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Diffstat (limited to 'site/datasets/unknown')
| -rw-r--r-- | site/datasets/unknown/adience.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/flickr_faces.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/helen.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/images_of_groups.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/megaage.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/megaface.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/pipa.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/voc.json | 2 |
8 files changed, 8 insertions, 8 deletions
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Rat Apical Periodontitis.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28359664", "https://doi.org/10.1016/j.joen.2017.01.006"]}, {"id": "7ff94c660316845cb332a03746f7e0d247de0641", "title": "A minimax dictionary expansion for sparse continuous reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081587"]}, {"id": "f44c10db09370a58b4c3ad84f0c9dd120bbd9708", "title": "Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f44c/10db09370a58b4c3ad84f0c9dd120bbd9708.pdf"], "doi": []}, {"id": "d63845d9e827e856c5f83edfbc6ff3c2dc45832d", "title": "Experimental Study for Improving the Repair of Magnesium\u2013Aluminium Hybrid Parts by Turning Processes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d638/45d9e827e856c5f83edfbc6ff3c2dc45832d.pdf"], "doi": []}, {"id": "0ffd4ce5937cc796c788b1927314faff256d3b01", "title": "CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0ffd/4ce5937cc796c788b1927314faff256d3b01.pdf"], "doi": []}, {"id": "50aa5b7b8c9f16f68f2d8d2c6309171080f94d44", "title": "Trends in primary angioplasty in Portugal from 2002 to 2013 according to the Portuguese National Registry of Interventional Cardiology.", "year": "2016", "pdf": ["http://repositorio.chlc.min-saude.pt/bitstream/10400.17/2554/1/RPC%202016%20395.pdf", "https://repositorio.hff.min-saude.pt/bitstream/10400.10/1773/1/RPC%202016%20395.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27396628", "https://doi.org/10.1016/j.repc.2016.01.005"]}, {"id": "0076d3619c355df661d7f11019de786d1f3be733", "title": "Capacitive Multielectrode Direct-Imaging Sensor for the Visualization of Two-Phase Flows", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7971928"]}, {"id": "f9012529c898b52df3753c7110c729c6ef14b1bf", "title": "Analisa Kegagalan Pada Hanger Tube Outlet Section Secondary Superheater Boiler Pipa Air Tipe IHI-FW SR 643000 Kg/Jam", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f901/2529c898b52df3753c7110c729c6ef14b1bf.pdf"], "doi": []}, {"id": "1d25e3a007d26edc48a302b8d5a4d1c9e0a63e9a", "title": "RANCANG BANGUN DAPUR KETEL UAP PIPA API MINI MODEL HORIZONTAL ALAT PENDUKUNG INDUSTRI TAHU DENGAN JENIS BAHANBAKAR BIOMASSA", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/1d25/e3a007d26edc48a302b8d5a4d1c9e0a63e9a.pdf"], "doi": []}, {"id": "f4bd5b586fc4a28344c3c3f568bf9c708e3d664f", "title": "Implementasi Algoritma Solin Dalam Menentukan Minimum Spanning Tree Pada Pembuatan Jalur Pipa Air Di Universitas Sumatera Utara", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/f4bd/5b586fc4a28344c3c3f568bf9c708e3d664f.pdf"], "doi": []}, {"id": "b90cc7d10ab3d519c374aad112b570592e471235", "title": "Analisis Kekuatan Tarik Dan Struktur Mikro Pada Sambungan T-Joint Dan Butt Joint Pipa Alumunium Dengan Metode Soldering", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b90c/c7d10ab3d519c374aad112b570592e471235.pdf"], "doi": []}, {"id": "9b05066bf6920b22c27027047ddc29201b557864", "title": "SIMULASI NUMERIK PENGARUH SUDUT KEMIRINGAN TERHADAP PENINGKATAN PERPINDAHAN PANAS PADA PENUKAR KALOR PIPA KONSENTRIK DENGAN LOUVERED STRIP INSERT", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/9b05/066bf6920b22c27027047ddc29201b557864.pdf"], "doi": []}, {"id": "b69191cd45ef577effd94f64c3ebd56cb03062dc", "title": "Analisis Kekuatan Tarik dan Struktur Mikro pada Sambungan T- Joint dan Butt Joint Pipa Aluminium dengan Metode TIG Argon Welding", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b691/91cd45ef577effd94f64c3ebd56cb03062dc.pdf"], "doi": []}, {"id": "390517f44e993787f79114e964f6f01f325aec57", "title": "A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1162/neco_a_01057", "https://www.ncbi.nlm.nih.gov/pubmed/29342400", "https://www.wikidata.org/entity/Q47727523"]}, {"id": "e03b08ab948154d563216e1da787730026b7aba9", "title": "A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00756", "https://www.ncbi.nlm.nih.gov/pubmed/26079751", "https://www.wikidata.org/entity/Q40830687"]}, {"id": "da3e0ed850672cc115d6390b783c45760006956e", "title": "USULAN PERBAIKAN KUALITAS PRODUK PIPA BAJA LAS SPIRAL MENGGUNAKAN METODE SIX SIGMA BERDASARKAN DESIGN OF EXPERIMENT (DOE) DI PT. XYZ", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/da3e/0ed850672cc115d6390b783c45760006956e.pdf"], "doi": []}, {"id": "c893c34eaeb71a5156b55f6a75546e22e5d3c8cc", "title": "OPTIMASI DIAMETER JARINGAN PIPA DALAM SISTEM PENYEDIAAN AIR BERSIH (PDAM) DI KEC. BULULAWANG KAB. MALANG MENGGUNAKAN LINEAR PROGRAMMING", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/c893/c34eaeb71a5156b55f6a75546e22e5d3c8cc.pdf"], "doi": []}, {"id": "5b8402207c63e252ea6dc36c18282b5f0439a24c", "title": "Perbandingan Penggunaan Topikal Spray Benzidamin HCl 0,15% dan Gel Lidokain 2% pada Pipa Endotrakeal terhadap Kejadian Nyeri Tenggorok Pascaintubasi Endotrakeal", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/5b84/02207c63e252ea6dc36c18282b5f0439a24c.pdf"], "doi": []}, {"id": "c6011da80ccf3e8962af5e89cf68174741f2024d", "title": "Improving Spatial Resolution of Raman DTS Using Total Variation Deconvolution", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7431976"]}, {"id": "33d504a7d722f3364d013d79c706472e847bf9c6", "title": "Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.dsp.2015.09.009"]}, {"id": "f9cf08cc86c27f9cfd3741ef61d33a23405233dc", "title": "Thermal Imaging of Hydroelectric Generator Stator Using a DTS System", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7226789"]}, {"id": "0b43e67d9b719834d81f9a90006930192c0dd446", "title": "Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7914650"]}, {"id": "2a53973a7c9c406f80f2723ea326621c3ffdbaf8", "title": "Impact of Routine Fractional Flow Reserve Evaluation During Coronary Angiography on Management Strategy and Clinical Outcome: One-Year Results of the POST-IT.