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Jim Torresen

Jim Torresen

D-Index & Metrics

Computer Science

D-Index
37
Citations
5785
World Ranking
10762
National Ranking
35

Overview

Jim Torresen is affiliated with the University of Oslo in Norway and is active in the fields of engineering and computer science. Their research contributions span multiple subfields, including computer vision and pattern recognition, artificial intelligence, cognitive neuroscience, biomedical engineering, and experimental and cognitive psychology.

The scientist's recent publications reflect a focus on robotics, machine learning applications in healthcare, and human activity recognition. Notable papers include:

  • "Real-world embodied AI through a morphologically adaptive quadruped robot", 2021, Nature Machine Intelligence
  • "Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls", 2020, PLoS ONE
  • "Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs", 2020, ACM Transactions on Multimedia Computing Communications and Applications
  • "On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls", 2021, Frontiers in Human Dynamics
  • "Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning", 2021, IEEE Access

Torresen's research topics cover a variety of areas, including:

  • Mental health research topics
  • Bipolar disorder and treatment
  • Music technology and sound studies
  • Human motion and animation
  • Reinforcement learning in robotics
  • Social robot interaction and human-robot interaction (HRI)
  • Human pose and action recognition

Frequent co-authors in Torresen's work are:

  • Charles Martín
  • Tine Nordgreen
  • Petter Jakobsen
  • Ulysse Côté-Allard
  • Ole Bernt Fasmer

Torresen has published extensively across various scientific venues, including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • PLoS ONE
  • Frontiers in Robotics and AI

Best Publications

  • Mental health monitoring with multimodal sensing and machine learning: A survey

    Enrique Garcia-Ceja;Michael Riegler;Tine Nordgreen;Tine Nordgreen;Petter Jakobsen;Petter Jakobsen

  • FPGASort: a high performance sorting architecture exploiting run-time reconfiguration on fpgas for large problem sorting

    Dirk Koch;Jim Torresen

  • A Review of Future and Ethical Perspectives of Robotics and AI

    Jim Torresen

  • Go Ahead: A Partial Reconfiguration Framework

    Christian Beckhoff;Dirk Koch;Jim Torresen

  • Ambient Sensors for Elderly Care and Independent Living: A Survey.

    Md. Zia Uddin;Weria Khaksar;Jim Torresen

  • A Divide-and-Conquer Approach to Evolvable Hardware

    Jim Torresen

  • Efficient recognition of speed limit signs

    J. Torresen;J.W. Bakke;L. Sekanina

  • A Survey of Self-Awareness and Its Application in Computing Systems

    Peter R. Lewis;Arjun Chandra;Shaun Parsons;Edward Robinson

  • The Xilinx Design Language (XDL): Tutorial and use cases

    Christian Beckhoff;Dirk Koch;Jim Torresen

  • Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities

    Kazi Shah Nawaz Ripon;Kyrre Glette;Kashif Nizam Khan;Mats Hovin

  • A facial expression recognition system using robust face features from depth videos and deep learning

    Md. Zia Uddin;Mohammed Mehedi Hassan;Ahmad Almogren;Mansour Zuair

  • Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients

    Enrique Garcia-Ceja;Michael Riegler;Petter Jakobsen;Jim Tørresen

  • Facial Expression Recognition Using Salient Features and Convolutional Neural Network

    Md. Zia Uddin;Weria Khaksar;Jim Torresen

  • Self-aware Computing Systems: An Engineering Approach

    Peter R. Lewis;Marco Platzner;Bernhard Rinner;Jim Trresen

  • High Speed Partial Run-Time Reconfiguration Using Enhanced ICAP Hard Macro

    Simen Gimle Hansen;Dirk Koch;Jim Torresen

  • Real-world embodied AI through a morphologically adaptive quadruped robot

    Tønnes Nygaard;Tønnes Nygaard;Charles Patrick Martin;Jim Torresen;Kyrre Glette

  • Architectural Aspects of Self-Aware and Self-Expressive Computing Systems: From Psychology to Engineering

    Peter R. Lewis;Arjun Chandra;Funmilade Faniyi;Kyrre Glette

  • A Scalable Approach to Evolvable Hardware

    Jim Torresen

  • Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

    Petter Jakobsen;Petter Jakobsen;Enrique Garcia-Ceja;Michael Riegler;Lena Antonsen Stabell;Lena Antonsen Stabell

  • A flexible on-chip evolution system implemented on a xilinx Virtex-II pro device

    Kyrre Glette;Jim Torresen

  • An Evolvable Hardware Tutorial

    Jim Torresen

  • An Online EHW Pattern Recognition System Applied to Face Image Recognition

    Kyrre Glette;Jim Torresen;Moritoshi Yasunaga

  • Evolving multiplier circuits by training set and training vector partitioning

    Jim Torresen

Frequent Co-Authors

Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Ole Bernt Fasmer
Ole Bernt Fasmer University of Bergen
Xin Yao
Xin Yao Lingnan University
Magnar Bjørås
Magnar Bjørås Norwegian University of Science and Technology
Alexandru Telea
Alexandru Telea Utrecht University
Okyay Kaynak
Okyay Kaynak Boğaziçi University
Bernhard Rinner
Bernhard Rinner University of Klagenfurt
Andy M. Tyrrell
Andy M. Tyrrell University of York
Erdal Kayacan
Erdal Kayacan Aarhus University
Kheng Lee Koay
Kheng Lee Koay University of Hertfordshire

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