{"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/binary-classification/papers/19","list_of":"/task/binary-classification","task":"Binary 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":19,"pages_in_order":26,"rows_per_page":100,"rows":[1801,1900],"of":2574,"counts":{"archive_papers_tagged":2574,"with_a_code_link":710,"where_syntology_ran_a_sample":115,"not_listed_spam_title":0,"listed":2574,"listed_where_code_ran":115,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":100,"every_run_a_failure_of_syntologys_instrument":15,"listed_with_a_run_with_no_instrument_failure":100,"listed_every_run_a_failure_of_syntologys_instrument":15,"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/binary-classification","prev":"/task/binary-classification/papers/18","next":"/task/binary-classification/papers/20","papers":[{"url":null,"slug":"morphological-classification-of-astronomical","title":"Morphological classification of astronomical images with limited labelling","date":"2021-04-27","arxiv_id":"2105.02958","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-approaches-for-inferring","title":"Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data","date":"2021-04-25","arxiv_id":"2104.12055","repositories_listed":0,"syntology":null},{"url":null,"slug":"achieving-small-test-error-in-mildly","title":"Achieving Small Test Error in Mildly Overparameterized Neural Networks","date":"2021-04-24","arxiv_id":"2104.11895","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysing-cyberbullying-using-natural","title":"Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media","date":"2021-04-23","arxiv_id":"2107.08902","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-vision-detection-to-daily-facial","title":"Machine vision detection to daily facial fatigue with a nonlocal 3D attention network","date":"2021-04-21","arxiv_id":"2104.10420","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-based-depression-severity-level","title":"Speech based Depression Severity Level Classification Using a Multi-Stage Dilated CNN-LSTM Model","date":"2021-04-09","arxiv_id":"2104.04195","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-based-on-natural-language","title":"Machine Learning Based on Natural Language Processing to Detect Cardiac Failure in Clinical Narratives","date":"2021-04-08","arxiv_id":"2104.03934","repositories_listed":0,"syntology":null},{"url":null,"slug":"nanosecond-machine-learning-event","title":"Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics","date":"2021-04-07","arxiv_id":"2104.03408","repositories_listed":0,"syntology":null},{"url":null,"slug":"siamese-neural-network-with-joint-bayesian","title":"Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification","date":"2021-04-07","arxiv_id":"2104.03004","repositories_listed":0,"syntology":null},{"url":null,"slug":"three-class-overlapped-speech-detection-using","title":"Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network","date":"2021-04-07","arxiv_id":"2104.02878","repositories_listed":0,"syntology":null},{"url":null,"slug":"taming-adversarial-robustness-via-abstaining","title":"Robust Adversarial Classification via Abstaining","date":"2021-04-06","arxiv_id":"2104.02334","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-surrogate-loss-function-for-optimization-of","title":"A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data","date":"2021-04-03","arxiv_id":"2104.01459","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-universum-quadratic-surface-support","title":"Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification","date":"2021-04-03","arxiv_id":"2104.01331","repositories_listed":0,"syntology":null},{"url":null,"slug":"tapas-at-semeval-2021-task-9-reasoning-over","title":"TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training","date":"2021-04-02","arxiv_id":"2104.01099","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-support-vector-machine-over","title":"Distributed support-vector-machine over dynamic balanced directed networks","date":"2021-04-01","arxiv_id":"2104.00399","repositories_listed":0,"syntology":null},{"url":null,"slug":"related-named-entities-classification-in-the","title":"Related Named Entities Classification in the Economic-Financial Context","date":"2021-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-detection-of-compressed-and","title":"Reliable Detection of Compressed and Encrypted Data","date":"2021-03-31","arxiv_id":"2103.17059","repositories_listed":0,"syntology":null},{"url":null,"slug":"cyberlearning-effectiveness-analysis-of","title":"CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks","date":"2021-03-28","arxiv_id":"2104.08080","repositories_listed":0,"syntology":null},{"url":"/paper/annotating-hate-and-offenses-on-social-media","slug":"annotating-hate-and-offenses-on-social-media","title":"HateBR: A Large Expert Annotated Corpus of Brazilian Instagram Comments for Offensive Language and Hate Speech Detection","date":"2021-03-27","arxiv_id":"2103.14972","repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-automated-2d-and-3d-convolutional","title":"Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography","date":"2021-03-26","arxiv_id":"2103.14734","repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-disease-prediction-using-tail","title":"Binary disease prediction using tail quantiles of the distribution of continuous biomarkers","date":"2021-03-23","arxiv_id":"2103.12409","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-success-of-adaboost-and-its-application","title":"The