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/c2d7/f369b0490a7e1dabd69aea510c1c3ccd4ddb.pdf"], "doi": []}, {"id": "59ffed5fe8ec66d88ec9c20c4aae8b273dddde35", "title": "Homeostatic Plasticity for Single Node Delay-Coupled Reservoir Computing", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00737", "https://www.ncbi.nlm.nih.gov/pubmed/25826022", "https://www.wikidata.org/entity/Q50591832"]}, {"id": "a9a2dba14036f3c0a83348a4e510a8b3bdf9ed1a", "title": "EFISIENSI NATRIUM SILIKAT (Na2SiO3) HASIL EKSTRAKSI DARI LUMPUR LAPINDO SEBAGAI INHIBITOR KOROSI PADA PIPA DUCTILE CAST IRON DI LINGKUNGAN AIR LAUT", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/a9a2/dba14036f3c0a83348a4e510a8b3bdf9ed1a.pdf"], "doi": []}, {"id": "a3a793acf9011ed725e5d29b04a33ed726555284", "title": "Penerapan Persamaan Navier-Stokes Untuk Kasus Aliran Fluida Laminer Pada Pipa Tidak Horizontal Application of Navier-Stokes Equations To Laminar Fluid Flow Case In Unhorizontal Pipe", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a3a7/93acf9011ed725e5d29b04a33ed726555284.pdf"], "doi": []}, {"id": "c0f7a3560ddc0971a07fabc24eef2923aa0c2c4f", "title": "Bach , or Busoni ?-How insightful fingering options may enlighten the original spirit of the Chaconne in D minor by Lu\u00eds Pipa", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c0f7/a3560ddc0971a07fabc24eef2923aa0c2c4f.pdf"], "doi": []}, {"id": "90935ceacbaa6c28851053cfa99530badfc55b5b", "title": "Pengaruh Katup Ekspansi Termostatik Dan Pipa Kapiler Terhadap Temperatur Dan Tekanan Pada Mesin Pendingin Siklus Kompresi Uap Menggunakan Refrigeran HCR-134A", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9093/5ceacbaa6c28851053cfa99530badfc55b5b.pdf"], "doi": []}, {"id": "e3706a34aed7814c0a4d2a8ff1386da366e8f5f4", "title": "ANALISIS KERUSAKAN PIPA BAFFLE PADA SISTEM HEAT EXCHANGER SUATU PROSES TRANSFER PANAS[Failure Analysis of Baffle Tube on Heat Exchanger System in Heat Transfer Process]", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e370/6a34aed7814c0a4d2a8ff1386da366e8f5f4.pdf"], "doi": []}, {"id": "3fbab1d324c3f2775357ee57aea23544734c67c4", "title": "Creencias y actitudes de adolescentes espan\u0303oles hacia el consumo de tabaco en pipa de agua Beliefs and attitudes of spanish adolescents regarding waterpipe smoking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4606/e8d76a63d4b4e1bdfe0f4236d406c96e38f6.pdf"], "doi": []}, {"id": "2c9e8b3774b17114b749b92cb805c8b67f1ce932", "title": "The Program for the Prevention of Childhood Asthma: a specialized care program for children with wheezing or asthma in Brazil.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2c9e/8b3774b17114b749b92cb805c8b67f1ce932.pdf"], "doi": []}, {"id": "b9b7688ab8fe5654913afffc64511d1911c2cf08", "title": "Precipitant induced porosity augmentation of polystyrene preserves the chondrogenicity of human chondrocytes.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27490738", "https://doi.org/10.1002/jbm.a.35853"]}, {"id": "b63d06e096ea32865ec08f674f8d6c52ed51b9d8", "title": "PENGARUH PEMANASAN BAHAN BAKAR MELALUI PIPA TEMBAGA BERSIRIP RADIAL DI DALAM UPPER TANK RADIATOR DAN PENAMBAHAN ETANOL PADA BAHAN BAKAR TERHADAP EMISI GAS BUANG CO DAN HC MOBIL SUZUKI APV", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b63d/06e096ea32865ec08f674f8d6c52ed51b9d8.pdf"], "doi": []}, {"id": "2b15d8074f3d1690d127684b1dd03c517f7ee47a", "title": "PENGARUH PEMANASAN BAHAN BAKAR BENSIN MELALUI PIPA KAPILER BERSIRIP TRANSVERSAL DI DALAM UPPER TANK RADIATOR DAN PUTARAN MESIN TERHADAP EMISI GAS BUANG CO DAN HC PADA MOBIL TOYOTA CORONA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/2b15/d8074f3d1690d127684b1dd03c517f7ee47a.pdf"], "doi": []}, {"id": "069853c8d0cc1b35c2e36bdbb897d85b86f163a6", "title": "Putative invasive pulmonary aspergillosis in critically ill patients with chronic obstructive pulmonary disease: a matched cohort study.", "year": "2015", "pdf": ["https://ccforum.biomedcentral.com/track/pdf/10.1186/s13054-015-1140-1?site=ccforum.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26631029", "https://doi.org/10.1186/s13054-015-1140-1"]}, {"id": "a6910ac5716543e4206f8a71b5270d4ddf64145f", "title": "banyak digunakan untuk berbagai komponen permesinan: impeller pompa, bantalan, pipa. perabotan rumah tangga. Berbagai upaya telah dilakukan untuk mengurangi dampak korosi terhadap baja tersebut dan umumnya masyarakat cendrung memilih cat sebagai pelindung. Melapis baja dan kuningan dengan logam non ", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/a691/0ac5716543e4206f8a71b5270d4ddf64145f.pdf"], "doi": []}, {"id": "8aca39c5dcef4a39f0a0abf0e49a0863abbd4deb", "title": "The diversity and evolution of anuran skin peptides", "year": "2015", "pdf": ["https://uol.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf", "https://www.uni-oldenburg.de/fileadmin/user_upload/biologie/ag/systematik/download/Publications/Papers/peptideDiversity.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978114003295?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2014.11.003", "https://www.ncbi.nlm.nih.gov/pubmed/25464160"]}, {"id": "11c5b33a4c9ea4b6027ab5661d5bf1f675708dc4", "title": "State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1162/NECO_a_00828", "https://www.ncbi.nlm.nih.gov/pubmed/26942749", "https://www.wikidata.org/entity/Q41529942"]}, {"id": "e663920ef9fa493a51b7481dc011777ce15acc14", "title": "Engaging stakeholders: lessons from the use of participatory tools for improving maternal and child care health services", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0271-z?