{"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":"/method/svm/papers/3","list_of":"/method/svm","method":"SVM","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":3,"pages_in_order":19,"rows_per_page":100,"rows":[201,300],"of":1823,"counts":{"archive_papers_tagged":1823,"with_a_code_link":328,"where_syntology_ran_a_sample":28,"not_listed_spam_title":0,"listed":1823,"listed_where_code_ran":28,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":25,"every_run_a_failure_of_syntologys_instrument":3,"listed_with_a_run_with_no_instrument_failure":25,"listed_every_run_a_failure_of_syntologys_instrument":3,"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":"/method/svm","prev":"/method/svm/papers/2","next":"/method/svm/papers/4","papers":[{"paper":null,"slug":"tverberg-s-theorem-and-multi-class-support","title":"Tverberg's theorem and multi-class support vector machines","date":"2024-04-25","arxiv_id":"2404.16724","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptive-local-binary-pattern-a-novel-feature","title":"Adaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced Analysis of Kidney Abnormalities in CT Scan Images using ensemble based Machine Learning Approach","date":"2024-04-22","arxiv_id":"2404.14560","n_code_links":0,"syntology":null},{"paper":null,"slug":"stochastic-volatility-in-mean-efficient","title":"Stochastic Volatility in Mean: Efficient Analysis by a Generalized Mixture Sampler","date":"2024-04-22","arxiv_id":"2404.13986","n_code_links":0,"syntology":null},{"paper":null,"slug":"detecting-ai-generated-text-based-on-nlp-and","title":"Detecting AI Generated Text Based on NLP and Machine Learning Approaches","date":"2024-04-15","arxiv_id":"2404.10032","n_code_links":0,"syntology":null},{"paper":null,"slug":"feature-selection-in-linear-svms-via-hard","title":"Feature selection in linear SVMs via a hard cardinality constraint: a scalable SDP decomposition approach","date":"2024-04-15","arxiv_id":"2404.10099","n_code_links":0,"syntology":null},{"paper":"/paper/from-words-to-numbers-your-large-language","slug":"from-words-to-numbers-your-large-language","title":"From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples","date":"2024-04-11","arxiv_id":"2404.07544","n_code_links":1,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":10,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["robertvacareanu/llm4regression"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"predictive-modelling-of-air-quality-index-aqi","title":"Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability","date":"2024-04-11","arxiv_id":"2404.08702","n_code_links":0,"syntology":null},{"paper":null,"slug":"predicting-overtakes-in-trucks-using-can-data","title":"Predicting Overtakes in Trucks Using CAN Data","date":"2024-04-08","arxiv_id":"2404.05723","n_code_links":0,"syntology":null},{"paper":null,"slug":"glcm-based-feature-combination-for-extraction","title":"GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning","date":"2024-04-06","arxiv_id":"2404.04578","n_code_links":0,"syntology":null},{"paper":null,"slug":"multi-task-learning-for-lung-sound-lung","title":"Multi-Task Learning for Lung sound & Lung disease classification","date":"2024-04-05","arxiv_id":"2404.03908","n_code_links":0,"syntology":null},{"paper":"/paper/predictive-analytics-of-varieties-of-potatoes","slug":"predictive-analytics-of-varieties-of-potatoes","title":"Predictive Analytics of Varieties of Potatoes","date":"2024-04-04","arxiv_id":"2404.03701","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-novel-approach-to-breast-cancer","title":"A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method","date":"2024-04-03","arxiv_id":"2404.02447","n_code_links":0,"syntology":null},{"paper":null,"slug":"assessing-ml-classification-algorithms-and","title":"Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study","date":"2024-04-03","arxiv_id":"2404.04284","n_code_links":0,"syntology":null},{"paper":null,"slug":"leveraging-machine-learning-for-early-autism","title":"Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database","date":"2024-04-02","arxiv_id":"2404.02181","n_code_links":0,"syntology":null},{"paper":null,"slug":"identifying-banking-transaction-descriptions","title":"Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus","date":"2024-03-29","arxiv_id":"2404.08664","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-support-vectors","title":"Deep