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Academic Torrents
by Istvn Szita; Blint Takcs; Andrs Lrincz
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Source: http://academictorrents.com/details/3634303099110d62a04931a61d765db4eafe994d
Academic Torrents
by Massachusetts Department of Transportation (MassDOT)
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MassDOT Visualizing Transportation Hackathon, December 2013. Informing the Future of Massachusetts Transportation through Data Analysis and Visualization. Introduction At the MassDOT Visualizing Transportation Hackathon, the Massachusetts Department of Transportation (MassDOT), in partnership with the Mass Big Data Initiative, will release a series of related data sets on travel in Massachusetts and will open a challenge to the public to collaborate around analyzing this data and visualizing...
Source: http://academictorrents.com/details/1938b67c7db77f878a56256e9958bb20801b9ddd
Academic Torrents
by Alberto Garcia Duran
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The 30M Factoid Question-Answer Corpus consists of 30M natural language questions in English and their corresponding facts in the knowledge base Freebase. The dataset is formatted as a text file, where each line contains: ``` \t \t \t natural language question, ``` where , and are the subject, relationship and object identifier in Freebase corresponding to the natural language question. For a more detailed description, have a look at our paper: Generating Factoid Questions With Recurrent Neural...
Source: http://academictorrents.com/details/973fb709bdb9db6066213bbc5529482a190098ce
Academic Torrents
by Eric Hofesmann; Madan Ravi Ganesh; Jason J. Corso
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There are many hurdles that prevent the replication of existing work which hinders the development of new activity classification models. These hurdles include switching between multiple deep learning libraries and the development of boilerplate experimental pipelines. We present M-PACT to overcome existing issues by removing the need to develop boilerplate code which allows users to quickly prototype action classification models while leveraging existing state-of-the-art (SOTA) models...
Topics: actvity recognition, weights, c3d, i3d, tsn, resnet, lstm
Source: http://academictorrents.com/details/dcea7fa53925b31215bd8437d2f0805253d6b00f
Academic Data and Datasets
by Aleksandr Zhernakov
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The raw NGSequencing data of a library prepared by MACE technology from five pea plants with mutant phenotype of F2 (NGB1238 × N24) mapping population.
Source: https://figshare.com/articles/dataset/M2-library/7409270/1
Academic Torrents
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Source: http://academictorrents.com/details/19f00a21ce64d05278c5ecee12b6d0c1c2bd4b84
Academic Data and Datasets
by Salamon, Justin; Bittner, Rachel; Bonada, Jordi; Bosch, Juan Jose; Gómez, Emilia; Bello, Juan Pablo
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MDB-mf0-synth ============= MDB-mf0-synth (c) by Justin Salamon, Rachel Bittner, Jordi Bonada, Juan Jose Bosch, Emilia Gómez and Juan Pablo Bello. MDB-mf0-synth is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).  You should have received a copy of the license along with this work. If not, see http://creativecommons.org/licenses/by-nc/4.0/ Created By ---------- Justin Salamon*, Rachel Bittner*, Jordi Bonada^, Juan Jose Bosch^, Emilia...
Source: https://zenodo.org/record/1481170
Academic Data and Datasets
by Wei Huang
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data for "An investigation of MHC-dependent sexual selection in a free-living population of sheep"
Source: https://figshare.com/articles/dataset/MHC-sexual_selection-St_Kilda_Soay_sheep/13277081/1
A publicly available set of training data can be downloaded for algorithmic tweaking and tuning from the Virtual Skeleton Database. The training data consists of multi-contrast MR scans of 30 glioma patients (both low-grade and high-grade, and both with and without resection) along with expert annotations for "active tumor" and "edema". For each patient, T1, T2, FLAIR, and post-Gadolinium T1 MR images are available. All volumes were linearly co-registered to the T1 contrast...
