premise
string
hypothesis
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int64
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 | | Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresf...
| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 | | --- | --- | --- | --- | | *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 | | *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 | | Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |
1
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 | | Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresf...
| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 | | 5 | d...
0
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |
| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 | | --- | --- | --- | --- | | *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 | | *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 | | *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 | | *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 ...
1
| | EC | TC | WT | | --- | --- | --- | --- | | Unetaxialslices | 71.4 | 76.6 | 87.7 | | 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 | | 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |
| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 | | 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |
0
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 1...
| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 | | --- | --- | --- | --- | --- | --- | --- | | 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 | | | WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 | | 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 | | | Average<br>(macro-avg) |...
1
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 1...
| Task-Dataset | VarianceofK | | --- | --- | | NER-DNA(10-foldCV) | 0.0000223 | | NER-cellType(10-foldCV) | 0.0000211 | | NER-protein(10-foldCV) | 0.0000074 | | Reuters(10Categories) | 0.0000298 | | 20Newsgroups(20Categories) | 0.0000739 | | WebKBStudent(10-foldCV) | 0.0000137 | | WebKBProject(10-foldCV) | 0.0000190 | ...
0
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 1...
| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 | | --- | --- | --- | --- | --- | --- | --- | | 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 | | | Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 | | 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 | |
1
| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All | | --- | --- | --- | --- | --- | --- | --- | | TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 | | 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 | | | 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 | | 60.85 | 1...
| NER-cellType(10-foldCV) | 0.0000211 | | --- | --- | | NER-protein(10-foldCV) | 0.0000074 | | Reuters(10Categories) | 0.0000298 | | 20Newsgroups(20Categories) | 0.0000739 | | WebKBStudent(10-foldCV) | 0.0000137 | | WebKBProject(10-foldCV) | 0.0000190 | | WebKBFaculty(10-foldCV) | 0.0000115 | | WebKBCourse(10-foldCV) |...
0
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| CIFAR-10 | 17 | | --- | --- | | SAT-6 | 115 | | HaralickFeaturesextractedfromSAT-6 | 4.2 |
1
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| Dataset | Input | Relevance | Readability | | --- | --- | --- | --- | | MSCOCO | GroundTruth | 3.38 | 4.68 | | | SystemOutput | 3.0 | 3.84 | | Quora | GroundTruth | 4.82 | 4.94 | | | SystemOutput | 3.57 | 4.08 |
0
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| CIFAR-10 | 17 | | --- | --- | | SAT-6 | 115 | | HaralickFeaturesextractedfromSAT-6 | 4.2 |
1
| Dataset | IntrinsicDimension | | --- | --- | | MNIST | 16 |
| Quora | GroundTruth | 4.82 | 4.94 | | --- | --- | --- | --- | | | SystemOutput | 3.57 | 4.08 |
0
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br...
| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 | | --- | --- | --- | --- | --- | --- | | 3 | 1047<br>1807<br>4132<br>7185...
1
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br...
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | | | --- | --- | --- | --- | --- | --- | | collocation | EFG | collocation | EFG | | | | 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br...
0
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | --- | --- | --- | --- | | collocation | EFG | collocation | EFG |
| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 | | --- | --- | --- | --- | --- | --- | | 2 | 24<br>2<br>32<br>2<br>48<br>...
1
| No. | ptsnum | BeltramiEquation | GeneralizedLaplace | | --- | --- | --- | --- | | collocation | EFG | collocation | EFG |
| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 | | --- | --- | --- | --- | --- | --- | | 2 | 24<br>2<br>32<br>2<br>48<br>...
0
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 | | --- | --- | --- | --- | --- | | Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 | | Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |
1
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| Name | Type | \|V\| | \|E\| | Indexingtime(original) | Indexsize(original) | | --- | --- | --- | --- | --- | --- | | Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB | | Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB | | GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB | | HepTh | Social | 9877 | 25998 | 631.2ms | ...
