{"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/sensitivity/papers/6","list_of":"/task/sensitivity","task":"Sensitivity","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":6,"pages_in_order":21,"rows_per_page":100,"rows":[501,600],"of":2016,"counts":{"archive_papers_tagged":2016,"with_a_code_link":505,"where_syntology_ran_a_sample":100,"not_listed_spam_title":0,"listed":2016,"listed_where_code_ran":100,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":77,"every_run_a_failure_of_syntologys_instrument":23,"listed_with_a_run_with_no_instrument_failure":77,"listed_every_run_a_failure_of_syntologys_instrument":23,"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/sensitivity","prev":"/task/sensitivity/papers/5","next":"/task/sensitivity/papers/7","papers":[{"url":"/paper/computer-aided-detection-of-oral-lesions-on","slug":"computer-aided-detection-of-oral-lesions-on","title":"Computer Aided Detection of Oral Lesions on CT Images","date":"2016-11-29","arxiv_id":"1611.09769","repositories_listed":1,"syntology":null},{"url":"/paper/referential-uncertainty-and-word-learning-in","slug":"referential-uncertainty-and-word-learning-in","title":"Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces","date":"2016-09-30","arxiv_id":"1609.09580","repositories_listed":1,"syntology":null},{"url":"/paper/learning-robust-representations-of-text","slug":"learning-robust-representations-of-text","title":"Learning Robust Representations of Text","date":"2016-09-20","arxiv_id":"1609.06082","repositories_listed":1,"syntology":null},{"url":"/paper/learning-robust-features-using-deep-learning","slug":"learning-robust-features-using-deep-learning","title":"Learning Robust Features using Deep Learning for Automatic Seizure Detection","date":"2016-07-31","arxiv_id":"1608.00220","repositories_listed":1,"syntology":null},{"url":"/paper/lensed-cmb-simulation-and-parameter","slug":"lensed-cmb-simulation-and-parameter","title":"Lensed CMB simulation and parameter estimation","date":"2005-02-22","arxiv_id":"astro-ph/0502469","repositories_listed":1,"syntology":null},{"url":null,"slug":"a-framework-for-waterfall-pricing-using","title":"A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling","date":"2025-07-17","arxiv_id":"2507.13324","repositories_listed":0,"syntology":null},{"url":null,"slug":"ganet-seg-adversarial-learning-for-brain","title":"GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models","date":"2025-06-26","arxiv_id":"2506.21245","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-moderately-input-sensitive-functions","title":"Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding","date":"2025-06-25","arxiv_id":"2506.20305","repositories_listed":0,"syntology":null},{"url":null,"slug":"noise-tolerant-hybrid-approach-for-data","title":"Noise-Tolerant Hybrid Approach for Data-Driven Predictive Control","date":"2025-06-25","arxiv_id":"2506.20780","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-readiness-to-engage-in","title":"Predicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar","date":"2025-06-25","arxiv_id":"2506.20805","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-biosecurity-in-tamper-resistant","title":"Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent","date":"2025-06-23","arxiv_id":"2506.19086","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulation-based-sensitivity-analysis-in","title":"Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition with Individualized Interventions","date":"2025-06-23","arxiv_id":"2506.19010","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-input-admittance-of-a-universal-power","title":"On the input admittance of a universal power synchronization controller with droop controllers","date":"2025-06-20","arxiv_id":"2506.17044","repositories_listed":0,"syntology":null},{"url":null,"slug":"proportional-sensitivity-in-generative","title":"Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network","date":"2025-06-20","arxiv_id":"2506.17165","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-evaluating-code-llm-benchmarks-under","title":"Re-Evaluating Code LLM Benchmarks Under Semantic Mutation","date":"2025-06-20","arxiv_id":"2506.17369","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-does-online-shopping-affect-offline-price","title":"How does online shopping affect offline price sensitivity?","date":"2025-06-18","arxiv_id":"2506.15103","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-transmission-dynamics-of","title":"Modeling Transmission Dynamics of Tuberculosis: Parameter Estimation and Sensitivity Analysis Using Real-World