prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Deep Sleep Net model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the Simple Sleep Net model in the Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the CatBoost model in the Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the DeepSleepNet model in the DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the Linear model model in the paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the SPDTransNet model in the Structure-Preserving Transformers for Sequences of SPD Matrices paper on the MASS SS3 dataset? | Accuracy, Cohen's kappa, Macro-F1, Macro-averaged Accuracy |
What metrics were used to measure the SleePyCo (Fpz-Cz only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the Sleep-EDF (single-channel) dataset? | Accuracy |
What metrics were used to measure the IITNet (Fpz-Cz only) model in the Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG paper on the Sleep-EDF (single-channel) dataset? | Accuracy |
What metrics were used to measure the SleePyCo (C3-A2 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the PhysioNet Challenge 2018 (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (C3-A2 only) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the PhysioNet Challenge 2018 (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SleePyCo (C4-A1 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the MASS (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet (C4-A1 only) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the MASS (single-channel) dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the XSleepNet2 (EEG, EOG, EMG) model in the XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging paper on the SHHS dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the SleePyCo (C4-A1 only) model in the SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning paper on the SHHS dataset? | Accuracy, Cohen's Kappa, Macro-F1 |
What metrics were used to measure the Seq2Seq4ATE model in the Exploring Sequence-to-Sequence Learning in Aspect Term Extraction paper on the SemEval 2014 Task 4 Laptop dataset? | F1-Score |
What metrics were used to measure the Baseline model in the AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation paper on the AWARE dataset? | F1-Score |
What metrics were used to measure the DAS model in the Continual Pre-training of Language Models paper on the ACL-ARC dataset? | F1 (macro) |
What metrics were used to measure the CPT model in the Continual Training of Language Models for Few-Shot Learning paper on the AG News dataset? | F1 - macro |
What metrics were used to measure the DAS model in the Continual Pre-training of Language Models paper on the SciERC dataset? | F1 (macro) |
What metrics were used to measure the FC-Siam-Diff model in the Fully Convolutional Siamese Networks for Change Detection paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the FC-EF model in the Fully Convolutional Siamese Networks for Change Detection paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the DINO-MC (WRN-50) model in the DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the SeCo model in the Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the Task 2 CVA+Triangle model in the Self-supervised pre-training enhances change detection in Sentinel-2 imagery paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the Task 2 linear model in the Self-supervised pre-training enhances change detection in Sentinel-2 imagery paper on the OSCD - 13ch dataset? | F1, Precision |
What metrics were used to measure the C-3PO model in the How to Reduce Change Detection to Semantic Segmentation paper on the PCD dataset? | F1 score |
What metrics were used to measure the P2V-CD model in the Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images paper on the CDD Dataset (season-varying) dataset? | F1-Score |
What metrics were used to measure the SNUNet-c48 model in the SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images paper on the CDD Dataset (season-varying) dataset? | F1-Score |
What metrics were used to measure the SNUNet-c32 model in the SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images paper on the CDD Dataset (season-varying) dataset? | F1-Score |
What metrics were used to measure the ESCNet model in the ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images paper on the CDD Dataset (season-varying) dataset? | F1-Score |
What metrics were used to measure the ChangeFormer model in the A Transformer-Based Siamese Network for Change Detection paper on the DSIFN-CD dataset? | F1, IoU, Overall Accuracy, Params(M) |
What metrics were used to measure the USSFC-Net model in the Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images paper on the DSIFN-CD dataset? | F1, IoU, Overall Accuracy, Params(M) |
What metrics were used to measure the SARAS-Net model in the SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection paper on the DSIFN-CD dataset? | F1, IoU, Overall Accuracy, Params(M) |
What metrics were used to measure the ChangeStar(1x96, MiT-b1, Changen-90k) model in the Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process paper on the S2Looking dataset? | F1-Score |