Success of AdaBoost and Its Application in Portfolio Management","date":"2021-03-23","arxiv_id":"2103.12345","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-link-between-coding-theory-and-cross","title":"A Link between Coding Theory and Cross-Validation with Applications","date":"2021-03-22","arxiv_id":"2103.11856","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-increase-matching-efficiency-in","title":"Learning to increase matching efficiency in identifying additional b-jets in the $\\text{t}\\bar{\\text{t}}\\text{b}\\bar{\\text{b}}$ process","date":"2021-03-16","arxiv_id":"2103.09129","repositories_listed":0,"syntology":null},{"url":null,"slug":"direct-symbol-decoding-using-ga-svm-in","title":"Direct Symbol Decoding using GA-SVM in Chaotic Baseband Wireless Communication System","date":"2021-03-15","arxiv_id":"2103.10855","repositories_listed":0,"syntology":null},{"url":null,"slug":"brainnetgan-data-augmentation-of-brain","title":"BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification","date":"2021-03-10","arxiv_id":"2103.08494","repositories_listed":0,"syntology":null},{"url":null,"slug":"mining-program-properties-from-neural","title":"Mining Program Properties From Neural Networks Trained on Source Code Embeddings","date":"2021-03-09","arxiv_id":"2103.05442","repositories_listed":0,"syntology":null},{"url":null,"slug":"exact-distribution-free-hypothesis-tests-for","title":"Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings","date":"2021-03-08","arxiv_id":"2103.05126","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-difficulty-classification-of-arabic","title":"Automatic Difficulty Classification of Arabic Sentences","date":"2021-03-07","arxiv_id":"2103.04386","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-off-road-semantic-segmentation","title":"Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning","date":"2021-03-05","arxiv_id":"2103.03651","repositories_listed":0,"syntology":null},{"url":null,"slug":"bad-and-good-errors-value-weighted-skill","title":"Bad and good errors: value-weighted skill scores in deep ensemble learning","date":"2021-03-04","arxiv_id":"2103.02881","repositories_listed":0,"syntology":null},{"url":null,"slug":"prostate-tissue-grading-with-deep-quantum","title":"Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression","date":"2021-03-04","arxiv_id":"2103.03188","repositories_listed":0,"syntology":null},{"url":"/paper/a-deeppixbis-attentional-angular-margin-for","slug":"a-deeppixbis-attentional-angular-margin-for","title":"A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing","date":"2021-03-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-minimax-probability-machine-for-non","title":"A Minimax Probability Machine for Non-Decomposable Performance Measures","date":"2021-02-28","arxiv_id":"2103.00396","repositories_listed":0,"syntology":null},{"url":null,"slug":"bert-based-acronym-disambiguation-with","title":"BERT-based Acronym Disambiguation with Multiple Training Strategies","date":"2021-02-25","arxiv_id":"2103.00488","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-interspeech-2021-computational","title":"The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates","date":"2021-02-24","arxiv_id":"2102.13468","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-quality-assessment-of-cognitive","title":"Automated Quality Assessment of Cognitive Behavioral Therapy Sessions Through Highly Contextualized Language Representations","date":"2021-02-23","arxiv_id":"2102.11573","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-high-order-interactions-via-targeted","title":"Learning High-Order Interactions via Targeted Pattern Search","date":"2021-02-23","arxiv_id":"2102.12974","repositories_listed":0,"syntology":null},{"url":null,"slug":"approximate-knowledge-graph-query-answering","title":"Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification","date":"2021-02-22","arxiv_id":"2102.11389","repositories_listed":0,"syntology":null},{"url":null,"slug":"link-prediction-approach-to-recommender","title":"Link Prediction Approach to Recommender Systems","date":"2021-02-18","arxiv_id":"2102.09185","repositories_listed":0,"syntology":null},{"url":null,"slug":"split-modeling-for-high-dimensional-logistic","title":"Data-Driven Logistic Regression Ensembles With Applications in Genomics","date":"2021-02-17","arxiv_id":"2102.08591","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-generalized-quadratic-loss-for-svm-and-deep","title":"A generalized quadratic loss for SVM and Deep Neural Networks","date":"2021-02-15","arxiv_id":"2102.07606","repositories_listed":0,"syntology":null},{"url":null,"slug":"don-t-just-blame-over-parametrization-for","title":"Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification","date":"2021-02-15","arxiv_id":"2102.07856","repositories_listed":0,"syntology":null},{"url":null,"slug":"sample-efficient-subspace-based","title":"Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning","date":"2021-02-14","arxiv_id":"2102.07206","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-through-regularization-for-learning","title":"Fairness Through Regularization for Learning to Rank","date":"2021-02-11","arxiv_id":"2102.05996","repositories_listed":0,"syntology":null},{"url":null,"slug":"faster-maximum-feasible-subsystem-solutions","title":"Faster Maximum Feasible Subsystem Solutions for Dense Constraint