id stringlengths 40 40 | query stringlengths 16 206 | target_ids listlengths 27 30 | scores listlengths 27 30 |
|---|---|---|---|
78495383450e02c5fe817e408726134b3084905d | A Direct Search Method to solve Economic Dispatch Problem with Valve-Point Effect | [
"632589828c8b9fca2c3a59e97451fde8fa7d188d",
"86e87db2dab958f1bd5877dc7d5b8105d6e31e46",
"2a047d8c4c2a4825e0f0305294e7da14f8de6fd3",
"506172b0e0dd4269bdcfe96dda9ea9d8602bbfb6",
"51317b6082322a96b4570818b7a5ec8b2e330f2f",
"857a8c6c46b0a85ed6019f5830294872f2f1dcf5",
"12f107016fd3d062dff88a00d6b0f5f81f00522... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7dcb308b9292a8bc87d6f7793d2ca5e0e19dfa40 | Bearish-Bullish Sentiment Analysis on Financial Microblogs | [
"110599f48c30251aba60f68b8484a7b0307bcb87",
"4b53f660eb6cfe9180f9e609ad94df8606724a3d",
"7f90ef42f22d4f9b86d33b0ad7f16261273c8612",
"033b62167e7358c429738092109311af696e9137",
"105a0b3826710356e218685f87b20fe39c64c706",
"9ea16bc34448ca9d713f4501f1a6215a26746372",
"746cafc676374114198c414d6426ec2f50e0ff8... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8c872ecd87945e71fcd9fa1b6cb1133cfe805bf2 | Predicting defects in SAP Java code: An experience report | [
"28d3ec156472c35ea8e1b7acad969b725111fe56",
"334c4806912d851ef2117e67728cfa624dbec9a3",
"383ca85aaca9f306ea7ae04fb0b6b76f1e393395",
"3ea9cd35f39e8c128f39f13148e91466715f4ee2",
"508119a50e3d4e8b7116c1b56a002de492b2270b",
"c0a39b1b64100b929ec77d33232513ec72089a2e",
"f9cf246008d745f883914d925567bb36df80661... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3a63667284dc8b9687ed1620406030bfe39af3c9 | Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images | [
"2ae40898406df0a3732acc54f147c1d377f54e2a",
"49e85869fa2cbb31e2fd761951d0cdfa741d95f3",
"bf07d60ba6d6c6b8cabab72dfce06f203782df8f",
"01996726f44253807537cec68393f1fce6a9cafa",
"0e1431fa42d76c44911b07078610d4b9254bd4ce",
"40cfac582cafeadb0e09e5f020e2febf5cbd4986",
"292eee24017356768f1f50b72701ea636dba798... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
071f47b7bc5830643e31dbed82e0375bf9b26559 | Ad Hoc Retrieval Experiments Using WordNet and Automatically Constructed Thesauri | [
"356f5f4224ee090a11e83a7e3cc130b2fdb0e612",
"37b0f219c1f2fbc4b432b24a5fe91dd733f19b7f",
"ca56018ed7042d8528b5a7cd8f332c5737b53b1f",
"e50a316f97c9a405aa000d883a633bd5707f1a34",
"fac511cc5079d432c7e010eee2d5a8d67136ecdd",
"6ac15e819701cd0d077d8157711c4c402106722c",
"035e9cd81d5dd3b1621fb14e00b452959daffdd... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ee9596725d1db17f2b1e2207dd3ea260343bfe4f | Underwater Acoustic Target Tracking: A Review | [
"5dd2b359fa6a0f7ebe3ca123df01b852bef08421",
"0435ef56d5ba8461021cf9e5d811a014ed4e98ac",
"11897106a75d5ba3bf5fb4677943bd6f33daadf7",
"1e7e4d2b2be08c01f1347dee53e99473d2a9e83d",
"93074961701ca6983a6c0fdc2964d11e282b8bae",
"5e296b53252db11667011b55e78bd4a67cd3e547",
"f5dbb5a0aeb5823d704077b372d0dd989d4ebe1... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a65196dfff31425281c690a7f2ca65247147da6b | Unsupervised Diverse Colorization via Generative Adversarial Networks | [
"10d710c01acb10c4aea702926d21697935656c3d",
"325d145af5f38943e469da6369ab26883a3fd69e",
"326a0914dcdf7f42b5e1c2887174476728ca1b9d",
"5287d8fef49b80b8d500583c07e935c7f9798933",
"57bbbfea63019a57ef658a27622c357978400a50",
"6ec02fb5bfc307911c26741fb3804f16d8ad299c",
"c2b6755543c3f7c71adb3e14eb06179f27b6ad5... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a04b5b99f5d9d8748843e870536a4a9f65562012 | Lane Detection ( Part I ) : Mono-Vision Based Method | [
"20f5b475effb8fd0bf26bc72b4490b033ac25129",
"27edbcf8c6023905db4de18a4189c2093ab39b23",
"4d2cd0b25c5b0f69b6976752ebca43ec5f04a461",
"1c0f7854c14debcc34368e210568696a01c40573",
"235aff8bdb65654163110b35f268de6933814c49",
"514ee2a4d6dec51d726012bd74b32b1e05f13271",
"944692d5d33fbc5f42294a8310380e0b057a132... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
de8e80d409aaaa3244da4f2cb5b5bb053d453cee | Detection of distributed denial of service attacks using machine learning algorithms in software defined networks | [
"9a1b3247fc7f0abf892a40884169e0ed10d3b684",
"a10d128fd95710308dfee83953c5b26293b9ede7",
"c84b10c01a84f26fe8a1c978c919fbe5a9f9a661",
"1821fbfc03a45af816a8d7aef50321654b0aeec0",
"3192a953370bc8bf4b906261e8e2596355d2b610",
"883e3a3950968ebf8d03d3281076671538660c7c",
"b0f7423f93e7c6e506c115771ef82440077a732... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ae0fb9c6ebb8ce12610c477d2388447a13dc4694 | Distributed Privacy-Preserving Collaborative Intrusion Detection Systems for VANETs | [
"0dacd4593ba6bce441bae37fc3ff7f3b70408ee1",
"24d800e6681a129b7787cbb05d0e224acad70e8d",
"32334506f746e83367cecb91a0ab841e287cd958",
"49934d08d42ed9e279a82cbad2086377443c8a75",
"61efdc56bc6c034e9d13a0c99d0b651a78bfc596",
"c7788c34ba1387f1e437a2f83e1931f0c64d8e4e",
"7731c8a1c56fdfa149759a8bb7b81464da0b15c... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
648678f1edab0d2139958070744b826d2b24c79e | Social engineering attack framework | [
"1750a3716a03aaacdfbb0e25214beaa5e1e2b6ee",
"7c459c36e19629ff0dfb4bd0e541cc5d2d3f03e0",
"bf003bb2d52304fea114d824bc0bf7bfbc7c3106",
"10466df2b511239674d8487101229193c011a657",
"24b4076e2f58325f5d86ba1ca1f00b08a56fb682",
"90b16f97715a18a52b6a00b69411083bdb0460a0",
"8f24560a66651fdb94eef61339527004fda8283... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8a6080396fa7195c7c627bea4b2aeeb9ca39b5f8 | A Biologically Plausible Learning Rule for Deep Learning in the Brain | [
"17ebe1eb19655543a6b876f91d41917488e70f55",
"57b199e1d22752c385c34191c1058bcabb850d9f",
"7592f8a1d4fa2703b75cad6833775da2ff72fe7b",
"9539a0c4f8766c08dbaf96561cf6f1f409f5d3f9",
"cbcd9f32b526397f88d18163875d04255e72137f",
"19e2ad92d0f6ad3a9c76e957a0463be9ac244203",
"7b24aa024ca2037b097cfcb2ea73a60ab497b80... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
4715401473dca02ebaa5bdd4d4003705ed91c380 | Tampering with the Delivery of Blocks and Transactions in Bitcoin | [
