{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/classification-1/papers/61","list_of":"/task/classification-1","task":"Classification","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":61,"pages_in_order":129,"rows_per_page":100,"rows":[6001,6100],"of":12815,"counts":{"archive_papers_tagged":12815,"with_a_code_link":3778,"where_syntology_ran_a_sample":582,"not_listed_spam_title":0,"listed":12815,"listed_where_code_ran":582,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":457,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":457,"listed_every_run_a_failure_of_syntologys_instrument":125,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/classification-1","prev":"/task/classification-1/papers/60","next":"/task/classification-1/papers/62","papers":[{"url":null,"slug":"automated-sex-classification-of-children-s","title":"Automated Sex Classification of Children's Voices and Changes in Differentiating Factors with Age","date":"2022-09-27","arxiv_id":"2209.13112","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-tnt-efficient-vehicle-type","title":"Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery","date":"2022-09-27","arxiv_id":"2209.13500","repositories_listed":0,"syntology":null},{"url":null,"slug":"genetic-programming-based-evolutionary-deep","title":"Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification","date":"2022-09-27","arxiv_id":"2209.13233","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-dysarthria-severity","title":"Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil","date":"2022-09-26","arxiv_id":"2209.12942","repositories_listed":0,"syntology":null},{"url":null,"slug":"habitat-classification-from-satellite","title":"Habitat classification from satellite observations with sparse annotations","date":"2022-09-26","arxiv_id":"2209.12995","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-feedback-type-on-explanatory","title":"Impact of Feedback Type on Explanatory Interactive Learning","date":"2022-09-26","arxiv_id":"2209.12476","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-efficient-online-imitation-learning-via","title":"On Efficient Online Imitation Learning via Classification","date":"2022-09-26","arxiv_id":"2209.12868","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-classification-using-sequence-of-pixels","title":"Image Classification using Sequence of Pixels","date":"2022-09-23","arxiv_id":"2209.11495","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-recurrent-spiking-neural","title":"Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification","date":"2022-09-22","arxiv_id":"2211.04297","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-attention-based-interpretability-of","title":"An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification","date":"2022-09-22","arxiv_id":"2209.10876","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dpct-3d-point-cloud-transformer-with-dual","title":"3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation","date":"2022-09-21","arxiv_id":"2209.11255","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-robustness-of-angluin-s-l-algorithm","title":"Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise","date":"2022-09-21","arxiv_id":"2209.10315","repositories_listed":0,"syntology":null},{"url":null,"slug":"smtce-a-social-media-text-classification","title":"SMTCE: A Social Media Text Classification Evaluation Benchmark and BERTology Models for Vietnamese","date":"2022-09-21","arxiv_id":"2209.10482","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-max-relevance-min-divergence-criterion-for","title":"A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes","date":"2022-09-20","arxiv_id":"2209.10095","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tent-levy-flying-sparrow-search-algorithm","title":"A Tent Lévy Flying Sparrow Search Algorithm for Feature Selection: A COVID-19 Case Study","date":"2022-09-20","arxiv_id":"2209.10542","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-classification-of-solder-joints","title":"Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence","date":"2022-09-20","arxiv_id":"2209.09857","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-acceptance-regions-for-many-classes","title":"Learning Acceptance Regions for Many Classes with Anomaly Detection","date":"2022-09-20","arxiv_id":"2209.09963","repositories_listed":0,"syntology":null},{"url":null,"slug":"simultaneous-segmentation-and-classification-1","title":"Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images","date":"2022-09-20","arxiv_id":"2209.09582","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-auditing-unsupervised-learning","title":"Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness","date":"2022-09-20","arxiv_id":"2209.11762","repositories_listed":0,"syntology":null},{"url":null,"slug":"twitter-topic-classification","title":"Twitter Topic Classification","date":"2022-09-20","arxiv_id":"2209.09824","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-approach-for-wafer-defect-pattern","title":"A novel approach for wafer defect pattern classification based on topological data analysis","date":"2022-09-19","arxiv_id":"2209.08945","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-study-of-machine-learning-and","title":"Comparative study of machine learning and deep learning methods on ASD classification","date":"2022-09-18","arxiv_id":"2209.08601","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-adaptation-of-adult-child-facial","title":"Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features","date":"2022-09-18","arxiv_id":"2209.08614","repositories_listed":0,"syntology":null},{"url":null,"slug":"imbalanced-nodes-classification-for-graph","title":"Imbalanced