task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-1 MCES | 21.11 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-1 Tanimoto | 0.08 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-10 MCES | 18.25 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random chemical generation | https://arxiv.org/abs/2410.23326v3 | Top-10 Tanimoto | 0.11 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-1 MCES | 33.19 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-1 Tanimoto | 0.14 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-10 MCES | 31.89 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + Neuraldecipher | null | Top-10 Tanimoto | 0.16 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-1 MCES | 37.76 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-1 Tanimoto | 0.12 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-10 MCES | 29.40 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2502.09571v2 | Top-10 Tanimoto | 0.16 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 MCES | 38.88 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 Tanimoto | 0.08 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 MCES | 26.87 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SELFIES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 Tanimoto | 0.13 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-1 MCES | 45.55 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-1 Tanimoto | 0.06 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-10 MCES | 30.13 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST + MSNovelist | null | Top-10 Tanimoto | 0.15 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-1 MCES | 45.89 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-1 Tanimoto | 0.19 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-10 Accuracy | 0 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-10 MCES | 32.6 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Spec2Mol | https://arxiv.org/abs/2501.01950v3 | Top-10 Tanimoto | 0.28 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 MCES | 79.39 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-1 Tanimoto | 0.03 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 Accuracy | 0.00 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 MCES | 52.13 |
De novo molecule generation from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | SMILES Transformer | https://arxiv.org/abs/2410.23326v3 | Top-10 Tanimoto | 0.10 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FraGNNet | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 1 | 31.93 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FraGNNet | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 5 | 63.20 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FraGNNet | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 20 | 82.70 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FFN Fingerprint | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 1 | 7.62 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FFN Fingerprint | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 5 | 22.70 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | FFN Fingerprint | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 20 | 44.12 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | GNN | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 1 | 3.63 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | GNN | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 5 | 13.55 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | GNN | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 20 | 33.77 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | Precursor m/z | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 1 | 2.09 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | Precursor m/z | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 5 | 8.52 |
MS/MS spectrum simulation (bonus chemical formulae) | MassSpecGym | Precursor m/z | https://arxiv.org/abs/2410.23326v3 | Hit Rate @ 20 | 22.65 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 1 | 11.85 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 5 | 32.95 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 20 | 61.46 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR_NR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 1 | 11.82 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR_NR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 5 | 33.48 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | JESTR_NR | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 20 | 61.46 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | ESP | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 1 | 11.05 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | ESP | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 5 | 27.42 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | ESP | https://arxiv.org/abs/2411.14464v3 | Hit rate @ 20 | 52.20 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 1 | 9.57 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 5 | 22.11 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 20 | 41.12 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | MIST | https://arxiv.org/abs/2410.23326v3 | MCES @ 1 | 12.75 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets + Fourier features | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 1 | 6.56 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets + Fourier features | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 5 | 16.46 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets + Fourier features | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 20 | 33.46 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets + Fourier features | https://arxiv.org/abs/2410.23326v3 | MCES @ 1 | 14.14 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Fingerprint FFN | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 1 | 5.09 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Fingerprint FFN | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 5 | 14.69 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Fingerprint FFN | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 20 | 31.97 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Fingerprint FFN | https://arxiv.org/abs/2410.23326v3 | MCES @ 1 | 14.94 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 1 | 4.42 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 5 | 14.46 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 20 | 30.76 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | DeepSets | https://arxiv.org/abs/2410.23326v3 | MCES @ 1 | 15.04 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 1 | 3.06 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 5 | 11.35 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random | https://arxiv.org/abs/2410.23326v3 | Hit rate @ 20 | 27.74 |
Molecule retrieval from MS/MS spectrum (bonus chemical formulae) | MassSpecGym | Random | https://arxiv.org/abs/2410.23326v3 | MCES @ 1 | 13.87 |
Human Activity Recognition | OAD dataset | ESTIE + VGG16 (transfer-learning) | https://ieeexplore.ieee.org/abstract/document/10459847 | Accuracy | 95.22 |
Human Activity Recognition | OAD dataset | STIE + VGG16 (transfer-learning) | https://ieeexplore.ieee.org/abstract/document/10459847 | Accuracy | 94.77 |
Human Activity Recognition | OAD dataset | STIE + VGG16(fine-tuning) | https://www.scitepress.org/PublicationsDetail.aspx?ID=rsbxRj6Ic2Y=&t=1 | Accuracy | 86.81 |
Human Activity Recognition | HMDB51 | Label-Ranker | https://www.preprints.org/manuscript/202503.0003/v1 | Accuracy | 61.18% |
Human Activity Recognition | RHM | Dual-Stream C3D | https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors | Accuracy (Top-1) | 71.06 |
Human Activity Recognition | RHM | C3D | https://scholar.google.com/citations?view_op=view_citation&hl=en&user=brVh080AAAAJ&citation_for_view=brVh080AAAAJ:IjCSPb-OGe4C | Accuracy (Top-1) | 70.3 |
Human Activity Recognition | RHM | Dual-Stream ConvNet | https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors | Accuracy (Top-1) | 62.77 |
Human Activity Recognition | RHM | SlowFast (101) | https://ieeexplore.ieee.org/abstract/document/10719749/authors#authors | Accuracy (Top-1) | 45.28 |
Human Activity Recognition | Radar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition) | DIAT-RadHARNet | https://ieeexplore.ieee.org/abstract/document/9721839 | 1:1 Accuracy | 99.22 |
Human Activity Recognition | PAMAP2 | Selective HAR Clustering | https://arxiv.org/abs/2209.08335v1 | NMI | 0.884 |
Human Activity Recognition | PAMAP2 | Selective HAR Clustering | https://arxiv.org/abs/2209.08335v1 | ARI | 0.814 |
Human Activity Recognition | PAMAP2 | Unsupervised embedding learning for human activity recognition using wearable sensor data | null | NMI | 0.873 |
Human Activity Recognition | PAMAP2 | Unsupervised embedding learning for human activity recognition using wearable sensor data | null | ARI | 0.802 |
Human Activity Recognition | PAMAP2 | AFVF | https://arxiv.org/abs/2312.02185v1 | Accuracy | 0.9672 |
Human Activity Recognition | PAMAP2 | AFVF | https://arxiv.org/abs/2312.02185v1 | Macro F1 | 0.9665 |
Human Activity Recognition | MM-Fit | unsupervised statistical feature guided diffusion model | https://arxiv.org/abs/2306.05285v2 | F1 - macro | 0.441 |
Human Activity Recognition | UCF 101 | Label-Ranker | https://www.preprints.org/manuscript/202503.0003/v1 | Accuracy | 89.50% |
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