Source: http://academictorrents.com/details/39c5a52bda7b5b701cecfc454a79d385868d4f3d
Brain tumor image data used in this article were obtained from the MICCAI Challenge on Multimodal Brain Tumor Segmentation. The challenge database contain fully anonymized images from the Cancer Imaging Archive. 1 for necrosis 2 for edema 3 for non-enhancing tumor 4 for enhancing tumor 0 for everything else ``` here are 3 requirements for the successfull upload and validation of your segmentation: Use the MHA filetype to store your segmentations (not mhd) [use short or ushort if you experience...
Source: http://academictorrents.com/details/c4f39a0a8e46e8d2174b8a8a81b9887150f44d50
Academic Torrents
by BraTS
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Source: http://academictorrents.com/details/a9e2741587d42ef6139aa474a95858a17952b3a5
Academic Torrents
by BraTS
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Source: http://academictorrents.com/details/a5912da845c7d7bec9bd0880c17ddda789ba35d5
Academic Torrents
by BraTS
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https://i.imgur.com/iONFbKt.gif Volume list (count: 335) ``` HGG/BraTS19_2013_11_1 HGG/BraTS19_2013_12_1 HGG/BraTS19_2013_13_1 HGG/BraTS19_2013_14_1 HGG/BraTS19_2013_17_1 HGG/BraTS19_2013_18_1 HGG/BraTS19_2013_19_1 HGG/BraTS19_2013_20_1 HGG/BraTS19_2013_2_1 HGG/BraTS19_2013_22_1 HGG/BraTS19_2013_23_1 HGG/BraTS19_2013_25_1 HGG/BraTS19_2013_26_1 HGG/BraTS19_2013_27_1 HGG/BraTS19_2013_3_1 HGG/BraTS19_2013_21_1 HGG/BraTS19_2013_4_1 HGG/BraTS19_2013_5_1 HGG/BraTS19_2013_7_1 HGG/BraTS19_CBICA_AAB_1...
Source: http://academictorrents.com/details/82cef583fa17480b0f9a6342591d01dc67abe055
Academic Torrents
by Eric L; er
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The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and...
Source: http://academictorrents.com/details/7e1ba0f77f65f5e43e3147691da2ddc36330a361
Academic Torrents
by Center for Brains, Minds; Machines (CBMM)
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Course description The class covers foundations and recent advances of Machine Learning from the point of view of Statistical Learning Theory. Understanding intelligence and how to replicate it in machines is arguably one of the greatest problems in science. Learning, its principles and computational implementations, is at the very core of intelligence. During the last decade, for the first time, we have been able to develop artificial intelligence systems that can solve complex tasks...
Source: http://academictorrents.com/details/8b47f45382645882a23e0f8d9d9fbb764b3eb378
Academic Torrents
by Christopher Burge; David Gifford; Ernest Fraenkel
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The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. ### Course...
Source: http://academictorrents.com/details/90435db14989b415561ef53a3a12657a13d9d9fa
Academic Torrents
by Haynes Miller; Arthur Mattuck
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##Course Description Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE's) deal with functions of one variable, which can often be thought of as time. ##Prerequisites/Corequisites 18.03 Differential Equations has 18.01 Single Variable Calculus as a prerequisite. 18.02 Multivariable Calculus is a...
Source: http://academictorrents.com/details/e7ef009c1929f074ea556bad005ddca0d99ac7aa
Academic Torrents
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This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python? programming language.
Source: http://academictorrents.com/details/f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5
Academic Torrents
by Demaine, Erik; Srinivas Devadas
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This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.
Topics: mit, ocw
Source: http://academictorrents.com/details/831041a9411abc5d9c4d58e38ae40e550f8455a1
Academic Torrents
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==Course Description This course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block...
Topic: MIT6.451S05
Source: http://academictorrents.com/details/83259dc0c7dbd50073113cb1aa7a3e574faca70c
Academic Torrents
by Graham Walker; Julia Khodor; Michelle Mischke; Penny Chisholm
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Course Highlights This course features a complete set of video lectures by Professor Graham Walker, a Howard Hughes Medical Institute (HHMI) professor and director of the HHMI Education group at MIT, and Professor Sallie W. Chisholm, Lee and Geraldine Martin Professor of Environmental Studies and co-director of the MIT Earth Systems Initiative. Education development efforts for these introductory biology courses are one of many activities conducted by the HHMI Education Group at MIT. This group...