Node Processing Method in Graph Neural Network Classification Task","date":"2022-09-18","arxiv_id":"2209.08514","repositories_listed":0,"syntology":null},{"url":null,"slug":"vistanet-attention-guided-deep-fusion-for","title":"VisTaNet: Attention Guided Deep Fusion for Surface Roughness Classification","date":"2022-09-18","arxiv_id":"2209.08516","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-the-deviations-in-performance-of","title":"A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images","date":"2022-09-17","arxiv_id":"2209.08262","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-classification-with-contrastive","title":"Few-Shot Classification with Contrastive Learning","date":"2022-09-17","arxiv_id":"2209.08224","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-labeling-of-fmri-brain-networks-using","title":"Deep Labeling of fMRI Brain Networks Using Cloud Based Processing","date":"2022-09-16","arxiv_id":"2209.08200","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-tensor-networks-with-matrix-product","title":"Deep tensor networks with matrix product operators","date":"2022-09-16","arxiv_id":"2209.09098","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-interdisciplinary-topic","title":"Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification","date":"2022-09-16","arxiv_id":"2209.13519","repositories_listed":0,"syntology":null},{"url":null,"slug":"traffic-congestion-prediction-using-deep","title":"Traffic Congestion Prediction using Deep Convolutional Neural Networks: A Color-coding Approach","date":"2022-09-16","arxiv_id":"2209.07943","repositories_listed":0,"syntology":null},{"url":null,"slug":"vinet-visual-and-inertial-based-terrain","title":"VINet: Visual and Inertial-based Terrain Classification and Adaptive Navigation over Unknown Terrain","date":"2022-09-16","arxiv_id":"2209.07725","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semantic-hierarchical-graph-neural-network","title":"A semantic hierarchical graph neural network for text classification","date":"2022-09-15","arxiv_id":"2209.07031","repositories_listed":0,"syntology":null},{"url":null,"slug":"environment-classification-via-blind","title":"Environment Classification via Blind Roomprints Estimation","date":"2022-09-15","arxiv_id":"2209.07196","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-solve-a-classification-problem-using-a","title":"How to solve a classification problem using a cooperative tiling Multi-Agent System?","date":"2022-09-15","arxiv_id":"2209.14239","repositories_listed":0,"syntology":null},{"url":null,"slug":"hub-aware-random-walk-graph-embedding-methods","title":"Hub-aware Random Walk Graph Embedding Methods for Classification","date":"2022-09-15","arxiv_id":"2209.07603","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-set-recognition-for-music-genre","title":"Open Set Recognition For Music Genre Classification","date":"2022-09-15","arxiv_id":"2209.07548","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ensemble-multi-agent-system-for-non-linear","title":"An ensemble Multi-Agent System for non-linear classification","date":"2022-09-14","arxiv_id":"2209.06824","repositories_listed":0,"syntology":null},{"url":null,"slug":"cat-controllable-attribute-translation-for","title":"CAT: Controllable Attribute Translation for Fair Facial Attribute Classification","date":"2022-09-14","arxiv_id":"2209.06850","repositories_listed":0,"syntology":null},{"url":null,"slug":"dash-visual-analytics-for-debiasing-image","title":"DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation","date":"2022-09-14","arxiv_id":"2209.06357","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-product-classification-with-instance-1","title":"Robust Product Classification with Instance-Dependent Noise","date":"2022-09-14","arxiv_id":"2209.06946","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-capsule-network-for-hierarchical-multi","title":"A Capsule Network for Hierarchical Multi-Label Image Classification","date":"2022-09-13","arxiv_id":"2209.05723","repositories_listed":0,"syntology":null},{"url":null,"slug":"histoperm-a-permutation-based-view-generation","title":"HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning","date":"2022-09-13","arxiv_id":"2209.06185","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-parametric-temporal-adaptation-for-social","title":"Non-Parametric Temporal Adaptation for Social Media Topic Classification","date":"2022-09-13","arxiv_id":"2209.05706","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evaluation-of-low-overhead-time-series","title":"An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning","date":"2022-09-12","arxiv_id":"2209.05300","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-hazard-event-via-language","title":"A new hazard event classification model via deep learning and multifractal","date":"2022-09-12","arxiv_id":"2209.05263","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-approximate-kernel-based-spike","title":"Efficient Approximate Kernel Based Spike Sequence Classification","date":"2022-09-11","arxiv_id":"2209.04952","repositories_listed":0,"syntology":null},{"url":null,"slug":"problem-classification-for-tailored-helpdesk","title":"Problem Classification for Tailored Helpdesk Auto-Replies","date":"2022-09-11","arxiv_id":"2211.07603","repositories_listed":0,"syntology":null},{"url":null,"slug":"stability-of-syntactic-dialect-classification","title":"Stability