{"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/data-visualization/papers/2","list_of":"/task/data-visualization","task":"Data Visualization","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":4,"rows_per_page":100,"rows":[101,200],"of":335,"counts":{"archive_papers_tagged":335,"with_a_code_link":117,"where_syntology_ran_a_sample":16,"not_listed_spam_title":0,"listed":335,"listed_where_code_ran":16,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":12,"every_run_a_failure_of_syntologys_instrument":4,"listed_with_a_run_with_no_instrument_failure":12,"listed_every_run_a_failure_of_syntologys_instrument":4,"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/data-visualization","prev":"/task/data-visualization","next":"/task/data-visualization/papers/3","papers":[{"url":"/paper/learning-formation-of-physically-based-face","slug":"learning-formation-of-physically-based-face","title":"Learning Formation of Physically-Based Face Attributes","date":"2020-04-02","arxiv_id":"2004.03458","repositories_listed":1,"syntology":null},{"url":"/paper/iot-based-real-time-noise-mapping-system-for","slug":"iot-based-real-time-noise-mapping-system-for","title":"IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study","date":"2020-02-25","arxiv_id":"2002.11188","repositories_listed":1,"syntology":null},{"url":"/paper/ncvis-noise-contrastive-approach-for-scalable","slug":"ncvis-noise-contrastive-approach-for-scalable","title":"NCVis: Noise Contrastive Approach for Scalable Visualization","date":"2020-01-30","arxiv_id":"2001.11411","repositories_listed":1,"syntology":null},{"url":"/paper/twenty-years-of-network-science-a","slug":"twenty-years-of-network-science-a","title":"Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis","date":"2020-01-23","arxiv_id":"2001.09006","repositories_listed":1,"syntology":null},{"url":"/paper/multi-modal-neuroimaging-analysis-and","slug":"multi-modal-neuroimaging-analysis-and","title":"Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)","date":"2019-12-20","arxiv_id":"1912.10079","repositories_listed":1,"syntology":null},{"url":"/paper/self-organizing-nebulous-growths-for-robust","slug":"self-organizing-nebulous-growths-for-robust","title":"Self Organizing Nebulous Growths for Robust and Incremental Data Visualization","date":"2019-12-09","arxiv_id":"1912.04896","repositories_listed":1,"syntology":null},{"url":"/paper/capacity-preserving-mapping-for-high","slug":"capacity-preserving-mapping-for-high","title":"Capacity Preserving Mapping for High-dimensional Data Visualization","date":"2019-09-29","arxiv_id":"1909.13322","repositories_listed":1,"syntology":null},{"url":"/paper/two-decades-of-network-science-as-seen","slug":"two-decades-of-network-science-as-seen","title":"Two Decades of Network Science as seen through the co-authorship network of network scientists","date":"2019-08-22","arxiv_id":"1908.08478","repositories_listed":1,"syntology":null},{"url":"/paper/digivoice-voice-biomarker-featurization-and","slug":"digivoice-voice-biomarker-featurization-and","title":"DigiVoice: Voice Biomarker Featurization and Analysis Pipeline","date":"2019-06-17","arxiv_id":"1906.07222","repositories_listed":1,"syntology":null},{"url":"/paper/lumipath-towards-real-time-physically-based","slug":"lumipath-towards-real-time-physically-based","title":"LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices","date":"2019-03-09","arxiv_id":"1903.03837","repositories_listed":1,"syntology":null},{"url":"/paper/jmetalpy-a-python-framework-for-multi","slug":"jmetalpy-a-python-framework-for-multi","title":"jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics","date":"2019-03-07","arxiv_id":"1903.02915","repositories_listed":1,"syntology":null},{"url":"/paper/fault-location-in-power-distribution-systems","slug":"fault-location-in-power-distribution-systems","title":"Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks","date":"2018-12-22","arxiv_id":"1812.09464","repositories_listed":1,"syntology":null},{"url":"/paper/vizml-a-machine-learning-approach-to","slug":"vizml-a-machine-learning-approach-to","title":"VizML: A Machine Learning Approach to Visualization Recommendation","date":"2018-08-14","arxiv_id":"1808.04819","repositories_listed":1,"syntology":null},{"url":"/paper/vine-an-open-source-interactive-data","slug":"vine-an-open-source-interactive-data","title":"VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution","date":"2018-05-03","arxiv_id":"1805.01141","repositories_listed":1,"syntology":null},{"url":"/paper/doubly-stochastic-neighbor-embedding-on","slug":"doubly-stochastic-neighbor-embedding-on","title":"Doubly Stochastic Neighbor Embedding on