Source: http://academictorrents.com/details/a2b8a74967e5166ab55bf5f248af8d564c39f795
Academic Torrents
by Walter Lewin
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This is a full set of video lectures, recorded at MIT. The home page of the original lectures can be found at MIT OCW: http://ocw.mit.edu/ This torrent is just a transcode of the original 220 Kbps .rm files to mpeg4, 15 fps, 320 x 240 h.264 @ 144 Kbps, with 32 Kbps mono AAC sound, so that it can for example be easily played on a phone during your daily commute. Course description ------------------- 8.01 is a first-semester freshman physics class in Newtonian Mechanics, Fluid Mechanics, and...
Source: http://academictorrents.com/details/f231c62635aadfb0e4d1f45ddc7b5b6c5592b275
Academic Torrents
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8.02 Classical Theory of Electromagnetism. In addition to the basic concepts of Electromagnetism, a vast variety of interesting topics are covered in this course: Lightning, Pacemakers, Electric Shock Treatment, Electrocardiograms, Metal Detectors, Musical Instruments, Magnetic Levitation, Bullet Trains, Electric Motors, Radios, TV, Car Coils, Superconductivity, Aurora Borealis, Rainbows, Radio Telescopes, Interferometers, Particle Accelerators (a.k.a. Atom Smashers or Colliders), Mass...
Topics: Introduction to electromagnetism and electrostatics, electric charge, Coulomb's law, electric...
Source: http://academictorrents.com/details/7010163eae33fbac6c065095e908c2c49550b931
Academic Torrents
by Walter Lewin
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Course Description ------------------ 8.03 Classical theory of vibration and waves. In addition to the traditional topics of mechanical vibrations and waves, coupled oscillators, and electro-magnetic radiation, students will also learn about musical instruments, red sunsets, glories, coronae, rainbows, haloes, X-ray binaries, neutron stars, black holes and big-bang cosmology. Highlights of this Course ------------------------- This course features a full set of lecture videos, as well as...
Source: http://academictorrents.com/details/724648552d517756117b47b3a7f5f62962f2629e
Academic Torrents
by Jeff Gore
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### Course Description This course provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics. Cellular systems include genetic switches and oscillators, network motifs, genetic network evolution, and cellular decision-making. Population-level systems include models of pattern formation, cell-cell communication, and evolutionary systems biology. ### Prerequisites...
Source: http://academictorrents.com/details/98961a881e8fd4139f4d1e09f0b7a4badfab7c9d
Academic Torrents
by Moody GB, Mark RG.
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Since 1975, our laboratories at Boston's Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) and at MIT have supported our own research into arrhythmia analysis and related subjects. One of the first major products of that effort was the MIT-BIH Arrhythmia Database, which we completed and began distributing in 1980. The database was the first generally available set of standard test material for evaluation of arrhythmia detectors, and has been used for that purpose as well as...
Source: http://academictorrents.com/details/78d14c9cb4fa765b3c323c1a26bd114e2b30ef34
Academic Torrents
by Stephen R. Piccolo; Lewis J. Frey
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Source: http://academictorrents.com/details/204a7af1ec7aafcf1c7a37102d4b353a93620f2d
Academic Torrents
by Ryan R. Curtin; James R. Cline; N. P. Slagle; William B. March; Parikshit Ram; Nishant A. Mehta; Alex; er G. Gray
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Source: http://academictorrents.com/details/421ca1dc8f130655ce397a1c8debc783c02cbe36
Academic Torrents
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Source: http://academictorrents.com/details/2e520073db4ce011c5a05d5a8b08496d47865f9f
Academic Torrents
by LeCun et al., 1998a
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Classic dataset of small (28x28) handwritten grayscale digits, developed in the 1990s for testing the most sophisticated models of the day; today, often used as a basic “hello world” for introducing deep learning. This fast.ai datasets version uses a standard PNG format instead of the special binary format of the original, so you can use the regular data pipelines in most libraries; if you want to use just a single input channel like the original, simply pick a single slice from the...