"14829636fee5a1cf8dee9737849a8e2bdaf9a91f",
"35fe18606529d82ce3fc90961dd6813c92713b3c",
"3d16ed355757fc13b7c6d7d6d04e6e9c5c9c0b78",
"5e86853f533c88a1996455d955a2e20ac47b3878",
"5fb1285e05bbd78d0094fe8061c644ea09d9da8d",
"d2920567fb66bc69d92ab2208f6455e37ce6138b",
"5e90e57fccafbc78ecbac1a78c546b7db9a468c... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
6519bf5580fcdcc9c50fd72c6c8dc5d040d443e8 | A survey of multi-source energy harvesting systems | [
"34feeafb5ff7757b67cf5c46da0869ffb9655310",
"3689220c58f89e9e19cc0df51c0a573884486708",
"4833d690f7e0a4020ef48c1a537dbb5b8b9b04c6",
"61c1d66defb225eda47462d1bc393906772c9196",
"576803b930ef44b79028048569e7ea321c1cecb0",
"6c1ccc66420136488cf34c1ffe707afefd8b00b9",
"3370784dacf9df1e54384190dad40b817520ba3... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3be10c45163c61dfb9f250412699b3f8cb0ada1d | Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies | [
"738f4d2137fc767b1802963b5e45a2216c27b77c",
"ae341ad66824e1f30a2675fd50742b97794c8f57",
"090a6772a1d69f07bfe7e89f99934294a0dac1b9",
"0df013671e9e901a9126deb4957e22e3d937b1a5",
"32f7aef5c13c715b00b966eaaba5dd2fe35df1a4",
"25519ce6a924f5890180eacfa6e66203048f5dd1",
"634aa5d051512ee4b831e6210a234fb2d9b9d62... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
566c89a1ace18f57ac3212e6d62634b501990b31 | Discovering social circles in ego networks | [
"1d70f0d7bd782c65273bc689b6ada8723e52d7a3",
"312a2edbec5fae34beaf33faa059d37d04cb7235",
"3e656e08d2b8d1bf84db56090f4053316b01c10f",
"56ff48f2b22014d5f59fd2db2b0fc0c651038de1",
"62bb7ce6ae6ed38f0ae4d304d56e8edfba1870d0",
"b7543053ab5e44a6e0fdfc6f9b9d3451011569b6",
"f07fd927971c40261dd7cef1ad6d2360b23fe29... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
370fda29c5aaff285311a87824c5f28db33da021 | Permutation invariant training of deep models for speaker-independent multi-talker speech separation | [
"7e0f013e85eff9b089f58d9a3e98605ae1a7ba18",
"c1cd441dad61b9d9d294a19a7043adb1582f786b",
"ecd4bc32bb2717c96f76dd100fcd1255a07bd656",
"0b3cfbf79d50dae4a16584533227bb728e3522aa",
"0c7d7b4c546e38a4097a97bf1d16a60012916758",
"9eb67ca57fecc691853636507e2b852de3f56fac",
"6c7e55e3b53029296097ee07ba75b6b6a98b14e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
6c89453c09abde95d998f5acd244f00519472ee0 | SemEval-2014 Task 3: Cross-Level Semantic Similarity | [
"3cbf0dcbc36a8f70e9b2b2f46b16e5057cbd9a7d",
"528fa9bb03644ba752fb9491be49b9dd1bce1d52",
"d87ceda3042f781c341ac17109d1e94a717f5f60",
"1528def1ddbd2deb261ebb873479f27f48251031",
"2445089d4277ccbec3727fecfe73eaa4cc57e414",
"3764e0bfcc4a196eb020d483d8c2f1822206a444",
"41bb7d4546fbc95d55342b621f95edad3b06717... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
74d4bf32242a3d22df63e0cd3c7b5a0038220cd2 | Design Approach to a Novel Dual-Mode Wideband Circular Sector Patch Antenna | [
"7d712ea3803485467a46b46b71242477560c18f0",
"9f7b1b9d4f7dc2dcf850dcb311ecd309be380226",
"1965a7d9a3eb0727c054fb235b1758c8ffbb8e22",
"4f86fdb8312794929b9a11770fba271c5bf886fa",
"9462cd1ec2e404b22f76c88b6149d1e84683acb7",
"c9ed18a4a52503ede1f50691ff77efdf26acedd5",
"d6002a6cc8b5fc2218754aed970aac91c8d8e7e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
714c194a2fc326151b905270558aa137f9f22730 | Two privacy-preserving approaches for data publishing with identity reservation | [
"03dbbd987ea1fd5307ba5ae2f56d88e4f465b88c",
"3dfce4601c3f413605399267b3314b90dc4b3362",
"5c15b11610d7c3ee8d6d99846c276795c072eec3",
"9492fb8d3b3ce09451fc1df46d5e3c200095f5eb",
"b30706600c01e23e11b303842fe548d62bf3ecf8",
"43d7f7a090630db3ed0d7fca9d649c8562aeaaa9",
"99aba9948302a8bd2cdf46a809a59e34d1b57d8... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
c79b88a8d8ba491cead38b431703d84015153a8f | An integrated framework on mining logs files for computing system management | [
"13082af1fd6bb9bfe63e73cf007de1655b7f9ae0",
"6eb69624732a589e91816cc7722be0b0cdd28767",
"cd866d4510e397dbc18156f8d840d7745943cc1a",
"0a283fb395343cd26984425306ca24c85b09ccdb",
"1ac5b0628ff249c388ff5ca934a9ccbec577cbd7",
"16afeecd0f4dbccdd8e281e0e7e443bd08681da1",
"41f3b1aebde4c342211185d2b5e339a60ceff9e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
b2a20116c0609e23d3adfeaa604500fddca66178 | DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS | [
"044a9cb24e2863c6bcaaf39b7a210fbb11b381e9",
"964b6997a9c7852deff71d34894dbdc38d34fbdf",
"148ec401da7d5859a9488c0f9a34200de71cc824",
"41f1abe566060e53ad93d8cfa8c39ac582256868",
"46f766c11df69808453e14c900bcb3f4e081fcae",
"6db68f27bcb7c9c001bb0c144c1d0ac5d69a3f3a",
"e88eec15946dd19bdcf69db882f204386e05ff4... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8a93cd1b6fbf7c8c86637bae18d979dafeb9a7c1 | Factor-based Compositional Embedding Models | [
"2538e3eb24d26f31482c479d95d2e26c0e79b990",
"317deb87586baa4ee7c7b5dfc603ebed94d1da07",
"0354210007fbe92385acf407549b5cacb41b5835",
"04cc04457e09e17897f9256c86b45b92d70a401f",
"052b1d8ce63b07fec3de9dbb583772d860b7c769",
"50a6b2b84a9d11ed168ce6380ff17e76136cdfe7",
"22630a79f1c50603c1356f6ac9dc8524a18d406... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
281b6888d5df1dddb350fac4e9be5c8272519109 | A Dual Attentive Neural Network Framework with Community Metadata for Answer Selection | [
"07f3f736d90125cb2b04e7408782af411c67dd5a",
"0af737eae02032e66e035dfed7f853ccb095d6f5",
"1c059493904b2244d2280b8b4c0c7d3ca115be73",
"468b9055950c428b17f0bf2ff63fe48a6cb6c998",
"81eb0a1ea90a6f6d5e7f14cb3397a4ee0f77824a",
"81ff60a35e57e150875cfdde735fe69d19e9fdc4",
"6c1cabe3f5980cbc50d290c2ed60b9aca624eab... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
0a40663fdcf7c5fb7cfc459693116c41309e7eca | Algorithmic Nuggets in Content Delivery | [
"02bb762c3bd1b3d1ad788340d8e9cdc3d85f33e1",
"155ca30ef360d66af571eee47c7f60f300e154db",
"2a0d27ae5c82d81b4553ea44e81eb986be5fd126",
"3593269a4bf87a7d0f7aba639a50bc74cb288fb1",
"691564e0f19d5f62597adc0720d0e51ddbce9b89",
"215ac9b23a9a89ad7c8f22b5f9a9ad737204d820",