Spheres","date":"2016-09-07","arxiv_id":"1609.01977","repositories_listed":1,"syntology":null},{"url":"/paper/how-to-evaluate-dimensionality-reduction","slug":"how-to-evaluate-dimensionality-reduction","title":"How to Evaluate Dimensionality Reduction? - Improving the Co-ranking Matrix","date":"2011-10-18","arxiv_id":"1110.3917","repositories_listed":1,"syntology":null},{"url":"/paper/principal-manifolds-and-nonlinear-dimension","slug":"principal-manifolds-and-nonlinear-dimension","title":"Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment","date":"2002-12-07","arxiv_id":"cs/0212008","repositories_listed":1,"syntology":null},{"url":null,"slug":"an-empirical-study-of-bugs-in-data","title":"An Empirical Study of Bugs in Data Visualization Libraries","date":"2025-06-18","arxiv_id":"2506.15084","repositories_listed":0,"syntology":null},{"url":null,"slug":"2506-10027","title":"Learning-based density-equalizing map","date":"2025-06-10","arxiv_id":"2506.10027","repositories_listed":0,"syntology":null},{"url":null,"slug":"chart-6-human-centered-evaluation-of-data","title":"CHART-6: Human-Centered Evaluation of Data Visualization Understanding in Vision-Language Models","date":"2025-05-22","arxiv_id":"2505.17202","repositories_listed":0,"syntology":null},{"url":null,"slug":"nomad-projection","title":"NOMAD Projection","date":"2025-05-21","arxiv_id":"2505.15511","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-of-data-driven-methods-for-inventory","title":"A Study of Data-driven Methods for Inventory Optimization","date":"2025-05-13","arxiv_id":"2505.08673","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-therapist-eliciting-domain-knowledge","title":"Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models","date":"2025-05-01","arxiv_id":"2505.00455","repositories_listed":0,"syntology":null},{"url":null,"slug":"ascribe-new-dimensions-to-scientific-data","title":"Ascribe New Dimensions to Scientific Data Visualization with VR","date":"2025-04-18","arxiv_id":"2504.13448","repositories_listed":0,"syntology":null},{"url":null,"slug":"see-or-recall-a-sanity-check-for-the-role-of","title":"See or Recall: A Sanity Check for the Role of Vision in Solving Visualization Question Answer Tasks with Multimodal LLMs","date":"2025-04-14","arxiv_id":"2504.09809","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-reviews-composition","title":"Machine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites","date":"2025-04-05","arxiv_id":"2504.04002","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-generative-models-can-flag","title":"Bayesian generative models can flag performance loss, bias, and out-of-distribution image content","date":"2025-03-21","arxiv_id":"2503.17477","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-high-dimensional-data-visualization","title":"Enhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding","date":"2025-03-18","arxiv_id":"2503.13954","repositories_listed":0,"syntology":null},{"url":null,"slug":"bizard-a-community-driven-platform-for","title":"Bizard: A Community-Driven Platform for Accelerating and Enhancing Biomedical Data Visualization","date":"2025-03-10","arxiv_id":"2503.06845","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-vaccinate-or-not-to-vaccinate-analyzing","title":"To Vaccinate or not to Vaccinate? Analyzing $\\mathbb{X}$ Power over the Pandemic","date":"2025-03-04","arxiv_id":"2503.02563","repositories_listed":0,"syntology":null},{"url":null,"slug":"merging-hazy-sets-with-m-schemes-a-geometric","title":"Merging Hazy Sets with m-Schemes: A Geometric Approach to Data Visualization","date":"2025-03-03","arxiv_id":"2503.01664","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-forest-autoencoders-for-guided","title":"Random Forest Autoencoders for Guided Representation Learning","date":"2025-02-18","arxiv_id":"2502.13257","repositories_listed":0,"syntology":null},{"url":null,"slug":"vispath-automated-visualization-code","title":"Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization","date":"2025-02-16","arxiv_id":"2502.11140","repositories_listed":0,"syntology":null},{"url":null,"slug":"plotgen-multi-agent-llm-based-scientific-data","title":"PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback","date":"2025-02-03","arxiv_id":"2502.00988","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-the-potential-a-novel-tool-for","title":"Unlocking the Potential: A Novel Tool for Assessing Untapped Micro-Pumped Hydro Energy Storage Systems in Michigan","date":"2025-01-20","arxiv_id":"2501.11246","repositories_listed":0,"syntology":null},{"url":null,"slug":"automating-date-format-detection-for-data","title":"Automating Date Format Detection for Data