{"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/specificity/papers/9","list_of":"/task/specificity","task":"Specificity","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":9,"pages_in_order":21,"rows_per_page":100,"rows":[801,900],"of":2094,"counts":{"archive_papers_tagged":2094,"with_a_code_link":504,"where_syntology_ran_a_sample":76,"not_listed_spam_title":0,"listed":2094,"listed_where_code_ran":76,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":65,"every_run_a_failure_of_syntologys_instrument":11,"listed_with_a_run_with_no_instrument_failure":65,"listed_every_run_a_failure_of_syntologys_instrument":11,"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/specificity","prev":"/task/specificity/papers/8","next":"/task/specificity/papers/10","papers":[{"url":null,"slug":"knowledge-driven-ai-generated-data-for","title":"Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses","date":"2024-07-23","arxiv_id":"2407.16634","repositories_listed":0,"syntology":null},{"url":null,"slug":"preictal-period-optimization-for-deep","title":"Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Prediction","date":"2024-07-20","arxiv_id":"2407.14876","repositories_listed":0,"syntology":null},{"url":null,"slug":"sim-clip-unsupervised-siamese-adversarial","title":"Sim-CLIP: Unsupervised Siamese Adversarial Fine-Tuning for Robust and Semantically-Rich Vision-Language Models","date":"2024-07-20","arxiv_id":"2407.14971","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-mortality-prediction-in-icu-stroke","title":"Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data","date":"2024-07-19","arxiv_id":"2407.14211","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-causal-sufficiency-and-necessity-of","title":"Towards the Causal Complete Cause of Multi-Modal Representation Learning","date":"2024-07-19","arxiv_id":"2407.14058","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-specific-or-uncertainty-aware-models","title":"Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?","date":"2024-07-17","arxiv_id":"2407.12626","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-phase-mutual-learning-framework-for","title":"Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans","date":"2024-07-16","arxiv_id":"2407.11529","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-optical-flow-and-deep-learning-to","title":"Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves","date":"2024-07-15","arxiv_id":"2408.00768","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-detectors-are-poor-western-blot","title":"AI Detectors are Poor Western Blot Classifiers: A Study of Accuracy and Predictive Values","date":"2024-07-14","arxiv_id":"2407.10308","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-semantic-segmentation-with-adaptive","title":"Enhancing Semantic Segmentation with Adaptive Focal Loss: A Novel Approach","date":"2024-07-13","arxiv_id":"2407.09828","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-state-space-and-reasoning-by","title":"Exploring State Space and Reasoning by Elimination in Tsetlin Machines","date":"2024-07-12","arxiv_id":"2407.09162","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-medical-image-synthesis-via","title":"Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning","date":"2024-07-10","arxiv_id":"2407.07660","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-sustainability-intention-of-esg","title":"Measuring Sustainability Intention of ESG Fund Disclosure using Few-Shot Learning","date":"2024-07-09","arxiv_id":"2407.06893","repositories_listed":0,"syntology":null},{"url":null,"slug":"tckin-a-novel-integrated-network-model-for","title":"TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients","date":"2024-07-09","arxiv_id":"2407.06560","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-physics-informed-cyclic-adversarial","title":"Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imaging","date":"2024-07-09","arxiv_id":"2407.06727","repositories_listed":0,"syntology":null},{"url":null,"slug":"protein-environment-sensitive-computational","title":"Protein-environment-sensitive computational epitope accessibility analysis from antibody dose-response data","date":"2024-07-08","arxiv_id":"2407.06052","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrinfox-at-checkthat-2024-task-2-enriching","title":"HYBRINFOX at CheckThat! 