{"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/deep-learning/papers/33","list_of":"/task/deep-learning","task":"Deep Learning","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":33,"pages_in_order":95,"rows_per_page":100,"rows":[3201,3300],"of":9423,"counts":{"archive_papers_tagged":9423,"with_a_code_link":2693,"where_syntology_ran_a_sample":410,"not_listed_spam_title":0,"listed":9423,"listed_where_code_ran":410,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":356,"every_run_a_failure_of_syntologys_instrument":54,"listed_with_a_run_with_no_instrument_failure":356,"listed_every_run_a_failure_of_syntologys_instrument":54,"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/deep-learning","prev":"/task/deep-learning/papers/32","next":"/task/deep-learning/papers/34","papers":[{"url":null,"slug":"cancer-cell-classification-using-deep","title":"Cancer Cell Classification using Deep Learning","date":"2024-10-21","arxiv_id":"2410.16519","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-and-machine-learning-object","title":"Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications","date":"2024-10-21","arxiv_id":"2410.15584","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-flare-forecasting-with-deep","title":"Multimodal Flare Forecasting with Deep Learning","date":"2024-10-21","arxiv_id":"2410.16116","repositories_listed":0,"syntology":null},{"url":null,"slug":"offline-reinforcement-learning-for-job-shop","title":"Offline reinforcement learning for job-shop scheduling problems","date":"2024-10-21","arxiv_id":"2410.15714","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-better-deep-learning-models-using","title":"Training Better Deep Learning Models Using Human Saliency","date":"2024-10-21","arxiv_id":"2410.16190","repositories_listed":0,"syntology":null},{"url":null,"slug":"ltpnet-integration-of-deep-learning-and","title":"LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting","date":"2024-10-20","arxiv_id":"2410.15286","repositories_listed":0,"syntology":null},{"url":null,"slug":"science-time-series-deep-learning-in","title":"Science Time Series: Deep Learning in Hydrology","date":"2024-10-19","arxiv_id":"2410.15218","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-information-g-theory-for-range","title":"Semantic Information G Theory for Range Control with Tradeoff between Purposiveness and Efficiency","date":"2024-10-19","arxiv_id":"2411.05789","repositories_listed":0,"syntology":null},{"url":null,"slug":"stool-recognition-for-colorectal-cancer","title":"Stool Recognition for Colorectal Cancer Detection through Deep Learning","date":"2024-10-19","arxiv_id":"2410.17288","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-computational-solutions-for","title":"A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts","date":"2024-10-18","arxiv_id":"2410.14770","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-histopathology-with-deep-learning","title":"Advancing Histopathology with Deep Learning Under Data Scarcity: A Decade in Review","date":"2024-10-18","arxiv_id":"2410.19820","repositories_listed":0,"syntology":null},{"url":null,"slug":"debiasing-mini-batch-quadratics-for","title":"Debiasing Mini-Batch Quadratics for Applications in Deep Learning","date":"2024-10-18","arxiv_id":"2410.14325","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-applications-in-medical-image","title":"Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions","date":"2024-10-18","arxiv_id":"2410.14131","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-solar-cell-recognition","title":"Deep Learning Based Solar Cell Recognition for Optical Wireless Power Transfer","date":"2024-10-18","arxiv_id":"2410.14096","repositories_listed":0,"syntology":null},{"url":null,"slug":"gesh-net-graph-enhanced-spherical-harmonic","title":"GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration","date":"2024-10-18","arxiv_id":"2410.14805","repositories_listed":0,"syntology":null},{"url":null,"slug":"bundl-bayesian-uncertainty-aware-deep","title":"BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG","date":"2024-10-17","arxiv_id":"2410.19815","repositories_listed":0,"syntology":null},{"url":null,"slug":"approaching-metaheuristic-deep-learning","title":"Approaching Metaheuristic Deep Learning Combos for Automated Data Mining","date":"2024-10-16","arxiv_id":"2410.12435","repositories_listed":0,"syntology":null},{"url":null,"slug":"edgerl-reinforcement-learning-driven-deep","title":"EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge","date":"2024-10-16","arxiv_id":"2410.12221","repositories_listed":0,"syntology":null},{"url":null,"slug":"game-theory-meets-statistical-mechanics-in","title":"Game Theory Meets Statistical Mechanics in Deep Learning Design","date":"2024-10-16","arxiv_id":"2410.12264","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-and-application-of-cloud-based","title":"Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction","date":"2024-10-16","arxiv_id":"2410.12642","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-dataset-generalization-in-deep-learning","title":"Cross-Dataset Generalization in Deep Learning","date":"2024-10-15","arxiv_id":"2410.11207","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-transfer-learning-for-deep-nlp","title":"Exploring transfer learning for Deep NLP systems on rarely annotated languages","date":"2024-10-15","arxiv_id":"2410.12879","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-word-auditory-attention-decoding-using","title":"Single-word