Visualization","date":"2025-01-10","arxiv_id":"2501.05640","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-t-sne-and-umap-for-distributed-data","title":"Federated t-SNE and UMAP for Distributed Data Visualization","date":"2024-12-18","arxiv_id":"2412.13495","repositories_listed":0,"syntology":null},{"url":null,"slug":"chain-of-programming-cop-empowering-large","title":"Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation","date":"2024-11-16","arxiv_id":"2411.10753","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-graphical-perception-in-data","title":"Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models","date":"2024-10-31","arxiv_id":"2411.00257","repositories_listed":0,"syntology":null},{"url":null,"slug":"alternatives-of-unsupervised-representations","title":"Alternatives of Unsupervised Representations of Variables on the Latent Space","date":"2024-10-26","arxiv_id":"2410.20172","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-alcohol-use-disorder-insights-from","title":"Assessing Alcohol Use Disorder: Insights from Lifestyle, Background, and Family History with Machine Learning Techniques","date":"2024-10-24","arxiv_id":"2410.18354","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-centric-evaluation-of-explainability-of","title":"User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study","date":"2024-10-21","arxiv_id":"2410.15952","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-aware-t-distributed-stochastic","title":"Uncertainty-aware t-distributed Stochastic Neighbor Embedding for Single-cell RNA-seq Data","date":"2024-10-01","arxiv_id":"2410.00473","repositories_listed":0,"syntology":null},{"url":null,"slug":"problem-oriented-automl-in-clustering","title":"Problem-oriented AutoML in Clustering","date":"2024-09-24","arxiv_id":"2409.16218","repositories_listed":0,"syntology":null},{"url":null,"slug":"opinion-mining-on-offshore-wind-energy-for","title":"Opinion Mining on Offshore Wind Energy for Environmental Engineering","date":"2024-09-22","arxiv_id":"2409.14292","repositories_listed":0,"syntology":null},{"url":null,"slug":"formative-study-for-ai-assisted-data","title":"Formative Study for AI-assisted Data Visualization","date":"2024-09-10","arxiv_id":"2409.06892","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-hierarchical-and-explainable","title":"Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging","date":"2024-08-31","arxiv_id":"2409.00565","repositories_listed":0,"syntology":null},{"url":null,"slug":"charteye-a-deep-learning-framework-for-chart","title":"ChartEye: A Deep Learning Framework for Chart Information Extraction","date":"2024-08-28","arxiv_id":"2408.16123","repositories_listed":0,"syntology":null},{"url":null,"slug":"macro-queries-an-exploration-into-guided","title":"Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts","date":"2024-08-22","arxiv_id":"2408.12726","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-formal-concept-analysis-for-data","title":"Exploiting Formal Concept Analysis for Data Modeling in Data Lakes","date":"2024-08-11","arxiv_id":"2408.13265","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-extent-of-similarities-in","title":"Exploring the extent of similarities in software failures across industries using LLMs","date":"2024-08-07","arxiv_id":"2408.03528","repositories_listed":0,"syntology":null},{"url":null,"slug":"out-of-core-dimensionality-reduction-for","title":"Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions","date":"2024-08-07","arxiv_id":"2408.04129","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-multidimensional-projection-quality","title":"Improving multidimensional projection quality with user-specific metrics and optimal scaling","date":"2024-07-23","arxiv_id":"2407.16328","repositories_listed":0,"syntology":null},{"url":null,"slug":"stugptviz-a-visual-analytics-approach-to","title":"StuGPTViz: A Visual Analytics Approach to Understand Student-ChatGPT Interactions","date":"2024-07-17","arxiv_id":"2407.12423","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-generative-geodesics","title":"(Deep) Generative Geodesics","date":"2024-07-15","arxiv_id":"2407.11244","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-specific-shorthand-for-generation","title":"Domain-Specific Shorthand for Generation Based on Context-Free Grammar","date":"2024-06-14","arxiv_id":"2406.10442","repositories_listed":0,"syntology":null},{"url":null,"slug":"inductive-global-and-local-manifold","title":"Inductive Global and Local Manifold Approximation and Projection","date":"2024-06-12","arxiv_id":"2406.08097","repositories_listed":0,"syntology":null},{"url":null,"slug":"political-leaning-inference-through","title":"Political