2024 -- Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection","date":"2024-07-04","arxiv_id":"2407.03770","repositories_listed":0,"syntology":null},{"url":null,"slug":"nutribench-a-dataset-for-evaluating-large","title":"NutriBench: A Dataset for Evaluating Large Language Models on Nutrition Estimation from Meal Descriptions","date":"2024-07-04","arxiv_id":"2407.12843","repositories_listed":0,"syntology":null},{"url":null,"slug":"deconvolving-complex-neuronal-networks-into","title":"Deconvolving Complex Neuronal Networks into Interpretable Task-Specific Connectomes","date":"2024-06-28","arxiv_id":"2407.00201","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-evidential-fusion-network-for","title":"Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation","date":"2024-06-26","arxiv_id":"2406.18327","repositories_listed":0,"syntology":null},{"url":null,"slug":"accessible-at-home-detection-of-parkinson-s","title":"Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis","date":"2024-06-21","arxiv_id":"2406.14856","repositories_listed":0,"syntology":null},{"url":null,"slug":"miniature-fluorescence-sensor-for","title":"Miniature fluorescence sensor for quantitative detection of brain tumour","date":"2024-06-21","arxiv_id":"2406.15520","repositories_listed":0,"syntology":null},{"url":null,"slug":"vigileye-artificial-intelligence-based-real","title":"VigilEye -- Artificial Intelligence-based Real-time Driver Drowsiness Detection","date":"2024-06-21","arxiv_id":"2406.15646","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-updated-overview-of-radiomics-based","title":"An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis","date":"2024-06-20","arxiv_id":"2406.14735","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-dry-eye-disease-patients-from","title":"Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data","date":"2024-06-20","arxiv_id":"2406.14068","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-mri-based-detection-of-amyloid","title":"Multimodal MRI Accurately Identifies Amyloid Status in Unbalanced Cohorts in Alzheimer's Disease Continuum","date":"2024-06-19","arxiv_id":"2406.13305","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-complex-disease-treatment","title":"Accelerating Complex Disease Treatment through Network Medicine and GenAI: A Case Study on Drug Repurposing for Breast Cancer","date":"2024-06-18","arxiv_id":"2406.13106","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-supermarket-robot-interaction-a","title":"Enhancing Supermarket Robot Interaction: A Multi-Level LLM Conversational Interface for Handling Diverse Customer Intents","date":"2024-06-16","arxiv_id":"2406.11047","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-and-validation-of-a-machine","title":"Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs","date":"2024-06-14","arxiv_id":"2406.10314","repositories_listed":0,"syntology":null},{"url":null,"slug":"rapid-and-accurate-diagnosis-of-acute-aortic","title":"A Deep Learning System for Rapid and Accurate Warning of Acute Aortic Syndrome on Non-contrast CT in China","date":"2024-06-14","arxiv_id":"2406.15222","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-full-integration-of-artificial","title":"Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway","date":"2024-06-14","arxiv_id":"2406.09761","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-potential-causes-of-sepsis-with","title":"Investigating potential causes of Sepsis with Bayesian network structure learning","date":"2024-06-13","arxiv_id":"2406.09207","repositories_listed":0,"syntology":null},{"url":null,"slug":"research-on-deep-learning-model-of-feature","title":"Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network","date":"2024-06-13","arxiv_id":"2406.08837","repositories_listed":0,"syntology":null},{"url":null,"slug":"gapses-versatile-smart-glasses-for","title":"GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG","date":"2024-06-12","arxiv_id":"2406.07903","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-impact-of-deep-learning-aid-on-the","title":"The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study","date":"2024-06-12","arxiv_id":"2406.08137","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-risk-of-early-stage-breast","title":"Assessing the risk of recurrence in early-stage breast cancer through H&E stained whole slide images","date":"2024-06-10","arxiv_id":"2406.06650","repositories_listed":0,"syntology":null},{"url":null,"slug":"verifiable-generation-with-subsentence-level","title":"Verifiable Generation with Subsentence-Level Fine-Grained Citations","date":"2024-06-10","arxiv_id":"2406.06125","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-antibody-design-with-force-guided","title":"Improving Antibody Design with Force-Guided Sampling in Diffusion