Auditory Attention Decoding Using Deep Learning Model","date":"2024-10-15","arxiv_id":"2410.19793","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-deep-learning-and-conventional","title":"Comparison of deep learning and conventional methods for disease onset prediction","date":"2024-10-14","arxiv_id":"2410.10505","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-xiot-malware-analysis-a","title":"Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges","date":"2024-10-14","arxiv_id":"2410.13894","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-driven-mobile-traffic","title":"Deep Learning-driven Mobile Traffic Measurement Collection and Analysis","date":"2024-10-14","arxiv_id":"2410.19777","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-diagnoses-of-acute-lymphoblastic","title":"Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models","date":"2024-10-14","arxiv_id":"2410.10701","repositories_listed":0,"syntology":null},{"url":null,"slug":"learnable-optimization-based-algorithms-for","title":"Learnable Optimization-Based Algorithms for Low-Dose CT Reconstruction","date":"2024-10-14","arxiv_id":"2410.11903","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-explainable-ai-model-for-predicting-the","title":"An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer","date":"2024-10-13","arxiv_id":"2410.10907","repositories_listed":0,"syntology":null},{"url":null,"slug":"topoc-topological-deep-learning-for-ovarian","title":"TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis","date":"2024-10-13","arxiv_id":"2410.09818","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-reproducible-learning-based","title":"Towards Reproducible Learning-based Compression","date":"2024-10-13","arxiv_id":"2410.09872","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-algorithms-for-mean-field","title":"Learning to Stop: Deep Learning for Mean Field Optimal Stopping","date":"2024-10-11","arxiv_id":"2410.08850","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyperpg-prototypical-gaussians-on-the","title":"HyperPg -- Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning","date":"2024-10-11","arxiv_id":"2410.08925","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-fusion-based-q-distribution","title":"Multi-modal Fusion based Q-distribution Prediction for Controlled Nuclear Fusion","date":"2024-10-11","arxiv_id":"2410.08879","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-deep-ensembles-with-learning-rate","title":"Boosting Deep Ensembles with Learning Rate Tuning","date":"2024-10-10","arxiv_id":"2410.07564","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-generalised-planning-with","title":"Deep Learning for Generalised Planning with Background Knowledge","date":"2024-10-10","arxiv_id":"2410.07923","repositories_listed":0,"syntology":null},{"url":null,"slug":"nesterov-acceleration-in-benignly-non-convex","title":"Nesterov acceleration in benignly non-convex landscapes","date":"2024-10-10","arxiv_id":"2410.08395","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptation-odyssey-in-llms-why-does","title":"Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?","date":"2024-10-08","arxiv_id":"2410.05581","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-fault-identification-in","title":"Deep learning-based fault identification in condition monitoring","date":"2024-10-08","arxiv_id":"2410.05889","repositories_listed":0,"syntology":null},{"url":null,"slug":"extended-convexity-and-smoothness-and-their","title":"Extended convexity and smoothness and their applications in deep learning","date":"2024-10-08","arxiv_id":"2410.05807","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-estimation-via-ensembles-of-deep","title":"Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces","date":"2024-10-08","arxiv_id":"2410.06120","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-artificial-intelligence-based","title":"A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends","date":"2024-10-07","arxiv_id":"2410.04815","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simulation-free-deep-learning-approach-to","title":"An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control","date":"2024-10-07","arxiv_id":"2410.05163","repositories_listed":0,"syntology":null},{"url":null,"slug":"molecular-topological-deep-learning-for","title":"Molecular topological deep learning for polymer property prediction","date":"2024-10-07","arxiv_id":"2410.04765","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-ictal-seizure-prediction-using","title":"Pre-Ictal Seizure Prediction Using Personalized Deep Learning","date":"2024-10-07","arxiv_id":"2410.05491","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-categorical-foundation-of-deep","title":"Towards a Categorical Foundation of Deep Learning: A Survey","date":"2024-10-07","arxiv_id":"2410.05353","repositories_listed":0,"syntology":null},{"url":null,"slug":"robustness-reprogramming-for-representation","title":"Robustness Reprogramming for Representation Learning","date":"2024-10-06","arxiv_id":"2410.04577","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-deeper-always-better-replacing-linear","title":"Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model","date":"2024-10-05","arxiv_id":"2410.04259","repositories_listed":0,"syntology":null},{"url":null,"slug":"dolphin-a-programmable-framework-for-scalable","title":"Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning","date":"2024-10-04","arxiv_id":"2410.03348","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-deep-learning-with-fixed-time","title":"Accelerating