"e4edc414773e709e8eb3eddd77b519637f26f9a... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8501e330d78391f4e690886a8eb8fac867704ea6 | Train longer, generalize better: closing the generalization gap in large batch training of neural networks | [
"0d57ba12a6d958e178d83be4c84513f7e42b24e5",
"22ba26e56fc3e68f2e6a96c60d27d5f721ea00e9",
"27da8d31b23f15a8d4feefe0f309dfaad745f8b0",
"8e0eacf11a22b9705a262e908f17b1704fd21fa7",
"bcdce6325b61255c545b100ef51ec7efa4cced68",
"907149ace088dad97fe6a6cadfd0c9260bb75795",
"eaa6537b640e744216c8ec1272f6db5bbc53e0f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
beac53e8074b4822943a3374ff5e9fed98a891b8 | Generate to Adapt: Aligning Domains Using Generative Adversarial Networks | [
"02227c94dd41fe0b439e050d377b0beb5d427cda",
"081651b38ff7533550a3adfc1c00da333a8fe86c",
"17facd6efab9d3be8b1681bb2c1c677b2cb02628",
"1c734a14c2325cb76783ca0431862c7f04a69268",
"1e21b925b65303ef0299af65e018ec1e1b9b8d60",
"6918fcbf5c5a86a7ffaf5650080505b95cd6d424",
"891d443dc003ed5f8762373395aacfa9ff895fd... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
6ae4d0b388aa9262e80c3eedc1cb3e5f06842368 | Visualization of complex attacks and state of attacked network | [
"0b8651737442ec30052724a68e85fefc4c941970",
"9fe265de1cfab7a97b5efd81d7d42b386b15f2b9",
"0c90a3d183dc5f467c692fb7cbf60303729c8078",
"3c1f860a678f3f6f33f2cbfdfa7dfc7119a57a00",
"844f1a88efc648b5c604c0a098b5c49f3fea4139",
"7f481f1a5fac3a49ee8b2f1bfa7e5f2f8eda3085",
"2aa5aaddbb367e477ba3bed67ce780f30e05527... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7db20fcc1d71edc32c365f145148d24b9f1427a5 | A proposal of LDMOS using Deep Trench poly field plate | [
"f1aa9bbf85aa1a0b3255b38032c08781f491f4d3",
"3f203c85493bce692da54648ef3f015db956a924",
"ad3324136e70d546e2744bda4e2b14e6b5311c55",
"d0a5e8fd8ca4537e6c0b76e90ae32f86de3cb0fc",
"dd73a3d6682f3e1e70fd7b4d04971128fad5f27b",
"b3e04836a8f1a1efda32d15296ff9435ab8afd86",
"a8540ff90bc1cf9eb54a2ba1ad4125e726d1980... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
335ad0ff82c728aca99fb0059c607cb18129526f | Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles | [
"280f9cc6ee7679d02a7b8b58d08173628057f3ea",
"39c230241d51b1435472115aaa8c62b94ab9927d",
"6d823b8098ec2b13fb5dcbb02bb55d7030d37d5a",
"0229c0eb39efed90db6691469daf0bb7244cf649",
"19e8aaa1021f829c8ff0378158d9b69699ea4f83",
"a75b289951207f627cdba8580a65cf18f9188d62",
"90d0b469521883bf24d673457f080343b97902f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
04e4034344bda5c97015ea634e6eb1b65ef3a898 | Agile Team Perceptions of Productivity Factors | [
"00f51b60ef3929097ada76a16ff71badc2277165",
"a023f6d6c383f4a3839036f07b1ea0aa04da9cbb",
"b58b3a1dd84fe44f91510df00905a1ed33c1525c",
"d7b9dde9a7d304b378079049a0c2af40454a13bb",
"0ee47ca8e90f3dd2107b6791c0da42357c56f5bc",
"12f3f9a5bbcaa3ab09eff325bd4554924ac1356d",
"427a03a0746f398340e8a7f95d56316dacd8d70... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
271a4077c037b86fb7daf6bff3e66682322ff7d7 | Movement segmentation using a primitive library | [
"0c4867f11c9758014d591381d8b397a1d38b04a7",
"04c5268d7a4e3819344825e72167332240a69717",
"139a860b94e9b89a0d6c85f500674fe239e87099",
"1c01e44df70d6fde616de1ef90e485b23a3ea549",
"39a6cc80b1590bcb2927a9d4c6c8f22d7480fbdd",
"efaf07d40b9c5837639bed129794efc00f02e4c3",
"6683426ca06560523fc7461152d4dd3b84a0785... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3d23666c6d97d6ba3c86044d83c697821084bed6 | Variational Sequential Labelers for Semi-Supervised Learning | [
"018300f5f0e679cee5241d9c69c8d88e00e8bf31",
"0a10d64beb0931efdc24a28edaa91d539194b2e2",
"2538e3eb24d26f31482c479d95d2e26c0e79b990",
"32cbd065ac9405530ce0b1832a9a58c7444ba305",
"040522d17bb540726a2e8d45ee264442502723a0",
"3be23e51455b39a2819ecfd86b8bb5ba4716679f",
"7eb7d3529adf3954a7704d0e502178ca10c79e0... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
fd4537b92ab9fa7c653e9e5b9c4f815914a498c0 | One-Sided Unsupervised Domain Mapping | [
"02227c94dd41fe0b439e050d377b0beb5d427cda",
"1450296fb936d666f2f11454cc8f0108e2306741",
"639937b3a1b8bded3f7e9a40e85bd3770016cf3c",
"6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4",
"6b4da897dce4d6636670a83b64612f16b7487637",
"76705c60d9e41dddbb6e4e75c08dcb2b6fa23ed6",
"8ae5dde36e2755fd9afcb8a62df8cc9e35c79cb... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
191ea925c2115755b44380c99d84f4a1099b4dcd | Aggregating Content and Network Information to Curate Twitter User Lists | [
"0c46b067779d7132c5fd097baadc261348afb261",
"1ad8410d0ded269af4a0116d8b38842a7549f0ae",
"3531e0eb9ec8a6ac786146c71ead7f8d624fd2ca",
"3f4558f0526a7491e2597941f99c14fea536288d",
"7e8a5e0a87fab337d71ce04ba02b7a5ded392421",
"9da9786e6aba77c72516abb5cfa124402cfdb9f1",
"8afc4ead207602dee08c9482fcf65a947b15c5e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
458f1428273254fc5dd399f3c104f507680ddd54 | Measuring discrimination in algorithmic decision making | [
"04f39720b9b20f8ab990228ae3fe4f473e750fe3",
"17fac85921a6538161b30665f55991f7c7e0f940",
"2a622720d4021259a6f6d3c6298559d1b56e7e62",
"37c3303d173c055592ef923235837e1cbc6bd986",
"4556f3f9463166aa3e27b2bec798c0ca7316bd65",
"72e8b0167757b9c8579972ee6972065ba5cb762d",
"9cc995f368233a7dce30d5a48c3509b5b4ffa57... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
19115f66f6ac1c02568bbb38eceedfa3521a8cc2 | Deep and Shallow Architecture of Multilayer Neural Networks | [
"2375f6d71ce85a9ff457825e192c36045e994bdd",
"60b7c281f3a677274b7126c67b7f4059c631b1ea",
"6bfa668b84ae5cd7e19dbda5d78688ee9dc4b25c",
"ee7f0bc85b339d781c2e0c7e6db8e339b6b9fec2",
"384dc2b005c5d8605c62d840cc851751c47c4055",
"0b33d8210d530fad72ce20bd6565ceaed792cbc0",
"0f9065db0193be42173be5546a3dfb839f69452... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
84424eee012089dac9414979f0cb1465c97c4408 | An inverse Yarbus process: Predicting observers’ task from eye movement patterns | [
"1319bf6218cbcd85ac7512991447ecd9d776577d",
"b68b04cb44f2d0a9762715fabb4005756926374f",
"b73f2d7b58bfc555d8037b3fdb673c4cec1aecf0",
"03406ec0118137ca1ab734a8b6b3678a35a43415",