Leaning Inference through Plurinational Scenarios","date":"2024-06-12","arxiv_id":"2406.07964","repositories_listed":0,"syntology":null},{"url":null,"slug":"noisy-data-visualization-using-functional","title":"Noisy Data Visualization using Functional Data Analysis","date":"2024-06-05","arxiv_id":"2406.03396","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-business-and-media-insights-with","title":"Harnessing Business and Media Insights with Large Language Models","date":"2024-06-02","arxiv_id":"2406.06559","repositories_listed":0,"syntology":null},{"url":null,"slug":"are-large-vision-language-models-up-to-the","title":"Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs","date":"2024-06-01","arxiv_id":"2406.00257","repositories_listed":0,"syntology":null},{"url":null,"slug":"visualization-of-board-of-director","title":"Visualization of Board of Director Connections for Analysis in Socially Responsible Investing","date":"2024-05-30","arxiv_id":"2405.20522","repositories_listed":0,"syntology":null},{"url":null,"slug":"kernel-spectral-joint-embeddings-for-high","title":"Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators","date":"2024-05-20","arxiv_id":"2405.12317","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-integrate-cloud-service-data-analytic","title":"How to integrate cloud service, data analytic and machine learning technique to reduce cyber risks associated with the modern cloud based infrastructure","date":"2024-05-19","arxiv_id":"2405.11601","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-in-data-visualization-education-a","title":"ChatGPT in Data Visualization Education: A Student Perspective","date":"2024-05-01","arxiv_id":"2405.00748","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt4vis-prompting-large-language-models","title":"Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization","date":"2024-01-29","arxiv_id":"2402.07909","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-theoretic-foundations-for-1","title":"Underspecified Human Decision Experiments Considered Harmful","date":"2024-01-25","arxiv_id":"2401.15106","repositories_listed":0,"syntology":null},{"url":null,"slug":"scilab-rl-a-software-framework-for-efficient","title":"Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research","date":"2024-01-25","arxiv_id":"2401.14488","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-neural-representation-of-volumetric","title":"Efficient Neural Representation of Volumetric Data using Coordinate-Based Networks","date":"2024-01-16","arxiv_id":"2401.08840","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyses-and-concerns-in-precision-medicine-a","title":"Analyses and Concerns in Precision Medicine: A Statistical Perspective","date":"2024-01-12","arxiv_id":"2401.06899","repositories_listed":0,"syntology":null},{"url":null,"slug":"playmolecule-viewer-a-toolkit-for-the","title":"PlayMolecule Viewer: a toolkit for the visualization of molecules and other data","date":"2023-12-22","arxiv_id":"2312.14732","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-financial-data-visualization-for","title":"Enhancing Financial Data Visualization for Investment Decision-Making","date":"2023-12-09","arxiv_id":"2403.18822","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-kernel-t-distributed-stochastic","title":"Quantum Kernel t-Distributed Stochastic Neighbor Embedding","date":"2023-12-01","arxiv_id":"2312.00352","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quasi-polynomial-time-algorithm-for-multi","title":"Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams","date":"2023-11-29","arxiv_id":"2311.17840","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modal-search-and-exploration-of-greek","title":"Cross-Modal Search and Exploration of Greek Painted Pottery","date":"2023-11-17","arxiv_id":"2311.10567","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-and-analyzing-wildland-fire-data","title":"Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques","date":"2023-11-09","arxiv_id":"2311.05128","repositories_listed":0,"syntology":null},{"url":null,"slug":"discretizing-numerical-attributes-an-analysis","title":"Discretizing Numerical Attributes: An Analysis of Human Perceptions","date":"2023-11-06","arxiv_id":"2311.03278","repositories_listed":0,"syntology":null},{"url":null,"slug":"distnet2d-leveraging-long-range-temporal","title":"DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking","date":"2023-10-30","arxiv_id":"2310.19641","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-interfaces-for-tabular-data","title":"Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey","date":"2023-10-27","arxiv_id":"2310.17894","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-models-for-data","title":"Natural