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297336", "https://doi.org/10.1186/s12961-017-0271-z"]}, {"id": "04faa337b60e88515cc17de27f34af2c32b6f247", "title": "Endoscopic-Assisted Posterior Intradural Petrous Apicectomy in Petroclival Meningiomas: A Clinical Series and Assessment of Perioperative Morbidity.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26210709", "https://doi.org/10.1016/j.wneu.2015.07.033"]}, {"id": "c7c97ed2216178da69515fa1f27d151bb89aef25", "title": "Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/scitranslmed.aaf6219", "https://www.ncbi.nlm.nih.gov/pubmed/27384348"]}, {"id": "762cb4cb85cb008a0a761c9426b88d80df2674c0", "title": "Multiple successional pathways in human-modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research.", "year": "2017", "pdf": ["http://www.iies.unam.mx/laboratorios/ecologia-manejo-bosques-tropicales/wp-content/uploads/2016/09/Arroyo-Rodriguez_et_al_Biological_Reviews.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26537849", "https://doi.org/10.1111/brv.12231"]}, {"id": "58893160f547a60f99f326c873ce3b445d5101f7", "title": "Performance variation in motor imagery brain\u2013computer interface: A brief review", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000400?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.01.033", "https://www.ncbi.nlm.nih.gov/pubmed/25668430"]}, {"id": "bdd6d98f9ff90830d89db8e2f08f5076b118d31d", "title": "Making waves: The science and politics of ocean protection", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1126/science.aad5443", "https://www.ncbi.nlm.nih.gov/pubmed/26472764"]}, {"id": "ad432217ceb8bb00f60e1657839f724585f3b49a", "title": "Communication through coherence with inter-areal delays", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438814002165", "https://doi.org/10.1016/j.conb.2014.11.001", "https://www.ncbi.nlm.nih.gov/pubmed/25460074"]}, {"id": "8792f75252a22022016e8bcd3e84ec6de8c7480a", "title": "The temporal paradox of Hebbian learning and homeostatic plasticity", "year": "2017", "pdf": ["http://fzenke.net/wp-content/uploads/preprints/2017-temporal_paradox-preprint_v3.pdf", "http://icwww.epfl.ch/~gerstner/PUBLICATIONS/Zenke17.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438817300910?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.conb.2017.03.015", "https://www.ncbi.nlm.nih.gov/pubmed/28431369"]}, {"id": "0e4e4360a361df23a890bca6f3d9b100e7722a49", "title": "Plasmonic Metasurface for Directional and Frequency-Selective Thermal Emission", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0e4e/4360a361df23a890bca6f3d9b100e7722a49.pdf"], "doi": []}, {"id": "7b738415fa91a6c640bfc2b4d23ad458ceb19f48", "title": "A peer-to-peer approach to energy production", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7b73/8415fa91a6c640bfc2b4d23ad458ceb19f48.pdf"], "doi": []}, {"id": "e4e5581780967fddfefbff35794a206e239f6e22", "title": "Peptidomic analysis of skin secretions of the Mexican burrowing toad <ce:italic>Rhinophrynus dorsalis</ce:italic> (Rhinophrynidae): Insight into the origin of host-defense peptides within the Pipidae and characterization of a proline-arginine-rich peptide", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978117302954?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2017.09.012", "https://www.ncbi.nlm.nih.gov/pubmed/28951157"]}, {"id": "cb55a62a809ed7343da15b1ac001e45d14b88abe", "title": "Stage-dependent behavioural changes but early castration induced by the acanthocephalan parasite Polymorphus minutus in its Gammarus pulex intermediate host.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28831959", "https://doi.org/10.1017/S0031182017001457"]}, {"id": "0997f95691073dfc5bb9d69d225d7541791792f1", "title": "Circulating RNAs as new biomarkers for detecting pancreatic cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26229396", "https://doi.org/10.3748/wjg.v21.i28.8527"]}, {"id": "44f2fa3b2b6dc991b8d814c05d771d6dc7359c87", "title": "A microRNA signature in circulating exosomes is superior to exosomal glypican-1 levels for diagnosing pancreatic cancer", "year": "2017", "pdf": ["https://scholarworks.iupui.edu/bitstream/handle/1805/13821/nihms854566.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28232049", "https://doi.org/10.1016/j.canlet.2017.02.019"]}, {"id": "24a27f15b9b429a9bcaed8f6072bf5c80e8ff8c1", "title": "Reversible data hiding: Advances in the past two decades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479451"]}, {"id": "ef148b38ee53fdc2517826bef8302b512f570ef4", "title": "Micro-connectomics: probing the organization of neuronal networks at the cellular scale", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nrn.2016.182", "https://www.ncbi.nlm.nih.gov/pubmed/28148956"]}, {"id": "d4fa14c6f29f191385292e8205fcc1bf95933a57", "title": "Large T and small T antigens of Merkel cell polyomavirus.", "year": "2015", "pdf": ["http://tumorvirology.pitt.edu/wp-content/uploads/2015/02/nihms683808.pdf"], 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and treatment of pythiosis in an experimental model.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30260397", "https://doi.org/10.1093/mmy%2Fmyy078"]}, {"id": "5f69a29144e6f2fa57bfaa373775e19aa0076a4c", "title": "Proximal Interruption of the Pulmonary Artery.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30376479", "https://doi.org/10.1097/rti.0000000000000373"]}, {"id": "7471eccb264ebca7ebfd8845aa84a3bad9c47d0f", "title": "Environmental risk assessment of cobalt and manganese from industrial sources in an estuarine system.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28861663", "https://doi.org/10.1007/s10653-017-0020-9"]}, {"id": "4cad181fc771bf493fc246d84d79f6328960f968", "title": "\"We Had a Beautiful Home . . . But I Think I'm Happier Here\": A Good or Better Life in Residential Aged Care.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26035883", "https://doi.org/10.1093/geront%2Fgnu169"]}, {"id": "c0b72663afbac482233684f9991cc411824d26d6", "title": "Family Reflections on Our Amazing Journey with Dad-Professor Rhoton.