Ali Seyed Shirkhorshidi
Signal Processing · 2015
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 33 citations into it; #5,899 of 7,572 by trust here, #5,086 by citations
- Artificial Intelligence — 30 citations into it; #27,929 of 35,345 by trust here, #25,040 by citations
- Economics and Econometrics — 10 citations into it; #17,911 of 23,481 by trust here, #16,755 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Statistics and Probability — 6 citations into it
Whom Ali Seyed Shirkhorshidi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Jiawei Han
- Rui Xu
- Jorge M. Santos
- Guojun Gan
- Anil K. Jain
- Haixun Wang
- T. Warren Liao
- Daxin Jiang
- Saeed Reza Aghabozorgi
Who trusts Ali Seyed Shirkhorshidi overall
Papers from Ali Seyed Shirkhorshidi's perspective
Ordered by how strongly the researchers Ali Seyed Shirkhorshidi trusts endorse each paper. Same corpus, a different order for every researcher.
- Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
- Some methods for classification and analysis of multivariate observations
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
- Fast Time Sequence Indexing for Arbitrary Lp Norms (Very Large Data Bases Conference)
- Towards parameter-free data mining (Knowledge Discovery and Data Mining)
- On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
- Data clustering: a review
- Data Mining - Concepts and Techniques (Künstliche Intell.)
- Similarity search over time-series data using wavelets (Proceedings / International Conference on Data Engineering)
- Data Mining: Concepts and Techniques
Their papers
- Time-series clustering - A decade review (2015) — 1,740 citations
- A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data (2015) — 380 citations