Support Vectors","date":"2024-03-26","arxiv_id":"2403.17329","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-loss-function-based-support-vector","title":"A Novel Loss Function-based Support Vector Machine for Binary Classification","date":"2024-03-25","arxiv_id":"2403.16654","n_code_links":0,"syntology":null},{"paper":null,"slug":"ultra-low-cost-two-stage-multimodal-system","title":"Ultra Low-Cost Two-Stage Multimodal System for Non-Normative Behavior Detection","date":"2024-03-24","arxiv_id":"2403.16151","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-sampling-methods-for-fine-tuning","title":"Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams","date":"2024-03-18","arxiv_id":"2403.15455","n_code_links":0,"syntology":null},{"paper":null,"slug":"methods-for-generating-drift-in-text-streams","title":"Methods for Generating Drift in Text Streams","date":"2024-03-18","arxiv_id":"2403.12328","n_code_links":0,"syntology":null},{"paper":null,"slug":"comprehensive-study-of-predictive-maintenance","title":"Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model","date":"2024-03-15","arxiv_id":"2403.10259","n_code_links":0,"syntology":null},{"paper":null,"slug":"randomized-principal-component-analysis-for","title":"Randomized Principal Component Analysis for Hyperspectral Image Classification","date":"2024-03-14","arxiv_id":"2403.09117","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-generalized-framework-with-adaptive","title":"An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification","date":"2024-03-13","arxiv_id":"2403.08378","n_code_links":0,"syntology":null},{"paper":null,"slug":"implicit-regularization-of-gradient-flow-on","title":"Implicit Regularization of Gradient Flow on One-Layer Softmax Attention","date":"2024-03-13","arxiv_id":"2403.08699","n_code_links":0,"syntology":null},{"paper":"/paper/local-binary-and-multiclass-svms-trained-on-a","slug":"local-binary-and-multiclass-svms-trained-on-a","title":"Local Binary and Multiclass SVMs Trained on a Quantum Annealer","date":"2024-03-13","arxiv_id":"2403.08584","n_code_links":1,"syntology":null},{"paper":null,"slug":"quantum-support-vector-machine-for-prostate","title":"Quantum Support Vector Machine for Prostate Cancer Detection: A Performance Analysis","date":"2024-03-12","arxiv_id":"2403.07856","n_code_links":0,"syntology":null},{"paper":null,"slug":"distributed-record-linkage-in-healthcare-data","title":"Distributed Record Linkage in Healthcare Data with Apache Spark","date":"2024-03-09","arxiv_id":"2404.07939","n_code_links":0,"syntology":null},{"paper":null,"slug":"lateral-control-of-brain-controlled-vehicle","title":"Lateral Control of Brain-Controlled Vehicle Based on SVM Probability Output Model","date":"2024-03-09","arxiv_id":"2403.05762","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-safe-screening-rule-with-bi-level","title":"A Safe Screening Rule with Bi-level Optimization of $ν$ Support Vector Machine","date":"2024-03-04","arxiv_id":"2403.01769","n_code_links":0,"syntology":null},{"paper":"/paper/forecasting-sep-events-during-solar-cycles-23","slug":"forecasting-sep-events-during-solar-cycles-23","title":"Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning","date":"2024-03-04","arxiv_id":"2403.02536","n_code_links":1,"syntology":null},{"paper":null,"slug":"not-all-layers-of-llms-are-necessary-during","title":"Not All Layers of LLMs Are Necessary During