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27318312", "https://doi.org/10.1016/j.wneu.2016.06.038"]}, {"id": "7029e98eff8173148c26200915986baa16192149", "title": "Parasitoid wasp usurps its host to guard its pupa against hyperparasitoids and induces rapid behavioral changes in the parasitized host", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7029/e98eff8173148c26200915986baa16192149.pdf"], "doi": []}, {"id": "e0e502d95efa97533c89c2c0621fd7269bb3d495", "title": "A Family of Salmonella Type III Secretion Effector Proteins Selectively Targets the NF-\u03baB Signaling Pathway to Preserve Host Homeostasis.", 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Sound of Motions", "year": "2019", "pdf": ["https://arxiv.org/pdf/1904.05979.pdf"], "doi": []}, {"id": "be16b4c57b465781490be93d2364a6d72fa19d10", "title": "Molecular Phylogenies indicate a Paleo-Tibetan Origin of Himalayan Lazy Toads (Scutiger)", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-03395-4", "https://www.ncbi.nlm.nih.gov/pubmed/28607415"]}, {"id": "adc902e63cc57963f9b592db9422407ccf5513b3", "title": "Meeting the challenge of DNA barcoding Neotropical amphibians: polymerase chain reaction optimization and new COI primers.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28029226", "https://doi.org/10.1111/1755-0998.12648"]}, {"id": "d4af02345a2b395f68fff9fc9fda980fa3cb2a99", "title": "Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda", "year": "2017", "pdf": 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laevis using contrast-enhanced computed tomography.", "year": "2017", "pdf": ["http://discovery.ucl.ac.uk/10070983/1/Porro_10925%20_edited.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28547827", "https://doi.org/10.1111/joa.12625"]}, {"id": "5f353acdcef2f7a3b52af35ee180b332013cffdf", "title": "Genetics and Genetic Biomarkers in Sporadic Colorectal Cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26216840", "https://doi.org/10.1053/j.gastro.2015.06.047"]}, {"id": "9e31cd0f454fda3945029ea4b89e2221db6e5e7d", "title": "Socio-structural and psychological foundations of climate change beliefs", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/9e31/cd0f454fda3945029ea4b89e2221db6e5e7d.pdf"], "doi": []}, {"id": "0a486d331c6f960a8fa7e7b2ced22109703eed44", "title": "Data-Driven Topological Filtering Based on Orthogonal Minimal Spanning Trees: Application to Multigroup Magnetoencephalography Resting-State Connectivity.", "year": "2017", "pdf": [], 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Rat Apical Periodontitis.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28359664", "https://doi.org/10.1016/j.joen.2017.01.006"]}, {"id": "7ff94c660316845cb332a03746f7e0d247de0641", "title": "A minimax dictionary expansion for sparse continuous reconstruction", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081587"]}, {"id": "f44c10db09370a58b4c3ad84f0c9dd120bbd9708", "title": "Sparse Reconstruction for Temperature Distribution Using DTS Fiber Optic Sensors with Applications in Electrical Generator Stator Monitoring", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/f44c/10db09370a58b4c3ad84f0c9dd120bbd9708.pdf"], "doi": []}, {"id": "d63845d9e827e856c5f83edfbc6ff3c2dc45832d", "title": "Experimental Study for Improving the Repair of Magnesium\u2013Aluminium Hybrid Parts by Turning Processes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d638/45d9e827e856c5f83edfbc6ff3c2dc45832d.pdf"], "doi": 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espan\u0303oles hacia el consumo de tabaco en pipa de agua Beliefs and attitudes of spanish adolescents regarding waterpipe smoking", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/4606/e8d76a63d4b4e1bdfe0f4236d406c96e38f6.pdf"], "doi": []}, {"id": "2c9e8b3774b17114b749b92cb805c8b67f1ce932", "title": "The Program for the Prevention of Childhood Asthma: a specialized care program for children with wheezing or asthma in Brazil.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/2c9e/8b3774b17114b749b92cb805c8b67f1ce932.pdf"], "doi": []}, {"id": "b9b7688ab8fe5654913afffc64511d1911c2cf08", "title": "Precipitant induced porosity augmentation of polystyrene preserves the chondrogenicity of human chondrocytes.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27490738", "https://doi.org/10.1002/jbm.a.35853"]}, {"id": "b63d06e096ea32865ec08f674f8d6c52ed51b9d8", "title": "PENGARUH PEMANASAN BAHAN BAKAR MELALUI PIPA TEMBAGA BERSIRIP RADIAL DI DALAM 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"https://www.ncbi.nlm.nih.gov/pubmed/26942749", "https://www.wikidata.org/entity/Q41529942"]}, {"id": "e663920ef9fa493a51b7481dc011777ce15acc14", "title": "Engaging stakeholders: lessons from the use of participatory tools for improving maternal and child care health services", "year": "2017", "pdf": ["https://health-policy-systems.biomedcentral.com/track/pdf/10.1186/s12961-017-0271-z?site=health-policy-systems.biomedcentral.com"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29297336", "https://doi.org/10.1186/s12961-017-0271-z"]}, {"id": "04faa337b60e88515cc17de27f34af2c32b6f247", "title": "Endoscopic-Assisted Posterior Intradural Petrous Apicectomy in Petroclival Meningiomas: A Clinical Series and Assessment of Perioperative Morbidity.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26210709", "https://doi.org/10.1016/j.wneu.2015.07.033"]}, {"id": "c7c97ed2216178da69515fa1f27d151bb89aef25", "title": "Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1126/scitranslmed.aaf6219", "https://www.ncbi.nlm.nih.gov/pubmed/27384348"]}, {"id": "762cb4cb85cb008a0a761c9426b88d80df2674c0", "title": "Multiple successional pathways in human-modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research.", "year": "2017", "pdf": ["http://www.iies.unam.mx/laboratorios/ecologia-manejo-bosques-tropicales/wp-content/uploads/2016/09/Arroyo-Rodriguez_et_al_Biological_Reviews.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26537849", "https://doi.org/10.1111/brv.12231"]}, {"id": "58893160f547a60f99f326c873ce3b445d5101f7", "title": "Performance variation in motor imagery brain\u2013computer interface: A brief review", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0165027015000400?