Models","date":"2024-06-09","arxiv_id":"2406.05832","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hybrid-deep-learning-classification-of","title":"A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions","date":"2024-06-06","arxiv_id":"2406.03663","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-federated-domain-unlearning","title":"Towards Federated Domain Unlearning: Verification Methodologies and Challenges","date":"2024-06-05","arxiv_id":"2406.03078","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-count-coughs-an-event-based-framework","title":"How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance","date":"2024-06-03","arxiv_id":"2406.01529","repositories_listed":0,"syntology":null},{"url":null,"slug":"insect-diversity-estimation-in-polarimetric","title":"Insect Diversity Estimation in Polarimetric Lidar","date":"2024-06-03","arxiv_id":"2406.01143","repositories_listed":0,"syntology":null},{"url":null,"slug":"rag-enabled-conversations-about-household","title":"Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin","date":"2024-06-03","arxiv_id":"2406.06566","repositories_listed":0,"syntology":null},{"url":null,"slug":"dyna-disease-specific-language-model-for","title":"DYNA: Disease-Specific Language Model for Variant Pathogenicity","date":"2024-05-31","arxiv_id":"2406.00164","repositories_listed":0,"syntology":null},{"url":null,"slug":"focal-loss-analysis-of-peripapillary-nerve","title":"Focal Loss Analysis of Peripapillary Nerve Fiber Layer Reflectance for Glaucoma Diagnosis","date":"2024-05-31","arxiv_id":"2406.00170","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-staged-approach-using-machine-learning-and","title":"A Staged Approach using Machine Learning and Uncertainty Quantification to Predict the Risk of Hip Fracture","date":"2024-05-30","arxiv_id":"2405.20071","repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-planning-and-operation-under-power","title":"Generation planning and operation under power stability constraints: A Hydro-Quebec use case","date":"2024-05-30","arxiv_id":"2405.20199","repositories_listed":0,"syntology":null},{"url":null,"slug":"categorization-of-31-computational-methods-to","title":"Categorization of 33 computational methods to detect spatially variable genes from spatially resolved transcriptomics data","date":"2024-05-29","arxiv_id":"2405.18779","repositories_listed":0,"syntology":null},{"url":null,"slug":"crowdsourcing-with-difficulty-a-bayesian","title":"Crowdsourcing with Difficulty: A Bayesian Rating Model for Heterogeneous Items","date":"2024-05-29","arxiv_id":"2405.19521","repositories_listed":0,"syntology":null},{"url":null,"slug":"epi-valid-validation-of-an-algorithm-for","title":"EPI-VALID : Validation of an algorithm for identifying patients with epilepsy in the SNDS using data from the CONSTANCES cohort","date":"2024-05-27","arxiv_id":"2405.17515","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-classification-of","title":"Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels","date":"2024-05-23","arxiv_id":"2405.14556","repositories_listed":0,"syntology":null},{"url":null,"slug":"like-humans-to-few-shot-learning-through","title":"Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text","date":"2024-05-21","arxiv_id":"2405.12543","repositories_listed":0,"syntology":null},{"url":null,"slug":"study-on-spike-and-wave-detection-in","title":"Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier","date":"2024-05-21","arxiv_id":"2405.14896","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-assurance-of-organs-at-risk","title":"Quality assurance of organs-at-risk delineation in radiotherapy","date":"2024-05-20","arxiv_id":"2405.11732","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-selective-classification","title":"Hierarchical Selective Classification","date":"2024-05-19","arxiv_id":"2405.11533","repositories_listed":0,"syntology":null},{"url":null,"slug":"enviroexam-benchmarking-environmental-science","title":"EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models","date":"2024-05-18","arxiv_id":"2405.11265","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-systematic-review-and-meta-analysis-on","title":"A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence","date":"2024-05-17","arxiv_id":"2405.11008","repositories_listed":0,"syntology":null},{"url":null,"slug":"manifold-learning-via-memory-and-context","title":"Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference","date":"2024-05-17","arxiv_id":"2407.09488","repositories_listed":0,"syntology":null},{"url":null,"slug":"learnable-privacy-neurons-localization-in","title":"Learnable Privacy Neurons Localization in Language