What metrics were used to measure the ChangeStar(1x96, ResNet-18, Changen-90k) model in the Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process paper on the S2Looking dataset? | F1-Score |
What metrics were used to measure the Changer (Ex, ResNet-18) model in the Changer: Feature Interaction is What You Need for Change Detection paper on the S2Looking dataset? | F1-Score |
What metrics were used to measure the C-3PO model in the How to Reduce Change Detection to Semantic Segmentation paper on the ChangeSim dataset? | Category mIoU |
What metrics were used to measure the Changer (Ex, ResNeSt101) model in the Changer: Feature Interaction is What You Need for Change Detection paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the Changer (Ex, ResNeSt50) model in the Changer: Feature Interaction is What You Need for Change Detection paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the P2V-CD model in the Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the Changer (Ex, ResNet-18) model in the Changer: Feature Interaction is What You Need for Change Detection paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the ChangeStar(BiSup) model in the Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the ChangeFormer model in the A Transformer-Based Siamese Network for Change Detection paper on the LEVIR-CD dataset? | F1, IoU, Overall Accuracy |
What metrics were used to measure the FC-EF model in the Fully Convolutional Siamese Networks for Change Detection paper on the OSCD - 3ch dataset? | F1, Precision |
What metrics were used to measure the FC-Siam-diff model in the Fully Convolutional Siamese Networks for Change Detection paper on the OSCD - 3ch dataset? | F1, Precision |
What metrics were used to measure the PSRGAN model in the Infrared Image Super-Resolution via Transfer Learning and PSRGAN paper on the results-A dataset? | Average PSNR |
What metrics were used to measure the PSRGAN model in the Infrared Image Super-Resolution via Transfer Learning and PSRGAN paper on the results-C dataset? | Average PSNR |
What metrics were used to measure the Hokkien→En (Two-pass decoding) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the Hokkien→En (Two-stage) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the Hokkien→En (Three-stage) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the Hokkien→En (Single-pass decoding) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the En→Hokkien (Two-pass decoding) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the En→Hokkien (Three-stage) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the En→Hokkien (Two-stage) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the En→Hokkien (Single-pass decoding) model in the Speech-to-speech translation for a real-world unwritten language paper on the TAT dataset? | ASR-BLEU (Dev), ASR-BLEU (Test) |
What metrics were used to measure the Fine-tuned SOTA model in the Text and Code Embeddings by Contrastive Pre-Training paper on the MS MARCO dataset? | MRR@10 |
What metrics were used to measure the cpt-text XL model in the Text and Code Embeddings by Contrastive Pre-Training paper on the MS MARCO dataset? | MRR@10 |
What metrics were used to measure the cpt-text L model in the Text and Code Embeddings by Contrastive Pre-Training paper on the MS MARCO dataset? | MRR@10 |
What metrics were used to measure the BM25 model in the Text and Code Embeddings by Contrastive Pre-Training paper on the MS MARCO dataset? | MRR@10 |
What metrics were used to measure the Pix2SG model in the Location-Free Scene Graph Generation paper on the 4D-OR dataset? | F1 |
What metrics were used to measure the LABRAD-OR model in the LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms paper on the 4D-OR dataset? | F1 |
What metrics were used to measure the 4D-OR baseline model in the 4D-OR: Semantic Scene Graphs for OR Domain Modeling paper on the 4D-OR dataset? | F1 |
What metrics were used to measure the FactorizableNet model in the Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation paper on the VRD dataset? | Recall@50 |
What metrics were used to measure the VRD model in the Visual Relationship Detection with Language Priors paper on the VRD dataset? | Recall@50 |
What metrics were used to measure the SceneGraphFusion model in the SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences paper on the 3R-Scan dataset? | Top-5 Accuracy |
What metrics were used to measure the 3DSSG [Wald2020_3dssg] model in the SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences paper on the 3R-Scan dataset? | Top-5 Accuracy |
