World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
68
Citations
20487
World Ranking
2065
National Ranking
1045

Overview

Fernando De la Torre is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields, primarily focused on biochemistry, genetics, molecular biology, and computer science. Their work encompasses both applied and theoretical studies, integrating aspects of molecular biology with artificial intelligence methodologies.

They have contributed substantially to several specific subfields, including:

  • Molecular Biology
  • Plant Science
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Neurology

The main topics covered in their research reflect a diverse range of interests, with a strong emphasis on plant biochemistry, gene expression, and neurological disorders. Key topics include:

  • Plant biochemistry and biosynthesis
  • Plant Gene Expression Analysis
  • Horticultural and Viticultural Research
  • Adversarial Robustness in Machine Learning
  • Neurological disorders and treatments
  • Parkinson's Disease Mechanisms and Treatments
  • Advanced Sensor and Energy Harvesting Materials

Their recent published papers illustrate this breadth of focus. Notable works include:

  • Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers, 2020, Sensors
  • Transcriptional analysis of arogenate dehydratase genes identifies a link between phenylalanine biosynthesis and lignin biosynthesis, 2020, Journal of Experimental Botany
  • Deregulation of phenylalanine biosynthesis evolved with the emergence of vascular plants, 2021, PLANT PHYSIOLOGY
  • Enzymes Involved in the Biosynthesis of Arginine from Ornithine in Maritime Pine (Pinus pinaster Ait.), 2020, Plants
  • Special Issue Editorial: Plant Nitrogen Assimilation and Metabolism, 2021, Plants

Frequent co-authors collaborating with De la Torre demonstrate interdisciplinary cooperation. These include:

  • Concepción Ávila
  • Francisco M. Cánovas
  • Jorge El-Azaz
  • Jinqi Luo
  • Stanislav Panev

Research outputs have often been published in venues such as:

  • arXiv (Cornell University)
  • Plants
  • Sensors
  • Journal of Experimental Botany
  • PLANT PHYSIOLOGY

Best Publications

  • Supervised Descent Method and Its Applications to Face Alignment

    Xuehan Xiong;Fernando De la Torre

  • Facing Imbalanced Data--Recommendations for the Use of Performance Metrics

    Laszlo A. Jeni;Jeffrey F. Cohn;Fernando De La Torre

  • Max-Margin Early Event Detectors

    Minh Hoai;Fernando Torre

  • A Framework for Robust Subspace Learning

    Fernando De La Torre;Michael J. Black

  • Detecting depression from facial actions and vocal prosody

    Jeffrey F. Cohn;Tomas Simon Kruez;Iain Matthews;Ying Yang

  • Robust principal component analysis for computer vision

    F. De la Torre;M.J. Black

  • Factorized Graph Matching

    Feng Zhou;Fernando De la Torre

  • Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion

    Feng Zhou;F. De la Torre;J. K. Hodgins

  • Facial Expression Analysis.

    Fernando De la Torre;Jeffrey F. Cohn

  • Driver Gaze Tracking and Eyes Off the Road Detection System

    Francisco Vicente;Zehua Huang;Xuehan Xiong;Fernando De la Torre

  • Selective Transfer Machine for Personalized Facial Action Unit Detection

    Wen-Sheng Chu;Fernando De La Torre;Jeffery F. Cohn

  • Joint segmentation and classification of human actions in video

    Minh Hoai;Zhen-Zhong Lan;Fernando De la Torre

  • Temporal segmentation and activity classification from first-person sensing

    Ekaterina H Spriggs;Fernando De La Torre;Martial Hebert

  • Optimal feature selection for support vector machines

    Minh Hoai Nguyen;Fernando de la Torre

  • Canonical Time Warping for Alignment of Human Behavior

    Feng Zhou;Fernando Torre

  • Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database

    Fernando De la Torre;Jessica Hodgins;Adam Bargteil;Xavier Martin

  • Robust Matrix Factorization with Unknown Noise

    Deyu Meng;Fernando De la Torre

  • Aligned Cluster Analysis for temporal segmentation of human motion

    Feng Zhou;F. Torre;J.K. Hodgins

  • Global supervised descent method

    Xuehan Xiong;Fernando De la Torre

  • Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition

    Ricardo Cabral;Fernando De la Torre;Joao P. Costeira;Alexandre Bernardino

Frequent Co-Authors

Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Jessica K. Hodgins
Jessica K. Hodgins Carnegie Mellon University
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Sergio Escalera
Sergio Escalera University of Barcelona
Simon Lucey
Simon Lucey University of Adelaide
Alexandre Bernardino
Alexandre Bernardino Instituto Superior Técnico
Manuela Veloso
Manuela Veloso Carnegie Mellon University
Iain Matthews
Iain Matthews University of East Anglia
Martial Hebert
Martial Hebert Carnegie Mellon University
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Online education offers students a flexible path to achieve their career goals in Computer Science and related fields. Today, a wide range of online programs cater to diverse interests and timelines, making it easier to get started or switch careers quickly. For those seeking a fast entry into the workforce, consider exploring a 6 month degree course in technology or a related discipline. These programs can provide foundational knowledge in a short period.

Cost is a significant factor for many students. With options like the cheapest online bachelors degree programs and universities recognized as the engineering online degree leaders, you can find reputable and budget-friendly choices. Those interested in the business side of technology can also consider a business degree online, opening doors to management and entrepreneurship roles.

Whether you want to dive into coding, engineering, or tech management, online degrees let you design a study plan that matches your aspirations and financial needs while gaining skills for today’s digital workforce.

Best Scientists Citing Fernando De la Torre

Trending Scientists