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[In Press] Cross-clause planning in Nungon (Papua New Guinea) : eye-tracking evidence
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The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data : a systematic review
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Music perception abilities and ambiguous word learning : is there cross-domain transfer in nonmusicians?
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Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks
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Abstract:
Metal oxide (MOx) gas sensors are a popular choice for many applications, due to their tunable sensitivity, space efficiency and low cost. Publicly available sensor datasets are particularly valuable for the research community as they accelerate the development and evaluation of novel algorithms for gas sensor data analysis. A dataset published in 2013 by Vergara and colleagues contains recordings from MOx gas sensor arrays in a wind tunnel. It has since become a standard benchmark in the field. Here we report a latent property of this dataset that limits its suitability for gas classification studies. Measurement timestamps show that gases were recorded in separate, temporally clustered batches. Sensor baseline response before gas exposure were strongly correlated with the recording batch, to the extent that baseline response was largely sufficient to infer the gas used in a given trial. Zero-offset baseline compensation did not resolve the issue, since residual short-term drift still contained enough information for gas/trial identification using a machine learning classifier. A subset of the data recorded within a short period of time was minimally affected by drift and suitable for gas classification benchmarking after offset-compensation, but with much reduced classification performance compared to the full dataset. We found 18 publications where this dataset was used without precautions against the circumstances we describe, thus potentially overestimating the accuracy of gas classification algorithms. These observations highlight potential pitfalls in using previously recorded gas sensor data, which may have distorted widely reported results.
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Keyword:
XXXXXX - Unknown
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URL: https://doi.org/10.1016/j.snb.2022.131668 https://hdl.handle.net/1959.7/uws:63383
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Physical activity interventions among culturally and linguistically diverse populations : a systematic review
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Oral cancer risk behaviours of Indian immigrants in Australia : a qualitative study
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Early critical thinking in a Mandarin-speaking child : an exploratory case study
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No evidence for language benefits in infant relational learning
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Hearing loss prevalence and years lived with disability, 1990–2019 : findings from the Global Burden of Disease Study 2019
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Instructing Malaysian children with HFASD in English as a second language
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Enhanced forensic speaker verification performance using the ICA-EBM algorithm under noisy and reverberant environments
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Japanese perceptual epenthesis is modulated by transitional probability
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Babies detect when the timing is right : evidence from event-related potentials to a contingent mother-infant conversation
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Perceptual assimilation of regionally accented Mandarin lexical tones by native Beijing Mandarin listeners
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Vocal interaction during rhythmic joint action stabilizes interpersonal coordination and individual movement timing
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Constructing Hungarian 'good-will ambassadors' : the collaborative soft power efforts of Hungary's Balassi Institute and the Hungarian community in Australia
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[In Press] The Italian Roots in Australian Soil (IRIAS) multilingual speech corpus : speech variation in two generations of Italo-Australians
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Lexical and morphological development : a case study of Malay English bilingual first language acquisition
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Clinical practices of speech-language pathologists working with 12- to 16-year olds in Australia
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