0
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 | | --- | --- | --- | --- | --- | | Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 | | Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |
1
| Seed | #Resources | #Users | #Tags | #Tripples | | --- | --- | --- | --- | --- | | Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 | | Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |
| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB | | --- | --- | --- | --- | --- | --- | | HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB | | CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB | | NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |
0
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | ...
| 12 | Threonine | THR | -0.7 | | --- | --- | --- | --- | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspartate | ASP | -3.5 | | 20 | Glutamate | GLU | -3.5 |
1
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | ...
| word1 | word2 | similarities(cosine-dist) | remark | | --- | --- | --- | --- | | dilantin | tegretol | 0.75135758 | drug-drug | | phenytoin | dilantin | 0.62360351 | drug-drug | | phenytoin | tegretol | 0.51322415 | drug-drug | | cholestyramine | dilantin | 0.24557819 | drug-drug | | cholestyramine | phenytoin | 0.23...
0
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | ...
| 10 | Tryptophan | TRP | -0.9 | | --- | --- | --- | --- | | 11 | Serine | SER | -0.8 | | 12 | Threonine | THR | -0.7 | | 13 | Cysteine | CYS | 2.5 | | 14 | Asparagine | ASN | -3.5 | | 15 | Glutamine | GLN | -3.5 | | 16 | Lysine | LYS | -3.9 | | 17 | Histidine | HIS | -3.2 | | 18 | Arginine | ARG | -4.5 | | 19 | Aspart...
1
| SL | AminoAcid | Short | Index | | --- | --- | --- | --- | | 1 | Glycine | GLY | -0.4 | | 2 | Alanine | ALA | 1.8 | | 3 | Proline | PRO | 1.6 | | 4 | Valine | VAL | 4.2 | | 5 | Leucine | LEU | 3.8 | | 6 | Isoleucine | ILE | 4.5 | | 7 | Methionine | MET | 1.9 | | 8 | Phenylalanine | PHE | 2.8 | | 9 | Tyrosine | TYR | ...
| phenytoin | dilantin | 0.62360351 | drug-drug | | --- | --- | --- | --- | | phenytoin | tegretol | 0.51322415 | drug-drug | | cholestyramine | dilantin | 0.24557819 | drug-drug | | cholestyramine | phenytoin | 0.23701277 | drug-drug | | administration | patients | 0.20459694 | non-drug-non-drug | | tegretol | may | 0...
0
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 | | withoversampling,ω=ω+2i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<...
| 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.070.15 | | --- | --- | --- | | withoversampling,ω=ω+6i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.02<br>0.010.01<br>0.0020.007 | 0.240.27<br>0.140.22<br>0.070.17<br>0.060.14 |
1
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 | | withoversampling,ω=ω+2i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<...
| | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC | | --- | --- | --- | --- | --- | --- | --- | | K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(...
0
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |
| withoversampling,ω=ω+2i | | | | --- | --- | --- | | 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 | | withoversampling,ω=ω+4i | | | | 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.07...
1
| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH | | --- | --- | --- | | withoutoversampling,ω=ωi | | | | 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |
| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) | | --- | --- | --- | --- | --- | --- | --- | | K=9 | AC<br>NMI | 0...
0
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>C...
| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 |...
1
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>C...
| | | | | | | | --- | --- | --- | --- | --- | --- | | frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 | | frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br...
0
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>C...
| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 |...
1
| Year | IDs | Images | Videos | Subject | | --- | --- | --- | --- | --- | | 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>C...
| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 | | --- | --- | --- | --- | --- | --- | | frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>...
0
| Dataset | F1score | accuracy | precision | recall | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after |
| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 | | Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 | | Wholedataset | 0....
1
| Dataset | F1score | accuracy | precision | recall | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after |
| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) | | --- | --- | --- | --- | --- | --- | | 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 | | 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 | | | 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 | | | 0.81,0.14 | 0.93,0.1...
