Özlem Durmaz Incel
Computer Vision and Pattern Recognition · 2012–2016
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it; #19,988 of 21,575 by trust here, #13,815 by citations
- Computer Networks and Communications — 16 citations into it; #8,444 of 9,886 by trust here, #7,140 by citations
- Electrical and Electronic Engineering — 11 citations into it
Whom Özlem Durmaz Incel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pradeep Kyasanur
- Bhaskar Krishnamachari
- Tamer A. ElBatt
- Nitin H. Vaidya
- Anthony Ephremides
- Deborah Estrin
- Muhammad Shoaib
- Hong Lu
- Mark A. Hall
- Nicholas Donald Lane
Who trusts Özlem Durmaz Incel overall
Papers from Özlem Durmaz Incel's perspective
Ordered by how strongly the researchers Özlem Durmaz Incel trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity Recognition from User-Annotated Acceleration Data
- Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application (ACM International Conference on Embedded Networked Sensor Systems)
- Activity sensing in the wild: a field trial of ubifit garden (International Conference on Human Factors in Computing Systems)
- Analyzing features for activity recognition (sOc-EUSAI '05)
- Hierarchical control of multiple resources in distributed real-time and embedded systems (Euromicro Conference on Real-Time Systems)
- The WEKA data mining software: an update
- A framework of energy efficient mobile sensing for automatic user state recognition (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
- A Survey on Human Activity Recognition using Wearable Sensors (IEEE Communications Surveys and Tutorials)
- Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
- Using mobile phones to determine transportation modes (TOSN)
Their papers
- A Survey of Online Activity Recognition Using Mobile Phones (2015) — 501 citations
- Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors (2016) — 420 citations
- Fusion of Smartphone Motion Sensors for Physical Activity Recognition (2014) — 557 citations
- Fast Data Collection in Tree-Based Wireless Sensor Networks (2012) — 320 citations