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.jneumeth.2015.01.033", "https://www.ncbi.nlm.nih.gov/pubmed/25668430"]}, {"id": "bdd6d98f9ff90830d89db8e2f08f5076b118d31d", "title": "Making waves: The science and politics of ocean protection", "year": "2015", "pdf": [], "doi": ["https://doi.org/10.1126/science.aad5443", "https://www.ncbi.nlm.nih.gov/pubmed/26472764"]}, {"id": "ad432217ceb8bb00f60e1657839f724585f3b49a", "title": "Communication through coherence with inter-areal delays", "year": "2015", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438814002165", "https://doi.org/10.1016/j.conb.2014.11.001", "https://www.ncbi.nlm.nih.gov/pubmed/25460074"]}, {"id": "8792f75252a22022016e8bcd3e84ec6de8c7480a", "title": "The temporal paradox of Hebbian learning and homeostatic plasticity", "year": "2017", "pdf": ["http://fzenke.net/wp-content/uploads/preprints/2017-temporal_paradox-preprint_v3.pdf", "http://icwww.epfl.ch/~gerstner/PUBLICATIONS/Zenke17.pdf"], "doi": ["https://www.sciencedirect.com/science/article/pii/S0959438817300910?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.conb.2017.03.015", "https://www.ncbi.nlm.nih.gov/pubmed/28431369"]}, {"id": "0e4e4360a361df23a890bca6f3d9b100e7722a49", "title": "Plasmonic Metasurface for Directional and Frequency-Selective Thermal Emission", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/0e4e/4360a361df23a890bca6f3d9b100e7722a49.pdf"], "doi": []}, {"id": "7b738415fa91a6c640bfc2b4d23ad458ceb19f48", "title": "A peer-to-peer approach to energy production", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/7b73/8415fa91a6c640bfc2b4d23ad458ceb19f48.pdf"], "doi": []}, {"id": "e4e5581780967fddfefbff35794a206e239f6e22", "title": "Peptidomic analysis of skin secretions of the Mexican burrowing toad <ce:italic>Rhinophrynus dorsalis</ce:italic> (Rhinophrynidae): Insight into the origin of host-defense peptides within the Pipidae and characterization of a proline-arginine-rich peptide", "year": "2017", "pdf": [], "doi": ["https://www.sciencedirect.com/science/article/pii/S0196978117302954?dgcid=api_sd_search-api-endpoint", "https://doi.org/10.1016/j.peptides.2017.09.012", "https://www.ncbi.nlm.nih.gov/pubmed/28951157"]}, {"id": "cb55a62a809ed7343da15b1ac001e45d14b88abe", "title": "Stage-dependent behavioural changes but early castration induced by the acanthocephalan parasite Polymorphus minutus in its Gammarus pulex intermediate host.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28831959", "https://doi.org/10.1017/S0031182017001457"]}, {"id": "0997f95691073dfc5bb9d69d225d7541791792f1", "title": "Circulating RNAs as new biomarkers for detecting pancreatic cancer.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26229396", "https://doi.org/10.3748/wjg.v21.i28.8527"]}, {"id": "44f2fa3b2b6dc991b8d814c05d771d6dc7359c87", "title": "A microRNA signature in circulating exosomes is superior to exosomal glypican-1 levels for diagnosing pancreatic cancer", "year": "2017", "pdf": ["https://scholarworks.iupui.edu/bitstream/handle/1805/13821/nihms854566.pdf?isAllowed=y&sequence=1"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28232049", "https://doi.org/10.1016/j.canlet.2017.02.019"]}, {"id": "24a27f15b9b429a9bcaed8f6072bf5c80e8ff8c1", "title": "Reversible data hiding: Advances in the past two decades", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7479451"]}, {"id": "ef148b38ee53fdc2517826bef8302b512f570ef4", "title": "Micro-connectomics: probing the organization of neuronal networks at the cellular scale", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/nrn.2016.182", "https://www.ncbi.nlm.nih.gov/pubmed/28148956"]}, {"id": "d4fa14c6f29f191385292e8205fcc1bf95933a57", "title": "Large T and small T antigens of Merkel cell polyomavirus.", "year": "2015", "pdf": ["http://tumorvirology.pitt.edu/wp-content/uploads/2015/02/nihms683808.pdf"], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25681708", "https://doi.org/10.1016/j.coviro.2015.01.009"]}, {"id": "7d482684699bb5ea45cfbfa5d086c939dc675e3e", "title": "Glutamine Synthetase activity fuels nucleotide biosynthesis and supports growth of glutamine-restricted glioblastoma", "year": "2015", "pdf": ["http://www.cs.tau.ac.il/~ruppin/ncb_glutamine.pdf", "https://sure.sunderland.ac.uk/6005/1/Shafiq%20Ahmed%20NCB%20manuscript.pdf"], "doi": ["https://doi.org/10.1038/ncb3272", "https://www.ncbi.nlm.nih.gov/pubmed/26595383"]}, {"id": "607b3b5b0022ac23097d608cd14ef1a5bf23ca12", "title": "Trends in Primary Proximal Interphalangeal Joint System and Revisions for Osteoarthritis of the Hand in the Medicare Database.", "year": "2019", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30895813", "https://doi.org/10.1177/1558944719837009"]}, {"id": "002d2fd1afc5a2cb0c298cfbb0dd47e3fd3ba5d3", "title": "Intradermal injection of Pythium insidiosum protein antigens for improved diagnosis and treatment of pythiosis in an experimental model.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30260397", "https://doi.org/10.1093/mmy%2Fmyy078"]}, {"id": "5f69a29144e6f2fa57bfaa373775e19aa0076a4c", "title": "Proximal Interruption of the Pulmonary Artery.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30376479", "https://doi.org/10.1097/rti.0000000000000373"]}, {"id": "7471eccb264ebca7ebfd8845aa84a3bad9c47d0f", "title": "Environmental risk assessment of cobalt and manganese from industrial sources in an estuarine system.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28861663", "https://doi.org/10.1007/s10653-017-0020-9"]}, {"id": "4cad181fc771bf493fc246d84d79f6328960f968", "title": "\"We Had a Beautiful Home . . . But I Think I'm Happier Here\": A Good or Better Life in Residential Aged Care.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/26035883", "https://doi.org/10.1093/geront%2Fgnu169"]}, {"id": "c0b72663afbac482233684f9991cc411824d26d6", "title": "Family Reflections on Our Amazing Journey with Dad-Professor Rhoton.