0
| Dataset | F1score | accuracy | precision | recall | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after | | | Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |
| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 | | Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |
1
| Dataset | F1score | accuracy | precision | recall | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | before | after | before | after | before | after | before | after | | | Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |
| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 | | | --- | --- | --- | --- | --- | --- | | 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 | | 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 | | | 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 | | | 0.86,0.12 | 0.90,0....
0
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 ...
| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 | | BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | ...
1
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 ...
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213...
0
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 ...
| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 | | BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0....
1
| | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | before | after | before | after | before | after | before | after | before | after | | UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 ...
| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 | | Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 ...
0
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| Conv(3×3)<br>[5×5×128] | | --- | | FC<br>[1024] | | FC<br>[1024] | | FC<br>3<br>[4×c] |
1
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| 32 | 64(2filters) | 64(4filters) | 64(InvConv) | | --- | --- | --- | --- | | | 3<br>[64×1] | | | | 3<br>[32×1] | Conv(3)<br>3<br>[32×32] | | | | Conv(3)<br>3<br>[16×32] | Conv(3)<br>3<br>[16×48] | | | | Conv(3)<br>3<br>[8×48] | Conv(3)<br>3<br>[8×64] | | | | Conv(3)<br>3<br>[4×64] | Conv(3)<br>3<br>[4×80] | |...
0
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| Conv(3×3)<br>[5×5×128] | | --- | | FC<br>[1024] | | FC<br>[1024] | | FC<br>3<br>[4×c] |
1
| [137×137×3] | | --- | | Conv(7×7)<br>[69×69×32] | | Conv(3×3)<br>[35×35×32] | | Conv(3×3)<br>[18×18×64] | | Conv(3×3)<br>[9×9×64] |
| FC<br>[1024] | FC<br>[1024] | | | | --- | --- | --- | --- | | FC<br>3<br>[4×80] | FC<br>3<br>[4×96] | | | | Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] | | | | Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] | | | | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] | |...
0
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |
| HiGAN(nolabeledvideo) | 0.954 | 0.446 | | --- | --- | --- | | KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 | | HiGAN(threelabeledvideos) | 0.967 | 0.526 |
1
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |
| Image | Method | CSr | | | | | | --- | --- | --- | --- | --- | --- | --- | | 0.02 | 0.04 | 0.06 | 0.08 | 0.10 | | | | Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.2...
0
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 | | HiGAN(nolabeledvideo) | 0.954 | 0.446 |
| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 | | --- | --- | --- | | HiGAN(threelabeledvideos) | 0.967 | 0.526 |
1
| Method | S→U | E→H | | --- | --- | --- | | MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 | | HiGAN(nolabeledvideo) | 0.954 | 0.446 |
| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.65...
0
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 |
| 2012-07-04 | 2 | 0 | 0 | | --- | --- | --- | --- | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 | | 2012-07-10 | 2 | 0 | 0 | | 2012-07-11 | 0 | 0 | 1 | | 2012-07-14 | 1 | 0 | 0 | | 2012-07-29 | 1 | 0 | 0 | | 2012-07-30 | 1 | 0 | 0 | | total | 18 | 0 | 3 |
1
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 |
| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total | | --- | --- | --- | --- | --- | --- | --- | --- | | 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 | | 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 | | 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 | | Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |
0
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 | | 2012-07-04 | 2 | 0 | 0 | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 |
| 2012-07-10 | 2 | 0 | 0 | | --- | --- | --- | --- | | 2012-07-11 | 0 | 0 | 1 | | 2012-07-14 | 1 | 0 | 0 | | 2012-07-29 | 1 | 0 | 0 | | 2012-07-30 | 1 | 0 | 0 | | total | 18 | 0 | 3 |
1
| date | truepositives | falsepositives | falsenegatives | | --- | --- | --- | --- | | 2012-07-02 | 1 | 0 | 0 | | 2012-07-03 | 3 | 0 | 0 | | 2012-07-04 | 2 | 0 | 0 | | 2012-07-05 | 2 | 0 | 0 | | 2012-07-06 | 3 | 0 | 0 | | 2012-07-08 | 0 | 0 | 2 | | 2012-07-09 | 2 | 0 | 0 |
| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 | | --- | --- | --- | --- | --- | --- | --- | --- | | Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |
0
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>...