Models","date":"2024-05-16","arxiv_id":"2405.10989","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-driven-biomarker-selection","title":"Machine Learning Driven Biomarker Selection for Medical Diagnosis","date":"2024-05-16","arxiv_id":"2405.10345","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-bias-mitigation-from-the","title":"Large Language Model Bias Mitigation from the Perspective of Knowledge Editing","date":"2024-05-15","arxiv_id":"2405.09341","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulating-policy-impacts-developing-a","title":"Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation","date":"2024-05-15","arxiv_id":"2405.09679","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-classification-of-multi-parametric","title":"Automated classification of multi-parametric body MRI series","date":"2024-05-14","arxiv_id":"2405.08247","repositories_listed":0,"syntology":null},{"url":null,"slug":"generation-of-granular-balls-for-clustering","title":"Generation of Granular-Balls for Clustering Based on the Principle of Justifiable Granularity","date":"2024-05-11","arxiv_id":"2405.06904","repositories_listed":0,"syntology":null},{"url":null,"slug":"pruning-as-a-domain-specific-llm-extractor","title":"Pruning as a Domain-specific LLM Extractor","date":"2024-05-10","arxiv_id":"2405.06275","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-intelligence-for-abnormality","title":"Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis","date":"2024-05-09","arxiv_id":"2405.05658","repositories_listed":0,"syntology":null},{"url":null,"slug":"whole-genome-transformer-for-gene-interaction","title":"Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity","date":"2024-05-09","arxiv_id":"2405.05998","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-valuation-framework-for-customers-impacted","title":"A Valuation Framework for Customers Impacted by Extreme Temperature-Related Outages","date":"2024-05-06","arxiv_id":"2405.03575","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmger-multi-modal-and-multi-granularity","title":"MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition","date":"2024-05-06","arxiv_id":"2405.03152","repositories_listed":0,"syntology":null},{"url":null,"slug":"codegrag-extracting-composed-syntax-graphs","title":"CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation","date":"2024-05-03","arxiv_id":"2405.02355","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-imitation-learning-for-prosthetic","title":"Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior Modeling","date":"2024-05-02","arxiv_id":"2405.01114","repositories_listed":0,"syntology":null},{"url":null,"slug":"to-what-extent-is-chatgpt-useful-for-language","title":"To what extent is ChatGPT useful for language teacher lesson plan creation?","date":"2024-04-25","arxiv_id":"2407.09974","repositories_listed":0,"syntology":null},{"url":null,"slug":"limits-on-inferring-t-cell-specificity-from","title":"Limits on Inferring T-cell Specificity from Partial Information","date":"2024-04-19","arxiv_id":"2404.12565","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-contrastive-vision-transformer-for","title":"Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification","date":"2024-04-17","arxiv_id":"2404.11052","repositories_listed":0,"syntology":null},{"url":null,"slug":"vlst-virtual-lung-screening-trial-for-lung","title":"Virtual Lung Screening Trial (VLST): An In Silico Study Inspired by the National Lung Screening Trial for Lung Cancer Detection","date":"2024-04-17","arxiv_id":"2404.11221","repositories_listed":0,"syntology":null},{"url":null,"slug":"aavdiff-experimental-validation-of-enhanced","title":"AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation","date":"2024-04-16","arxiv_id":"2404.10573","repositories_listed":0,"syntology":null},{"url":null,"slug":"prescribing-the-right-remedy-mitigating","title":"Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning","date":"2024-04-16","arxiv_id":"2404.10332","repositories_listed":0,"syntology":null},{"url":null,"slug":"gemquad-generating-multilingual-question","title":"GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning","date":"2024-04-14","arxiv_id":"2404.09163","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-can-continue-evolving","title":"CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes","date":"2024-04-11","arxiv_id":"2404.08707","repositories_listed":0,"syntology":null},{"url":null,"slug":"topological-feature-search-method-for","title":"Topological Feature Search Method for Multichannel EEG: Application in ADHD