of Syntactic Dialect Classification Over Space and Time","date":"2022-09-11","arxiv_id":"2209.04958","repositories_listed":0,"syntology":null},{"url":null,"slug":"variational-autoencoder-kernel-interpretation","title":"Variational Autoencoder Kernel Interpretation and Selection for Classification","date":"2022-09-10","arxiv_id":"2209.04715","repositories_listed":0,"syntology":null},{"url":null,"slug":"yes-dlgm-a-novel-hierarchical-model-for","title":"Yes, DLGM! A novel hierarchical model for hazard classification","date":"2022-09-10","arxiv_id":"2209.04576","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-the-environmental-perception-of","title":"Improving the Environmental Perception of Autonomous Vehicles using Deep Learning-based Audio Classification","date":"2022-09-09","arxiv_id":"2209.04075","repositories_listed":0,"syntology":null},{"url":null,"slug":"in-situ-animal-behavior-classification-using","title":"In-situ animal behavior classification using knowledge distillation and fixed-point quantization","date":"2022-09-09","arxiv_id":"2209.04130","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-by-design-classification-via-unitary","title":"Robust-by-Design Classification via Unitary-Gradient Neural Networks","date":"2022-09-09","arxiv_id":"2209.04293","repositories_listed":0,"syntology":null},{"url":"/paper/improving-plant-disease-classification-by","slug":"improving-plant-disease-classification-by","title":"Improving plant disease classification by adaptive minimal ensembling","date":"2022-09-08","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rgb-x-classification-for-electronics-sorting","title":"RGB-X Classification for Electronics Sorting","date":"2022-09-08","arxiv_id":"2209.03509","repositories_listed":0,"syntology":null},{"url":null,"slug":"sign-language-detection","title":"Sign Language Detection","date":"2022-09-08","arxiv_id":"2209.03578","repositories_listed":0,"syntology":null},{"url":null,"slug":"plant-species-classification-using-transfer","title":"Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19","date":"2022-09-07","arxiv_id":"2209.03076","repositories_listed":0,"syntology":null},{"url":"/paper/sprsound-open-source-sjtu-paediatric","slug":"sprsound-open-source-sjtu-paediatric","title":"SPRSound: Open-Source SJTU Paediatric Respiratory Sound Database","date":"2022-09-07","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-transformer-for-soil-classification","title":"Visual Transformer for Soil Classification","date":"2022-09-07","arxiv_id":"2209.02950","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-protocols-with-minimal","title":"Classification Protocols with Minimal Disclosure","date":"2022-09-06","arxiv_id":"2209.02690","repositories_listed":0,"syntology":null},{"url":null,"slug":"cp-agcn-pytorch-based-attention-informed","title":"CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy","date":"2022-09-06","arxiv_id":"2209.02824","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-for-classification-of-1","title":"Machine Learning For Classification Of Antithetical Emotional States","date":"2022-09-06","arxiv_id":"2209.02249","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-swin-transformer-for-motion","title":"Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation","date":"2022-09-06","arxiv_id":"2209.02470","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-aspect-level-sentiment","title":"Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition","date":"2022-09-06","arxiv_id":"2209.02276","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-representation-transfer-for-few-1","title":"A Study on Representation Transfer for Few-Shot Learning","date":"2022-09-05","arxiv_id":"2209.02073","repositories_listed":0,"syntology":null},{"url":null,"slug":"grasp-a-goodness-of-fit-test-for","title":"GRASP: A Goodness-of-Fit Test for Classification Learning","date":"2022-09-05","arxiv_id":"2209.02064","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-frequency-polsar-image-fusion","title":"Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure","date":"2022-09-05","arxiv_id":"2209.01921","repositories_listed":0,"syntology":null},{"url":null,"slug":"phage-taxonomic-classification-challenges","title":"Phage family classification under Caudoviricetes: a review of current tools using the latest ICTV classification framework","date":"2022-09-05","arxiv_id":"2209.01942","repositories_listed":0,"syntology":null},{"url":null,"slug":"visualization-of-class-activation-maps-to","title":"Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures","date":"2022-09-05","arxiv_id":"2209.02045","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-nearest-neighbors-algorithm-based-on","title":"A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean","date":"2022-09-04","arxiv_id":"2209.01514","repositories_listed":0,"syntology":null},{"url":null,"slug":"astra-a-novel-algorithm-level-approach-to","title":"ASTra: A Novel Algorithm-Level Approach to Imbalanced Classification","date":"2022-09-04","arxiv_id":"2209.01685","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-deep-supervision-for-skin-lesion","title":"Data-Driven Deep Supervision for Skin Lesion Classification","date":"2022-09-04","arxiv_id":"2209.01527","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-preserving-generative-adversarial","title":"Latent Preserving Generative Adversarial Network for Imbalance classification","date":"2022-09-04","arxiv_id":"2209.01555","repositories_listed":0,"syntology":null},{"url":null,"slug":"rice-leaf-disease-classification-and","title":"Rice