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>7...
1
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>...
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68....
0
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>...
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 57.8<br>57.3<br>58.2<br>61.5<br>63.2<br>65.1<br>65.3<br>65.7 | 79.0<br>78.5<br>79.5...
1
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 | | --- | --- | --- | --- | --- | --- | | No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>...
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 | | --- | --- | --- | --- | --- | --- | --- | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>7...
0
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Analysis2 | 1 | 0.6 | 0.75 | | --- | --- | --- | --- | | Analysis3 | 1 | 0.5 | 0.67 | | Analysis4 | 0.7 | 0.3 | 0.42 | | Average | 0.85 | 0.48 | 0.61 |
1
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Precision | Recall | F-measure | MAE | | --- | --- | --- | --- | | 0.892 | 0.811 | 0.872 | 0.084 | | 0.852 | 0.746 | 0.825 | 0.132 | | 0.912 | 0.740 | 0.865 | 0.107 | | 0.873 | 0.730 | 0.836 | 0.129 |
0
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| Analysis2 | 1 | 0.6 | 0.75 | | --- | --- | --- | --- | | Analysis3 | 1 | 0.5 | 0.67 | | Analysis4 | 0.7 | 0.3 | 0.42 | | Average | 0.85 | 0.48 | 0.61 |
1
| | Precision | Recall | F-measure | | --- | --- | --- | --- | | Analysis1 | 0.71 | 0.5 | 0.59 |
| 0.912 | 0.740 | 0.865 | 0.107 | | --- | --- | --- | --- | | 0.873 | 0.730 | 0.836 | 0.129 |
0
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.002...
| market[0.0024] | attacks[0.0019] | | --- | --- | | technology[0.0022] | network[0.0018] | | consumer[0.0021] | web[0.0016] | | technologies[0.0018] | research[0.0014] |
1
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.002...
| Type | Feature | InformationGain | | | --- | --- | --- | --- | | Anonymous | Identifiable | | | | Numeric | #offriends | 0.015026 | 0.04283 | | #offollowers | 0.009373 | 0.04705 | | | followers-to-friendsratio | 0.000822 | 0.00468 | | | #ofuserlistmemberships | 0.002298 | 0.02168 | | | #oftweets | 0.005205 | 0.0...
0
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.002...
| technology[0.0022] | network[0.0018] | | --- | --- | | consumer[0.0021] | web[0.0016] | | technologies[0.0018] | research[0.0014] |
1
| Topic1 | Topic3 | | --- | --- | | web[0.0048] | set[0.0047] | | search[0.0048] | software[0.0032] | | online[0.0047] | virus[0.0028] | | news[0.0046] | users[0.0027] | | google[0.0033] | firms[0.0025] | | people[0.0032] | microsoft[0.0025] | | information[0.0032] | security[0.0022] | | internet[0.0029] | windows[0.002...
| #ofuserlistmemberships | 0.002298 | 0.02168 | | | --- | --- | --- | --- | | #oftweets | 0.005205 | 0.02584 | | | #offavoritetweets | 0.016624 | 0.0166 | | | numberofparts/wordsinthenamestring | 0.033509 | 0.19704 | | | popularityrankofoccurringfirstnameinthe<br>namelist | 0.156569 | 0.23648 | | | popularityrankof...
