{"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/erp/papers/2","list_of":"/task/erp","task":"ERP","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":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,152],"of":152,"counts":{"archive_papers_tagged":152,"with_a_code_link":30,"where_syntology_ran_a_sample":4,"not_listed_spam_title":0,"listed":152,"listed_where_code_ran":4,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":4,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":4,"listed_every_run_a_failure_of_syntologys_instrument":0,"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/erp","prev":"/task/erp","next":null,"papers":[{"url":null,"slug":"distortion-aware-self-supervised-360deg-depth","title":"Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image","date":"2022-04-03","arxiv_id":"2204.01027","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-process-aware-information-system","title":"Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations","date":"2022-03-24","arxiv_id":"2203.12969","repositories_listed":0,"syntology":null},{"url":null,"slug":"distortion-aware-loop-filtering-of-intra-360","title":"Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection","date":"2022-02-20","arxiv_id":"2202.09802","repositories_listed":0,"syntology":null},{"url":null,"slug":"field-of-view-iou-for-object-detection-in","title":"Field-of-View IoU for Object Detection in 360° Images","date":"2022-02-07","arxiv_id":"2202.03176","repositories_listed":0,"syntology":null},{"url":null,"slug":"spheresr-360deg-image-super-resolution-with","title":"SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spheresr","title":"SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation","date":"2021-12-13","arxiv_id":"2112.06536","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-fixed-b-limiting-distribution-and-the-erp","title":"The Fixed-b Limiting Distribution and the ERP of HAR Tests Under Nonstationarity","date":"2021-11-29","arxiv_id":"2111.14590","repositories_listed":0,"syntology":null},{"url":null,"slug":"symptoms-of-depersonalisation-derealisation","title":"Symptoms of depersonalisation/derealisation disorder as measured by brain electrical activity: A systematic review","date":"2021-11-11","arxiv_id":"2111.06126","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-the-classification-of-error-related","title":"Towards the Classification of Error-Related Potentials using Riemannian Geometry","date":"2021-09-21","arxiv_id":"2109.13085","repositories_listed":0,"syntology":null},{"url":null,"slug":"will-bots-take-over-the-supply-chain","title":"Will bots take over the supply chain? Revisiting Agent-based supply chain automation","date":"2021-09-03","arxiv_id":"2109.01703","repositories_listed":0,"syntology":null},{"url":null,"slug":"bu-tong-lei-xing-zao-sheng-huan-jing-xia-yan","title":"不同类型噪声环境下言语理解的脑机制研究(Brain Mechanism of Speech Comprehension in Different Noise Conditions)","date":"2021-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-equal-risk-pricing-of-financial-1","title":"Deep equal risk pricing of financial derivatives with non-translation invariant risk measures","date":"2021-07-23","arxiv_id":"2107.11340","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieving-event-related-human-brain-dynamics","title":"Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading","date":"2021-03-29","arxiv_id":"2103.15500","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-introducing-automatic-test-case-generation","title":"On Introducing Automatic Test Case Generation in Practice: A Success Story and Lessons Learned","date":"2021-02-28","arxiv_id":"2103.00465","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-equal-risk-pricing-of-financial","title":"Deep Equal Risk Pricing of Financial Derivatives with Multiple Hedging Instruments","date":"2021-02-25","arxiv_id":"2102.12694","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-reference-quality-assessment-for-360","title":"No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness","date":"2021-02-22","arxiv_id":"2102.11393","repositories_listed":0,"syntology":null},{"url":null,"slug":"consequence-of-enterprise-resource-planning","title":"Consequence of Enterprise Resource Planning in the Environs of Pedagogical Organization.","date":"2021-01-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"consequence-of-enterprise-resource-planning-1","title":"Consequence of Enterprise Resource Planning in the Environs of Pedagogical Organization.","date":"2021-01-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"leaking-sensitive-financial-accounting-data","title":"Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks","date":"2020-12-13","arxiv_id":"2012.07110","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-p300-speller-performance-by-means","title":"Improving P300 Speller performance by means of optimization and machine learning","date":"2020-07-13","arxiv_id":"2007.06411","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tutorial-on-graph-theory-for-brain-signal","title":"A Tutorial on Graph Theory for Brain Signal Analysis","date":"2020-07-11","arxiv_id":"2007.05800","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evoked-potential-guided-deep-learning","title":"An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification","date":"2020-06-27","arxiv_id":"2006.15357","repositories_listed":0,"syntology":null},{"url":null,"slug":"locked-in-syndrome-machine-learning","title":"Locked in Syndrome Machine Learning Classification using Sentence Comprehension EEG Data","date":"2020-06-17","arxiv_id":"2006.12336","repositories_listed":0,"syntology":null},{"url":null,"slug":"cuhk-at-semeval-2020-task-4-commonsense","title":"CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning","date":"2020-06-12","arxiv_id":"2006.09161","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconstructing-erp-signals-using-generative","title":"Reconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface","date":"2020-05-18","arxiv_id":"2005.08430","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-soft-and-flexible-fusion-of-eeg-and","title":"Early