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Interpretable Predictive Models for Healthcare via Rational Logistic Regression

Autor: Suttaket, Thiti, Vardhan, L Vivek Harsha, Kok, Stanley

The healthcare sector has experienced a rapid accumulation of digital data recently, especially in the form of electronic health records (EHRs). EHRs constitute a precious resource that IS researchers could utilize for clinical applications (e.g., mo

Externí odkaz: http://arxiv.org/abs/2411.03224

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When Two Wrongs Don't Make a Right' -- Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology

Artificial intelligence (AI)-based decision support systems hold promise for enhancing diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration can introduce and amplify cognitive biases, such as confirmation bia

Externí odkaz: http://arxiv.org/abs/2411.01007

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A 300 mm foundry silicon spin qubit unit cell exceeding 99% fidelity in all operations

Fabrication of quantum processors in advanced 300 mm wafer-scale complementary metal-oxide-semiconductor (CMOS) foundries provides a unique scaling pathway towards commercially viable quantum computing with potentially millions of qubits on a single

Externí odkaz: http://arxiv.org/abs/2410.15590

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State-space analysis of a continuous gravitational wave source with a pulsar timing array: inclusion of the pulsar terms

Autor: Kimpson, Tom, Melatos, Andrew, O'Leary, Joseph, Carlin, Julian B., Evans, Robin J., Moran, William, Cheunchitra, Tong, Dong, Wenhao, Dunn, Liam, Greentree, Julian, O'Neill, Nicholas J., Suvorova, Sofia, Thong, Kok Hong, Vargas, Andrés F.

Pulsar timing arrays can detect continuous nanohertz gravitational waves emitted by individual supermassive black hole binaries. The data analysis procedure can be formulated within a time-domain, state-space framework, in which the radio timing obse

Externí odkaz: http://arxiv.org/abs/2410.10087

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Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

Autor: Le, Cuong, Johansson, Viktor, Kok, Manon, Wandt, Bastian

Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motion and struggle to achieve smooth and physically plausible motions. Exp

Externí odkaz: http://arxiv.org/abs/2410.07795

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Kalman tracking and parameter estimation of continuous gravitational waves with a pulsar timing array

Continuous nanohertz gravitational waves from individual supermassive black hole binaries may be detectable with pulsar timing arrays. A novel search strategy is developed, wherein intrinsic achromatic spin wandering is tracked simultaneously with th

Externí odkaz: http://arxiv.org/abs/2409.14613

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Tensor network square root Kalman filter for online Gaussian process regression

Autor: Menzen, Clara, Kok, Manon, Batselier, Kim

The state-of-the-art tensor network Kalman filter lifts the curse of dimensionality for high-dimensional recursive estimation problems. However, the required rounding operation can cause filter divergence due to the loss of positive definiteness of c

Externí odkaz: http://arxiv.org/abs/2409.03276

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Online One-Dimensional Magnetic Field SLAM with Loop-Closure Detection

Autor: Kok, Manon, Solin, Arno

We present a lightweight magnetic field simultaneous localisation and mapping (SLAM) approach for drift correction in odometry paths, where the interest is purely in the odometry and not in map building. We represent the past magnetic field readings

Externí odkaz: http://arxiv.org/abs/2409.01091

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