Results 11 to 20 of about 8,422,143 (298)
A machine learning-based service for estimating quality of genomes using PATRIC
BMC Bioinformatics, 2019 Background Recent advances in high-volume sequencing technology and mining of genomes from metagenomic samples call for rapid and reliable genome quality evaluation.
Bruce Parrello +7 more
doaj +1 more source
A Socratic epistemology for verbal emotional intelligence [PDF]
PeerJ Computer Science, 2016 We describe and experimentally validate a question-asking framework for machine-learned linguistic knowledge about human emotions. Using the Socratic method as a theoretical inspiration, we develop an experimental method and computational model for ...
Abe Kazemzadeh +4 more
doaj +2 more sources
Human Mobility Monitoring in Very Low Resolution Visual Sensor Network
Sensors, 2014 This paper proposes an automated system for monitoring mobility patterns using a network of very low resolution visual sensors (30 × 30 pixels). The use of very low resolution sensors reduces privacy concern, cost, computation requirement and power ...
Nyan Bo Bo +13 more
doaj +1 more source
Turn-by-wire: Computationally mediated physical fabrication [PDF]
, 2019 Advances in digital fabrication have simultaneously created new capabilities while reinforcing outdated workflows that constrain how, and by whom, these fabrication tools are used.
Gupta Sidhant +6 more
core +1 more source
Effects of Missing Data on Heart Rate Variability Metrics
Sensors, 2022 Heart rate variability (HRV) has been studied for decades in clinical environments. Currently, the exponential growth of wearable devices in health monitoring is leading to new challenges that need to be solved.
Diego Cajal +5 more
doaj +1 more source
Re-interpreting rules interpretability
International Journal of Data Science and Analytics, 2022 Abstract Trustworthy machine learning requires a high level of interpretability of machine learning models, yet many models are inherently black-boxes. Training interpretable models instead—or using them to mimic the black-box model—seems like a viable solution. In practice, however, these interpretable models are still unintelligible
Adilova, L. +3 more
openaire +2 more sources
Interpretation of Bouguer Anomaly to Determine Fault and Subsurface Structure at Blawan-ijen Geothermal Area [PDF]
, 2016 Gravity survey has been acquired by Gravimeter Lacoste & Romberg G-1035 at Blawan-Ijen geothermal area. It was a focusing study from previous research.
Azhari, A. P. (Anjar) +2 more
core +1 more source
All of Low-Rank and Sparse: A Recast Total Variation Approach to Hyperspectral Denoising
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures.
Haijin Zeng +4 more
doaj +1 more source
Joint TDOA, FDOA and PDOA Localization Approaches and Performance Analysis
Remote Sensing, 2023 Multi-station joint localization has important practical significance. In this paper, phase difference of arrival (PDOA) information is introduced into the joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) localization ...
Jinzhou Li +7 more
doaj +1 more source
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
Knowledge and Information Systems, 2022 Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-box nature, it is often difficult to understand the prediction results of deep models.
Li, Xuhong +7 more
openaire +2 more sources