soft and flexible fusion of EEG and fMRI via tensor decompositions","date":"2020-05-12","arxiv_id":"2005.07134","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-based-control-of-car-infotainment","title":"Brain-based control of car infotainment","date":"2020-04-24","arxiv_id":"2004.11978","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-the-p300-detection-accuracy","title":"Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios","date":"2019-12-24","arxiv_id":"1912.11371","repositories_listed":0,"syntology":null},{"url":null,"slug":"category-learning-can-alter-perception-and","title":"Category learning can alter perception and its neural correlates","date":"2019-12-10","arxiv_id":"1805.04619","repositories_listed":0,"syntology":null},{"url":null,"slug":"pricing-contingent-claims-with-short-selling","title":"Valuation of contingent claims with short selling bans under an equal-risk pricing framework","date":"2019-10-11","arxiv_id":"1910.04960","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-learning-of-deepfakes-in","title":"Adversarial Learning of Deepfakes in Accounting","date":"2019-10-09","arxiv_id":"1910.03810","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-assessment-of-stereoscopic-360-degree","title":"Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports","date":"2019-08-27","arxiv_id":"1908.10079","repositories_listed":0,"syntology":null},{"url":null,"slug":"reprojection-r-cnn-a-fast-and-accurate-object","title":"Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images","date":"2019-07-27","arxiv_id":"1907.11830","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-wearable-interface-for-food-quality","title":"Towards a Wearable Interface for Food Quality Grading through ERP Analysis","date":"2019-05-28","arxiv_id":"1905.11633","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-joint-feature-extraction-for-p300","title":"Universal Joint Feature Extraction for P300 EEG Classification using Multi-task Autoencoder","date":"2019-04-30","arxiv_id":"1808.06541","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-language-elicited-eeg-data-by","title":"Understanding language-elicited EEG data by predicting it from a fine-tuned language model","date":"2019-04-02","arxiv_id":"1904.01548","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-and-return-models-for-equity-markets-and","title":"Risk and Return models for Equity Markets and Implied Equity Risk Premium","date":"2019-03-18","arxiv_id":"1903.07737","repositories_listed":0,"syntology":null},{"url":null,"slug":"features-and-machine-learning-for-correlating","title":"Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia","date":"2018-12-27","arxiv_id":"1812.10622","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-extraction-and-lexical-analysis-from","title":"Content Extraction and Lexical Analysis from Customer-Agent Interactions","date":"2018-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-time-series-generators","title":"High Dimensional Time Series Generators","date":"2018-04-17","arxiv_id":"1804.06352","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-trial-p300-classification-using-pca","title":"Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks","date":"2017-12-06","arxiv_id":"1712.01977","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-eeg-based-image-annotation-system","title":"An EEG-based Image Annotation System","date":"2017-11-07","arxiv_id":"1711.02383","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-and-offline-domain-adaptation-for","title":"Online and Offline Domain Adaptation for Reducing BCI Calibration Effort","date":"2017-02-09","arxiv_id":"1702.02897","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-label-proportions-in-brain","title":"Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees","date":"2017-01-25","arxiv_id":"1701.07213","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-motion-onset-brain-computer-interface","title":"Visual Motion Onset Brain-computer Interface","date":"2016-09-30","arxiv_id":"1607.02695","repositories_listed":0,"syntology":null},{"url":null,"slug":"kullback-leibler-penalized-sparse","title":"Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification","date":"2016-08-24","arxiv_id":"1608.06863","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-and-tracking-the-real-time-hot","title":"Detecting and Tracking The Real-time Hot Topics: A Study on Computational Neuroscience","date":"2016-08-19","arxiv_id":"1608.05517","repositories_listed":0,"syntology":null},{"url":null,"slug":"wavelet-algorithm-for-the-identification-of","title":"Wavelet algorithm for the identification of P300 ERP component","date":"2016-07-26","arxiv_id":"1611.00033","repositories_listed":0,"syntology":null},{"url":null,"slug":"inter-stimulus-interval-study-for-the-tactile","title":"Inter-stimulus Interval Study for the Tactile Point-pressure Brain-computer Interface","date":"2015-06-15","arxiv_id":"1506.04458","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-step-input-spatial-auditory-bci-for","title":"Two-step Input Spatial Auditory BCI for Japanese Kana Characters","date":"2015-03-10","arxiv_id":"1503.02903","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-analytics-in-mom-applications","title":"Context-Aware Analytics in MOM Applications","date":"2014-12-26","arxiv_id":"1412.7968","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixed-norm-regularization-for-brain-decoding","title":"Mixed-norm Regularization for Brain Decoding","date":"2014-03-14","arxiv_id":"1403.3628","repositories_listed":0,"syntology":null}],"record_sha256":"ee0e09c7b55b9aa6d116825e555ba7e53649dd786e529d0a1b649aa9b5f1c5cd","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}