Imagen de Portada

Air Pollution Forecasting in Bucharest

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Şerban, Dragoş-Andrei, Smădu, Răzvan-Alexandru, Cercel, Dumitru-Clementin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computers and Society Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
por: Dima, George-Andrei, et al.
Publicado: (2025)

RoLegalGEC: Legal Domain Grammatical Error Detection and Correction Dataset for Romanian
por: Timpuriu, Mircea, et al.
Publicado: (2026)

MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
por: Smădu, Răzvan-Alexandru, et al.
Publicado: (2025)

Enhancing Project Performance Forecasting using Machine Learning Techniques
por: Sadeghi, Soheila
Publicado: (2024)

GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
por: Crăciun, Cristian-George, et al.
Publicado: (2024)

Multimodal Learning with Augmentation Techniques for Natural Disaster Assessment
por: Urse, Adrian-Dinu, et al.
Publicado: (2025)

SeLeRoSa: Sentence-Level Romanian Satire Detection Dataset
por: Smădu, Răzvan-Alexandru, et al.
Publicado: (2025)

Next-Generation Conflict Forecasting: Unleashing Predictive Patterns through Spatiotemporal Learning
por: von der Maase, Simon P.
Publicado: (2025)

SaRoHead: Detecting Satire in a Multi-Domain Romanian News Headline Dataset
por: Vîrlan, Mihnea-Alexandru, et al.
Publicado: (2025)

Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
por: Castañeira, Josu Eguiluz, et al.
Publicado: (2025)

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
por: Bhagat, Sudesh, et al.
Publicado: (2025)

United States Road Accident Prediction using Random Forest Predictor
por: Yamarthi, Dominic Parosh, et al.
Publicado: (2025)

Learning Disease Progression Models That Capture Health Disparities
por: Chiang, Erica, et al.
Publicado: (2024)

OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
por: Grari, Vincent, et al.
Publicado: (2024)

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
por: Hardy, Michael, et al.
Publicado: (2026)

Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
por: Smădu, Răzvan-Alexandru, et al.
Publicado: (2024)

A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition
por: Ion, David-Gabriel, et al.
Publicado: (2024)

Auditing Fairness by Betting
por: Chugg, Ben, et al.
Publicado: (2023)

Enhancing Romanian Offensive Language Detection through Knowledge Distillation, Multi-Task Learning, and Data Augmentation
por: Matei, Vlad-Cristian, et al.
Publicado: (2024)

Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
por: Hang, Haotian, et al.
Publicado: (2025)

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
por: Hu, Yuxiao, et al.
Publicado: (2023)

IGAff: Benchmarking Adversarial Iterative and Genetic Affine Algorithms on Deep Neural Networks
por: Echim, Sebastian-Vasile, et al.
Publicado: (2025)

Adapting Probabilistic Risk Assessment for AI
por: Wisakanto, Anna Katariina, et al.
Publicado: (2025)

RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams
por: Man, Andrei Vlad, et al.
Publicado: (2025)

RoCoISLR: A Romanian Corpus for Isolated Sign Language Recognition
por: Rîpanu, Cătălin-Alexandru, et al.
Publicado: (2025)

Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
por: Yin, Kai, et al.
Publicado: (2023)

Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
por: Abrar, Saad Mohammad, et al.
Publicado: (2024)

Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
por: Mishra, Anurag, et al.
Publicado: (2024)

Forecasting mortality associated emergency department crowding
por: Nevanlinna, Jalmari, et al.
Publicado: (2024)

FreDF: Learning to Forecast in the Frequency Domain
por: Wang, Hao, et al.
Publicado: (2024)

Causal Links Between Anthropogenic Emissions and Air Pollution Dynamics in Delhi
por: Das, Sourish, et al.
Publicado: (2025)

AI for Anticipatory Action: Moving Beyond Climate Forecasting
por: Huynh, Benjamin Q., et al.
Publicado: (2023)

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
por: Zhou, Han, et al.
Publicado: (2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting
por: Gao, Jiaxin, et al.
Publicado: (2024)

Assessing the Operational Viability of Foundation Models for Time Series Forecasting
por: Soni, Kavin, et al.
Publicado: (2026)

Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
por: Zhang, Hanyu, et al.
Publicado: (2024)

Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
por: Ehsani, Sina, et al.
Publicado: (2024)

A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models
por: Olivares, Kin G., et al.
Publicado: (2025)

Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
por: Onibonoje, Oluwadurotimi, et al.
Publicado: (2025)

Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
por: Jahan, Nourin, et al.
Publicado: (2026)