Angelo Spognardi
Artificial Intelligence · 2013–2017
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #32,576 of 35,345 by trust here, #9,275 by citations
- Information Systems — 36 citations into it; #5,875 of 8,771 by trust here, #4,012 by citations
- Computer Networks and Communications — 34 citations into it
- Signal Processing — 19 citations into it; #7,295 of 7,572 by trust here, #5,570 by citations
- Statistics and Probability — 9 citations into it
- Natural Language Processing — 8 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Angelo Spognardi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kai-Fu Lee
- Lawrence R. Rabiner
- Jianhua Lin
- Ypke Hiemstra
- Eric R. Ziegel
- Chao Yang
- Daniel Lowd
- Chih-Jen Lin
- Stijn van Dongen
- K. Gwet
Who trusts Angelo Spognardi overall
Papers from Angelo Spognardi's perspective
Ordered by how strongly the researchers Angelo Spognardi trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBSVM: A library for support vector machines
- A tutorial on hidden Markov models and selected applications in speech recognition
- The Elements of Statistical Learning
- C4.5: Programs for Machine Learning
- A Tutorial on Support Vector Machines for Pattern Recognition
- Calibrating Noise to Sensitivity in Private Data Analysis
- BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- An Introduction to Variable and Feature Selection
Their papers
- Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers (2013) — 494 citations
- The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race (2017) — 522 citations
- Fame for sale: Efficient detection of fake Twitter followers (2015) — 460 citations
- No NAT'd User Left Behind: Fingerprinting Users behind NAT from NetFlow Records Alone (2014) — 51 citations