Inference","date":"2024-03-04","arxiv_id":"2403.02181","n_code_links":0,"syntology":null},{"paper":null,"slug":"mlfef-machine-learning-fusion-model-with","title":"MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sports","date":"2024-02-19","arxiv_id":"2402.12149","n_code_links":0,"syntology":null},{"paper":"/paper/can-tree-based-approaches-surpass-deep","slug":"can-tree-based-approaches-surpass-deep","title":"Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study","date":"2024-02-11","arxiv_id":"2402.07281","n_code_links":1,"syntology":null},{"paper":null,"slug":"speech-motion-anomaly-detection-via-cross","title":"Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI","date":"2024-02-10","arxiv_id":"2402.06984","n_code_links":0,"syntology":null},{"paper":null,"slug":"implicit-bias-and-fast-convergence-rates-for","title":"Implicit Bias and Fast Convergence Rates for Self-attention","date":"2024-02-08","arxiv_id":"2402.05738","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-comparative-study-on-feature-selection-for","title":"A comparative study on feature selection for a risk prediction model for colorectal cancer","date":"2024-02-07","arxiv_id":"2402.05293","n_code_links":0,"syntology":null},{"paper":null,"slug":"exploring-hierarchical-classification","title":"Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons","date":"2024-02-07","arxiv_id":"2402.05275","n_code_links":0,"syntology":null},{"paper":null,"slug":"employee-turnover-analysis-using-machine","title":"Employee Turnover Analysis Using Machine Learning Algorithms","date":"2024-02-06","arxiv_id":"2402.03905","n_code_links":0,"syntology":null},{"paper":null,"slug":"comparative-analysis-of-kinect-based-and","title":"Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator","date":"2024-02-04","arxiv_id":"2402.05248","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancement-of-a-text-independent-speaker","title":"Enhancement of a Text-Independent Speaker Verification System by using Feature Combination and Parallel-Structure Classifiers","date":"2024-01-26","arxiv_id":"2401.15018","n_code_links":0,"syntology":null},{"paper":null,"slug":"class-attribute-priors-adapting-optimization","title":"Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective","date":"2024-01-25","arxiv_id":"2401.14343","n_code_links":0,"syntology":null},{"paper":"/paper/smooth-ranking-svm-via-cutting-plane-method","slug":"smooth-ranking-svm-via-cutting-plane-method","title":"Smooth Ranking SVM via Cutting-Plane Method","date":"2024-01-25","arxiv_id":"2401.14388","n_code_links":1,"syntology":null},{"paper":null,"slug":"performance-analysis-of-support-vector","title":"Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection","date":"2024-01-23","arxiv_id":"2401.12924","n_code_links":0,"syntology":null},{"paper":null,"slug":"design-implementation-of-automatic-machine","title":"Design & Implementation of Automatic Machine Condition Monitoring and Maintenance System in Limited Resource Situations","date":"2024-01-22","arxiv_id":"2401.15088","n_code_links":0,"syntology":null},{"paper":"/paper/few-shot-learning-for-covid-19-chest-x-ray","slug":"few-shot-learning-for-covid-19-chest-x-ray","title":"Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study","date":"2024-01-18","arxiv_id":"2401.10129","n_code_links":1,"syntology":null},{"paper":null,"slug":"construction-and-evaluation-of-mandarin","title":"Construction and Evaluation of Mandarin Multimodal Emotional Speech Database","date":"2024-01-14","arxiv_id":"2401.07336","n_code_links":0,"syntology":null},{"paper":null,"slug":"diagnosing-epilepsy-using-entropy-measures","title":"Diagnosing epilepsy using entropy measures and embedding parameters of EEG signals","date":"2024-01-14","arxiv_id":"2401.07258","n_code_links":0,"syntology":null},{"paper":"/paper/depressionemo-a-novel-dataset-for-multilabel","slug":"depressionemo-a-novel-dataset-for-multilabel","title":"DepressionEmo: A novel dataset for multilabel classification of depression emotions","date":"2024-01-09","arxiv_id":"2401.04655","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-fast-graph-search-algorithm-with-dynamic","title":"A Fast Graph Search Algorithm with Dynamic Optimization and Reduced Histogram for Discrimination of Binary Classification