14/07/2020 . https://doi.org/10.1145/3386392.3399291
Korzepa, M, Petersen, M K, Larsen, J E & Mørup, M 2020, Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids . in Adjunct Publication of the 28 th ACM Conference on User Modeling, Adaptation and Personalization . Association for Computing Machinery, pp. 293-298, 28th ACM International Conference on User Modeling, Adaptation, and Personalization, Genoa, Italy, 14/07/2020 . https://doi.org/10.1145/3386392.3399291
Adjusting the settings of hearing aids in a clinic is challenging as the measured thresholds of audibility do not reflect many aspects of cognitive perception or the resulting differences in auditory preferences across different contexts. Online pers
Publikováno v:
UMAP (Adjunct Publication)
Patient-centric adaptation of audiological preferences across different contexts is a challenging task, as traditional clinical measurements of audibility do not reflect the cognitive perception of speech nor binaural loudness of sounds in different
Autor:
Michael Kai Petersen, Benjamin Johansen, Jakob Eg Larsen, Jan Larsen, Niels Henrik Pontoppidan, Maciej Jan Korzepa
Publikováno v:
UMAP (Adjunct Publication)
Despite the technological advancement of modern hearing aids, many users leave their devices unused due to little perceived benefit. This problem arises from the limitations of the current fitting procedure that rarely takes into account 1) the perce
Autor:
Jakob Eg Larsen, Maciej Jan Korzepa, Michael Kai Petersen, Benjamin Johansen, Niels Henrik Pontoppidan
Publikováno v:
Johansen, B, Korzepa, M J, Petersen, M K, Pontoppidan, N H & Larsen, J E 2018, Inferring User Intents from Motion in Hearing Healthcare . in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers . Association for Computing Machinery, pp. 670-675, 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, Singapore, Singapore, 08/10/2018 . https://doi.org/10.1145/3267305.3267683
UbiComp/ISWC Adjunct
UbiComp/ISWC Adjunct
Sensors in our phones and wearables, leave digital traces of our activities. With active user participation, these devices serve as personal sensing devices, giving insights to human behavior, thoughts, intents and personalities. We discuss how acous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6db48ffc39c5c735fbff2b83a9ac36e
https://orbit.dtu.dk/en/publications/6a7963ae-5752-474c-8a08-c14c7e262492
https://orbit.dtu.dk/en/publications/6a7963ae-5752-474c-8a08-c14c7e262492
Autor:
Michael Kai Petersen, Benjamin Johansen, Jan Larsen, Niels Henrik Pontoppidan, Maciej Jan Korzepa, Jakob Eg Larsen
Publikováno v:
Computers, Vol 7, Iss 1, p 1 (2017)
Computers; Volume 7; Issue 1; Pages: 1
Johansen, B, Petersen, M K, Korzepa, M J, Larsen, J, Henrik Pontoppidan, N & Larsen, J E 2017, ' Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data ', Computers, vol. 7, no. 1 . https://doi.org/10.3390/computers7010001
Computers; Volume 7; Issue 1; Pages: 1
Johansen, B, Petersen, M K, Korzepa, M J, Larsen, J, Henrik Pontoppidan, N & Larsen, J E 2017, ' Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data ', Computers, vol. 7, no. 1 . https://doi.org/10.3390/computers7010001
The lack of individualized fitting of hearing aids results in many patients never getting the intended benefits, in turn causing the devices to be left unused in a drawer. However, living with an untreated hearing loss has been found to be one of the
Autor:
Per Sandholm, Yannis Flet-Berliac, Maciej Jan Korzepa, Niels Henrik Pontoppidan, Michael Kai Petersen, Benjamin Johansen, Jakob Eg Larsen
Publikováno v:
Universal Access in Human–Computer Interaction. Human and Technological Environments ISBN: 9783319586991
HCI (9)
HCI (9)
Hearables are on the rise as next generation wearables, capable of streaming audio, modifying soundscapes or functioning as biometric sensors. The recent introduction of IoT (Internet of things) connected hearing instruments offer new opportunities f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1cc08d2b5964ec477a1343d9c09da5d
https://doi.org/10.1007/978-3-319-58700-4_4
https://doi.org/10.1007/978-3-319-58700-4_4
Autor:
Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan
Publikováno v:
Technical University of Denmark Orbit
Scopus-Elsevier
Korzepa, M J, Johansen, B, Petersen, M K, Larsen, J, Larsen, J E & Pontoppidan, N H 2018, Learning preferences and soundscapes for augmented hearing . in Proceedings of Intelligent User Interfaces . Association for Computing Machinery, 23rd International Conference on Intelligent User Interface, Tokyo, Japan, 07/03/2018 .
Scopus-Elsevier
Korzepa, M J, Johansen, B, Petersen, M K, Larsen, J, Larsen, J E & Pontoppidan, N H 2018, Learning preferences and soundscapes for augmented hearing . in Proceedings of Intelligent User Interfaces . Association for Computing Machinery, 23rd International Conference on Intelligent User Interface, Tokyo, Japan, 07/03/2018 .
Despite the technological advancement of modern hearing aids (HA), many users abandon their devices due to lack of personalization. This is caused by the limited hearing health care resources resulting in users getting only a default ’one size fits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::323a67212e84cdff67429c8b6004e195
https://orbit.dtu.dk/en/publications/4b32231d-7fd4-4bb8-b303-5e28cf138d5b
https://orbit.dtu.dk/en/publications/4b32231d-7fd4-4bb8-b303-5e28cf138d5b
Autor:
Benjamin Johansen, Maciej Jan Korzepa, Michael Kai Petersen, Pontoppidan, Niels H., Jakob Eg Larsen
Publikováno v:
Technical University of Denmark Orbit
Johansen, B, Korzepa, M J, Petersen, M K, Pontoppidan, N H & Larsen, J E 2018, ' Mapping auditory percepts into visual interfaces for hearing impaired users ' Paper presented at 2018 Conference on Human Factors in Computing Systems, Montréal, Canada, 21/04/2018-26/04/2018, .
Johansen, B, Korzepa, M J, Petersen, M K, Pontoppidan, N H & Larsen, J E 2018, ' Mapping auditory percepts into visual interfaces for hearing impaired users ' Paper presented at 2018 Conference on Human Factors in Computing Systems, Montréal, Canada, 21/04/2018-26/04/2018, .
Auditory-visual interfaces for hearing aid users have received limited attention in HCI research.We explore how to personalize audiological parameters by transforming auditory percepts into visual interfaces. In a pilot study (N = 10) we investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::04eec474a22c68cbf21c08d22ffcd575
https://orbit.dtu.dk/en/publications/21353f90-1a5e-4837-9146-c629899c6f89
https://orbit.dtu.dk/en/publications/21353f90-1a5e-4837-9146-c629899c6f89