Data","date":"2025-06-18","arxiv_id":"2506.19869","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-imitation-learning-for-contact","title":"A Survey on Imitation Learning for Contact-Rich Tasks in Robotics","date":"2025-06-16","arxiv_id":"2506.13498","repositories_listed":0,"syntology":null},{"url":null,"slug":"effect-decomposition-of-functional-output","title":"Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes","date":"2025-06-15","arxiv_id":"2506.12701","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-sensitivity-parameters-in","title":"Evaluating Sensitivity Parameters in Smartphone-Based Gaze Estimation: A Comparative Study of Appearance-Based and Infrared Eye Trackers","date":"2025-06-13","arxiv_id":"2506.11932","repositories_listed":0,"syntology":null},{"url":null,"slug":"2506-10235","title":"LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation","date":"2025-06-11","arxiv_id":"2506.10235","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-efficiency-of-dmas-vs-conventional","title":"Energy efficiency of DMAs vs. conventional MIMO: a sensitivity analysis","date":"2025-06-10","arxiv_id":"2506.09181","repositories_listed":0,"syntology":null},{"url":null,"slug":"export-proceeds-repatriation-policies-a","title":"Export proceeds repatriation policies: A shield against exchange rate volatility in emerging markets?","date":"2025-06-10","arxiv_id":"2506.09168","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-the-who-s-90-70-90-strategy-on-hpv","title":"Impact of the WHO's 90-70-90 Strategy on HPV-Related Cervical Cancer Control: A Mathematical Model Evaluation in China","date":"2025-06-06","arxiv_id":"2506.06405","repositories_listed":0,"syntology":null},{"url":null,"slug":"implicit-neural-representation-based-mri","title":"Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints","date":"2025-06-06","arxiv_id":"2506.06043","repositories_listed":0,"syntology":null},{"url":null,"slug":"just-a-scratch-enhancing-llm-capabilities-for","title":"Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation","date":"2025-06-05","arxiv_id":"2506.05073","repositories_listed":0,"syntology":null},{"url":null,"slug":"selective-matching-losses-not-all-scores-are","title":"Selective Matching Losses -- Not All Scores Are Created Equal","date":"2025-06-04","arxiv_id":"2506.04446","repositories_listed":0,"syntology":null},{"url":null,"slug":"pattern-formation-within-phenotype-structured","title":"Pattern formation within phenotype-structured chemotactic populations","date":"2025-06-03","arxiv_id":"2506.03389","repositories_listed":0,"syntology":null},{"url":null,"slug":"torsion-in-persistent-homology-and-neural","title":"Torsion in Persistent Homology and Neural Networks","date":"2025-06-03","arxiv_id":"2506.03049","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensitivity-aware-density-estimation-in","title":"Sensitivity-Aware Density Estimation in Multiple Dimensions","date":"2025-06-02","arxiv_id":"2506.02323","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastically-dominant-peer-prediction","title":"Stochastically Dominant Peer Prediction","date":"2025-06-02","arxiv_id":"2506.02259","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-sensitivity-analysis-method-for-agent","title":"A novel sensitivity analysis method for agent-based models stratifies in-silico tumor spheroid simulations","date":"2025-05-30","arxiv_id":"2506.00168","repositories_listed":0,"syntology":null},{"url":null,"slug":"lightsam-parameter-agnostic-sharpness-aware","title":"LightSAM: Parameter-Agnostic Sharpness-Aware Minimization","date":"2025-05-30","arxiv_id":"2505.24399","repositories_listed":0,"syntology":null},{"url":null,"slug":"refining-platelet-purification-methods","title":"Refining Platelet Purification Methods: Enhancing Proteomics for Clinical Applications","date":"2025-05-30","arxiv_id":"2505.24394","repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-association-biases-in-llm-moderation","title":"Probing Association Biases in LLM Moderation Over-Sensitivity","date":"2025-05-29","arxiv_id":"2505.23914","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensitivity-of-dc-network-representation-for","title":"Sensitivity of DC Network Representation for GIC Analysis","date":"2025-05-29","arxiv_id":"2505.23016","repositories_listed":0,"syntology":null},{"url":null,"slug":"moment-expansions-of-the-energy-distance","title":"Moment Expansions of the Energy Distance","date":"2025-05-27","arxiv_id":"2505.20647","repositories_listed":0,"syntology":null},{"url":null,"slug":"prostate-cancer-screening-with-artificial","title":"Prostate Cancer Screening with Artificial Intelligence-Enhanced Micro-Ultrasound: A Comparative