Topic: fastai
Source: http://academictorrents.com/details/4d563087fb327739d7ec9ee9a0d32c4cb8b0355e
Academic Torrents
by Christopher J.C. Burges; Yann LeCun; Corinna Cortes
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The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. The original black and white (bilevel) images...
Topic: mnist
Source: http://academictorrents.com/details/ce990b28668abf16480b8b906640a6cd7e3b8b21
Academic Torrents
by Christopher J.C. Burges; Yann LeCun; Corinna Cortes
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The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image. It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. The original black and white (bilevel) images...
Topic: mnist.pkl.gz
Source: http://academictorrents.com/details/323a0048d87ca79b68f12a6350a57776b6a3b7fb
Academic Torrents
by Albert Bifet; Geoff Holmes; Richard Kirkby; Bernhard Pfahringer
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Source: http://academictorrents.com/details/fa2f814f97e6425ee42f63859c96ff4f80002919
Academic Data and Datasets
by Hormos Dafsari; Nur Kocaturk; Hülya-Sevcan Daimagüler; Anna Brunn; Jörg Dötsch; Joachim Weis; Martina Deckert; Sebahattin Cirak
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Additional file 1: Figure S1. Further myopathological, electron microscopical and phenotypic findings in our patient with UNC45B variant. Figure S2. Gene and isoform expression of UNC45B in various tissues and a possible disease model scheme.
Source: https://springernature.figshare.com/articles/dataset/MOESM1_of_Bi-allelic_mutations_in_uncoordinated_mutant_number-45_myosin_chaperone_B_are_a_cause_for_congenital_myopathy/11405898/1
Academic Data and Datasets
by Honorata Kraskiewicz; Maria Paprocka; Aleksandra Bielawska-Pohl; Agnieszka Krawczenko; Kinga Panek; Judyta Kaczyńska; Agnieszka Szyposzyńska; Mateusz Psurski; Piotr Kuropka; Aleksandra Klimczak
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Additional file 4. Migration activity of native HATMSC supernatants. MSU-1.1 cell migration activity was investigated at 37 °C in an incubation chamber (PeCon GmbH, Erbach, Germany) with 1%O2, 5%CO2 mounted on an Axio Observer inverted microscope equipped with a dry 5x objective (Zeiss, Gottingen, Germany). The movement of the cells was time-lapse recorded for 44 h at intervals of 2 h using Zen 2.6 Blue Edition Software (Zeiss, Gottingen, Germany) as 6 separate movies (one for each...
Source: https://springernature.figshare.com/articles/dataset/MOESM4_of_Can_supernatant_from_immortalized_adipose_tissue_MSC_replace_cell_therapy_An_in_vitro_study_in_chronic_wounds_model/11686431/1
Academic Torrents
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|Attribute|Value| |--------|--------| |Resolution:| 128 ppd| |Scale:| 463.1 mpp| |Projection: |Simple cylindrical, -180E to 180E, 90N to -90N, 'ocentric| |Layout:| 30 x 30 degree tiles| |Total Size:| 46080 x 23040 pixels| |Details: | Shaded relief derived from altimetry, colorized by elevation. 128 ppd/460m. NASA MGS/MOLA.| |Source: | http://pds-geosciences.wustl.edu/missions/mgs/mola.html| |Notes: |Data populated from 88N to 88S| ![](http://i.imgur.com/ew6ssh8.png)
Topics: Mars, ASU
Source: http://academictorrents.com/details/06f73b5ca501194ba1cd3aa918bd801b84ea7050
Academic Data and Datasets
by William Wint; Neil Alexander
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The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/ . More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 The first set...
Source: https://figshare.com/articles/dataset/Maps_of_human_mobility_change_during_the_COVID-19_outbreak/12130980/65
Academic Data and Datasets
by William Wint; Neil Alexander
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The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/ . More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 The first set...
Source: https://figshare.com/articles/dataset/Maps_of_human_mobility_change_during_the_COVID-19_outbreak/12130980/16
Academic Data and Datasets
by William Wint; Neil Alexander
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The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/ . More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 The first set...