Matrices","date":"2021-02-10","arxiv_id":"2102.05744","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-approach-for-classification-and","title":"A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators","date":"2021-02-01","arxiv_id":"2102.00786","repositories_listed":0,"syntology":null},{"url":null,"slug":"super-fast-rates-in-structured-prediction","title":"Fast rates in structured prediction","date":"2021-02-01","arxiv_id":"2102.00760","repositories_listed":0,"syntology":null},{"url":"/paper/a-petri-dish-for-histopathology-image","slug":"a-petri-dish-for-histopathology-image","title":"A Petri Dish for Histopathology Image Analysis","date":"2021-01-29","arxiv_id":"2101.12355","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-fnirs-data-under","title":"Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach","date":"2021-01-18","arxiv_id":"2101.07128","repositories_listed":0,"syntology":null},{"url":null,"slug":"fundamental-tradeoffs-in-distributionally","title":"Fundamental Tradeoffs in Distributionally Adversarial Training","date":"2021-01-15","arxiv_id":"2101.06309","repositories_listed":0,"syntology":null},{"url":null,"slug":"walk-in-wild-an-ensemble-approach-for","title":"Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts","date":"2021-01-15","arxiv_id":"2101.06004","repositories_listed":0,"syntology":null},{"url":null,"slug":"tudublin-team-at-constraint-aaai2021-covid19","title":"TUDublin team at Constraint@AAAI2021 -- COVID19 Fake News Detection","date":"2021-01-14","arxiv_id":"2101.05701","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-adversarial-inconsistent-cognitive","title":"Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering","date":"2021-01-11","arxiv_id":"2101.03783","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-experimental-analysis-of-attack","title":"An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks","date":"2021-01-10","arxiv_id":"2101.12270","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-adaptive-pretraining-of-transformers-for","title":"Task Adaptive Pretraining of Transformers for Hostility Detection","date":"2021-01-09","arxiv_id":"2101.03382","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-symmetric-loss-perspective-of-reliable","title":"A Symmetric Loss Perspective of Reliable Machine Learning","date":"2021-01-05","arxiv_id":"2101.01366","repositories_listed":0,"syntology":null},{"url":null,"slug":"anomaly-recognition-from-surveillance-videos","title":"Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks","date":"2021-01-04","arxiv_id":"2101.01073","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-curriculum-learning","title":"Adaptive Curriculum Learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ae-smote-a-multi-modal-minority-oversampling","title":"AE-SMOTE: A Multi-Modal Minority Oversampling Framework","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"analysing-features-learned-using-unsupervised","title":"Analysing Features Learned Using Unsupervised Models on Program Embeddings","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"aul-is-a-better-optimization-metric-in-pu","title":"AUL is a better optimization metric in PU learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"distribution-embedding-network-for-meta","title":"Distribution Embedding Network for Meta-Learning with Variable-Length Input","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-sequence-generative-adversarial","title":"Improving Sequence Generative Adversarial Networks with Feature Statistics Alignment","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-one-hidden-layer-neural-networks-on","title":"Learning One-hidden-layer Neural Networks on Gaussian Mixture Models with Guaranteed Generalizability","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"minimum-excess-risk-in-bayesian-learning","title":"Minimum Excess Risk in Bayesian Learning","date":"2020-12-29","arxiv_id":"2012.14868","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-privacy-preserving-distributed","title":"Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare","date":"2020-12-23","arxiv_id":"2012.12591","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-approximation-properties-for-odenet","title":"Universal Approximation Properties for an ODENet and a ResNet: Mathematical Analysis and Numerical Experiments","date":"2020-12-22","arxiv_id":"2101.10229","repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-classification-tests-imperfect","title":"Binary Classification Tests, Imperfect Standards, and Ambiguous Information","date":"2020-12-21","arxiv_id":"2012.11215","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-anomaly-detectors-to-detect","title":"Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape","date":"2020-12-21","arxiv_id":"2012.11354","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-detection-of-abnormal-eeg-signals","title":"Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree","date":"2020-12-18","arxiv_id":"2012.10034","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-automatic-detection-of","title":"Five Psycholinguistic Characteristics for Better Interaction with Users","date":"2020-12-17","arxiv_id":"2012.09692","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-interval-based-aggregation-approach","title":"A new interval-based aggregation approach based on bagging and Interval Agreement Approach (IAA) in ensemble learning","date":"2020-12-15","arxiv_id":"2101.10267","repositories_listed":0,"syntology":null},{"url":null,"slug":"price-suggestion-for-online-second-hand-items","title":"Price