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of 9
pro vyhledávání: '"Faridee, Abu Zaher Md"'
Recent advancements in deep learning-based wearable human action recognition (wHAR) have improved the capture and classification of complex motions, but adoption remains limited due to the lack of expert annotations and domain discrepancies from user
Externí odkaz:
http://arxiv.org/abs/2410.17489
Autor:
Hasan, Zahid, Faridee, Abu Zaher Md, Ahmed, Masud, Purushotham, Sanjay, Kwon, Heesung, Lee, Hyungtae, Roy, Nirmalya
Novel Categories Discovery (NCD) aims to cluster novel data based on the class semantics of known classes using the open-world partial class space annotated dataset. As an alternative to the traditional pseudo-labeling-based approaches, we leverage t
Externí odkaz:
http://arxiv.org/abs/2307.03856
Autor:
Hasan, Zahid, Ahmed, Masud, Faridee, Abu Zaher Md, Purushotham, Sanjay, Kwon, Heesung, Lee, Hyungtae, Roy, Nirmalya
Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifying and differentiating instances of novel classes based on the labeled
Externí odkaz:
http://arxiv.org/abs/2304.07354
Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitoring, medication reminders, cognitive health assessment, sports analytic
Externí odkaz:
http://arxiv.org/abs/2304.06489
Autor:
Faridee, Abu Zaher Md, Gamper, Hannes
Deep noise suppressors (DNS) have become an attractive solution to remove background noise, reverberation, and distortions from speech and are widely used in telephony/voice applications. They are also occasionally prone to introducing artifacts and
Externí odkaz:
http://arxiv.org/abs/2204.06616
Publikováno v:
In Smart Health March 2022 23
Publikováno v:
In Smart Health March 2021 19
Autor:
Hasan, Zahid, Faridee, Abu Zaher Md, Ahmed, Masud, Purushotham, Sanjay, Kwon, Heesung, Lee, Hyungtae, Roy, Nirmalya
Novel Categories Discovery (NCD) tackles the open-world problem of classifying known and clustering novel categories based on the class semantics using partial class space annotated data. Unlike traditional pseudo-label and retraining, we investigate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df75c51b4c822d8e603188e3050e64eb
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
This article describes the development of an open-source morphological analyser for Bengali Language using finite-state technology. First we discuss the challenges of creating a morphological analyser for a highly inflectional language like Bengali a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a4e8dffa6e7699c170684b6b37563e38
https://hdl.handle.net/10045/12029
https://hdl.handle.net/10045/12029