Source: https://figshare.com/articles/dataset/Maps_of_human_mobility_change_during_the_COVID-19_outbreak/12130980/70
Academic Torrents
by Richard Ralph
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Here are the first shapes from each class in the MPEG-7 Core Experiment CE-Shape-1 Test Set. MPEG-7 Core Experiment CE-Shape-1 [?] is a popular database for shape matching evaluation consisting of 70 shape categories, where each category is represented by 20 different images with high intra-class variability. The shapes are defined by a binary mask outlining the objects. The evaluation protocol for this retrieval task is the bullseye rating, in which each image is used as reference and compared...
Source: http://academictorrents.com/details/0f9ac75f2d9e2ce2ef7b800aa23882915f4e31fa
Academic Torrents
by Richard Ralph
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Here are the first shapes from each class in the MPEG-7 Core Experiment CE-Shape-1 Test Set. MPEG-7 Core Experiment CE-Shape-1 [?] is a popular database for shape matching evaluation consisting of 70 shape categories, where each category is represented by 20 different images with high intra-class variability. The shapes are defined by a binary mask outlining the objects. The evaluation protocol for this retrieval task is the bullseye rating, in which each image is used as reference and compared...
Source: http://academictorrents.com/details/0a8cb3446b0de5690fee29a2c68922ff691c7f9a
Academic Torrents
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MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation. The dataset includes around 25K images containing over 40K people with annotated body joints. The images were systematically collected using an established taxonomy of every day human activities. Overall the dataset covers 410 human activities and each image is provided with an activity label. Each image was extracted from a YouTube video and provided with preceding and following...
Source: http://academictorrents.com/details/6be335f0d038fd4ed4422dd318705e0843059718
Academic Torrents
by K. Jafari-Khouzani; K. Elisevich, S. Patel; H. Soltanian-Zadeh
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This dataset contains T1-weighted MR images of 50 subjects, 40 of whom are patients with temporal lobe epilepsy and 10 are nonepileptic subjects. Hippocampus labels are provided for 25 subjects for training. The users may submit their segmentation outcomes for the remaining 25 testing images to get a table of segmentation metrics. https://i.imgur.com/XSJr6oQ.png https://i.imgur.com/jWpnVeu.gif ``` HFH ├── ReadMe.txt ├── Test │   ├── HFH_026.hdr │   ├──...
Source: http://academictorrents.com/details/d019f4f082f3fda94f0f74577b50dc30beee7bf8
Academic Torrents
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MRI MS DB Description: In the IMT-Segmentation folder there are 38 folders representing data for each patient 38patients). In each patient folder we have: 1) MRI TIFF Images from first and second examination (0 months, 6-12 months) 2) Lesion segmentations (*.plq files). The delineation/s can be loaded into matlab i.e load(file.plq, '-.mat'); Then points can be drawn on the image. %How to load the point deliniations into MATLAB and plot them to the image. load('IM_00031_1.plq','-mat');...
Source: http://academictorrents.com/details/e08155e5022d688fea00319bd2ead4f0f703f5bb
Academic Torrents
by Microsoft
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Microsoft COCO is a new image recognition, segmentation, and captioning dataset. Microsoft COCO has several features: Object segmentation Recognition in Context Multiple objects per image More than 300,000 images More than 2 Million instances 80 object categories 5 captions per image The 2014 Testing Images are for the MS COCO Captioning Challenge, while the 2015 Testing Images are for the MS COCO Detection Challenge. The train and val data are common to both challenges. Note also that as an...
Source: http://academictorrents.com/details/f993c01f3c268b5d57219a38f8ec73ee7524421a
Academic Torrents
by Y; ong Guo; Lei Zhang; Yuxiao Hu; Xiaodong He; Jianfeng Gao
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In this paper, we design a benchmark task and provide the associated datasets for recognizing face images and link them to corresponding entity keys in a knowledge base. More specifically, we propose a benchmark task to recognize one million celebrities from their face images, by using all the possibly collected face images of this individual on the web as training data. The rich information provided by the knowledge base helps to conduct disambiguation and improve the recognition accuracy, and...
