11 papers · ranked by Valyu relevance
Thomas Bartz–Beielstein
The goal of hyperparameter tuning (or hyperparameter optimization) is to optimize the hyperparameters to improve the performance of the machine or deep learning model. spotPython ("Sequential Parameter Optimization Toolbox in Python") is the Python version of the well-known hyperparameter tuner SPOT, which has been…
Thomas Bartz–Beielstein
- If DEVICE is set to "auto" or None, spotPython will automatically select the device. - – This might result in "mps" on Macs, which is not the best choice for simple neural nets. 1 Alternatively, the source code can be downloaded from gitHub: https://github.com/sequential-parameteroptimization/spotPython. 2 We were…
Yifan Li, Xinyu Zhou, Yunhao Ge, Yu Kong
Robotic manipulation is often specified through language instructions or task identifiers, yet cluttered environments with similar objects are better handled by spatially indicating what to move and where to place it. Addressing the vision-centric challenge of object and goal specification, we present, to the best of…
Emmanuel Bouilhol, Anca F. Savulescu, Edgar Lefevre, Benjamin Dartigues + 2 more
'Benjamin Dartigues' 'Robyn Brackin' 'Macha Nikolski'] Detection of RNA spots in single-molecule fluorescence in-situ hybridization microscopy images remains a difficult task, especially when applied to large volumes of data. The variable intensity of RNA spots combined with the high noise level of the images often…
Talaya Farasat, Atiqullah Ahmadzai, Aleena Elsa George, Sayed Alisina Qaderi + 2 more
Vulnerability Detection in Python Authors: ['Talaya Farasat' 'Atiqullah Ahmadzai' 'Aleena Elsa George' 'Sayed Alisina Qaderi' 'Danilo Dordevic' 'Joachim Posegga'] Software vulnerabilities are a fundamental cause of cyber attacks. Effectively identifying these vulnerabilities is essential for robust cybersecurity, yet…
Felix Y. Zhou, Adam Norton-Steele, Lewis Marsh, Helen M. Byrne + 2 more
Cells are plastic, highly heterogeneous and change over time. High-content timelapse imaging promises to reveal dynamic cell behaviors, enabling more accurate identification of cell state and cell fate prediction for biological hypothesis generation and perturbation screens. To empower live-cell imaging based…
Talaya Farasat, Joachim Posegga
Detection Authors: ['Talaya Farasat' 'Joachim Posegga'] Software vulnerabilities are a fundamental reason for the prevalence of cyber attacks and their identification is a crucial yet challenging problem in cyber security. In this paper, we apply and compare different machine learning algorithms for source code…
Ella Bahry, Laura Breimann, Marwan Zouinkhi, Leo Epstein + 7 more
Fluorescent in-situ hybridization (FISH)-based methods extract spatially resolved genetic and epigenetic information from biological samples by detecting fluorescent spots in microscopy images, an often challenging task. We present Radial Symmetry-FISH (RS-FISH), an accurate, fast, and user-friendly software for spot…
Shengxian Yi, Zhongjiong Yang, Liqiang Zhou, Shaoxin Zou + 2 more
'Huangxin Xie' 'Carlo Alberto Avizzano'] In this paper, deep learning and image processing technologies are combined, and an automatic sampling robot is proposed that can completely replace the manual method in the three-dimensional space when used for the autonomous location of sampling points. It can also achieve…
Lingjiang Li, Maolin Li, Weijun Sun, Zhenni Li + 2 more
'Shah Nawaz Burokur'] Spot detection has attracted continuous attention for laser sensors with applications in communication, measurement, etc. The existing methods often directly perform binarization processing on the original spot image. They suffer from the interference of the background light. To reduce this kind…
Jianxiang Dong, Zhaozheng Yin, Dale Kreitler, Herbert J. Bernstein + 2 more
'Jean Jakoncic' 'J. Hajdu'] Bragg Spot Finder (BSF) is a U-Net-based spotfinder with image preprocessing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. BSF is supported by the Bragg Spot Detection (BSD) benchmark image dataset containing more than 300…