:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Sayyadpour, Minoo, Moghaddamniya, Nasibe, Banirostam, Touraj
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Artificial Intelligence Computers and Society
Accesso online:	https://arxiv.org/abs/2401.00883
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automated Feedback in Math Education: A Comparative Analysis of LLMs for Open-Ended Responses
di: Baral, Sami, et al.
Pubblicazione: (2024)

A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework
di: Ahmadi, Arash, et al.
Pubblicazione: (2024)

A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
di: Semsar, Samin, et al.
Pubblicazione: (2026)

Revolutionising Distance Learning: A Comparative Study of Learning Progress with AI-Driven Tutoring
di: Möller, Moritz, et al.
Pubblicazione: (2024)

Unified Uncertainty Estimation for Cognitive Diagnosis Models
di: Wang, Fei, et al.
Pubblicazione: (2024)

Use Sparse Autoencoders to Discover Unknown Concepts, Not to Act on Known Concepts
di: Peng, Kenny, et al.
Pubblicazione: (2025)

Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
di: Shen, Junhao, et al.
Pubblicazione: (2023)

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
di: Zhang, Miao, et al.
Pubblicazione: (2024)

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial
di: Yang, Fulai, et al.
Pubblicazione: (2024)

CycleResearcher: Improving Automated Research via Automated Review
di: Weng, Yixuan, et al.
Pubblicazione: (2024)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
di: Ma, Shih-Chi, et al.
Pubblicazione: (2024)

Artificial Intelligence Ecosystem for Automating Self-Directed Teaching
di: Gotavade, Tejas Satish
Pubblicazione: (2024)

Forecasting Energy Consumption using Recurrent Neural Networks: A Comparative Analysis
di: Maity, Abhishek, et al.
Pubblicazione: (2026)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
di: Trask, Thomas, et al.
Pubblicazione: (2024)

A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
di: Tertulino, Rodrigo
Pubblicazione: (2025)

BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
di: Shiferaw, Natenaile Asmamaw, et al.
Pubblicazione: (2024)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
di: Liu, Shuo, et al.
Pubblicazione: (2025)

Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML
di: Ganesh, Prakhar, et al.
Pubblicazione: (2024)

EigenBench: A Comparative Behavioral Measure of Value Alignment
di: Chang, Jonathn, et al.
Pubblicazione: (2025)

Auto311: A Confidence-guided Automated System for Non-emergency Calls
di: Chen, Zirong, et al.
Pubblicazione: (2023)

Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support
di: Mahajan, Anubha, et al.
Pubblicazione: (2024)

Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
di: Asiedu, Mercy Nyamewaa, et al.
Pubblicazione: (2023)

Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
di: Radmehr, Bahar, et al.
Pubblicazione: (2024)

Case Studies of AI Policy Development in Africa
di: Diallo, Kadijatou, et al.
Pubblicazione: (2024)

Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives
di: Asiedu, Mercy Nyamewaa, et al.
Pubblicazione: (2024)

How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers
di: Menke, Antonio-Gabriel Chacón, et al.
Pubblicazione: (2025)

Fair CCA for Fair Representation Learning: An ADNI Study
di: Hou, Bojian, et al.
Pubblicazione: (2025)

Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments
di: Maria, Glinskaya
Pubblicazione: (2026)

Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
di: Deho, Oscar Blessed, et al.
Pubblicazione: (2024)

Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
di: Dascalescu, Stefan, et al.
Pubblicazione: (2025)

Evaluating Federated Learning for At-Risk Student Prediction: A Comparative Analysis of Model Complexity and Data Balancing
di: Tertulino, Rodrigo, et al.
Pubblicazione: (2025)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
di: Paxton, Kuniko, et al.
Pubblicazione: (2025)

Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
di: Hou, Ruikun, et al.
Pubblicazione: (2024)

FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
di: Li, Siqi, et al.
Pubblicazione: (2024)

KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
di: Coscia, Adam, et al.
Pubblicazione: (2024)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
di: Zhang, Liang, et al.
Pubblicazione: (2024)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
di: Zhu, Zhaowei, et al.
Pubblicazione: (2023)

Machine Learning-Based Cloud Computing Compliance Process Automation
di: Wang, Yuqing, et al.
Pubblicazione: (2025)

Automated Toll Management System Using RFID and Image Processing
di: Ahmed, Raihan, et al.
Pubblicazione: (2024)

Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
di: Duan, Zhangqi, et al.
Pubblicazione: (2025)