Image representation and deep inception-attention for file-type and malware classification by Wang, Yi, Wu, Kejun, Liu, Wenyang, Yap, Kim-Hui, Chau, Lap-Pui

“…File-type classification aims to recognize the file types of files/fragments without file-system metadata, which is essential for memory forensics and data recovery. …”
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Dataset for 'Quantitative CEST Imaging of Amide Proton Transfer in Acute Stroke': MAT files for figures of quantitative results by Msayib, Y

“…The processed data for figures 2 to 7 were stored using Matlab as MAT files in November 2017. The raw clinical data cannot be made freely available due to them being of an ethically sensitive nature - please contact James Kennedy (james.kennedy@rdm.ox.ac.uk) for enquiries regarding them. …”

A byte sequence is worth an image: CNN for file fragment classification using bit shift and n-gram embeddings by Liu, Wenyang, Wang, Yi, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui

“…File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security. …”
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Eccentric compression performance of jointed precast concrete-encased concrete-filled steel tube columns with dry connections by Zhu, Gaoming, Tan, Kang Hai

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Synthetic image data generation via rendering techniques for training AI-based instance segmentation by Kho, Dickson Yik Cheng, Norazlianie, Sazali, Ismayuzri, Ishak, Saiful Anwar, Che Ghani

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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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FSL-QuickBoost: Minimal-Cost Ensemble for Few-Shot Learning by Bai, Yunwei, Cai, Bill Yang, Tan, Ying Kiat, Zheng, Zangwei, Chen, Shiming, Chen, Tsuhan

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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

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Cyclic routing of unmanned aerial vehicles by Lim, Cheng Siang

“…During experimentations, data about the performance of the algorithm was collected by having it run several times per test case. The raw output was saved in MS Excel files, and subsequently, processed and presented in tables and graphs for analysis. …”
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Analysis of New York City traffic speed data set by Le, Duy Anh

“…Each raw data file consists of sensor location (id), traffic speed and travel time on a particular day. …”
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The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search by Verwer, Sicco, Nadeem, Azqa, Hammerschmidt, Christian, Bliek, Laurens, Al-Dujaili, Abdullah, O'Reilly, Una-May

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Virtual patient by Wong, Inge.

“…Standardized Patients have been widely used in hospitals and medical schools to train students. The term “Standardized Patients” refers to the specially trained actors who portray patients with particular health conditions or concerns. …”
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Immune Checkpoint Blockade sensitivity and Progression-Free Survival associates with baseline CD8+ T cell clone size and cytotoxicity by Watson, R, Tong, O, Taylor, C, Kumar Sharma, P, Verge De Los Aires, A, Mahe, E, Ruffieux, H, Nassiri, I, Middleton, M, Fairfax, B

“…The cells contained within the expression matrices and Seurat objects have undergone full pre-processing and QC steps and are used for the analysis and figures in the linked manuscript. For raw data, please refer to the FASTQ files which have been deposited in the European Genome–phenome Archive, which is hosted by the European Bioinformatics Institute and the Centre for Genomic Regulation (accession no. …”

Data for the ‘Orchid Observers’ project by Shuttleworth, S, O’Donnell, J, Lintott, C, Tweddle, J

“…As of November 2018, two files from Orchid Observers had been deposited, both containing raw data from Zooniverse (milkman data) which is unedited and non-annotated. …”

Automated patent extraction powers generative modeling in focused chemical spaces by Subramanian, Akshay, P. Greenman, Kevin, Gervaix, Alexis, Yang, Tzuhsiung, Gómez-Bombarelli, Rafael

“…Furthermore, patents published by the US Patent and Trademark Office (USPTO) are downloadable and have machine-readable text and molecular structures. In this work, we train domain-specific generative models using patent data sources by developing an automated pipeline to go from USPTO patent digital files to the generation of novel candidates with minimal human intervention. …”
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Small object recognition using machine learning techniques by Loy, Hui Juan

“…From 2 existing training datasets (VOC2007, VOC2012), a new dataset of random images, which consists of small objects from 20 different classes was extracted, using a predefined set of annotation files that located small objects within the 2 datasets. …”
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Refining malware analysis with enhanced machine learning algorithms using hyperparameter tuning by El Mouhtadi, Walid, El Bakkali, Mohamed, Maleh, Yassine, Mounir, Soufyane, Ouazzane, Karim

“…Overfitting, a prevalent issue, arises when models are excessively complex and trained on noisy data, leading to suboptimal generalization to new data. …”
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Digitised, searchable Holle List in Stokhof (1980) by Rajeg, GPW

“…The NBL has been made interactive as a webpage with further details at https://engganolang.github.io/digitised-holle-list/ The raw tab-separated text file was created via OCR-ing the PDF scanned. …”

ACIL: analytic class-incremental learning with absolute memorization and privacy protection by Zhuang, Huiping, Weng, Zhenyu, Xie, Renchunzi, Toh, Kar-Ann, Lin, Zhiping

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Supporting data for "Thermomechanical coupling during large strain deformation of polycarbonate: Experimental study" by Song, P, Chapman, D, Graham, A, Trivedi, A, Siviour, C

“…</p> <p>Information about file formats is given in the dataset.</p>…”