"26e8f3cc46b710a013358bf0289df4de033446ba",
"6b3d644ac7cd884961df181d3f4cab2452a6a217",
"394dcd9679bd27023ea1d6eb0f62ef13353c347... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
5bb6b779de7929c573f39cd84169cafbd72e5bae | Could We Issue Driving Licenses to Autonomous Vehicles? | [
"2f991be8d35e4c1a45bfb0d646673b1ef5239a1f",
"546add32740ac350dda44bab06f56d4e206622ab",
"8db9df2eadea654f128c1887722c677c708e8a47",
"a4d513cfc9d4902ef1a80198582f29b8ba46ac28",
"b5a047dffc3d70dce19de61257605dfc8c69535c",
"a7680e975d395891522d3c10e3bf892f9b618048",
"a479ee6ba49a26e28033b8b9448cf9e058bfa91... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7b6652910c5cc0df9ff6bc91912a02e58a742d26 | Evolutionary mining of relaxed dependencies from big data collections | [
"5425f7109dca2022ff9bde0ed3f113080d0d606b",
"c2f4c6d7e06da14c4b3ce3a9b97394a64708dc52",
"28f840416cfe7aed3cda11e266119d247fcc3f9e",
"5288d14f6a3937df5e10109d4e23d79b7ddf080f",
"57fb4b0c63400dc984893461b1f5a73244b3e3eb",
"7d81977db644f56b3291546598d2f53165f76117",
"12f3f9a5bbcaa3ab09eff325bd4554924ac1356... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
df0ef17f63582603dafb1ac5c489dec1416ecbf4 | Real World BCI: Cross-Domain Learning and Practical Applications | [
"a7ab6fe31ee11a6b59e4d0c15de9f81661ef0d58",
"fdddcec753050d624a72d3de6f23c5b560f1cb25",
"061356704ec86334dbbc073985375fe13cd39088",
"14318685b5959b51d0f1e3db34643eb2855dc6d9",
"1827de6fa9c9c1b3d647a9d707042e89cf94abf0",
"6e80768219b2ab5a3247444cfb280e8d33d369f0",
"12dc84ff8f98d6cb4b3ea0c1d4b444900d4bbb5... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
f2d5039b55d626ef5466a80e950bddd5cc1819d4 | Inverse Reinforcement Learning | [
"117a50fbdfd473e43e550c6103733e6cb4aecb4c",
"11b6bdfe36c48b11367b27187da11d95892f0361",
"2532d0567c8334e4cadf282a73ffe399c1c32476",
"6f20506ce955b7f82f587a14301213c08e79463b",
"77024583e21d0cb7591900795f43f1a42dd6acf8",
"b3ec660a43361ea05b32b1d659210ece24361b6e",
"d14ddc01cff72066c6655aa39f3e207e34fb859... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7492683af60d02dbd658acdc61249571f8c20fc8 | J-Sim: a simulation and emulation environment for wireless sensor networks | [
"003715e5bda2dfd2373c937ded390e469e8d84b1",
"16e6938256f8fd82de59aac2257805f692278f03",
"006df3db364f2a6d7cc23f46d22cc63081dd70db",
"49ed15db181c74c7067ec01800fb5392411c868c",
"53b85e4066944b1753aae8e3418028a67d9372e1",
"6b60dd4cac27ac7b0f28012322146967c2a388ca",
"f49b78324e01d783a66b3b777965b08a7b904a7... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
f7f32e86c23a902ac55fba8b8191026f563bec5b | Subjectivity and Sentiment Analysis of Modern Standard Arabic | [
"310b72fbc3d384ca88ca994b33476b8a2be2e27f",
"59d9160780bf3eac8c621983a36ff332a3497219",
"7c89cbf5d860819c9b5e5217d079dc8aafcba336",
"9141d85998eadb1bca5cca027ae07670cfafb015",
"c2ac213982e189e4ad4c7f60608914a489ec9051",
"f3221ec7074722e125fe9f0f12b5fee22a431254",
"52152dac5c7320a4818b48140bfcd396e4e965b... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a22e737d38a1bc671893a7ed341aba436571097a | Developmental Changes in the Relationship Between Grammar and the Lexicon | [
"0cfe588996f1bc319f87c6f75160d1cf1542d9a9",
"162cd1259ad106990c6bfd36db19751f940274d3",
"53dd71dc5598d41c06d3eef1315e098dc4cbca28",
"7085126d3d21b559e38231f3fa283aae0ca50cd8",
"a6ad17f9df9346c56bab090b35ef73ff94f56c01",
"d2880069513ee3cfbe1136cee6133a6eedb51c00",
"9c703258eca64936838f700b6d2a0e2c33b12b7... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
4b80771429b786ea87740738378ba1eb1504a57f | Literature Fingerprinting: A New Method for Visual Literary Analysis | [
"21fb86020f68bf2dd57cd1b8a0e8adead5d9a9ae",
"4eae6ee36de5f9ae3c05c6ca385938de98cd5ef8",
"288c67457f09c0c30cadd7439040114e9c377bc3",
"384bb3944abe9441dcd2cede5e7cd7353e9ee5f7",
"49fa97db6b7f3ab2b3a623c3552aa680b80c8dd2",
"883224c3b28b0563a393746066738f52e6fcc70d",
"f4b3804f052f15f8a25af78db24e32dc2525472... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
9003fb79e7848ced3be975c3d87a9348a4b8d377 | Moral development, executive functioning, peak experiences and brain patterns in professional and amateur classical musicians: Interpreted in light of a Unified Theory of Performance | [
"8ed0ee88e811aaaad56d1a42e2cfce02edcc90ff",
"cc54251f84c8577ca862fec41a1766c9a0d4a7b8",
"6d3f38ea64c84d5ca1569fd73497e34525baa215",
"781ee20481f4e2e4accfa2b1cd6d70d5854bb171",
"3d7a8f5557b6a219e44c0c9fbb81aa0b668e65f9",
"ed0034302ecba18ca29a5e23baa39b23409add7b",
"e3b17a245dce9a2189a8a4f7538631b69c93812... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ac58b487e864afafe71c6158553eed10fbc8eef5 | A NEW PERSPECTIVE ON PORT SUPPLY CHAIN MANAGEMENT ACCORDING TO THE SERVICE DOMINANT LOGIC | [
"678680169e8b75430c1239e7e5289f656e009809",
"9bf6a003ed9dab85b8d22b2dd50b4325c6ab67ef",
"bd1c85bf52295adad0b1a59d79d7429091beeb22",
"030467d08fb735b2855aa9e71185126ba389f9d9",
"314617f72bff343c7a9f0d550dc8f918a691f2bd",
"65c85498be307ee940976db668dae4546943a4c8",
"f9b79f7222658cc6670292f57547731a54a015f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
30c9a7660281ad8e4538ff9beb20282c74fac810 | Online Social Networks anatomy: On the analysis of Facebook and WhatsApp in cellular networks | [
"13bf13f019632a4edb967635e72e3e140f89e90e",
"0a65bc1de050f544648977e786c499a0166fa22a",
"21b07e146c9b56dbe3d516b59b69d989be2998b7",
"2d2b1f9446e9b4cdb46327cda32a8d9621944e29",
"2dff0f21a23f9e3b6e0c50ce3fec75de4ff00359",
"2e1fa859dc31677895276a6b26d90ec70a4861c5",
"446d5a4496d7dc201263b888c4f0ae65833a25e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
129397ed6557da93db5ba18cf112ee7b0a7927d8 | Stochastic Variational Deep Kernel Learning | [
"09d8995d289fd31a15df47c824a9fdb79114a169",
"192687300b76bca25d06744b6586f2826c722645",
"2cac0942a692c3dbb46bcf826d71d202ab0f2e02",
"3bae80eca92a6e607cacdf03da393a1059c0d062",
"722fcc35def20cfcca3ada76c8dd7a585d6de386",
"f801630d99835bea79d587cce0ee6b816bbaafd6",
"d3acf7f37c003cc77e9d51577ce5dce3a6700ad... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