Source: http://academictorrents.com/details/9e67eb7cc23c9417f39778a8e06cca5e26196a97
Academic Torrents
by Fabien Lauer; Yann Guermeur
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Source: http://academictorrents.com/details/33ae95873171c2644aebd2858ef7da5c792c9262
Academic Torrents
by Grigorios Tsoumakas; Eleftherios Spyromitros-Xioufis; Jozef Vilcek; Ioannis Vlahavas
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Source: http://academictorrents.com/details/06e59f0717ac2e28a288ec03601d0de30f8bb28f
Academic Torrents
by Djalel Benbouzid; Rbert Busa-Fekete; Norman Casagr; e; Franois-David Collin; Balzs Kgl
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Source: http://academictorrents.com/details/43ba4aab8e4826a7a678aa7656546074a8fe84e0
Academic Torrents
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# Full ImageNet Network This model is a pretrained model on full imagenet dataset [1] with 14,197,087 images in 21,841 classes. The model is trained by only random crop and mirror augmentation. The network is based on Inception-BN network [2], and added more capacity. This network runs roughly 2 times slower than standard Inception-BN Network. We trained this network on a machine with 4 GeForce GTX 980 GPU. Each round costs 23 hours, the released model is the 9 round. Train Top-1 Accuracy over...
Source: http://academictorrents.com/details/27330fbd1ec0648e72b2cf5c40aa0d4df1931221
Academic Data and Datasets
by André Kashiwabara
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This dataset was used to evaluate MYOP using 5 fold cross-validation.
Source: https://figshare.com/articles/dataset/MYOP_cross-validation_dataset/4254578/1
Unsorted Datasets
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MacIIcx Hard Drive Cache
Academic Torrents
by Joseph F. Murray; Gordon F. Hughes; Kenneth Kreutz-Delgado
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Source: http://academictorrents.com/details/fd1725daad46d01243c91e36fa9226ef6f1e374c
Academic Torrents
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Source: http://academictorrents.com/details/3eced34cd948e7ea92f31ded3e0fd734274fee4a
Academic Torrents
by Adam Cannon; J. Mark Ettinger; Don Hush; Clint Scovel
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Source: http://academictorrents.com/details/6ad9ad36edba1929e716dd78101cd00e3fbf6376
Academic Torrents
by Theja Tulab; hula; Cynthia Rudin
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Source: http://academictorrents.com/details/15efe86562dcb326f78d160eb9bd2526a5e4a431
Academic Torrents
by Jing Yang; Jialin Wang; Hongli Ren; Jinxiao Li; Qing Bao; Miaoni Gao
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This is datasets shared with scientific article "Machine learning-based dynamical seasonal prediction of summer rainfall in China" for science reproducibility
Topics: machine learning, seasonal prediction, precipitation prediction, China
Source: http://academictorrents.com/details/161aed41be78597bbae1a12d56f44987a1336628
Academic Torrents
by Salvador Garca; Francisco Herrera
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Source: http://academictorrents.com/details/1c4fbdb2caa3b21d17d20cb8c001e434ceaec178
Academic Torrents
by www.derasatps.com
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A graduation project about Mahmoud Darwish( one of the most prominent poets in Palestine and Arabic world).
Source: http://academictorrents.com/details/fa4823498b3a3dcd64efda85fd532a65307b16e8
Academic Torrents
by Gil Tahan; Lior Rokach; Yuval Shahar
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Source: http://academictorrents.com/details/6c1daa1fab43805daeddd2c3cb77ab6e2499be05
Academic Data and Datasets
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NCSU_43360 Swedish Malaise trap project 18-Aug-2003 Sweden Smaland Almhults kommun Stenbrohult, Djaknabygds bokback, Heath with old beeches 56.60910034 14.19309998
Source: https://figshare.com/articles/dataset/Male_genitalia_of_Conostigmus_geniculatus_dorsal_view_PSUCIM_4336_/100988/2
Academic Torrents
by Elaine Jaffe (National Cancer Institute); Nikita Orlov (National Institute on Aging)
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Malignant lymphoma is a cancer affecting lymph nodes. Three types of malignant lymphoma are represented in the set: CLL (chronic lymphocytic leukemia), FL (follicular lymphoma), and MCL (mantle cell lymphoma). The ability to distinguish classes of lymphoma from biopsies sectioned and stained with Hematoxylin/Eosin (H+E) would allow for more consistent and less demanding diagnosis of this disease. Only the most expert pathologists specializing in these types of lymphomas are able to consistently...