Leaf Disease Classification and Detection Using YOLOv5","date":"2022-09-04","arxiv_id":"2209.01579","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-class-aware-representation-refinement","title":"A Class-Aware Representation Refinement Framework for Graph Classification","date":"2022-09-02","arxiv_id":"2209.00936","repositories_listed":0,"syntology":null},{"url":null,"slug":"binimg2vec-augmenting-malware-binary-image","title":"BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec","date":"2022-09-02","arxiv_id":"2209.00782","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-with-uncertain-data-envelopment","title":"Classifying with Uncertain Data Envelopment Analysis","date":"2022-09-02","arxiv_id":"2209.01052","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-information-fusion-for-glaucoma","title":"Multimodal Information Fusion for Glaucoma and DR Classification","date":"2022-09-02","arxiv_id":"2209.00979","repositories_listed":0,"syntology":null},{"url":null,"slug":"combating-noisy-labels-in-long-tailed-image","title":"Combating Noisy Labels in Long-Tailed Image Classification","date":"2022-09-01","arxiv_id":"2209.00273","repositories_listed":0,"syntology":null},{"url":null,"slug":"cps-attack-detection-under-limited-local","title":"CPS Attack Detection under Limited Local Information in Cyber Security: A Multi-node Multi-class Classification Ensemble Approach","date":"2022-09-01","arxiv_id":"2209.00170","repositories_listed":0,"syntology":null},{"url":null,"slug":"developing-an-argument-annotation-scheme","title":"Developing an argument annotation scheme based on a semantic classification of arguments","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-learning-with-wasserstein-barycenters","title":"Fair learning with Wasserstein barycenters for non-decomposable performance measures","date":"2022-09-01","arxiv_id":"2209.00427","repositories_listed":0,"syntology":null},{"url":null,"slug":"hate-speech-classification-in-bulgarian","title":"Hate Speech Classification in Bulgarian","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-models-for-large-scale-object-detection","title":"Image Models for large-scale Object Detection and Classification","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ontology-supported-frame-classification","title":"Ontology Supported Frame Classification","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-multidimensional-textural-perception","title":"Towards Multidimensional Textural Perception and Classification Through Whisker","date":"2022-09-01","arxiv_id":"2209.03750","repositories_listed":0,"syntology":null},{"url":null,"slug":"classical-to-quantum-convolutional-neural","title":"Classical-to-quantum convolutional neural network transfer learning","date":"2022-08-31","arxiv_id":"2208.14708","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-electroencephalograms","title":"Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning","date":"2022-08-31","arxiv_id":"2209.00627","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-eye-state-using-eeg","title":"Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure","date":"2022-08-31","arxiv_id":"2209.01023","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-multi-scale-representation-learning-with","title":"Deep Multi-Scale Representation Learning with Attention for Automatic Modulation Classification","date":"2022-08-31","arxiv_id":"2209.03764","repositories_listed":0,"syntology":null},{"url":null,"slug":"tradeoffs-in-resampling-and-filtering-for","title":"Tradeoffs in Resampling and Filtering for Imbalanced Classification","date":"2022-08-31","arxiv_id":"2209.00127","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-job-classification-with-zero-shot","title":"Flexible Job Classification with Zero-Shot Learning","date":"2022-08-30","arxiv_id":"2209.12678","repositories_listed":0,"syntology":null},{"url":null,"slug":"percentmatch-percentile-based-dynamic","title":"PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification","date":"2022-08-30","arxiv_id":"2208.13946","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lightweight-hybrid-cnn-lstm-model-for-ecg","title":"A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection","date":"2022-08-29","arxiv_id":"2209.00988","repositories_listed":0,"syntology":null},{"url":null,"slug":"dimension-independent-data-sets-approximation","title":"Dimension Independent Data Sets Approximation and Applications to Classification","date":"2022-08-29","arxiv_id":"2208.13781","repositories_listed":0,"syntology":null},{"url":null,"slug":"pgnaa-spectral-classification-of-metal-with","title":"PGNAA Spectral Classification of Metal with Density Estimations","date":"2022-08-29","arxiv_id":"2208.13836","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-human-activity-recognition","title":"Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning","date":"2022-08-26","arxiv_id":"2209.00990","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-fall-events-classification-with","title":"Two-stage Fall Events Classification with Human Skeleton Data","date":"2022-08-25","arxiv_id":"2208.12027","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-method-for-data-augmentation-nine-dot","title":"A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS)","date":"2022-08-24","arxiv_id":"2208.11532","repositories_listed":0,"syntology":null}],"record_sha256":"ee35eac147ce48229f6fbf4ab26c92248d3d7315cf02410adc0e227062223802","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}