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414 results for “generative model”
Data Tabels (One-dimensional N-layer thermal modelling as a basis for effective machine learning training data generation for nondestructive testing of composite parts.)
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Investigating Gender Bias in Large Language Models Through Text Generation
<p>Presented at the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024). Published in the ACL Anthology.</p>
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
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WRF met-data for generative diffusion model post-processing precipitation map
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Dataset of the Automatic Unit Test Generation for Programming Assignments Using Large Language Models
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Advancing Automated Code Review Comment Generation Using Large Language Models
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Parasitoid-mediated indirect interactions between unsuitable and suitable hosts can generate apparent predation in microcosm and modeling studies
<p>Parasitoids used as biological control agents often parasitize more than a single host species and these hosts tend to vary in suitability for offspring development. The population dynamics of parasitoids and hosts may be altered by these interactions, with outcomes dependent on the levels of suitability and acceptance of both host species. Parasitism of individuals of an unsuitable host species may indirectly increase populations of a suitable host species if eggs laid into unsuitable hosts do not develop into adult parasitoids. In this case the unsuitable host is acting as an egg sink for parasitoids and this can reduce parasitism of suitable hosts under conditions of egg limitation. We studied parasitoid-mediated indirect interactions between two aphid hosts, <i>Aphis glycines</i> (the soybean aphid) and <i>A. nerii</i> (the milkweed, or oleander aphid), sharing the parasitoid <i>Aphelinus certus</i>. While both of these aphid species are accepted by <i>A. certus</i>, soybean aphid is a much more suitable host than milkweed aphid is. We observed a drastic reduction of parasitoid offspring production (45%) on the suitable host in the presence of the unsuitable host in microcosm assays. <i>Aphelinus certus</i> females laid eggs into the unsuitable hosts (<i>Aphis nerii</i>) in the presence of the suitable host leading to egg and/or time limitation and reduced fitness. The impact of these interactions on the equilibrium population sizes of the three interacting species was analyzed using a consumer-resource modeling approach. Both the results from the laboratory experiment and the modeling approaches identified <i>apparent predation</i> between soybean aphid and milkweed aphid, in which milkweed aphid<i> </i>acts as a sink for parasitoid eggs leading to an increase in the soybean aphid population. The presence of soybean aphids had the opposite effect on milkweed aphid populations as it supported increases in parasitoid abundance and thus reduced the fitness and abundance of this aphid species.</p>
Video - Assembly Task Modelling Strategy for Automatic Robot Program Generation
<p>Video - Assembly Task Modelling Strategy for Automatic Robot Program Generation</p>
Data Set Generated by the Fuzzy Model Constructed to Describe Execution Tracing Quality
<p>The uploaded data set was generated by the fuzzy model published in T. Galli, F. Chiclana, and F. Siewe. Genetic algorithm-based fuzzy inference system for describing execution tracing quality. Mathematics, 9(21), 2021. ISSN 2227-7390. doi: https://doi.org/10.3390/ma th9212822. URL https://www.mdpi.com/2571-5577/4/1/20.</p> <p>The goal of the data generation is to make the published model available in the form of data points in a 5D space, which facilitates the construction of simpler models to approximate the original model. The names of the columns in the .csv file constitute the quality properties of execution tracing: (1) accuracy, (2) legibility, (3) implementation, and (4) security, while column (5) contains execution tracing quality derived from the fuzzy model. The indices in brackets show the column indices in the .csv file.</p> <p>All variables lie in the continuous range [0, 100], where 100 means the best possible quality value and 0 the complete lack of quality or the lack of the given quality property. While generating the data, the inputs were increased by a step-size 5 and the model's output was collected, i.e. 4 inputs, from including 0 to 100 with 21 data points (21^4 = 194481).</p> <p> </p>
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
<h2>[Update] Looking for a larger unsafe image dataset? We publish a new dataset named UnsafeBench on Hugging Face. Take a look at <a href="https://huggingface.co/datasets/yiting/UnsafeBench">here</a>!</h2> <p>This dataset used in the paper <a href="https://arxiv.org/pdf/2305.13873.pdf">https://arxiv.org/pdf/2305.13873.pdf</a> contains four prompt sets and one image set.</p> <p>The four prompt sets were used to query Text-to-Image models and generate images for safety assessment. These sets include three harmful prompt sets and one harmless prompt set. The harmful prompts originate from different sources and contain various unsafe concepts, such as sexually explicit, violent, disturbing, hateful, and political content.</p> <p><strong>Prompt Sets</strong>:</p> <ul> <li>4chan Prompts: Harmful</li> <li>Lexica Prompts: Harmful</li> <li>Template Prompts: Harmful</li> <li>COCO Prompts: Harmless</li> </ul> <p><strong>Image Dataset</strong>:</p> <p>This dataset consists of 800 images, which were randomly selected from all the generated images from Text-to-Image models.</p> <ul> <li>Safe: 580 images</li> <li>Sexually Explicit: 48 images</li> <li>Violent: 45 images</li> <li>Disturbing: 68 images</li> <li>Hateful: 35 images</li> <li>Political: 50 images</li> </ul>
Evaluating Accuracy Improvements of Large Language Models Using Retrieval Augmented Generation
<p>Original data</p>
Realistic in Generation of HEp-2 Cell Images Using Latent Diffusion Models: a Multi-center Visual Turing Test
ClinicalTrials.gov study NCT06542783. IPD Sharing: NO. Countries: 0. Publications: 6.
Generate a Pharmacodynamic Model of Oxytocin for Peripheral Analgesic Effects
ClinicalTrials.gov study NCT04431206. IPD Sharing: YES. Countries: 1. Publications: 0.
Parasitoid-mediated indirect interactions between unsuitable and suitable hosts can generate apparent predation in microcosm and modeling studies
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Data from: A comprehensive mathematical model of motor unit pool organization, surface electromyography and force generation
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Data from: In silico study of the role of cell growth factors in photosynthesis using a virtual leaf tissue generator coupled to a microscale photosynthesis gas exchange model
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Data from: Reference-free transcriptome assembly in non-model animals from next generation sequencing data
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Data from: Multiple models generate a geographic mosaic of resemblance in a Batesian mimicry complex
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Data from: Sequence Capture using PCR-generated Probes (SCPP): a cost-effective method of targeted high-throughput sequencing for non-model organisms
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Data from: Generative modeling of multi-mapping reads with mHi-C advances analysis of Hi-C studies
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.