Stefano Lonardi

Signal Processing · Knowledge Discovery and Data Mining · 2002–2007

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 71 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 22 citations into it; #304 of 7,572 by trust here, #575 by citations
• Artificial Intelligence — 14 citations into it; #4,910 of 35,345 by trust here, #10,207 by citations
• Economics and Econometrics — 8 citations into it; #1,640 of 23,481 by trust here, #3,225 by citations
• Molecular Biology — 8 citations into it
• Computer Networks and Communications — 5 citations into it; #1,672 of 9,886 by trust here, #4,757 by citations

Whom Stefano Lonardi trusts overall

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

1. Eamonn J. Keogh
2. Jeremy D. Buhler
3. Konstantinos Kalpakis
4. Jessica Lin
5. Charles Peter Elkan
6. Michail Vlachos
7. Kaushik Chakrabarti
8. Byoung-Kee Yi
9. Xin Chen
10. Chotirat (Ann) Ratanamahatana

Who trusts Stefano Lonardi overall

1. Jessica Lin
2. Charu C. Aggarwal
3. Eamonn J. Keogh
4. Varun Chandola
5. Tak-Chung Fu
6. Manish Gupta
7. Pablo Montero
8. Rudi Cilibrasi
9. Arindam Banerjee
10. Saeed Reza Aghabozorgi

Papers from Stefano Lonardi's perspective

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

1. Fast Time Sequence Indexing for Arbitrary Lp Norms (Very Large Data Bases Conference)
2. Using Dynamic Time Warping to Find Patterns in Time Series
3. Finding Motifs Using Random Projections (Annual International Conference on Research in Computational Molecular Biology)
4. Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
5. Locally adaptive dimensionality reduction for indexing large time series databases (ACM SIGMOD Conference)
6. Clustering data streams (Proceedings 41st Annual Symposium on Foundations of Computer Science)
7. A compression algorithm for DNA sequences and its applications in genome comparison (Annual International Conference on Research in Computational Molecular Biology)
8. Language trees and zipping. (Physical Review Letters)
9. Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
10. An information-based sequence distance and its application to whole mitochondrial genome phylogeny (Bioinform.)

Their papers

• Towards parameter-free data mining (2004) — 662 citations
• Experiencing SAX: a novel symbolic representation of time series (2007) — 1,732 citations
• A symbolic representation of time series, with implications for streaming algorithms (2003) — 2,169 citations
• Probabilistic discovery of time series motifs (2003) — 667 citations
• Finding surprising patterns in a time series database in linear time and space (2002) — 480 citations