Problem","date":"2024-01-08","arxiv_id":"2401.04282","n_code_links":0,"syntology":null},{"paper":null,"slug":"offline-handwriting-signature-verification-a","title":"Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach","date":"2024-01-05","arxiv_id":"2401.09467","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-computation-of-confidence-sets","title":"Efficient Computation of Confidence Sets Using Classification on Equidistributed Grids","date":"2024-01-03","arxiv_id":"2401.01804","n_code_links":0,"syntology":null},{"paper":null,"slug":"an-extended-asymmetric-sigmoid-with","title":"An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification","date":"2023-12-26","arxiv_id":"2312.16043","n_code_links":0,"syntology":null},{"paper":null,"slug":"on-support-vector-machines-under-a-multiple","title":"On support vector machines under a multiple-cost scenario","date":"2023-12-22","arxiv_id":"2312.14795","n_code_links":0,"syntology":null},{"paper":"/paper/decoding-concerns-multi-label-classification","slug":"decoding-concerns-multi-label-classification","title":"Decoding Concerns: Multi-label Classification of Vaccine Sentiments in Social Media","date":"2023-12-17","arxiv_id":"2312.10626","n_code_links":1,"syntology":null},{"paper":"/paper/exploring-multi-level-threats-in-telegram","slug":"exploring-multi-level-threats-in-telegram","title":"Exploring Multi-Level Threats in Telegram Data with AI-Human Annotation: A Preliminary Study","date":"2023-12-15","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":"/paper/optimization-meets-machine-learning-an-exact","slug":"optimization-meets-machine-learning-an-exact","title":"Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines","date":"2023-12-15","arxiv_id":"2312.09789","n_code_links":1,"syntology":null},{"paper":"/paper/multi-class-support-vector-machine-with","slug":"multi-class-support-vector-machine-with","title":"Multi-class Support Vector Machine with Maximizing Minimum Margin","date":"2023-12-11","arxiv_id":"2312.06578","n_code_links":1,"syntology":null},{"paper":null,"slug":"perceiving-university-student-s-opinions-from","title":"Perceiving University Student's Opinions from Google App Reviews","date":"2023-12-10","arxiv_id":"2312.06705","n_code_links":0,"syntology":null},{"paper":"/paper/gdn-a-stacking-network-used-for-skin-cancer","slug":"gdn-a-stacking-network-used-for-skin-cancer","title":"GDN: A Stacking Network Used for Skin Cancer Diagnosis","date":"2023-12-05","arxiv_id":"2312.02437","n_code_links":1,"syntology":null},{"paper":null,"slug":"a-comprehensive-literature-review-on-sweet","title":"A Comprehensive Literature Review on Sweet Orange Leaf Diseases","date":"2023-12-04","arxiv_id":"2312.01756","n_code_links":0,"syntology":null},{"paper":null,"slug":"anomaly-detection-under-uncertainty-using","title":"Anomaly Detection Under Uncertainty Using Distributionally Robust Optimization Approach","date":"2023-12-03","arxiv_id":"2312.01296","n_code_links":0,"syntology":null},{"paper":"/paper/revisiting-non-separable-binary","slug":"revisiting-non-separable-binary","title":"Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection","date":"2023-12-03","arxiv_id":"2312.01541","n_code_links":1,"syntology":null},{"paper":null,"slug":"easy-data-augmentation-in-sentiment-analysis","title":"Easy Data Augmentation in Sentiment Analysis of Cyberbullying","date":"2023-11-29","arxiv_id":"2312.03743","n_code_links":0,"syntology":null},{"paper":"/paper/machine-generated-text-detection-using-deep","slug":"machine-generated-text-detection-using-deep","title":"Machine-Generated Text Detection using Deep Learning","date":"2023-11-26","arxiv_id":"2311.15425","n_code_links":1,"syntology":null},{"paper":null,"slug":"support-vector-machine-implementation-on-mpi","title":"Support Vector Machine Implementation on MPI-CUDA and Tensorflow