Alessandro Ghio
Artificial Intelligence · 2012–2013
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Statistics and Probability — 5 citations into it
Whom Alessandro Ghio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Yuhai Wu
- Jennifer R. Kwapisz
- Corinna Cortes
- Ron Kohavi
- Thomas G. Dietterich
- Vladimir Naumovich Vapnik
- Ryan M. Rifkin
- Andrea Mannini
- Jhun-Ying Yang
Who trusts Alessandro Ghio overall
- Wenchao Jiang
- Arjun Nitin Bhagoji
- Jihun Hamm
- Jorge Luis Reyes-Ortiz
- Mohammad Mehedi Hassan
- Vivek Sharma
- Jiachun Liao
- Abdulmajid Murad
- Sumit Majumder
- Luca Corinzia
Papers from Alessandro Ghio's perspective
Ordered by how strongly the researchers Alessandro Ghio trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Support-Vector Networks
- Activity Recognition from User-Annotated Acceleration Data
- Statistical Learning Theory
- Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
- Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
- Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
- Activity recognition using cell phone accelerometers (SKDD)
- Activity Recognition from Accelerometer Data on a Mobile Phone (International Work-Conference on Artificial and Natural Neural Networks)
- Comparison of learning algorithms for handwritten digit recognition
Their papers
- Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine (2012) — 982 citations
- A Public Domain Dataset for Human Activity Recognition using Smartphones (2013) — 2,591 citations
- The 'K' in K-fold Cross Validation (2012) — 367 citations