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27318312", "https://doi.org/10.1016/j.wneu.2016.06.038"]}, {"id": "7029e98eff8173148c26200915986baa16192149", "title": "Parasitoid wasp usurps its host to guard its pupa against hyperparasitoids and induces rapid behavioral changes in the parasitized host", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/7029/e98eff8173148c26200915986baa16192149.pdf"], "doi": []}, {"id": "e0e502d95efa97533c89c2c0621fd7269bb3d495", "title": "A Family of Salmonella Type III Secretion Effector Proteins Selectively Targets the NF-\u03baB Signaling Pathway to Preserve Host Homeostasis.", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/e0e5/02d95efa97533c89c2c0621fd7269bb3d495.pdf"], "doi": []}, {"id": "41b1f2b46ef1f24f2ad21c7f099c8dcc0aba040d", "title": "Shipboard design and fabrication of custom 3D-printed soft robotic manipulators for the investigation of delicate deep-sea organisms", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/0651/ebf243de458208ea334ee4af6014180aa528.pdf"], "doi": []}, {"id": "a73fdd6805609e4c6f99dd1892b46d044e5659bf", "title": "Some Info on Info Theory", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f525/0c6f836ebe7ce86e6ad38c5f885abe37b0a1.pdf"], "doi": []}, {"id": "e03f84ed63655b3d8d5b9395038bc5f90431989c", "title": "Unjuk Kerja Kolektor Surya Pelat Datar Aliran Paralel", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e03f/84ed63655b3d8d5b9395038bc5f90431989c.pdf"], "doi": []}, {"id": "a8e14753b6289dfc246ec0adf1bdb04fbeae0a38", "title": "Computations of electrical parameters of untransposed overhead 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in thermal imaging of hydroelectric generators stator using hybrid sensing with DTS and FBG", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7369058"]}, {"id": "dcb50f9b6dc8b2a76acc36d6bcf97b4f90a76079", "title": "A blind deconvolution approach to discontinuity location and characterization in ultrasonic nondestructive testing", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081660"]}, {"id": "87db784cb12e3c6428f1887d9b1c2ea3a7ca8310", "title": "Readmissions due to acute biliary edematous pancreatitis in patients without cholecystectomy.", "year": "2016", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/27444192", "https://doi.org/10.17235/reed.2016.4067%2F2015"]}, {"id": "5f0e25e1b0bc9ba0b6c6da0e8287121d57679c07", "title": "Cortical Spike Synchrony as a Measure of Input Familiarity.", "year": "2017", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/28599117", "https://doi.org/10.1162/NECO_a_00987"]}, {"id": "faa0aa8f099de54a0a998f7d8dbad1ed54ca5a9d", "title": "Omega-3 Fatty Acids Reduce Inflammation in Rat Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29397217", "https://doi.org/10.1016/j.joen.2017.12.008"]}, {"id": "27962824aa6b0fdcb7c804504bdd266990013e94", "title": "A conservative strategy in non-ST-segment elevation myocardial infarction - constraints and prognosis: The situation in Portugal.", "year": "2015", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/25935075", "https://doi.org/10.1016/j.repc.2014.10.006"]}, {"id": "914c1666e0ded7e89c65f947fbe8e32faab99c4c", "title": "Rats with Apical Periodontitis", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/914c/1666e0ded7e89c65f947fbe8e32faab99c4c.pdf"], "doi": []}, {"id": "8760f6723d251a503fc4f8246b18e2fe0d92fa00", "title": "Diagnostics of medium-voltage motors", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7161156"]}, {"id": "1d619eb5872e556587f9e55284aee8a41078a57e", "title": "Adaptive time corrected gain for ultrasound through time-varying Wiener deconvolution", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8081657"]}, {"id": "fc6d1b59fa61ac68d69f1a89ef7a7cade9cfc60f", "title": "Assessment and Comparison of the Four Most Extensively Validated Prognostic Scales for Intracerebral Hemorrhage: Systematic Review with Meta-analysis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/30426449", "https://doi.org/10.1007/s12028-018-0633-6"]}, {"id": "91539e6d466721c46a7b0a2477d0ae68808943c3", "title": "Omega 3 Fatty Acids Reduce the Triglyceride Levels in Rats with Apical Periodontitis.", "year": "2018", "pdf": [], "doi": ["https://www.ncbi.nlm.nih.gov/pubmed/29898064", "https://doi.org/10.1590/0103-6440201801702"]}, {"id": "5a6dd505b6ddffd1701b6257f9d0aeabfe24fd0a", 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"Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": 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Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, 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Tracking using Multi-Frame Multi-Feature Joint Modeling", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.07498.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "8211c974ec152e79235cb57a03ba2971e913508f", "title": "Multimodal Image Retrieval", "year": "2012", "pdf": [], "doi": ["https://doi.org/10.1007/s13735-012-0006-4"]}, {"id": "eb69f89588e9538194750f12bf8c8df6d5301f3b", "title": "Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/eb69/f89588e9538194750f12bf8c8df6d5301f3b.pdf"], "doi": []}, {"id": "d6bdc70d259b38bbeb3a78db064232b4b4acc88f", "title": "Video-Based Face Association and Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961735", 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"148686aebefff0a7fb3f80024f765ef4b06d2efc", "title": "Learning Rich Features from RGB-D Images for Object Detection and Segmentation", "year": "2014", "pdf": ["https://arxiv.org/pdf/1407.5736.pdf"], "doi": []}, {"id": "1fef45786e707e6b9b8517b0403e596ecbdea6a5", "title": "Sketch-based manga retrieval using manga109 dataset", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.04389.pdf"], "doi": []}, {"id": "4a19f6545473363b16d4a10ed13fef29b38856d3", "title": "What is a Salient Object? 