classification","date":"2024-04-10","arxiv_id":"2404.06676","repositories_listed":0,"syntology":null},{"url":null,"slug":"anomaly-detection-in-electrocardiograms","title":"Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning","date":"2024-04-07","arxiv_id":"2404.04935","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-the-effectiveness-of-artificial","title":"Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis","date":"2024-04-06","arxiv_id":"2404.05762","repositories_listed":0,"syntology":null},{"url":null,"slug":"lung-cancer-detection-using-machine-learning","title":"Lung Cancer Detection Using Machine Learning Methods","date":"2024-04-05","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dendrites-endow-artificial-neural-networks","title":"Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning","date":"2024-04-04","arxiv_id":"2404.03708","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-prompt-selection-for-large-language","title":"Automatic Prompt Selection for Large Language Models","date":"2024-04-03","arxiv_id":"2404.02717","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-fake-and-synthetic-faces-does-the-coin","title":"Real, fake and synthetic faces - does the coin have three sides?","date":"2024-04-02","arxiv_id":"2404.01878","repositories_listed":0,"syntology":null},{"url":null,"slug":"psychometry-an-omnifit-model-for-image","title":"Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity","date":"2024-03-29","arxiv_id":"2403.20022","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-intelligence-ai-based-prediction","title":"Artificial Intelligence (AI) Based Prediction of Mortality, for COVID-19 Patients","date":"2024-03-28","arxiv_id":"2403.19355","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-augmented-diagnostic-testing","title":"Machine learning augmented diagnostic testing to identify sources of variability in test performance","date":"2024-03-28","arxiv_id":"2404.03678","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarking-image-transformers-for-prostate","title":"Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data","date":"2024-03-27","arxiv_id":"2403.18233","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-report-generation-for-lung","title":"Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study","date":"2024-03-26","arxiv_id":"2403.18151","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-paired-antibody-language-models","title":"Large scale paired antibody language models","date":"2024-03-26","arxiv_id":"2403.17889","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-experiment-with-the-use-of-chatgpt-for","title":"An Experiment with the Use of ChatGPT for LCSH Subject Assignment on Electronic Theses and Dissertations","date":"2024-03-25","arxiv_id":"2403.16424","repositories_listed":0,"syntology":null},{"url":null,"slug":"strategies-to-improve-real-world","title":"Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models","date":"2024-03-25","arxiv_id":"2403.17192","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-lipidomic-automation-workflow","title":"Comprehensive Lipidomic Automation Workflow using Large Language Models","date":"2024-03-22","arxiv_id":"2403.15076","repositories_listed":0,"syntology":null},{"url":null,"slug":"erd-a-framework-for-improving-llm-reasoning","title":"ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification","date":"2024-03-21","arxiv_id":"2403.14255","repositories_listed":0,"syntology":null},{"url":null,"slug":"valeur-des-tests-pace-et-ctb-elisa-dans-le","title":"Valeur des tests PACE et CTB_ELISA dans le diagnostic de la peste porcine classique (PPC) et le contr{ô}le de qualit{é} du vaccin correspondant {à} Madagascar","date":"2024-03-19","arxiv_id":"2403.13853","repositories_listed":0,"syntology":null},{"url":null,"slug":"perceptual-learning-in-contour-detection","title":"Perceptual learning in contour detection transfer across changes in contour path and orientation","date":"2024-03-18","arxiv_id":"2403.11516","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-oos-evaluation-of-predictive","title":"Comprehensive OOS Evaluation of Predictive Algorithms with Statistical Decision Theory","date":"2024-03-16","arxiv_id":"2403.11016","repositories_listed":0,"syntology":null},{"url":null,"slug":"animate-your-motion-turning-still-images-into","title":"Animate Your Motion: Turning Still Images into Dynamic Videos","date":"2024-03-15","arxiv_id":"2403.10179","repositories_listed":0,"syntology":null}],"record_sha256":"807d1ed1e9a6832c10ba8de8771a617e0d34351627968bc0c50291a24b952173","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}