Framework","date":"2023-11-25","arxiv_id":"2311.14908","n_code_links":0,"syntology":null},{"paper":null,"slug":"touch-analysis-an-empirical-evaluation-of","title":"Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Data","date":"2023-11-23","arxiv_id":"2311.14195","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-compact-lstm-svm-fusion-model-for-long","title":"A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection","date":"2023-11-20","arxiv_id":"2312.09442","n_code_links":0,"syntology":null},{"paper":"/paper/which-ai-technique-is-better-to-classify","slug":"which-ai-technique-is-better-to-classify","title":"Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT","date":"2023-11-20","arxiv_id":"2311.11547","n_code_links":1,"syntology":null},{"paper":"/paper/how-false-data-affects-machine-learning","slug":"how-false-data-affects-machine-learning","title":"How False Data Affects Machine Learning Models in Electrochemistry?","date":"2023-11-17","arxiv_id":"2311.10795","n_code_links":1,"syntology":null},{"paper":"/paper/metasymnet-a-dynamic-symbolic-regression","slug":"metasymnet-a-dynamic-symbolic-regression","title":"MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions","date":"2023-11-13","arxiv_id":"2311.07326","n_code_links":1,"syntology":null},{"paper":null,"slug":"enhancing-malware-detection-by-integrating","title":"Enhancing Malware Detection by Integrating Machine Learning with Cuckoo Sandbox","date":"2023-11-07","arxiv_id":"2311.04372","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-novel-rna-pseudouridine-site-prediction","title":"A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters","date":"2023-11-02","arxiv_id":"2311.16132","n_code_links":0,"syntology":null},{"paper":null,"slug":"identifying-alzheimer-disease-dementia-levels","title":"Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods","date":"2023-11-02","arxiv_id":"2311.01428","n_code_links":0,"syntology":null},{"paper":null,"slug":"crop-disease-classification-using-support","title":"Crop Disease Classification using Support Vector Machines with Green Chromatic Coordinate (GCC) and Attention based feature extraction for IoT based Smart Agricultural Applications","date":"2023-11-01","arxiv_id":"2311.00429","n_code_links":0,"syntology":null},{"paper":null,"slug":"support-matrix-machine-a-review","title":"Support matrix machine: A review","date":"2023-10-30","arxiv_id":"2310.19717","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-epileptic-seizure-detection-with","title":"Enhancing Epileptic Seizure Detection with EEG Feature Embeddings","date":"2023-10-28","arxiv_id":"2310.18767","n_code_links":0,"syntology":null},{"paper":null,"slug":"t5-meets-tybalt-author-attribution-in-early","title":"T5 meets Tybalt: Author Attribution in Early Modern English Drama Using Large Language Models","date":"2023-10-27","arxiv_id":"2310.18454","n_code_links":0,"syntology":null},{"paper":null,"slug":"random-forest-dissimilarity-for-high","title":"Random Forest Kernel for High-Dimension Low Sample Size Classification","date":"2023-10-23","arxiv_id":"2310.14710","n_code_links":0,"syntology":null},{"paper":"/paper/multi-camera-trajectory-matching-based-on","slug":"multi-camera-trajectory-matching-based-on","title":"Multi‑camera trajectory matching based on hierarchical clustering and constraints","date":"2023-10-19","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"improving-video-deepfake-detection-a-dct","title":"Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis","date":"2023-10-17","arxiv_id":"2310.11204","n_code_links":0,"syntology":null},{"paper":"/paper/machine-learning-in-the-quantum-age-quantum","slug":"machine-learning-in-the-quantum-age-quantum","title":"Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines","date":"2023-10-17","arxiv_id":"2310.10910","n_code_links":1,"syntology":null},{"paper":null,"slug":"svm-based-multiclass-classifier-for-gait","title":"SVM based Multiclass Classifier for Gait phase Classification using Shank IMU Sensor","date":"2023-10-15","arxiv_id":"2310.09728","n_code_links":0,"syntology":null},{"paper":"/paper/protecting-voice-controlled-devices-against","slug":"protecting-voice-controlled-devices-against","title":"Protecting Voice-Controlled Devices against LASER Injection Attacks","date":"2023-10-13","arxiv_id":"2310.09404","n_code_links":1,"syntology":null},{"paper":null,"slug":"divorce-prediction-with-machine-learning","title":"Divorce Prediction with Machine