Nicola Botta

Artificial Intelligence · 2001–2022

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Signal Processing — 8 citations into it
• Statistics and Probability — 8 citations into it

Whom Nicola Botta trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zavisa I. Janjic
2. Bernhard Schölkopf
3. Jan S. Hesthaven
4. Rfdo 2XWOLHUV

Papers from Nicola Botta's perspective

Ordered by how strongly the researchers Nicola Botta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Visualizing Data using t-SNE
2. Estimating the Support of a High-Dimensional Distribution
3. LOF: identifying density-based local outliers
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Anomaly detection: A survey
7. LOCI: fast outlier detection using the local correlation integral (Proceedings / International Conference on Data Engineering)
8. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Discovering cluster-based local outliers (Pattern Recognition Letters)

Their papers

• ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions (2022) — 500 citations
• COPOD: Copula-Based Outlier Detection (2020) — 434 citations
• Well balanced finite volume methods for nearly hydrostatic flows (2004) — 168 citations
• Asymptotic adaptive methods for multi-scale problems in fluid mechanics (2001) — 179 citations