:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Nagar, Sandeep, Farahbakhsh, Ehsan, Awange, Joseph, Chandra, Rohitash
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2404.02180
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
di: Gurjar, Yadvendra, et al.
Pubblicazione: (2025)

Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
di: Farahbakhsh, Ehsan, et al.
Pubblicazione: (2025)

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
di: Panat, Tanay, et al.
Pubblicazione: (2025)

Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
di: Kulkarni, Omkar, et al.
Pubblicazione: (2024)

Bayesian neural networks via MCMC: a Python-based tutorial
di: Chandra, Rohitash, et al.
Pubblicazione: (2023)

Recursive deep learning framework for forecasting the decadal world economic outlook
di: Wang, Tianyi, et al.
Pubblicazione: (2023)

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
di: Kapoor, Arpit, et al.
Pubblicazione: (2025)

Fast & Efficient Normalizing Flows and Applications of Image Generative Models
di: Nagar, Sandeep
Pubblicazione: (2025)

Extreme value forecasting using relevance-based data augmentation with deep learning models
di: Hua, Junru, et al.
Pubblicazione: (2025)

Spatiotemporal deep learning models for detection of rapid intensification in cyclones
di: Sutar, Vamshika, et al.
Pubblicazione: (2025)

DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
di: Kulkarni, Omkar, et al.
Pubblicazione: (2025)

Compact Bayesian Neural Networks via pruned MCMC sampling
di: Deo, Ratneel, et al.
Pubblicazione: (2025)

tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
di: Ibenegbu, Amuche, et al.
Pubblicazione: (2026)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
di: Forouzandeh, Saman, et al.
Pubblicazione: (2025)

A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
di: Ibenegbu, Amuche, et al.
Pubblicazione: (2025)

Remote sensing data imputation using deep learning for multispectral imagery
di: Liua, Shuang, et al.
Pubblicazione: (2026)

Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders
di: Islam, Md Maidul, et al.
Pubblicazione: (2023)

Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness
di: Berezin, Sergei, et al.
Pubblicazione: (2025)

Quantile deep learning models for multi-step ahead time series prediction
di: Cheung, Jimmy, et al.
Pubblicazione: (2024)

Scaling and evaluating sparse autoencoders
di: Gao, Leo, et al.
Pubblicazione: (2024)

PRISM-CAFO: Prior-conditioned Remote-sensing Infrastructure Segmentation and Mapping for CAFOs
di: Hoque, Oishee Bintey, et al.
Pubblicazione: (2026)

Variational autoencoder-based neural network model compression
di: Cheng, Liang, et al.
Pubblicazione: (2024)

Applying sparse autoencoders to unlearn knowledge in language models
di: Farrell, Eoin, et al.
Pubblicazione: (2024)

Steering CLIP's vision transformer with sparse autoencoders
di: Joseph, Sonia, et al.
Pubblicazione: (2025)

Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders
di: Kumar, Sayantan, et al.
Pubblicazione: (2026)

Towards efficient deep autoencoders for multivariate time series anomaly detection
di: Pietroń, Marcin, et al.
Pubblicazione: (2024)

Progressive Rock Music Classification
di: Nagar, Arpan, et al.
Pubblicazione: (2025)

Deep learning framework for crater detection and identification on the Moon and Mars
di: Ma, Yihan, et al.
Pubblicazione: (2025)

Discretization of continuous input spaces in the hippocampal autoencoder
di: Amil, Adrian F., et al.
Pubblicazione: (2024)

Multi-view autoencoders for Fake News Detection
di: Pereira, Ingryd V. S. T., et al.
Pubblicazione: (2025)

Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
di: Georgiev, Dimitar, et al.
Pubblicazione: (2024)

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering
di: Wu, Fangzhou, et al.
Pubblicazione: (2026)

Metabolic cost of information processing in Poisson variational autoencoders
di: Vafaii, Hadi, et al.
Pubblicazione: (2026)

Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation
di: Rodis, Panteleimon
Pubblicazione: (2026)

AIMM: An AI-Driven Multimodal Framework for Detecting Social-Media-Influenced Stock Market Manipulation
di: Neela, Sandeep
Pubblicazione: (2025)

Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
di: Kunde, Vishnu Teja, et al.
Pubblicazione: (2026)

Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
di: Akhtar, Sheikh Waqas
Pubblicazione: (2024)

Can sparse autoencoders be used to decompose and interpret steering vectors?
di: Mayne, Harry, et al.
Pubblicazione: (2024)

Inferring response times of perceptual decisions with Poisson variational autoencoders
di: Johnson, Hayden R., et al.
Pubblicazione: (2025)

Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
di: Mohammadi, Hadi, et al.
Pubblicazione: (2025)