Deep Learning with Fixed Time Budget","date":"2024-10-03","arxiv_id":"2410.03790","repositories_listed":0,"syntology":null},{"url":null,"slug":"forecasting-smog-clouds-with-deep-learning","title":"Forecasting Smog Clouds With Deep Learning","date":"2024-10-03","arxiv_id":"2410.02759","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-action-spotting-in","title":"Deep learning for action spotting in association football videos","date":"2024-10-02","arxiv_id":"2410.01304","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-deep-learning-sequence-structure-co","title":"Towards deep learning sequence-structure co-generation for protein design","date":"2024-10-02","arxiv_id":"2410.01773","repositories_listed":0,"syntology":null},{"url":null,"slug":"drone-stereo-vision-for-radiata-pine-branch-1","title":"Drone Stereo Vision for Radiata Pine Branch Detection and Distance Measurement: Utilizing Deep Learning and YOLO Integration","date":"2024-10-01","arxiv_id":"2410.00503","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-credit-score-prediction-using","title":"Enhanced Credit Score Prediction Using Ensemble Deep Learning Model","date":"2024-09-30","arxiv_id":"2410.00256","repositories_listed":0,"syntology":null},{"url":null,"slug":"rna-protein-interaction-prediction-based-on","title":"RNA-Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey","date":"2024-09-30","arxiv_id":"2410.00077","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-shot-reconstruction-of-three","title":"Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network","date":"2024-09-30","arxiv_id":"2409.20013","repositories_listed":0,"syntology":null},{"url":null,"slug":"stock-price-prediction-and-traditional-models","title":"Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals","date":"2024-09-29","arxiv_id":"2410.07220","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-deep-learning-based-segmentation-and","title":"Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images","date":"2024-09-28","arxiv_id":"2409.19354","repositories_listed":0,"syntology":null},{"url":null,"slug":"scientific-machine-learning-seismology","title":"Scientific Machine Learning Seismology","date":"2024-09-27","arxiv_id":"2409.18397","repositories_listed":0,"syntology":null},{"url":null,"slug":"tensorsocket-shared-data-loading-for-deep","title":"TensorSocket: Shared Data Loading for Deep Learning Training","date":"2024-09-27","arxiv_id":"2409.18749","repositories_listed":0,"syntology":null},{"url":null,"slug":"dreams-a-python-framework-to-train-deep","title":"DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications","date":"2024-09-26","arxiv_id":"2409.17815","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-stay-length-of-patients-in","title":"Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model","date":"2024-09-26","arxiv_id":"2409.17786","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-dataset-classification-based-deep","title":"Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning","date":"2024-09-25","arxiv_id":"2409.16721","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-minimum-error-entropy-loss","title":"An Analysis of Minimum Error Entropy Loss Functions in Wireless Communications","date":"2024-09-25","arxiv_id":"2410.07208","repositories_listed":0,"syntology":null},{"url":null,"slug":"ascend-hifloat8-format-for-deep-learning","title":"Ascend HiFloat8 Format for Deep Learning","date":"2024-09-25","arxiv_id":"2409.16626","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-and-machine-learning-advancing","title":"Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer","date":"2024-09-25","arxiv_id":"2409.17120","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-feature-selection-and","title":"Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution","date":"2024-09-25","arxiv_id":"2409.16787","repositories_listed":0,"syntology":null},{"url":null,"slug":"optical-lens-attack-on-deep-learning-based","title":"Optical Lens Attack on Deep Learning Based Monocular Depth Estimation","date":"2024-09-25","arxiv_id":"2409.17376","repositories_listed":0,"syntology":null},{"url":null,"slug":"small-data-deep-learning-methodology-for-in","title":"Small data deep learning methodology for in-field disease detection","date":"2024-09-25","arxiv_id":"2409.17119","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-techniques-for-automatic","title":"Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?","date":"2024-09-24","arxiv_id":"2409.15834","repositories_listed":0,"syntology":null},{"url":null,"slug":"edge-device-collaborative-computing-for-multi","title":"Edge-device Collaborative Computing for Multi-view Classification","date":"2024-09-24","arxiv_id":"2409.15973","repositories_listed":0,"syntology":null},{"url":null,"slug":"proactive-schemes-a-survey-of-adversarial","title":"Proactive Schemes: A Survey of Adversarial Attacks for Social Good","date":"2024-09-24","arxiv_id":"2409.16491","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-approach-for-knee-point","title":"Deep Learning Approach for Knee Point Detection on Noisy Data","date":"2024-09-23","arxiv_id":"2409.15608","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-to-play-games","title":"Deep Learning Across