arxiv.org/abs/0708.2718v1
Based on photometric and astrometric data it has been proposed that Albus 1 (also known as CPD-20 1123) might be a hot white dwarf similar to G191-B2B or, alternatively, a hot subdwarf. We obtained a series of optical spectra showing that CPD-20 11...
arxiv.org/abs/1701.01218v1
We present the Overlapping Domain Cover (ODC) notion for kernel machines, as a set of overlapping subsets of the data that covers the entire training set and optimized to be spatially cohesive as possible. We show how this notion benefit the speed of...
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BitLocker is a Windows security feature that protects your data by encrypting your drives. This encryption ensures that if someone tries to access a disk offline, they won’t be able to read any of its …
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Learn about the different tools to backup and restore your data, and to recover Windows in case of a system failure.
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2 days ago · See the latest Automatic Data Processing Inc stock price (ADP:XNAS), related news, valuation, dividends and more to help you make your investing decisions.
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Dec 1, 2016 · All 3m NASDAQ:ADP News Releases Nov 24 Dec 1 Dec 8 Dec 15 Dec 22 Dec 29 Jan 5 Jan 12 Jan 19 Jan 26 Feb 2 Feb 9 Feb 16 Feb 23 2021 2022 2023 2024 2025 2026 200 220 240 260 …
arxiv.org/abs/2208.13902v2
This paper describes our contribution to the MIDOG 2022 challenge for detecting mitotic cells. One of the major problems to be addressed in the MIDOG 2022 challenge is the robustness under the natural variance that appears for real-life data in the h...
arxiv.org/abs/2402.00760v2
This work successfully generates an uncertainty-aware surrogate model of the EuroPED plasma pedestal model using the Bayesian neural network with noise contrastive prior (BNN-NCP) technique. This model is trained using data from the JET-ILW pedestal...
arxiv.org/abs/1312.7867v1
Carbon dioxide, along with atmospheric temperature are interacting to cause what we have defined as global warming. In the present study we develop a statistical model using real data to identify the attributable variables (risk factors) that cause t...
github.com/ewenme/transfers
data on european football player transfers (⭐ 137)
arxiv.org/abs/1012.0759v1
Cloud computing allows shared computer and storage facilities to be used by a multitude of clients. While cloud management is centralized, the information resides in the cloud and information sharing can be implemented via off-the-shelf techniques fo...
arxiv.org/abs/physics/0104048v1
Recent satellite data have revealed a surprising correlation between galactic cosmic ray (GCR) intensity and the fraction of the Earth covered by clouds. If this correlation were to be established by a causal mechanism, it could provide a crucial s...
arxiv.org/abs/2203.10488v2
Being able to reproduce physical phenomena ranging from light interaction to contact mechanics, simulators are becoming increasingly useful in more and more application domains where real-world interaction or labeled data are difficult to obtain. Des...
arxiv.org/abs/1907.10292v1
We introduce the problem of zero-shot sign language recognition (ZSSLR), where the goal is to leverage models learned over the seen sign class examples to recognize the instances of unseen signs. To this end, we propose to utilize the readily availab...
arxiv.org/abs/2201.06255v3
A genome read data set can be quickly and efficiently remapped from one reference to another similar reference (e.g., between two reference versions or two similar species) using a variety of tools, e.g., the commonly-used CrossMap tool. With the exp...
arxiv.org/abs/2206.08140v2
We propose an analysis of heart rate marathon runners implemented by computing a multifractal spectrum based on p-exponents. We draw physiological conclusions about their performance. Finally, we link this analysis with the disturbances of the heart...
arxiv.org/abs/2508.16576v1
Despite advancements in ASR, child speech recognition remains challenging due to acoustic variability and limited annotated data. While fine-tuning adult ASR models on child speech is common, comparisons with flat-start training remain underexplored....
arxiv.org/abs/2310.15371v1
Federated learning (FL) enables multiple client medical institutes collaboratively train a deep learning (DL) model with privacy protection. However, the performance of FL can be constrained by the limited availability of labeled data in small instit...
arxiv.org/abs/2311.02115v2
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of disparities in performance between subgroups. Since not all sources of biases in real-world medical imaging data are easily identifi...
arxiv.org/abs/2304.10517v3
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model that is intended to segment user-defined objects of interest in an int...