1a66df57f88e689438d505474eff73e3a9180c5b | Survey on modeling and indexing events in multimedia | [
"1aa5a8ad5b7031ba39e1dc0537484694364a1312",
"21cbb7e58e8f3e5912b32df3e75b004e5a0c00cc",
"4fa2b00f78b2a73b63ad014f3951ec902b8b24ae",
"6a7c63a73724c0ca68b1675e256bb8b9a35c94f4",
"d71c84fbaff0d7f2cbcf2f03630e189c58939a4a",
"430fb2aab098ea8ba737d1f1b98a31344d152308",
"e83c5de4aa7ab7cd71c5fe39e64c828fba6ae64... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
e00ab75a8aa637d9c4c5c020e9f2c54b31528031 | 3D ActionSLAM: wearable person tracking in multi-floor environments | [
"1677bd5219b40cff4db32b03dea230e0afc4896e",
"30f67b7275cec21a94be945dfe4beff08c7e004a",
"3303b29b10ce7cd76c799ad0c796521751347f9f",
"5a6a91287d06016ccce00c1c35e04af5d46c2b16",
"0e278a94018c3bbe464c3747cd155af10dc4fdab",
"56e362c661d575b908e8a9f9bbb48f535a9312a5",
"bcfca73fd9a210f9a4c78a0e0ca7e045c549525... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7707c7aac35a4d206eb061305256452051ae4dcf | Data Warehouse Life-Cycle and Design | [
"03af306bcb882da089453fa57539f62aa7b5289e",
"5b30ca7b3cbd38380c23333310f673f835b2dd3e",
"ca966559c378c0d22d17b1bbce7f55b41cbbfba5",
"1126ceee34acd741396c493c84d8b6072a18bfd7",
"25e0853ae37c2200de5d3597ae9e86131ce25aee",
"0d8070ff416deb43fc9eae352d04b752dabba82f",
"470a828d5e3962f2917a0092cc6ba46ccfe41a2... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
23386571ed332e4a465c0a6fa899f310caa217c8 | Topic-Relevance Map: Visualization for Improving Search Result Comprehension | [
"44b05f00f032c0d59df4b712b83ff82a913e950a",
"4b4afd45404d2fd994c5bd0fb79181e702594b61",
"7e9507924ceebd784503fd25128218a7119ff722",
"a96898490180c86b63eee2e801de6e25de5aa71d",
"054fc7be5084e0f2cec80e6d708c3eafbffc6497",
"44c299893ac76287e37d4d3ee8bf4b5f81cf37e9",
"a154e688baa929c335dd9a673592797ec3c2728... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
e7ec9e900556d9d9e47b274911ad304bcf198256 | Common Mode EMI Noise Suppression for Bridgeless PFC Converters | [
"36927265f588ed093c2cbdbf7bf95ddd72f000a9",
"77c87f82a73edab2c46d600fc3d7821cdb15359a",
"864e1700594dfdf46a4981b5bc07a54ebeab11ba",
"c0b7e09f212ec85da22974c481e7b93efeba1504",
"60ba158cb1a619726db31b684a7bf818e2f8256b",
"6e81f26db102e3e261f4fd35251e2f1315709258",
"4155199a98a1c618d2c73fe850f582483addd7f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ca464085b3da330f2ea895543a78c446a3af1bb6 | Calcium hydroxylapatite for jawline rejuvenation: consensus recommendations. | [
"325be255b9eb19cb721b7ec0429e46570181370e",
"3e8482443faa2319a6c2c04693402d9b5264bc0a",
"5841bf263cfd388a7af631f0f85fc6fa07dca945",
"b6626537ce41ccd7b8442799eb4c33576f1ce482",
"c668bf08ccce6f68ad2a285727dbfb7433f3cfa7",
"67d72dfcb30b466718172610315dbb7b7655b412",
"acdbb55beedf3db02bfc16e254c7d8759c64758... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
f09db8a42d713774483f023b31e0ee96361823f4 | Adversarial Texts with Gradient Methods | [
"0825788b9b5a18e3dfea5b0af123b5e939a4f564",
"0826c98d1b1513aa2f45e6654bb5075a58b64649",
"307e3d7d5857942d7d2c9d97f7437777535487e0",
"326cfa1ffff97bd923bb6ff58d9cb6a3f60edbe5",
"83a6cacc126d85c45605797406262677c256a6af",
"cd2b8ac987b3254dd31835afa185ab1962e62aa6",
"c7ceb4200c1875142edb1664628abb4a9ccd067... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
958ebc7e24012b419316489515f2c2f908773bd5 | Pose tracking from natural features on mobile phones | [
"10cfa5bfab3da9c8026d3a358695ea2a5eba0f33",
"5137516a2604bb0828e59dc517b252d489409986",
"69524d5b10b0bb7e4aa1c9057eefe197b230922e",
"779f05bf98049762df4298043ac6f38c82a07607",
"7c20a16d1666e990e6499995556578c1649d191b",
"edb92581ae897424de756257b82389c6cb21f28b",
"79465f3bac4fb9f8cc66dcbe676022ddcd9c05c... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
73d54af530d22599cc76b9785ae0a663cc694df2 | Neural Variational Inference For Embedding Knowledge Graphs | [
"272216c1f097706721096669d85b2843c23fa77d",
"9ecd3d4c75f5e927fc3167dd185d7825e14a814b",
"00ca2e50ae1c5f4499d9271c72466d2f9d4ae137",
"053dec3537df88a1f68b53e33e1462a6b88066f6",
"05aba481e8a221df5d8775a3bb749001e7f2525e",
"f2bc77fdcea85738d1062da83d84dfa3371d378d",
"82507310123a6cd970f28c628edba9a6e78618c... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
de77514c78432a0b17cf30baa024434173908f89 | Autonomous underwater grasping using multi-view laser reconstruction | [
"aae4665c2bd9f04e0c7f993123b30d87486b79f7",
"dec3de4ae1cb82c75189eb98b5ebb9a1a683f334",
"375d5a31e1f15b4b4dab3428f0517e014fa61a91",
"d45eaee8b2e047306329e5dbfc954e6dd318ca1e",
"d8b69a91ff70de099aeaee3b448ef02f889f3faf",
"17f84250276a340edcac9e5173e2d55020922deb",
"1553fc8c9a9e7ab44aa948ca641bd9148e3f0f6... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7c88a0f765ce3c9025345cf133251cb947fe6ee5 | Hierarchical multi-label classification over ticket data using contextual loss | [
"234f11713077aa09179533a1f37c075662e25b0f",
"2acbd7681ac7c06cae1541b8925f95294bc4dc45",
"05357314fe2da7c2248b03d89b7ab9e358cbf01e",
"06d0a9697a0f0242dbdeeff08ec5266b74bfe457",
"094d9601e6f6c45579647e20b5f7b0eeb4e2819f",
"7083489c4750898ceae641e8e3854e4440cadb61",
"8da0771e47c32405c4877cedce3ff84ac739064... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a9d7e7e918a68d1b95c6c6b29f7fabbbe01010f7 | Iterative Hough Forest with Histogram of Control Points for 6 DoF object registration from depth images | [
"1bde4205a9f1395390c451a37f9014c8bea32a8a",
"1e8f46aeed1a96554a2d759d7ca194e1f9c22de1",
"242caa8e04b73f56a8d4adae36028cc176364540",
"02a808de5aa34685955fd1473433161edd20fd80",
"1eca34e935b5e0f172ff5557697317f32b646f5e",
"ff2a96303a285c946c989369666503ededff35be",
"f0d99d9594fe3b5da915218614ef9f31f3bc483... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
0bfa2ab02f3c9a9fe06fcebf34bd8f371e206512 | Let's go public! taking a spoken dialog system to the real world | [
"387ef15ce6de4a74b1a51f3694419b90d3d81fba",
"07c095dc513b7ac94a9360fab68ec4d2572797e2",
"1347af2305933f77953c881a78c6029ab50ae460",