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"Unsupervised Multi-class Joint Image Segmentation", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909798"]}, {"id": "72048081cfe678f700c52e1c7a56713a8e0865b6", "title": "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.02074.pdf"], "doi": []}, {"id": "9cd8a2d07f07d888fcf50aa0735d0831edcf5e46", "title": "Bag of contour fragments for robust shape classification", "year": "2014", "pdf": ["http://cis-linux1.temple.edu/~latecki/Papers/XinggangPR2014.pdf", "http://mc.eistar.net/~xwang/pubs/BagOfShape.pdf", "http://mclab.eic.hust.edu.cn/~xwang/pubs/BagOfShape.pdf", "https://cis.temple.edu/~latecki/Papers/XinggangPR2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.12.008"]}, {"id": "8c21cd8d5e98c77d727fc900450c6223f9e1fa24", "title": "DARE: Dynamic Adaptive Mobile Augmented Reality with Edge Computing", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8526799"]}, {"id": "7fe203374ba3ddc8462a7c775b276e53f09dd036", "title": "NavigationNet: A Large-scale Interactive Indoor Navigation Dataset", "year": "2018", "pdf": ["https://arxiv.org/pdf/1808.08374.pdf"], "doi": []}, {"id": "8f8599012002dd3bbb6526b3be92d7a7355ad22a", "title": "Construction et \u00e9valuation d'un corpus pour la recherche d'instances d'images mus\u00e9ales", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/8f85/99012002dd3bbb6526b3be92d7a7355ad22a.pdf"], "doi": []}, {"id": "ebf35073e122782f685a0d6c231622412f28a53b", "title": "A High-Quality Denoising Dataset for Smartphone Cameras", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578280"]}, {"id": "9463f71b2d8e291d5fc5a7db6b95b3d01e759b29", "title": "Describing Spatial Relationships between Objects in Images in English and French", "year": "2015", "pdf": 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["https://www.sciencedirect.com/science/article/pii/S001002771730269X?dgcid=api_sd_search-api-endpoint", "http://doi.org/10.1016/j.cognition.2017.10.006", "https://www.ncbi.nlm.nih.gov/pubmed/29107889"]}, {"id": "08c71fe89af5f168b373e92b44a7cf9d1755fb8c", "title": "The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition", "year": "2013", "pdf": ["http://infoscience.epfl.ch/record/182860/files/2013_ChavarriagaPRLETTERS_preprint.pdf?version=1", "https://www.researchgate.net/profile/Ricardo_Chavarriaga/publication/258031577_The_Opportunity_challenge_A_benchmark_database_for_on-body_sensor-based_activity_recognition/links/02e7e528146aa12213000000.pdf"], "doi": ["https://doi.org/10.1016/j.patrec.2012.12.014"]}, {"id": "8d73906f0a232e8b94200017e512446c1af4dd9d", "title": "Detection of U.S. Traffic Signs", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7116530"]}, {"id": "497857bce6ea1ed4889fb949a2f176072e2509c7", "title": "A Comparison of L_1 Norm and L_2 Norm Multiple Kernel SVMs in Image and Video Classification", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5137808"]}, {"id": "1d5f704a98d82c34de96ceb80fa06552082effd3", "title": "Dynamic Zoom-in Network for Fast Object Detection in Large Images", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578822"]}, {"id": "3de71ddc07619c0dd6bbaa3f7b412a9262a0e761", "title": "Discriminatively Trained And-Or Tree Models for Object Detection", "year": "2013", "pdf": ["http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d278.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Song_Discriminatively_Trained_And-Or_2013_CVPR_paper.pdf", "http://www.stat.ucla.edu/~sczhu/papers/Conf_2013/DiscriminativeAOG_cvpr2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619265", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.421", "http://doi.org/10.1109/CVPR.2013.421"]}, {"id": "18b4a20ed465972d9d8f3f8d8982d321acf45907", "title": "Mod\u00e9lisation de contextes pour l'annotation s\u00e9mantique de vid\u00e9os. (Context based modeling for video semantic annotation)", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/18b4/a20ed465972d9d8f3f8d8982d321acf45907.pdf"], "doi": []}, {"id": "992a614aa601c52b20729538ea25b62471ffe8bc", "title": "Towards Automatic Construction of Diverse, High-quality Image Dataset", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.06495.pdf"], "doi": []}, {"id": "53822d61e829ef02a95a6c89fea082114fd3e16b", "title": "A General Framework for Tracking Multiple People from a Moving Camera", "year": "2013", "pdf": ["http://www.willowgarage.com/sites/default/files/pami_preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6361406", "http://doi.org/10.1109/TPAMI.2012.248", "https://www.ncbi.nlm.nih.gov/pubmed/23681988", "https://www.wikidata.org/entity/Q48723090"]}, {"id": "323eb410e0d0978901a8baa670f905f280ab19ff", "title": "Inner-Scene Similarities as a Contextual Cue for Object Detection", "year": "2017", "pdf": ["https://arxiv.org/pdf/1707.04406.pdf"], "doi": []}, {"id": "7532996c27b199ed89b412a9f0df7483df83ea72", "title": "Committees of deep feedforward networks trained with few data", "year": "2014", "pdf": ["https://arxiv.org/pdf/1406.5947.pdf"], "doi": []}, {"id": "bf7238df8b3a7fc0ebf0e8028a417c7e99fca8d8", "title": "An ontology-based framework for the automated analysis and interpretation of comic books' images", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1016/j.ins.2016.10.032", "https://hal.archives-ouvertes.fr/hal-01387033/document"]}, {"id": "c6e042f9db094d3a01c13a9d3120fc6898f40cb8", "title": "Multi-label Classification for Image Annotation via Sparse Similarity Voting", "year": "2010", "pdf": ["http://naosite.lb.nagasaki-u.ac.jp/dspace/bitstream/10069/27087/1/LNCS6469_344.pdf", "https://page-one.springer.com/pdf/preview/10.1007/978-3-642-22819-3_35"], "doi": ["https://doi.org/10.1007/978-3-642-22819-3_35"]}, {"id": "2dd6749ddffa620d2ac40275a436ecd89aa51a45", "title": "Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images", "year": "2017", "pdf": ["http://www.mdpi.com/2072-4292/9/5/500/pdf"], "doi": ["https://doi.org/10.3390/rs9050500", "https://www.preprints.org/manuscript/201704.0061/v1/download"]}, {"id": "478261574ddc6cf297611000735aa9808f8f0030", "title": "ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.04405.pdf"], "doi": []}, {"id": "c5fcc36768428185c0ec0f04c82c9204c9ba962c", "title": "Deep Material-Aware Cross-Spectral Stereo Matching", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578303"]}, {"id": "e4fc560a78e48bd927c2f6253f5fc489927bb15f", "title": "Detecting objects in internet videos AIMS Project Report", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e4fc/560a78e48bd927c2f6253f5fc489927bb15f.pdf"], "doi": []}, {"id": "2049db406168f63c46e5efd2d5ceb5941e3fdc7c", "title": 