0
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimila...
| | K | N.TFT | B. | C. | | --- | --- | --- | --- | --- | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |
1
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimila...
| #Params | RVD | | | --- | --- | --- | | @1 | @10 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 | | 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 | | 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |
0
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimila...
| | K | N.TFT | B. | C. | | --- | --- | --- | --- | --- | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |
1
| Similar | | | | | | --- | --- | --- | --- | --- | | | K | N.TFT | B. | C. | | Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 | | AverageSimila...
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 | | --- | --- | --- | | 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |
0
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| F3 | speechinthepresenceofbackgroundmusic | | --- | --- | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
1
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| Device-directedspeech | | --- | | what’stheweatherlikeinlasvegas | | playpopularmusic | | markthefirstitemdone | | whatisscratchprogramming | | Nondevice-directedspeech | | oriftheywantshecanjustqueueforbetter | | wellthat’showwehadallthetraining | | talktoalexabutwe’retalkingtodannyrightnow | | livetogetherlikemonths...
0
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| F3 | speechinthepresenceofbackgroundmusic | | --- | --- | | F4 | speechunderdegradedacousticalconditions | | F5 | non-nativespeakers(clean,planned) | | FX | allotherspeech(e.g.spontanousnon-native) |
1
| Focus | Description | | --- | --- | | F0 | baselinebroadcastspeech(clean,planned) | | F1 | spontaneousbroadcastspeech(clean) | | F2 | lowfidelityspeech(typicallynarrowband) |
| talktoalexabutwe’retalkingtodannyrightnow | | --- | | livetogetherlikemonthsagoandtheymaystillbe<br>boring |
0
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |
| 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 | | 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 | | 160 | 25601 | 20 | 75 | 0 | 86.2 |...
1
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |
| Effect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | | | | | | | | | | | eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 | | eτ ...
0
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 | | 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547...
| 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 160 | 25601 | 20 | 75 | 0 | 86.2 | 82.2 | 88.2 | 119.7 | | 224 | 50177 | 21 | 93 | 13 | 117.8 | 111.8 | 121.8 | 164.3 | | 256 | 65537 | 22 | 106 | 15 | 133.0 | 125.0 | 137.0 | 182.7 | | 384 | 147457 | 24 ...
1
| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 | | 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 | | 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 | | 112 | 12547...
| | | | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 | | eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | ...
0
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 |
| Intrayeardifference | 12 | 12 | | --- | --- | --- | | Intrayearseasonaldifference | 11 | 11 | | Total | 304 | 237 |
1
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 |
| #APKs | TotalTime | AVGTime/APK | | --- | --- | --- | | 200 | 518 | 2.59 | | 400 | 1066 | 2.67 | | 600 | 1578 | 2.63 | | 800 | 2097 | 2.62 | | 1,000 | 2778 | 2.78 |
0
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 | | Intrayeardifference | 12 | 12 |
| Intrayearseasonaldifference | 11 | 11 | | --- | --- | --- | | Total | 304 | 237 |
1
| Name | #Features | #Retainedfeatures | | --- | --- | --- | | Dailyaverage(AVG) | 23 | 18 | | Fixedinterval | 36 | 34 | | Generictimeseries(GTS) | 222 | 162 | | Intrayeardifference | 12 | 12 |
| 800 | 2097 | 2.62 | | --- | --- | --- | | 1,000 | 2778 | 2.78 |
0
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0...
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |
1
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0...
| | SVMSVM(RR)SVM(SDB)SVM(RM) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) | | | LRLR(RR)LR(SDB)LR(RM) | | labelerror<br>bias<br>RRB | 0.2742(1.14e-...
0
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) |
| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) | | --- | --- | | | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.01...