Source: http://academictorrents.com/details/3cde17e7e4d9886513630c1005ba20b8d37c333a
Academic Data and Datasets
by Kitt Paraiso
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BigWig and NarrowPeak/BroadPeak files from H3K27ac ChIP-seq and ATAC-seq datasets from the craniofacial regions of the human and mouse embryos.
Source: https://figshare.com/articles/dataset/Mammalian_Craniofacial_Epigenetics/15085245/5
Academic Torrents
by Gavin Brown; Jeremy L. Wyatt; Peter Tio
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Source: http://academictorrents.com/details/b6457f6bfce562a8be2919e559d5c11c6acfb75c
Academic Torrents
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Source: http://academictorrents.com/details/757245e31fd10a11c8794d3384dbffbdf97fd1e1
Academic Torrents
by Michael Collins; Amir Globerson; Terry Koo; Xavier Carreras; Peter L. Bartlett
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Source: http://academictorrents.com/details/b32416de370acf8ec5131d8f4099675600e114c4
Academic Torrents
by Mikhail Belkin; Partha Niyogi; Vikas Sindhwani
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Source: http://academictorrents.com/details/f3a3b1a97bd8fdb762685f05318b822e295fa059
Academic Data and Datasets
by Steven Rubinyi
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I've included an ESRI ArcMap document, the accompanying ESRI Geodatabase, as well as the toolkit and code for the models used in the analysis.
Source: https://figshare.com/articles/dataset/Map_Document_Geodatabase_and_Code/11444808/2
Academic Torrents
by SHA2048
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This is a dataset containing 160,053 Unique Images of real Maplestory players. Could be used to create a GAN or for other applications. If you make something cool with this, I would love to hear about it! :D Examples: https://i.imgur.com/TQqRSuj.jpg
Topics: Dataset, images, Gaming, Maplestory, GAN
Source: http://academictorrents.com/details/34263e708a9953126633af2405dafe8f3185c994
Academic Data and Datasets
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This is a mirror of the Mapping Police Violence spreadsheet, as downloaded from  https://mappingpoliceviolence.org/  on 2020-06-01. See that site for links to reporting, to donate, and for more context in general. A mirror of the website is also preserved in wayback:  http://web.archive.org/web/20200602001333/https://mappingpoliceviolence.org/
Academic Torrents
by Crossref
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A data file of the public elements from Crossref’s 112.5 million metadata records (in JSON format). Note that this Crossref metadata is always openly available. The difference here is that we’ve done the time-saving work of putting all of the records registered through March 2020 into one file for download. To keep this metadata current, you can access new records via our public API at: https://api.crossref.org And, if you do use our API, we encourage you to read the section of the...
Topic: Crossref bibliographic metadata journals books conference proceedings
Source: http://academictorrents.com/details/0c6c3fbfdc13f0169b561d29354ea8b188eb9d63
Academic Torrents
by Robert Tibshirani; Trevor Hastie
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Source: http://academictorrents.com/details/26038553c5011297c6784264b8895edc840a130a
Academic Torrents
by Cynthia Rudin; Robert E. Schapire
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Source: http://academictorrents.com/details/6cd0a8f32126a69e15a2cd64214f78ba1d794552
Academic Torrents
by Shaowei Lin; Bernd Sturmfels; Zhiqiang Xu
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Source: http://academictorrents.com/details/60f075fed1a4fd3d039561039957fa80bdead00c
Academic Torrents
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Source: http://academictorrents.com/details/91c569762ad4c2cee8abb9afab37b8e5cff93f6a