What metrics were used to measure the Causal-TDE model in the Unbiased Scene Graph Generation from Biased Training paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the SG-EBM model in the Energy-Based Learning for Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the GPS-Net model in the GPS-Net: Graph Property Sensing Network for Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the LOGIN model in the Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the VCTree model in the Learning to Compose Dynamic Tree Structures for Visual Contexts paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the NODIS model in the NODIS: Neural Ordinary Differential Scene Understanding paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the KERN model in the Knowledge-Embedded Routing Network for Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the DLFE model in the Recovering the Unbiased Scene Graphs from the Biased Ones paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the IETrans model in the Fine-Grained Scene Graph Generation with Data Transfer paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the Graph-RCNN model in the Graph R-CNN for Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the MSDN model in the Scene Graph Generation from Objects, Phrases and Region Captions paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the C-bias model in the Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the CogTree model in the CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation paper on the Visual Genome dataset? | Recall@50, mean Recall @20, Recall@100, Recall@20, mean Recall @100 |
What metrics were used to measure the RECALL model in the RECALL: Rehearsal-free Continual Learning for Object Classification paper on the HOWS long dataset? | Overall accuracy after last sequence |
What metrics were used to measure the SVM model in the Classifying the Ideological Orientation of User-Submitted Texts in Social Media paper on the Reddit Ideology Database dataset? | F1-score (Weighted) |
What metrics were used to measure the RoBERTa model in the Classifying the Ideological Orientation of User-Submitted Texts in Social Media paper on the Reddit Ideology Database dataset? | F1-score (Weighted) |
What metrics were used to measure the Swin Transformer Base (Patch 4 Window 12) model in the A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images paper on the Autoimmune Dataset dataset? | F1 score |
What metrics were used to measure the CASS model in the CASS: Cross Architectural Self-Supervision for Medical Image Analysis paper on the Autoimmune Dataset dataset? | F1 score |
What metrics were used to measure the DINO model in the CASS: Cross Architectural Self-Supervision for Medical Image Analysis paper on the Autoimmune Dataset dataset? | F1 score |
What metrics were used to measure the VANBUREN et all model in the A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images paper on the Autoimmune Dataset dataset? | F1 score |
What metrics were used to measure the Spiking VGG-11 model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the N-CARS dataset? | Accuracy |
What metrics were used to measure the Spiking MobileNet-64 model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the N-CARS dataset? | Accuracy |
What metrics were used to measure the Spiking DenseNet121-24 model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the N-CARS dataset? | Accuracy |
What metrics were used to measure the MCNN-LSTM model in the Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model paper on the CWRU Bearing Dataset dataset? | 10 fold Cross validation |
What metrics were used to measure the CNN model in the FaultNet: A Deep Convolutional Neural Network for bearing fault classification paper on the CWRU Bearing Dataset dataset? | 10 fold Cross validation |
What metrics were used to measure the GLNet model in the Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments paper on the RSSCN7 dataset? | 1:1 Accuracy |
What metrics were used to measure the CPM model in the Convolutional Pose Machines paper on the RSSCN7 dataset? | 1:1 Accuracy |
What metrics were used to measure the 1DCNN-ResNet model in the Sound-based drone fault classification using multitask learning paper on the Sound-based drone fault classification using multitask learning dataset? | macro f1 score (A(100), B(100), C(100) Avg.) |
What metrics were used to measure the AAPSO-Deep Feature Selection model in the An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays paper on the Chest X-Ray Images (Pneumonia) dataset? | Accuracy |
What metrics were used to measure the pFedBreD_ns_mg model in the Personalized Federated Learning with Hidden Information on Personalized Prior paper on the Sentiment140 dataset? | Accuracy |
What metrics were used to measure the CASS model in the CASS: Cross Architectural Self-Supervision for Medical Image Analysis paper on the Brain Tumor MRI Dataset dataset? | F1 score |
What metrics were used to measure the DINO model in the CASS: Cross Architectural Self-Supervision for Medical Image Analysis paper on the Brain Tumor MRI Dataset dataset? | F1 score |
What metrics were used to measure the CNN model in the CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images paper on the CIFAKE: Real and AI-Generated Synthetic Images dataset? | Validation Accuracy |
What metrics were used to measure the TSEM model in the TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series paper on the UCI Epileptic Seizure Recognition dataset? | Accuracy |
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