AI Research

AI & ML Research Papers

A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.

All Papers

2 papers

Preprint2026

Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity

Hongnan Ma, Yiwei Shi, Mengyue Yang, et al.

Introduces TimePNS, a necessity-aware framework for time-series explanation that uses counterfactual interventions to identify subsequences essential for model predictions.

0Jul 23, 2026Benchmarks

arXiv

JournalIEEE Access2021

Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines

Kukjin Choi, Jihun Yi, Changhwa Park, et al.

This paper reviews deep learning methods for anomaly detection in multivariate time-series data, analyzes state-of-the-art models on benchmarks, and provides guidelines for model selection and training.

555Jan 1, 2021Benchmarks