Making More with Less: Improving Software Testing Outcomes Using a Cross-Project and Cross-Language ML Classifier Based on Cost-Sensitive Training by Nascimento, Alexandre M., Shimanuki, Gabriel Kenji G., Dias, Luiz Alberto V.

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A 9-bit, 1.08ps resolution two-step time-to-digital converter in 65 nm CMOS for time-mode ADC by Kong, Junjie, Henzler, Stephan, Schmitt-Landsiedel, Doris, Siek, Liter

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Ambiguity Aversion and Household Portfolio Choice Puzzles: Empirical Evidence by Dimmock, Stephen Geoffrey, Kouwenberg, Roy, Mitchell, Olivia S., Peijnenburg, Kim

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IDE: A System for Iterative Mislabel Detection by Deng, Yuhao, Deng, Qiyan, Chai, Chengliang, Cao, Lei, Tang, Nan, Fan, Ju, Wang, Jiayi, Yuan, Ye, Wang, Guoren

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Feasibility of healthcare providers' autonomic activation recognition in real-life cardiac surgery using noninvasive sensors by Kennedy-Metz, Lauren R., Bizzego, Andrea, Dias, Roger D., Furlanello, Cesare, Esposito, Gianluca, Zenati, Marco A.

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Towards semantic, debiased and moment video retrieval by Satar, Burak

Subjects: “…Causal inference for temporal bias…”
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Incomplete phase metasurface for wavefront reconstruction by Liu, Qiyao, Liu, Zhengtong, Ma, Xuezhi, Deng, Jie, Zhang, Chen, Chen, Zhenmin, Nemati, Arash, Ng, Sui Kit, Gorelik, Sergey, Teo, Siew Lang, Ji, Rong, Zhao, Meng, Gonzaga, Leonard Verano, Liu, Hong, Yue, Fuyong, Yu, Shaohua, Luo, Yu, Wang,Qian

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16.863J / ESD.863J System Safety, Spring 2011 by Leveson, Nancy

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16.63J / ESD.03J System Safety, Fall 2012 by Leveson, Nancy, Thomas, John P.

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Inflammation of the nasal mucosa is associated with susceptibility to experimental pneumococcal challenge in older adults by Urban, BC, Gonçalves, ANA, Loukov, D, Passos, FM, Reiné, J, Gonzalez-Dias, P, Solórzano, C, Mitsi, E, Nikolaou, E, O'Connor, D, Collins, AM, Adler, H, Pollard, A, Rylance, J, Gordon, SB, Jochems, SP, Nakaya, HI, Ferreira, DM

When a test is more than just a test: findings from patient interviews and survey in the trial of a technology to measure antidepressant medication response (the PReDicT Trial) by Brown, S, Ploeger, C, Guo, B, Petersen, JJ, Beckenstrom, AC, Browning, M, Dawson, GR, Deckert, J, Dias, R, Dourish, CT, Gorwood, P, Kingslake, J, Menke, A, Sola, VP, Reif, A, Ruhe, H, Simon, J, Stäblein, M, van Schaik, A, Veltman, DJ, Morriss, R, PReDicT Group

PlomBOX: a low cost bioassay for the sensitive detection of lead in drinking water by Dias, A, Alvarez, M, Gándola, Y, Deisting, A, Alba Posse, E, Arnaldi, H, Asorey, H, Bertou, X, Colque, A, Favela-Pérez, F, Gasulla, J, Gómez Berisso, M, Guerra-Pulido, JO, Lipovetzky, J, Lobera, J, Lovino, MB, Marpegan, L, Martín, D, Mejía Muñoz, S, Monroe, J, Nadra, AD, Pregliasco, R, Rumi, G, Rossen, A

Rethinking Singapore-Sino relations : prospects and perils of China’s regional multilateralism for Singapore by Zhang, Suzie Suyi

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Mitigation of the anchoring effect in an electronic audit setting. by Chen, Yingtong., Li, Si En., Loong, Hui Jiun.

“…Forewarning failed to mitigate the bias, but an additional reminder to the forewarning successfully attenuated the bias.…”
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Genotype-phenotype maps for gene networks: from evolution to computation by Camargo, FQ

“…We find that these maps show a strong bias towards simple phenotypes, a pattern known as <em>simplicity bias</em>. …”

Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing by Zhang, Lu, Tang, Xueyan, He, Bingsheng

“…In this paper, we study the interaction times of continuous Distributed Interactive Applications (DIAs) in which the application states change due to not only user-initiated operations but also time passing. …”
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Quantum computing and quantum neural networks: their foundation, optimisation, and application by Pointing, J

“…We explore the foundation of QNNs by studying their bias and expressivity. We investigate whether a QNN can have a classical deep neural network's (DNN) bias, known as simplicity bias, which is hypothesised to contribute to the success of DNNs. …”

TiN-Mediated Multi-Level Negative Photoconductance of the ZrO2 Breakdown Path by Zhou, Yu, Kawashima, Tomohito, Ang, Diing Shenp

“…A negative voltage-bias does not produce such a tuning effect but can restore the NPC response suppressed by the positive voltage-bias before a re-breakdown step. …”
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The robust F-statistic as a test for weak instruments by Windmeijer, F

“…For the linear model with a single endogenous variable, (Montiel Olea and Pflueger 2013) proposed the effective F-statistic as a test for weak instruments in terms of the Nagar bias of the two-stage least squares (2SLS) or limited information maximum likelihood (LIML) estimator relative to a benchmark worst-case bias. …”

Models for predicting risk of endometrial cancer: a systematic review by Forder, BH, Ardasheva, A, Atha, K, Nentwich, H, Abhari, R, Kartsonaki, C

“…The Prediction model Risk-of-Bias Assessment Tool was used to assess model quality. …”