Language Models for Data Visualization Utilizing nvBench Dataset","date":"2023-10-02","arxiv_id":"2310.00832","repositories_listed":0,"syntology":null},{"url":null,"slug":"categorizing-flight-paths-using-data","title":"Categorizing Flight Paths using Data Visualization and Clustering Methodologies","date":"2023-10-01","arxiv_id":"2310.00773","repositories_listed":0,"syntology":null},{"url":null,"slug":"matrix-factorization-in-tropical-and-mixed","title":"Matrix Factorization in Tropical and Mixed Tropical-Linear Algebras","date":"2023-09-25","arxiv_id":"2309.13914","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-data-visualization-generation-from","title":"Automatic Data Visualization Generation from Chinese Natural Language Questions","date":"2023-09-14","arxiv_id":"2309.07650","repositories_listed":0,"syntology":null},{"url":null,"slug":"physiozoo-the-open-digital-physiological","title":"PhysioZoo: The Open Digital Physiological Biomarkers Resource","date":"2023-09-07","arxiv_id":"2309.04498","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-the-dashboard-provenance","title":"Modeling the Dashboard Provenance","date":"2023-08-13","arxiv_id":"2308.06788","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-enhanced-data-processing-and-discovery","title":"AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping","date":"2023-08-02","arxiv_id":"2308.02664","repositories_listed":0,"syntology":null},{"url":null,"slug":"marrying-dialogue-systems-with-data","title":"Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversations","date":"2023-07-29","arxiv_id":"2307.16013","repositories_listed":0,"syntology":null},{"url":null,"slug":"tablegpt-towards-unifying-tables-nature","title":"TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT","date":"2023-07-17","arxiv_id":"2307.08674","repositories_listed":0,"syntology":null},{"url":null,"slug":"g-invariant-diffusion-maps","title":"G-invariant diffusion maps","date":"2023-06-12","arxiv_id":"2306.07350","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-high-performance-exploratory-data","title":"Towards High-Performance Exploratory Data Analysis (EDA) Via Stable Equilibrium Point","date":"2023-06-07","arxiv_id":"2306.04425","repositories_listed":0,"syntology":null},{"url":null,"slug":"lumos-in-the-night-sky-ai-enabled-visual-tool","title":"Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns","date":"2023-06-05","arxiv_id":"2306.03195","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-as-your-personal-data-scientist","title":"ChatGPT as your Personal Data Scientist","date":"2023-05-23","arxiv_id":"2305.13657","repositories_listed":0,"syntology":null},{"url":null,"slug":"photon-field-networks-for-dynamic-real-time","title":"Photon Field Networks for Dynamic Real-Time Volumetric Global Illumination","date":"2023-04-14","arxiv_id":"2304.07338","repositories_listed":0,"syntology":null},{"url":null,"slug":"redwine-a-clinical-datamart-with-text","title":"ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research","date":"2023-04-12","arxiv_id":"2304.05929","repositories_listed":0,"syntology":null},{"url":null,"slug":"ask-and-you-shall-receive-a-graph-drawing","title":"Ask and You Shall Receive (a Graph Drawing): Testing ChatGPT's Potential to Apply Graph Layout Algorithms","date":"2023-03-03","arxiv_id":"2303.08819","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-labels-multi-agent-deep","title":"Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement","date":"2023-03-02","arxiv_id":"2303.01388","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-generative-neural-embeddings-for-high","title":"Deep Generative Neural Embeddings for High Dimensional Data Visualization","date":"2023-01-25","arxiv_id":"2302.10801","repositories_listed":0,"syntology":null},{"url":null,"slug":"xnli-explaining-and-diagnosing-nli-based","title":"XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis","date":"2023-01-25","arxiv_id":"2301.10385","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-sample-test-based-on-self-organizing-maps","title":"Two-sample test based on Self-Organizing Maps","date":"2022-12-17","arxiv_id":"2212.08960","repositories_listed":0,"syntology":null},{"url":null,"slug":"compacter-networks-as-a-defensive-mechanism","title":"Compacter networks as a defensive mechanism: How firms clustered during 2015 Financial Crisis in China","date":"2022-12-03","arxiv_id":"2212.01557","repositories_listed":0,"syntology":null}],"record_sha256":"d2925d7322d249360880a598c25a2da82d3fe337ca9567dcff568bc8279f019c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}