Games","date":"2024-09-23","arxiv_id":"2409.15197","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-technology-for-face-forgery","title":"Deep Learning Technology for Face Forgery Detection: A Survey","date":"2024-09-22","arxiv_id":"2409.14289","repositories_listed":0,"syntology":null},{"url":null,"slug":"price-predictability-in-limit-order-book-with","title":"Price predictability in limit order book with deep learning model","date":"2024-09-21","arxiv_id":"2409.14157","repositories_listed":0,"syntology":null},{"url":null,"slug":"credit-card-fraud-detection-a-deep-learning","title":"Credit Card Fraud Detection: A Deep Learning Approach","date":"2024-09-20","arxiv_id":"2409.13406","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-and-machine-learning-advancing-4","title":"Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models","date":"2024-09-20","arxiv_id":"2409.13566","repositories_listed":0,"syntology":null},{"url":null,"slug":"validation-exploration-of-multimodal-deep","title":"Validation & Exploration of Multimodal Deep-Learning Camera-Lidar Calibration models","date":"2024-09-20","arxiv_id":"2409.13402","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-detection-of-referable","title":"Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging","date":"2024-09-19","arxiv_id":"2409.12854","repositories_listed":0,"syntology":null},{"url":null,"slug":"recognition-of-harmful-phytoplankton-from","title":"Recognition of Harmful Phytoplankton from Microscopic Images using Deep Learning","date":"2024-09-19","arxiv_id":"2409.12900","repositories_listed":0,"syntology":null},{"url":null,"slug":"bundle-adjustment-in-the-eager-mode","title":"Bundle Adjustment in the Eager Mode","date":"2024-09-18","arxiv_id":"2409.12190","repositories_listed":0,"syntology":null},{"url":null,"slug":"gredp-a-more-robust-approach-for-differential","title":"Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security","date":"2024-09-18","arxiv_id":"2409.11663","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-sensor-deep-learning-for-glacier","title":"Multi-Sensor Deep Learning for Glacier Mapping","date":"2024-09-18","arxiv_id":"2409.12034","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-interpretable-end-stage-renal-disease","title":"Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques","date":"2024-09-18","arxiv_id":"2409.12087","repositories_listed":0,"syntology":null},{"url":null,"slug":"super-resolution-on-global-weather-forecasts","title":"Super Resolution On Global Weather Forecasts","date":"2024-09-17","arxiv_id":"2409.11502","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-study-on-sentiment-analysis","title":"Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system","date":"2024-09-16","arxiv_id":"2409.09989","repositories_listed":0,"syntology":null},{"url":null,"slug":"recent-advances-in-deep-learning-and-language","title":"Recent advances in deep learning and language models for studying the microbiome","date":"2024-09-15","arxiv_id":"2409.10579","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamic-weighting-strategy-to-mitigate","title":"A Dynamic Weighting Strategy to Mitigate Worker Node Failure in Distributed Deep Learning","date":"2024-09-14","arxiv_id":"2409.09242","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-deep-unfolding-with-direct","title":"Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction","date":"2024-09-14","arxiv_id":"2409.09477","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-codes-for-wiretap-fading","title":"Modular Neural Wiretap Codes for Fading Channels","date":"2024-09-13","arxiv_id":"2409.08786","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-shot-domain-seismic","title":"Deep learning-based shot-domain seismic deblending","date":"2024-09-13","arxiv_id":"2409.08602","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-white-box-deep-learning-method-for","title":"A White-Box Deep-Learning Method for Electrical Energy System Modeling Based on Kolmogorov-Arnold Network","date":"2024-09-12","arxiv_id":"2409.08044","repositories_listed":0,"syntology":null},{"url":null,"slug":"comex-copper-futures-volatility-forecasting","title":"COMEX Copper Futures Volatility Forecasting: Econometric Models and Deep Learning","date":"2024-09-12","arxiv_id":"2409.08356","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-personalized","title":"Deep Learning for Personalized Electrocardiogram Diagnosis: A Review","date":"2024-09-12","arxiv_id":"2409.07975","repositories_listed":0,"syntology":null},{"url":null,"slug":"current-symmetry-group-equivariant","title":"Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning","date":"2024-09-11","arxiv_id":"2409.07327","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-predicting-rate-induced","title":"Deep Learning for predicting rate-induced tipping","date":"2024-09-11","arxiv_id":"2409.07590","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-of-dynamic-systems-using-system","title":"Deep Learning of Dynamic Systems using System Identification Toolbox(TM)","date":"2024-09-11","arxiv_id":"2409.07642","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-techniques-for-hand-vein","title":"Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review","date":"2024-09-11","arxiv_id":"2409.07128","repositories_listed":0,"syntology":null}],"record_sha256":"fae568a48d8a0e39f2e4250be6a36f8cd9a17a2b81f80367f6713ca5dcab038c","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}