Study with Traditional Methods","date":"2025-05-27","arxiv_id":"2505.21355","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-role-of-ai-in-early-detection-of-life","title":"The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective","date":"2025-05-27","arxiv_id":"2505.20810","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-you-read-isn-t-what-you-hear-linguistic","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","date":"2025-05-23","arxiv_id":"2505.17513","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-expressive-japanese-character","title":"Benchmarking Expressive Japanese Character Text-to-Speech with VITS and Style-BERT-VITS2","date":"2025-05-22","arxiv_id":"2505.17320","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensitivity-of-ecg-qrs-complexes-to-his","title":"Sensitivity of ECG QRS Complexes to His-Purkinje Structure in Computational Heart Models","date":"2025-05-22","arxiv_id":"2505.16696","repositories_listed":0,"syntology":null},{"url":null,"slug":"cp-llm-context-and-pixel-aware-large-language","title":"CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment","date":"2025-05-21","arxiv_id":"2505.16025","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-conditional-transport-maps","title":"Neural Conditional Transport Maps","date":"2025-05-21","arxiv_id":"2505.15808","repositories_listed":0,"syntology":null},{"url":null,"slug":"set-llm-a-permutation-invariant-llm","title":"Set-LLM: A Permutation-Invariant LLM","date":"2025-05-21","arxiv_id":"2505.15433","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-of-railway-silk-road-as-a","title":"Development of Railway Silk Road as a Platform for Promoting Georgias Economic Growth","date":"2025-05-20","arxiv_id":"2505.14761","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-mixed-precision-for-optimizing","title":"Automatic mixed precision for optimizing gained time with constrained loss mean-squared-error based on model partition to sequential sub-graphs","date":"2025-05-19","arxiv_id":"2505.13060","repositories_listed":0,"syntology":null},{"url":null,"slug":"computer-vision-models-show-human-like","title":"Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts","date":"2025-05-19","arxiv_id":"2505.13281","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-learning-of-halfspaces-under-log","title":"Robust learning of halfspaces under log-concave marginals","date":"2025-05-19","arxiv_id":"2505.13708","repositories_listed":0,"syntology":null},{"url":null,"slug":"sense-and-sensitivity-examining-the-influence","title":"Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Reasoning","date":"2025-05-19","arxiv_id":"2505.13353","repositories_listed":0,"syntology":null},{"url":null,"slug":"szcore-as-a-benchmark-report-from-the-seizure","title":"SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference","date":"2025-05-19","arxiv_id":"2505.18191","repositories_listed":0,"syntology":null},{"url":null,"slug":"private-statistical-estimation-via-truncation","title":"Private Statistical Estimation via Truncation","date":"2025-05-18","arxiv_id":"2505.12541","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-urban-critical-green-space","title":"Optimizing Urban Critical Green Space Development Using Machine Learning","date":"2025-05-14","arxiv_id":"2505.09175","repositories_listed":0,"syntology":null},{"url":null,"slug":"spat-sensitivity-based-multihead-attention","title":"SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models","date":"2025-05-13","arxiv_id":"2505.08768","repositories_listed":0,"syntology":null},{"url":null,"slug":"depth-sensitive-soft-suppression-with-rgb-d","title":"Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation","date":"2025-05-11","arxiv_id":"2505.07050","repositories_listed":0,"syntology":null},{"url":null,"slug":"tokenprober-jailbreaking-text-to-image-models","title":"TokenProber: Jailbreaking Text-to-image Models via Fine-grained Word Impact Analysis","date":"2025-05-11","arxiv_id":"2505.08804","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-brain-mri-classification-for-alzheimer","title":"3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation","date":"2025-05-07","arxiv_id":"2505.04097","repositories_listed":0,"syntology":null},{"url":null,"slug":"attonsecond-streaking-phase-retrieval-via","title":"Attonsecond Streaking Phase Retrieval Via Deep Learning Methods","date":"2025-05-06","arxiv_id":"2505.06275","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentially-private-densest-k-subgraph","title":"Differentially Private