"43d15ec7a3f7c26830541ea57f4af56b61983ca4",
"2cc0df76c91c52a497906abc1cdeda91edb2923c",
"5054139b40eb3036b7c04ef7dbc401782527dcfb",
"c5ae787fe9a647636da5384da552851a327159c... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
5e1b80b4774582b948c6dcd656daaba6724ffc2d | Evaluation of a Brute Forcing Tool that Extracts the RAT from a Malicious Document File | [
"b90dd2f366988d9bb76399d4137c1768fe460c8f",
"067c7857753e21e7317b556c86e30be60aa7cac0",
"0992ef63a94c4b9dfc05f96b3a144c1e7237c539",
"0c668ee24d58ecca165f788d40765e79ed615471",
"0dac671dae4192cfe96d290b50cc3f1105798825",
"c803e14cf844f774607ba7dd1f647fd8539519f0",
"22a21791f8e36fe0959027a689ce996d3eae074... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
382bbb79d7ffda63395db3d9b4ebce55d0b2f038 | Individuality and Alignment in Generated Dialogues | [
"197a7fc2f8d57d93727b348851b59b34ce990afd",
"9c1775c992847f31a9bda931a1ecb8cac5365367",
"12f661171799cbd899e1ff4ae0a7e2170c3d547b",
"395f4b41578c3ff5139ddcf9e90eb60801b50394",
"7dd4a0fb7368a510840cffd7dcad618962d3b8e4",
"6fdbe12fc54a583dfe52315f5694e352185d8f03",
"0b8f4edf1a7b4d19d47d419f41cde432b9708ab... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
f7bdc97a6b4c5d65c145479ae74b3a244121ae89 | Digital Image Authentication Model Based on Edge Adaptive Steganography | [
"31864e13a9b3473ebb07b4f991f0ae3363517244",
"874b9e74fb000c6554c6941f73ddd4c66c6de38d",
"8c82c93dfc7d3672e58efd982a23791a8a419053",
"934ac849af9e478b7c0c3c599b9047e291d96ae2",
"b41c45b2ca0c38a4514f0779395ebdf3d34cecc0",
"9859eaa1e72bffa7474c0d1ee63a5fbb041b314e",
"831d55d38104389de256c501495539a73118db7... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
e659e72b7962c9ad586a2d35a7099550102fb054 | Brain-computer interface systems: progress and prospects. | [
"08f7fb99edd844aac90fccfa51f5d55cbdf15cbd",
"382b521a3a385ea8a339b68c54183e2681602735",
"6777d0f3b5b606f218437905346a9182712840cc",
"97e5088bfb7583f1a40881d7c41f7be63ebb2846",
"d76beb59a23c01c9bec1940c4cec1ca26e00480a",
"8a65dc637d39c14323dccd5cbcc08eed2553880e",
"9cbef9d9cdbe4007444bd3a6e83551ae0865b64... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3136f52540fb7925998eff94e9c016d2e1a6fe12 | Tablets and humanoid robots as engaging platforms for teaching languages | [
"73f8d428fa37bc677d6e08e270336e066432c8c9",
"c4f19894a279d10aa2001facc7d35516e8d654ff",
"1d7383438d2ad4705fcfae4c9c56b5ac8a86d3f3",
"563ea3682f1e3d14dee418fe1fbb52f433185242",
"ce66e4006c9948b7ed080c239540dfd0746ff639",
"1ee728c9e75d89d371a5001db4326c2341792b7c",
"5dc8b3e5b1d233067e5b34215a50aef173ed3fa... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
0bf046038a555bc848030a28530f9836e5611b96 | ModDrop: Adaptive Multi-Modal Gesture Recognition | [
"02a98118ce990942432c0147ff3c0de756b4b76a",
"14ce7635ff18318e7094417d0f92acbec6669f1c",
"50ca90bc847694a7a2d9a291f0d903a15e408481",
"586d7b215d1174f01a1dc2f6abf6b2eb0f740ab6",
"afbd6dbf502004ad2be091afc084580d02a56a2e",
"47310b4e14990becd5d473a07092ded4df2fbef1",
"0dc01f266118cb816dc148c3680c59eaaa7c0c6... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
5a4b46ef8898610ab16a1ced6f4a976db0f1962c | Jack the Reader - A Machine Reading Framework | [
"0a6d7e8e61c54c796f53120fdb86a25177e00998",
"6ac1962fd1f2b90da02c63c16af39a3c7a3e6df6",
"9f8eb04dbafdfda997ac5e06cd6c521f82bf4e4c",
"c05727976dfae43ae13aa520774fc3bd369d49b5",
"f010affab57b5fcf1cd6be23df79d8ec98c7289c",
"6e7302a08e04e2120c50440f280fb77dcd5aeb35",
"7fe73dd079d14520224af718c12ab3e224d40cb... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
232427099d4a8acf1dc29efc852f09c5964e6165 | A New View of Predictive State Methods for Dynamical System Learning | [
"0122bba20a91c739ffb6dd4c68cf84b9305ccfc0",
"0c5e3186822a3d10d5377b741f36b6478d0a8667",
"16611312448f5897c7a84e2f590617f4fa3847c4",
"5ec33788f9908f69255c9df424c51c7495546893",
"645b2c28c28bd28eaa187a2faafa5ec12bc12e3a",
"420a5f02b079d596ec2da0b5cddda43326226a09",
"7cf3e97ef62c25a4df6cafb79e2efa8d605419b... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
100636ca50edf63d4336bb071f3e172cb0ebccaa | Deep Reinforcement Learning for Conversational AI | [
"15cf63f8d44179423b4100531db4bb84245aa6f1",
"268a7cd1bf65351bba4eb97aac373d624af2c08f",
"32de3580916a1e5f36bc54779ba5904c19daa403",
"3b9732bb07dc99bde5e1f9f75251c6ea5039373e",
"4cd91a0bc0474ce5560209cbeb79b21a1403eac1",
"3aabaa2b1a7e3bee7ab1c29da0311a4fdd5f4378",
"a60c571ffeceab5029e3a762838fb7b5e52fdb7... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
7a373793804ea9813d64641919e14841f927c38f | GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation | [
"07f77ad9c58b21588a9c6fa79ca7917dd58cca98",
"1abf6491d1b0f6e8af137869a01843931996a562",
"2fdbd2cdb5b028e77b7640150496ae13eab05f30",
"3fe41cfefb187e83ad0a5417ab01c212f318577f",
"420c46d7cafcb841309f02ad04cf51cb1f190a48",
"e820785f476cf37122c58e5d6b0e203af479b2df",
"f7c8f4897d24769e019ae792e9f7f492aa6e897... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
e788f08148b4b06f4e537b27b51338f1c88ccea8 | FaCT++ Description Logic Reasoner: System Description | [
"36ada37bede2f0fd3dbab2f8d4d33df8670ff00b",
"862576569343cfa7c699784267543b81fad23c3a",
"0f26b165700dc85548ea3d570d757aba838f5a97",
"1750a3716a03aaacdfbb0e25214beaa5e1e2b6ee",
"57820e6f974d198bf4bbdf26ae7e1063bac190c3",
"54a5680c9fcd540bf3df970dc7fcd38747f689bc",
"46aa7391e5763cbc7dd570882baf5cfc832ba3f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8fad88b5678bfecab78d0d6389f649ccfb310d22 | EvoNN: a customizable evolutionary neural network with heterogenous activation functions | [
"45b7d3881dd92c8c73b99fa3497e5d28a2106c24",
"505c58c2c100e7512b7f7d906a9d4af72f6e8415",
"50975d6cd92e71f828ffd54bf776c32daa79e295",
"6ae5deae0167649c37117d11681a223a271923c3",
"6e744cf0273a84b087e94191fd654210e8fec8e9",
"baf77336afa708e071c5c5e1c6f481ff27d0150d",
"84ca84dad742749a827291e103cde8185cea1bc... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
e48e9cf407af2694ecfefd441c2c28faffdf0835 | Antipodal Vivaldi antenna for phased array antenna applications | [