1
| | SVMSVM(RR)SVM(SDB)SVM(RM)CND | | --- | --- | | labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a | | | LRLR(RR)LR(SDB)LR(RM) |
| | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) | | --- | --- | | labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |
0
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 | | Analyzable(onlyregularconstructs) | 2213 | 9408 | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 |
| PumpableKleeneonly | 20 | 4 | | --- | --- | --- | | NopumpableKleene | 2066 | 9389 | | MaxHFπsteps | 509 | 256 | | Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |
1
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 | | Analyzable(onlyregularconstructs) | 2213 | 9408 | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 |
| TotalNodes | 8 | Packetsize | 2000bytes | | --- | --- | --- | --- | | DataSlots | 17 | PacketgenerationInterval | 1msec | | Tc | 1.5msec | Queuelength | 100 | | Td | 2msec | Routing | AODV | | Ta | 0.5msec | Simulationtime | 20sec | | Tq | 20msec | Source | CBR | | Flow1 | PI21 | Flow3 | PI9 | | Flow2 | PI15 | Flow4 ...
0
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 |
| Analyzable(onlyregularconstructs) | 2213 | 9408 | | --- | --- | --- | | UsesKleenestar | 1103 | 2741 | | PumpableKleeneandsuffixfound | 127 | 15 | | PumpableKleeneonly | 20 | 4 | | NopumpableKleene | 2066 | 9389 | | MaxHFπsteps | 509 | 256 | | Totalclassificationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |
1
| | RegExLib | Snort | | --- | --- | --- | | Totalpatterns | 2994 | 12499 |
| Tc | 1.5msec | Queuelength | 100 | | --- | --- | --- | --- | | Td | 2msec | Routing | AODV | | Ta | 0.5msec | Simulationtime | 20sec | | Tq | 20msec | Source | CBR | | Flow1 | PI21 | Flow3 | PI9 | | Flow2 | PI15 | Flow4 | Pi3 | | Throughputflow1 | 130.03kbps | Throughputflow3 | 71.76kbps | | Throughputflow2 | 81.71kbps ...
0
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) | | Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |
| H1N1 | rhizalabs(676),reuters(17),google(16),flutrackers(16),calgaryherald(11) | | --- | --- | | Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) | | Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) | | Syria | youtube(130),twitter(61),hostpic.biz(9),telegraph.co.uk(5...
1
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) | | Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |
| Referrer | Clicks | | --- | --- | | http://www.google.com | 980 | | http://m.facebook.com | 670 | | http://fasebook.c0m.at | 640 | | http://www.facebook.com | 550 | | http://www.clixsense.com | 220 | | http://www.youtube.com | 181 | | http://servinox.com.co | 132 | | http://www.akihabarashop.jp | 130 | | http://dflogi...
0
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |
| Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) | | --- | --- | | H1N1 | rhizalabs(676),reuters(17),google(16),flutrackers(16),calgaryherald(11) | | Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) | | Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) | | S...
1
| Event | TopDomains(numberofresourcesfound) | | --- | --- | | MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |
| http://servinox.com.co | 132 | | --- | --- | | http://www.akihabarashop.jp | 130 | | http://dflogins.1s.fr | 91 | | http://www.google.ro | 90 |
0
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9...
| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 26.88/0.8...
1
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9...
| Skip | NA | BN | IN | NA | BN | | --- | --- | --- | --- | --- | --- | | Dec | NA | NA | NA | BN | BN | | PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 | | Skip | IN | NA | BN | IN | Perceptual<br>loss | | Dec | BN | IN | IN | IN | | | PSNR<br>SSIM | 26.89<br>0...
0
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9...
| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 26.88/0.8...
1
| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM | | --- | --- | --- | --- | --- | --- | | ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9...
| Dec | BN | IN | IN | IN | | | --- | --- | --- | --- | --- | --- | | PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |
0
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,...
| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 | | --- | --- | --- | --- | --- | --- | | 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 | | 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |
1
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,...
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 | | 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.2156...
0
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,...
| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 | | --- | --- | --- | --- | --- | --- | | 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 | | 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 | | 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 | | 3,000,1.0 | 12,999 ...
1
| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. | | --- | --- | --- | --- | --- | --- | | 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 | | 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,...
| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 | | --- | --- | --- | --- | --- | --- | | 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 | | 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 | | 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.3...
0