Martin Gjoreski

Experimental and Cognitive Psychology · 2009–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Gjoreski trusts overall

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

  1. Rosalind W. Picard
  2. Jennifer A. Healey
  3. Akane Sano
  4. David William Aha
  5. R. Caruana
  6. Karen Hovsepian
  7. Rui Wang
  8. Dennis F. Kibler
  9. Alexandru Niculescu-Mizil

Who trusts Martin Gjoreski overall

  1. Shruti Gedam
  2. Yekta Said Can

Papers from Martin Gjoreski's perspective

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

  1. Detecting stress during real-world driving tasks using physiological sensors (IEEE transactions on intelligent transportation systems (Print))
  2. Stress Recognition Using Wearable Sensors and Mobile Phones (2013 Humaine Association Conference on Affective Computing and Intelligent Interaction)
  3. Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables (Annual International Conference of the IEEE Engineering in Medicine and Biology Society)
  4. Instance-based learning algorithms
  5. StressSense: detecting stress in unconstrained acoustic environments using smartphones (Ubiquitous Computing)
  6. The Montreal Imaging Stress Task: using functional imaging to investigate the effects of perceiving and processing psychosocial stress in the human brain. (Journal of Psychiatry & Neuroscience)
  7. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. (Psychological bulletin)
  8. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  9. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones (Ubiquitous Computing)
  10. Ensemble selection from libraries of models

Their papers