"843018e9d8ebda9a4ec54256a9f70835e0edff7e",
"8839b84e8432f6787d2281806430a65d39a94499",
"984df1f081fbd623600ec45635e5d9a4811c0aef",
"d7ccf0988c16b0b373274bcf57991f036e253f5c",
"e3f4fdf6d2f10ebe4cfc6d0544afa63976527d60",
"f5f9366ae604faf45ef53a3f20fcc31d317bd751",
"c0271edf9cc616a30974918b3cce0f95d426536... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
065985d4d0854c51f52ad7a7507b267d9b88ab1c | Multi-class active learning for image classification | [
"07f1bf314056d39c24e995dab1e0a44a5cae3df0",
"0acf1a74e6ed8c323192d2b0424849820fe88715",
"1a090df137014acab572aa5dc23449b270db64b4",
"9ae252d3b0821303f8d63ba9daf10030c9c97d37",
"fa6cbc948677d29ecce76f1a49cea01a75686619",
"2c688c40374fee862e0f0038696f2951f1927337",
"2fc32ad5f46e866dd24774e55ea07a9ba1a85df... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
44a56dc083e3e2b07f11aae29c1ee560f46efa4a | A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing | [
"1e56ed3d2c855f848ffd91baa90f661772a279e1",
"27ae23bb8d284a1fa8c8ab24e23a72e1836ff5cc",
"2b8a80b18cc7a4461c6e532c2f3de7e570d4fcd6",
"682988d3cc614c122745d0e87ad9df0f44c3e432",
"99f231f29d8bbd410bb3edc096a502b1ebda8526",
"f6be1786de10bf484decb16762fa66819930965e",
"85a1b811113414aced9c9fe18b02dfbd24cb41a... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3b198869df03d98b81c0c882753845a3bca36c63 | Flexible Radio Access Beyond 5G: A Future Projection on Waveform, Numerology, and Frame Design Principles | [
"38b1824bbab96f9ab2e1079ea2b60ae313e6cb7f",
"4d1efe967fde304dc31e19665b9c328969a79128",
"de19bd1be876549cbccb79e545c43442a6223f7a",
"f1732fe25d335af43c0ff90c1b35f9b5a5c38dc5",
"43a87c07f2cbfeab0801b9cf2ece5f7e0689d287",
"1b5280076b41fda48eb837cbb03cc1b283d4fa3c",
"08a5c749035e13a464eb5fb6cf4d4df63069330... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
9a7e12ef462e779263ee3f2dd415d2d21233f15d | Unraveling the Anxious Mind: Anxiety, Worry, and Frontal Engagement in Sustained Attention Versus Off-Task Processing | [
"00844516c86828a4cc81471b573cb1a1696fcde9",
"21bfc289cf7e2309e70f390ae14d89df7c911a67",
"261208c69aeca0243e43511845a0d8023d31acbe",
"2ce0d2f6efe74b9df4c0eccb434322d931c5dd47",
"0ca9e60d077c97f8f9f9e43110e899ed45284ecd",
"723b30edce2a7a46626a38c8f8cac929131b9ed4",
"1eda2af8492a67d66afdb26b70d15e07d9bd11f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
76dac031066a95715a3b116eb2094ec9bdd15171 | Reinforcement Learning for Coreference Resolution | [
"2704a9af1b368e2b68b0fe022b2fd48b8c7c25cc",
"d3c79bd62814782c7075c7fea80d1f87e337a538",
"05357314fe2da7c2248b03d89b7ab9e358cbf01e",
"09370d132a1e238a778f5e39a7a096994dc25ec1",
"0bacca0993a3f51649a6bb8dbb093fc8d8481ad4",
"bed9545680bbbf2c4e922263e13534d199c98613",
"7e30d0c7aaaed7fa2d04fc8cc0fd3af8e24ca38... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
26ebc1b9e21db68d5abf01acd2a0c38d260c65a1 | Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors | [
"0b3cfbf79d50dae4a16584533227bb728e3522aa",
"272216c1f097706721096669d85b2843c23fa77d",
"2c03df8b48bf3fa39054345bafabfeff15bfd11d",
"5763c2c62463c61926c7e192dcc340c4691ee3aa",
"83de43bc849ad3d9579ccf540e6fe566ef90a58e",
"ba02ed6083ec066e4a7494883b3ef373ff78e802",
"9c263ada2509f84c1f7c49504742c98f04d827b... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a1be02429ab4ec852656f8833c3160f4592cc547 | Reward-estimation variance elimination in sequential decision processes | [
"1aa02f027663a626f3aa17ed9bab52377a23f634",
"96fccad0177530b81941d208355887de2d658d2c",
"afbe59950a7d452ce0a3f412ee865f1e1d94d9ef",
"053dec3537df88a1f68b53e33e1462a6b88066f6",
"085fb3acabcbf80ef1bf47daec50d246475b072b",
"286955da96c1c5c38fe3853da3a877c1d6607c9a",
"c7cccff4318f8a3e7d6d48bd9e91819d1186ba1... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
a1f5c39aece58f6504e0334d96eaede32c7329cf | Emotion recognition using Speech Processing Using k-nearest neighbor algorithm | [
"286f0650438d0cc5123057909662d242d7bbce07",
"34850eb3f55633599e8e8f36db4bedf541d30b94",
"67efaba1be4c0462a5fc2ce9762f7edf9719c6a0",
"953e69c66f2bdfcc65e4d677fa429571cdec2a60",
"c33076c2aa1d4a860c223529c1d1941c58cd77fc",
"676e552b1b1f10cc7b80ec3ce51bced5990a9e68",
"b3cedde36a6841b43162fc406b688e51bec68d3... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
8ff6581f94c366e34c6f2d55806f7781194c33c8 | On visual gaze tracking based on a single low cost camera | [
"e0f296dd7a8c9e315e4bd4e1108142f2e9e6faec",
"19aca01bafe52131ec95473dac105889aa6a4d33",
"28312c3a47c1be3a67365700744d3d6665b86f22",
"2c21e4808dcb8f9d935d98af07d733b8134525ab",
"342f0a9db326eb32df8edb8268e573ea6c7d3999",
"b43ffb0d4f8d1c66632b78ad74d92ab1218a6976",
"1f2e7ce5ccf6afc5551db594997a749444480bb... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
fd65ca4e3ae95302f74bf863988cdb95d6a12824 | Speech Emotion Recognition with Emotion-Pair Based Framework Considering Emotion Distribution Information in Dimensional Emotion Space | [
"042f8effa0841dca3a41b58fab12f0fd8e3f9ccb",
"3f168efed1bc3d97c0f7ddb2f3e79f2eb230bafa",
"782f2b8924ed5104b42308a0565429747780f0c2",
"a474b149717cb37d6c507395ba27844a92889939",
"002a8b9ef513d46dc8dcce85c04a87ae6a221b4c",
"37bf8fa510083fadc50ef3a52e4b8c10fa0531dd",
"b3bcbbe5b6a7f477b4277b3273f999721dba30e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3565d884735ead613a5aa0903f06a2cc86d05b6b | Analysis and Experimental Kinematics of a Skid-Steering Wheeled Robot Based on a Laser Scanner Sensor | [
"27f9b805de1f125273a88786d2383621e60c6094",
"656dce6c2b7315518cf0aea5d5b2500f869ab223",
"760c81c0a19f8358dde38691b81fe2f20c829b44",
"7df9117c67587f516fd4b13bd9df88aff9ab79b3",
"9d9fc59f80f41915793e7f59895c02dfa6c1e5a9",
"872331a88e2aa40b9a1b64c1a9c2ea6577c3fe44",
"94453d8f060a5968d30f9d5b68f3ee557cb6907... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
c2e57b2871fdfd06566820c5329815ac06f66197 | DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis | [
"04caa1a55b12d5f3830ed4a31c4b47921a3546f2",
"47da821786eea4e6d9d69cc5aa1f248e958ea6e4",