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"http://www.ais.uni-bonn.de/papers/IJCV_2015_Stueckler_Motion_Segmentation.pdf"], "doi": ["https://doi.org/10.1007/s11263-014-0796-3"]}, {"id": "333b877ea761c5c1d4ffa39654fc19bd015e245d", "title": "Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7450190"]}, {"id": "0ecaabbf846bbc78c91bf7ff71b998b61c0082d8", "title": "Automated Visual Fin Identification of Individual Great White Sharks", "year": "2016", "pdf": ["https://arxiv.org/pdf/1609.06323.pdf"], "doi": []}, {"id": "28863c0f3a1aa186bf1c281c73784cf36e2bf361", "title": "Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes", "year": "2014", "pdf": ["http://eprints.whiterose.ac.uk/84865/1/ICPR14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976833", "http://doi.org/10.1109/ICPR.2014.123"]}, {"id": "054738ce39920975b8dcc97e01b3b6cc0d0bdf32", "title": "Towards the design of an end-to-end automated system for image and video-based recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1601.07883.pdf"], "doi": []}, {"id": "4446924885545b255164b32e42b8375bac699f23", "title": "Object semantic categorization based on ensemble SVM classifiers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7867229"]}, {"id": "fc2c39b6439623c00b10e8d9826b1c82e8487805", "title": "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017/papers/Mandal_Generalized_Semantic_Preserving_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8099765", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.282", "http://doi.org/10.1109/CVPR.2017.282"]}, {"id": "92cd808bba43c3702d8cbddde65ee42bf01676d4", "title": "A MultiPath Network for Object Detection", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.02135.pdf"], "doi": []}, {"id": "3bccc5621b14f2e6b07a5936acecdf957724c6ff", "title": "Convolutional Fisher Kernels for RGB-D Object Recognition", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7335478", "http://doi.ieeecomputersociety.org/10.1109/3DV.2015.23", "http://doi.org/10.1109/3DV.2015.23"]}, {"id": "0b67879b1d5db9da12490b41b4f52d12626e87bc", "title": "The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics", "year": "2012", "pdf": ["http://ijr.sagepub.com/content/31/8/927.full.pdf"], "doi": ["https://doi.org/10.1177/0278364912445831"]}, {"id": "98b4bf8cf8890f50b12e4fabe78bafd687a598c2", "title": "Semantic Labeling Based Vehicle Detection in Aerial Imagery", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354178"]}, {"id": "e03a2299caf2febcc7b87ee4e61e78ad8cb24e45", "title": "Combined 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Estimation: New Benchmark and State of the Art Analysis", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909866"]}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "bf26ccc92bca086195c5f250aef2e409a1c7cd85", "title": "Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8215524", "http://doi.ieeecomputersociety.org/10.1109/ICDM.2017.61", "http://doi.org/10.1109/ICDM.2017.61"]}, {"id": "ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1", "title": "An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ff3a/9545e73adea5275a1c7c71c5e3fe2e35a9a1.pdf"], "doi": []}, 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Jointly Estimating the 3D Shape of Multiple Objects", "year": "2014", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2014/papers/Zia_Are_Cars_Just_2014_CVPR_paper.pdf", "http://resources.mpi-inf.mpg.de/publications/D2/2014/zia14cvpr.pdf", "http://www.igp.ethz.ch/photogrammetry/publications/pdf_folder/cvpr2014zz.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909865", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.470", "http://doi.org/10.1109/CVPR.2014.470"]}, {"id": "f6b649023e49a341f042f9a17b2f923db58ccf35", "title": "Feature representation of RGB-D images using joint spatial-depth feature pooling", "year": "2016", "pdf": [], "doi": ["https://doi.org/10.1016/j.patrec.2016.04.001"]}, {"id": "f9f86d087e84eaf0e6a09575982aa7b41fa62451", "title": "Image Synthesis for Self-Supervised Visual Representation Learning", "year": "2018", "pdf": [], "doi": ["https://www.base-search.net/Record/6ecfef13a126fd20b941bbb80477b94bd643db70d224a43b1d0b0cb61aa181b1"]}, 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"https://www.wikidata.org/entity/Q43248757"]}, {"id": "e8e662e45e39249756d2b0090782434a5cf1f4aa", "title": "VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_ICCV_2017/papers/Hou_VegFru_A_Domain-Specific_ICCV_2017_paper.pdf", "http://openaccess.thecvf.com/content_ICCV_2017/supplemental/Hou_VegFru_A_Domain-Specific_ICCV_2017_supplemental.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237328", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2017.66", "http://doi.org/10.1109/ICCV.2017.66"]}, {"id": "54c7c3909c7e1e827befdbe8d2595a3b196ba1b8", "title": "AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578731"]}, {"id": "ac6c28cd866bccbbca54da8b7bd5b2e0d5e9d0b4", "title": "Cross-Dataset Learning of Visual Concepts", "year": "2012", "pdf": 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"f9c602cc436a9ea2f9e7db48c77d924e09ce3c32", "title": "Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms", "year": "2017", "pdf": ["https://arxiv.org/pdf/1708.07747.pdf"], "doi": []}, {"id": "3ecb007d46614d5e5566b0ad7c96c0c4c8ac0d14", "title": "Enhancing Object Recognition With Dynamic Cognitive Context", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/3ecb/007d46614d5e5566b0ad7c96c0c4c8ac0d14.pdf"], "doi": []}, {"id": "c8018f3dc6121d92da37f1756e7bd11a128aa55c", "title": "Region Filling and Object Removal by Exemplar based Image Inpainting", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/c801/8f3dc6121d92da37f1756e7bd11a128aa55c.pdf"], "doi": []}, {"id": "051d8bbf12877c46ae9a598a386c5b72d1b103ac", "title": "Object Detection using Geometrical Context Feedback", "year": "2012", "pdf": ["http://cvgl.stanford.edu/papers/Sun_IJCV_2012.pdf"], "doi": ["http://doi.org/10.1007/s11263-012-0547-2"]}, {"id": 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