Learning: Insights and LIME Interpretability","date":"2023-10-12","arxiv_id":"2310.08620","n_code_links":0,"syntology":null},{"paper":null,"slug":"towards-demystifying-the-generalization","title":"Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges","date":"2023-10-12","arxiv_id":"2310.08358","n_code_links":0,"syntology":null},{"paper":null,"slug":"augmenting-vision-based-human-pose-estimation","title":"Augmenting Vision-Based Human Pose Estimation with Rotation Matrix","date":"2023-10-09","arxiv_id":"2310.06068","n_code_links":0,"syntology":null},{"paper":null,"slug":"cost-sensitive-probabilistic-predictions-for","title":"Cost-sensitive probabilistic predictions for support vector machines","date":"2023-10-09","arxiv_id":"2310.05997","n_code_links":0,"syntology":null},{"paper":"/paper/addressing-detection-of-left-bundle-branch","slug":"addressing-detection-of-left-bundle-branch","title":"Addressing detection of left bundle branch block by means of electrocardiogram’s signals using Machine Learning algorithms","date":"2023-10-07","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":null,"slug":"unit-commitment-predictor-with-a-performance","title":"Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier","date":"2023-10-07","arxiv_id":"2310.08601","n_code_links":0,"syntology":null},{"paper":null,"slug":"enhancing-ayurvedic-diagnosis-using","title":"Enhancing Ayurvedic Diagnosis using Multinomial Naive Bayes and K-modes Clustering: An Investigation into Prakriti Types and Dosha Overlapping","date":"2023-10-04","arxiv_id":"2310.02920","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficient-training-of-one-class","title":"Efficient Training of One Class Classification-SVMs","date":"2023-09-28","arxiv_id":"2309.16745","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-learning-based-analytics-for-the","title":"Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries","date":"2023-09-27","arxiv_id":"2309.15990","n_code_links":0,"syntology":null},{"paper":null,"slug":"samn-a-sample-attention-memory-network","title":"SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture","date":"2023-09-25","arxiv_id":"2309.13930","n_code_links":0,"syntology":null},{"paper":null,"slug":"object-classification-model-using-ensemble","title":"Object Classification Model Using Ensemble Learning with Gray-Level Co-Occurrence Matrix and Histogram Extraction","date":"2023-09-24","arxiv_id":"2309.13512","n_code_links":0,"syntology":null},{"paper":null,"slug":"generating-hierarchical-structures-for","title":"Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions","date":"2023-09-21","arxiv_id":"2309.11963","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-model-based-machine-learning-approach-for","title":"A Model-Based Machine Learning Approach for Assessing the Performance of Blockchain Applications","date":"2023-09-20","arxiv_id":"2309.11205","n_code_links":0,"syntology":null},{"paper":"/paper/early-diagnosis-of-autism-spectrum-disorder","slug":"early-diagnosis-of-autism-spectrum-disorder","title":"An Evaluation of Machine Learning Approaches for Early Diagnosis of Autism Spectrum Disorder","date":"2023-09-20","arxiv_id":"2309.11646","n_code_links":1,"syntology":null},{"paper":null,"slug":"dppack-an-r-package-for-differentially","title":"DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning","date":"2023-09-19","arxiv_id":"2309.10965","n_code_links":0,"syntology":null},{"paper":null,"slug":"proposition-from-the-perspective-of-chinese","title":"Proposition from the Perspective of Chinese Language: A Chinese Proposition Classification Evaluation Benchmark","date":"2023-09-18","arxiv_id":"2309.09602","n_code_links":0,"syntology":null},{"paper":null,"slug":"personality-profiling-how-informative-are","title":"Personality Profiling: How informative are social media profiles in predicting personal information?","date":"2023-09-15","arxiv_id":"2309.13065","n_code_links":0,"syntology":null}],"record_sha256":"b53ac1c05b8b0aee443eaa4c989346df6e44034cacb00a19415531f5dfaf0389","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}