"54ee58c3623b7fdf8b7e9e29355a24478f574eea",
"7693cafd6f29623f61d66f031cadd60b6ce827d7",
"0704bb7b7918cd512b5e66ea4b4993e50b8ae92f",
"99a4fc97244b83647af47a177e919ccc21918101",
"e915fb1cd8285aad1b9aceebb510c50ce1e131d... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
59e2037f5079794cb9128c7f0900a568ced14c2a | Clothing and People - A Social Signal Processing Perspective | [
"03684e4a57d2c33e0ed219cad9e3b180175f2464",
"04c2cda00e5536f4b1508cbd80041e9552880e67",
"09fa54f1ab7aaa83124d2415bfc6eb51e4b1f081",
"30ea6c4991ceabc8d197ccff3e45fb0a00a3f6c5",
"324608bf8fecc064bc491da21291465ab42fa6b6",
"07cb8b9386778b158f879ee36a902f04dbf33bd6",
"61c648e162dad3bd154d429b3e5cec601efa4a2... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
3f95e155b1c40911149fe994197a502ef44ebbbe | Music emotion recognition: the role of individuality | [
"12f8ae73af6280171a1c5fb8818320427c4f255f",
"9d4a2052502fe2c60e48d7c8997da1269df6f48f",
"fffda2474b1754897c854e0c322796f1fc9f4db8",
"4ccb0d37c69200dc63d1f757eafb36ef4853c178",
"667ba06f64d3687d290a899deb2fdf7dabe7fd1c",
"70fa7c2a8a12509da107fe82b04d5e422120984f",
"f2a2c5129cf5656af7acc7ffaf84c9c9bafe72c... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
0674058618d04def58c79a0b28174301ef591433 | RainForest—A Framework for Fast Decision Tree Construction of Large Datasets | [
"39b58ef6487c893219c77c61c762eee5694d0e36",
"d26b70479bc818ef7079732ba014e82368dbf66f",
"1f25ed3c9707684cc0cdf3e8321c791bc7164147",
"7c3a4b84214561d8a6e4963bbb85a17a5b1e003a",
"84dae6a2870c68005732b9db6890f375490f2d4e",
"1d093148752f8a57a8989c35ee53adb331dfe485",
"18b2d2ac7dbc986c6e9db68d1e53860a9ad2084... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
23a7c8d9f142184d28e56b0751e172fef6539275 | OCA: Opinion corpus for Arabic | [
"1532b1ceb90272770b9ad0cee8cd572164be658f",
"167e1359943b96b9e92ee73db1df69a1f65d731d",
"49a6ba0f8668e4da188017a45aec84c9336c7fe5",
"7063f78639f7620f081895a14eb5a55a3b7c6057",
"bc7308a97ec2d3f7985d48671abe7a8942a5b9f8",
"42a96f07ab5ba25c88e5f7c0009ed9bfa3a4c5fc",
"13941748ae988ef79d3a123b63469789d01422e... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ee6b940d3ae36f9b124586b15a49cec45f24b90a | Cross-Coupled Substrate Integrated Waveguide Filters With Improved Stopband Performance | [
"54797270f673a2efc9c4b86b5de3befa59b13bd2",
"aaf7be312dd3d22b032cbbf9530ad56bf8e7800b",
"eefb364424648a3498dcee451bf0af00463fab1a",
"f24a1af3bd8873920593786d81590d29520cfebc",
"f9caa828cc99bdfb1f42b255136d9c78ee9a1f1a",
"cc415579249532aa33651c8eca1aebf5ce26af1d",
"5b4242f283ce25a44af2832769a5a54662ac4d3... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
2bd338ef8751b62d23e53fbb44d67042d634da2f | FastFlow: High-level and Efficient Streaming on Multi-core | [
"045a975c1753724b3a0780673ee92b37b9827be6",
"0541d5338adc48276b3b8cd3a141d799e2d40150",
"2032be0818be583f159cc75f2022ed78222fb772",
"7c3a4b84214561d8a6e4963bbb85a17a5b1e003a",
"43089ffed8c6c653f6994fb96f7f48bbcff2a598",
"1ef2b855e8a447b17ca7470ae5f3fff667d2fc28",
"683c8f5c60916751bb23f159c86c1f2d4170e43... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ddbb6e0913ac127004be73e2d4097513a8f02d37 | Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis | [
"0d94a0a51cdecbdec81c97d2040ed28d3e9c96de",
"fa2603efaf717974c77162c93d800defae61a129",
"a6f1dfcc44277d4cfd8507284d994c9283dc3a2f",
"b217788dd6d274ad391ee950e6f6a34033bd2fc7",
"00ef4151ae7dfd201b326afbe9c112fac91f9872",
"1b102e8fcf68da7b0d7da16b71a07376cba22f6d",
"5c97f52213c3414b70b9f507619669dfcc1749f... | [
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
d6b56cc6e05300426b6194dd3f6a38720678827e | Redirected Walking in Virtual Reality | [
"bd75508d29a69fbf3bf1454c06554e6850d76bd5",
"e352612f51ad34c764f128cc62e91b51fe7a9759",
"33c859730444bd835dbf5f0956110f45a735ee89",
"76fee58c7308b185db38d4177d04902172993561",
"984031f16dded96a8ae48a6dd9d49edefa98aa46",
"13a92a59545eefbaf5ec3adf6000ec64f4bb73a5",
"fe8e40c0d5c6c07adcbc2dff18423da0c88582f... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
df39e24c3cc21dc4c79995ec2b424a37dac999c7 | Defensive Distillation is Not Robust to Adversarial Examples | [
"38418928d6d842fe6edadc809f384278d793d610",
"49e77b981a0813460e2da2760ff72c522ae49871",
"5c3785bc4dc07d7e77deef7e90973bdeeea760a5",
"83bfdd6a2b28106b9fb66e52832c45f08b828541",
"cbcd9f32b526397f88d18163875d04255e72137f",
"8aef07e27848bb1c3ec62537c58e276361530c14",
"b7d5aea8ac1332767c4525c29efc68cfc34bdf1... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
74bd4761b373447079c6e5cd31832c00fab2fa77 | Ten Simple Rules for Developing Usable Software in Computational Biology | [
"f919bc88b746d7a420b6364142e0ac13aa80de44",
"1e62935d9288446abdaeb1fec84daa12a684b300",
"2bdcc4dbf14e13d33740531ea8954463ca7e68a2",
"50341a2e4dec45165c75da37296ee7984b71e044",
"517d6e3999bd425069e45346045adcbd2d0c9299",
"4dd7721248c5489e25f46f7ab78c7d0229a596d4",
"eceedcee47d29c063ce0d36f8fca630b6d68f63... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
ddbf21ca1de9617894b15d45787a27557f02a494 | Two-level Message Clustering for Topic Detection in Twitter | [
"1e56ed3d2c855f848ffd91baa90f661772a279e1",
"3531e0eb9ec8a6ac786146c71ead7f8d624fd2ca",
"7314be5cd836c8f06bd1ecab565b00b65259eac6",
"c951df3db2e0c515bdbdf681137cf6705ef61c0d",
"d582d6d459601eabeac24f4bb4231c3e93882259",
"1ccf386465081b6f8cad5a753827de7576dfe436",
"f4e2fff95ba8d469fed09c8bd7efa0604ece3be... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
f754cab548f2c209ea7d932084ef768b92b27614 | An Agent-based Indoor Wayfinding Based on Digital Sign System | [
"15e72433bed1f8cb79ab3282458b3b9038475da2",
"1eb9816a331288c657b0899cb20a1a073c3c7314",
"90aac67f7bbb5bccbb101dc637825897df8fab91",
"9d49388512688e55ea1a882a210552653e8afd61",
"4023ae0ba18eed43a97e8b8c9c8fcc9a671b7aa3",
"81f8c2637e6ff72094a7e3a4141b5117fb19171a",
"c336b9c9c049d0e4119707952a4d65c84b4e0b5... | [
1,
1,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
] |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 185