Densest-$k$-Subgraph","date":"2025-05-06","arxiv_id":"2505.03858","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpretable-graph-based-models-on","title":"Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking","date":"2025-05-03","arxiv_id":"2505.01696","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-and-generalizable-gerchberg","title":"Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework","date":"2025-04-30","arxiv_id":"2505.00220","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-axiomatic-approach-to-comparing","title":"An Axiomatic Approach to Comparing Sensitivity Parameters","date":"2025-04-29","arxiv_id":"2504.21106","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-gravity-a-field-theoretic-model","title":"Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models","date":"2025-04-29","arxiv_id":"2504.20951","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-declarative-risk-budgeting-portfolios","title":"Deep Declarative Risk Budgeting Portfolios","date":"2025-04-28","arxiv_id":"2504.19980","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-driven-neural-compensation-for","title":"Physics-Driven Neural Compensation For Electrical Impedance Tomography","date":"2025-04-25","arxiv_id":"2504.18067","repositories_listed":0,"syntology":null},{"url":null,"slug":"behavior-of-prediction-performance-metrics","title":"Behavior of prediction performance metrics with rare events","date":"2025-04-22","arxiv_id":"2504.16185","repositories_listed":0,"syntology":null},{"url":null,"slug":"application-of-sensitivity-analysis-methods","title":"Application of Sensitivity Analysis Methods for Studying Neural Network Models","date":"2025-04-21","arxiv_id":"2504.15100","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-data-driven-topology-design","title":"Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization","date":"2025-04-21","arxiv_id":"2504.14790","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-llms-on-chinese-topic","title":"Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)","date":"2025-04-21","arxiv_id":"2504.14969","repositories_listed":0,"syntology":null},{"url":null,"slug":"finite-population-identification-and-design","title":"Finite Population Identification and Design-Based Sensitivity Analysis","date":"2025-04-19","arxiv_id":"2504.14127","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-sensitivity-evaluation-framework-for","title":"LLM Sensitivity Evaluation Framework for Clinical Diagnosis","date":"2025-04-18","arxiv_id":"2504.13475","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensitivity-analysis-enlightens-effects-of","title":"Sensitivity analysis enlightens effects of connectivity in a Neural Mass Model under Control-Target mode","date":"2025-04-18","arxiv_id":"2504.13728","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-capital-structure-for-life-insurance","title":"Optimal Capital Structure for Life Insurance Companies Offering Surplus Participation","date":"2025-04-17","arxiv_id":"2504.12851","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-bvd-re-emergence-in-irish-cattle","title":"Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms","date":"2025-04-17","arxiv_id":"2504.13116","repositories_listed":0,"syntology":null},{"url":null,"slug":"selective-demonstration-retrieval-for","title":"Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection","date":"2025-04-16","arxiv_id":"2504.12082","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-dimensionality-reduction-for-greeks","title":"Effective dimensionality reduction for Greeks computation using Randomized QMC","date":"2025-04-15","arxiv_id":"2504.11576","repositories_listed":0,"syntology":null},{"url":null,"slug":"sensitivity-analysis-of-state-space-models","title":"Sensitivity Analysis of State Space Models for Scrap Composition Estimation in EAF and BOF","date":"2025-04-15","arxiv_id":"2504.11319","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-3d-human-pose-estimation-models","title":"Benchmarking 3D Human Pose Estimation Models Under Occlusions","date":"2025-04-14","arxiv_id":"2504.10350","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lightweight-u-net-model-for-accurate-skin","title":"A Lightweight U-Net Model for Accurate Skin Lesion Segmentation","date":"2025-04-12","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"artifact-detection-and-localization-in-single","title":"Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms","date":"2025-04-11","arxiv_id":"2504.08469","repositories_listed":0,"syntology":null},{"url":null,"slug":"faireval-evaluating-fairness-in-llm-based","title":"FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness","date":"2025-04-10","arxiv_id":"2504.07801","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-passivity-sensitivity-methodology","title":"Generalized