Suggestion for Online Second-hand Items with Texts and Images","date":"2020-12-10","arxiv_id":"2012.06008","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-based-price-suggestion-for-online","title":"Vision-based Price Suggestion for Online Second-hand Items","date":"2020-12-10","arxiv_id":"2012.06009","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-parameter-free-frank-wolfe-with-an","title":"Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem","date":"2020-12-09","arxiv_id":"2012.05284","repositories_listed":0,"syntology":null},{"url":null,"slug":"grammar-aware-question-answering-on-quantum","title":"Grammar-aware sentence classification on quantum computers","date":"2020-12-07","arxiv_id":"2012.03756","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-ordinal-regression-forest-for-learning","title":"Meta Ordinal Regression Forest For Learning with Unsure Lung Nodules","date":"2020-12-07","arxiv_id":"2012.03480","repositories_listed":0,"syntology":null},{"url":null,"slug":"financial-document-causality-detection-shared","title":"Financial Document Causality Detection Shared Task (FinCausal 2020)","date":"2020-12-04","arxiv_id":"2012.02505","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-does-gradient-descent-with-logistic-loss","title":"When does gradient descent with logistic loss find interpolating two-layer networks?","date":"2020-12-04","arxiv_id":"2012.02409","repositories_listed":0,"syntology":null},{"url":null,"slug":"d-unet-a-dual-encoder-u-net-for-image","title":"D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization","date":"2020-12-03","arxiv_id":"2012.01821","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-fair-classifier-using-kernel-density","title":"A Fair Classifier Using Kernel Density Estimation","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-multilingual-and-monolingual","title":"Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-grammatical-error-detection-based-on","title":"Chinese Grammatical Error Detection Based on BERT Model","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"jct-at-semeval-2020-task-1-combined-semantic","title":"JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-knowledge-of-structure-a-neural","title":"Learning with Knowledge of Structure: A Neural Network-Based Approach for MIMO-OFDM Detection","date":"2020-12-01","arxiv_id":"2012.00711","repositories_listed":0,"syntology":null},{"url":null,"slug":"overview-of-the-fifth-social-media-mining-for","title":"Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-clickbait-strength-in-online","title":"Predicting Clickbait Strength in Online Social Media","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-financial-document-causality-detection-1","title":"The Financial Document Causality Detection Shared Task (FinCausal 2020)","date":"2020-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"binary-classification-counterbalancing-class","title":"Binary Classification: Counterbalancing Class Imbalance by Applying Regression Models in Combination with One-Sided Label Shifts","date":"2020-11-30","arxiv_id":"2011.14764","repositories_listed":0,"syntology":null},{"url":null,"slug":"fake-news-detection-in-social-media-using","title":"Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case","date":"2020-11-30","arxiv_id":"2012.07517","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-quantum-classical-classifier-based-on","title":"Hybrid quantum-classical classifier based on tensor network and variational quantum circuit","date":"2020-11-30","arxiv_id":"2011.14651","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-anatomically-informed-3d-cnn-for-brain","title":"An anatomically-informed 3D CNN for brain aneurysm classification with weak labels","date":"2020-11-27","arxiv_id":"2012.08645","repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-bias-of-deep-linear-networks-in-the","title":"Implicit bias of deep linear networks in the large learning rate phase","date":"2020-11-25","arxiv_id":"2011.12547","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-more-biologically-plausible-local-learning","title":"A More Biologically Plausible Local Learning Rule for ANNs","date":"2020-11-24","arxiv_id":"2011.12012","repositories_listed":0,"syntology":null},{"url":null,"slug":"screening-covid-19-cases-using-deep-neural","title":"Screening COVID-19 cases using Deep Neural Networks with X-ray images","date":"2020-11-24","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-multiple-kernel-learning","title":"Quantum Multiple Kernel Learning","date":"2020-11-19","arxiv_id":"2011.09694","repositories_listed":0,"syntology":null},{"url":null,"slug":"benign-overfitting-in-binary-classification","title":"Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization","date":"2020-11-18","arxiv_id":"2011.09148","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-network-approximation-and-estimation","title":"Neural network approximation and estimation of classifiers with classification boundary in a Barron class","date":"2020-11-18","arxiv_id":"2011.09363","repositories_listed":0,"syntology":null},{"url":null,"slug":"forecasting-probability-of-default-for","title":"Forecasting Probability of Default for Consumer Loan Management with Gaussian Mixture Models","date":"2020-11-16","arxiv_id":"2011.07906","repositories_listed":0,"syntology":null}],"record_sha256":"499757f3d806ce559b71e8d35ac1d2d4d5f2ab7aad1f3305124ab11627799204","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}