Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth
ASM Science Journal, 2021 In the edge where conversation merely involves online chatting and texting one another, an automated conversational agent is needed to support certain repetitive tasks such as providing FAQs, customer service and product recommendations.
Suraya Alias
doaj +1 more source
Sensors, 2023 Predictive maintenance in the car industry is an active field of research for machine learning and anomaly detection. The capability of cars to produce time series data from sensors is growing as the car industry is heading towards more connected and ...
Yann Cherdo +3 more
doaj +1 more source
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAn increasing availability of remote sensing data in the era of geo big-data makes producing well-represented, reliable training data to be more challenging and requires an excessive amount of human labor.
Benyamin Hosseiny +5 more
doaj +1 more source
Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos
Journal of Imaging, 2020 In this work, a novel algorithmic scheme is developed that processes echocardiogram videos, and tracks the movement of the mitral valve leaflets, and thereby estimates whether the movement is symptomatic of a healthy or diseased heart.
Kazi Tanzeem Shahid, Ioannis Schizas
doaj +1 more source
A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
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Meta-Unsupervised-Learning: A supervised approach to unsupervised learning
CoRR, 2016 22 ...
Vikas K. Garg 0001, Adam Tauman Kalai
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Exploring the use of topological data analysis to automatically detect data quality faults
Frontiers in Big Data, 2022 Data quality problems may occur in various forms in structured and semi-structured data sources. This paper details an unsupervised method of analyzing data quality that is agnostic to the semantics of the data, the format of the encoding, or the ...
M. Eduard Tudoreanu
doaj +1 more source
Unsupervised Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction [PDF]
, 2010 Hidden Markov model (HMM)-based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...
Matthew Gibson, William Byrne
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burkh4rt/Unsupervised-Multimodal-Trajectory-Modeling: 2023.1
, 2023 as released: https://pypi.org/project/unsupervised-multimodal-trajectory-modeling/2023 ...
Michael Burkhart
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Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source