Passivity Sensitivity Methodology for Small-Signal Stability Analysis","date":"2025-04-10","arxiv_id":"2504.07788","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-phase-analysis-of-blood-culture","title":"A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation","date":"2025-04-09","arxiv_id":"2504.07278","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-tools-generative-ai-as-epistemic","title":"Beyond Tools: Generative AI as Epistemic Infrastructure in Education","date":"2025-04-09","arxiv_id":"2504.06928","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-portfolio-optimization-principles-and","title":"Causal Portfolio Optimization: Principles and Sensitivity-Based Solutions","date":"2025-04-08","arxiv_id":"2504.05743","repositories_listed":0,"syntology":null},{"url":null,"slug":"extended-sensitivity-aware-reactive-power","title":"Extended Sensitivity-Aware Reactive Power Dispatch Algorithm for Smart Inverters with Multiple Control Modes","date":"2025-04-07","arxiv_id":"2504.05545","repositories_listed":0,"syntology":null},{"url":null,"slug":"universal-lymph-node-detection-in","title":"Universal Lymph Node Detection in Multiparametric MRI with Selective Augmentation","date":"2025-04-07","arxiv_id":"2504.05196","repositories_listed":0,"syntology":null},{"url":null,"slug":"batch-bayesian-optimization-for-high","title":"Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects","date":"2025-04-04","arxiv_id":"2504.03943","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-detection-of-diabetes-through-transfer","title":"Early detection of diabetes through transfer learning-based eye (vision) screening and improvement of machine learning model performance and advanced parameter setting algorithms","date":"2025-04-04","arxiv_id":"2504.03439","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathematical-modeling-of-soil-transmitted","title":"Mathematical Modeling of Soil-Transmitted Helminth Infection: Human-Animal Dynamics with Environmental Reservoirs","date":"2025-04-04","arxiv_id":"2504.03212","repositories_listed":0,"syntology":null},{"url":null,"slug":"pupillary-reactions-depend-on-disgust","title":"Pupillary reactions depend on disgust sensitivity in conceptual pavlovian disgust conditioning","date":"2025-03-26","arxiv_id":"2503.20601","repositories_listed":0,"syntology":null},{"url":null,"slug":"distinct-social-linguistic-processing-between","title":"Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment","date":"2025-03-25","arxiv_id":"2503.19586","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-geometry-of-chemical-reaction","title":"Information geometry of chemical reaction networks: Cramer-Rao bound and absolute sensitivity revisited","date":"2025-03-25","arxiv_id":"2503.19384","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-long-range-enso-prediction-with-an","title":"Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model","date":"2025-03-25","arxiv_id":"2503.19502","repositories_listed":0,"syntology":null},{"url":null,"slug":"unpaired-translation-of-chest-x-ray-images","title":"Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment","date":"2025-03-25","arxiv_id":"2503.19860","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-workflow-impact-and-clinical","title":"Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study","date":"2025-03-22","arxiv_id":"2503.17786","repositories_listed":0,"syntology":null},{"url":null,"slug":"elatcsf-a-temporal-contrast-sensitivity","title":"elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Detection and Modeling Variable Refresh Rate Flicker","date":"2025-03-21","arxiv_id":"2503.16759","repositories_listed":0,"syntology":null},{"url":null,"slug":"cohort-attention-evaluation-metric-against","title":"Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection","date":"2025-03-17","arxiv_id":"2503.12755","repositories_listed":0,"syntology":null},{"url":"/paper/five-a-fine-grained-video-editing-benchmark","slug":"five-a-fine-grained-video-editing-benchmark","title":"FiVE: A Fine-grained Video Editing Benchmark for Evaluating Emerging Diffusion and Rectified Flow Models","date":"2025-03-17","arxiv_id":"2503.13684","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-driver-cognition-and-decision","title":"Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective","date":"2025-03-16","arxiv_id":"2503.12637","repositories_listed":0,"syntology":null}],"record_sha256":"82c3df1ab2eb04051c2dfd9eaf990d97f3e77fdc6733fbd45b0f04ff3b1b10b7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}