World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
74701
World Ranking
12329
National Ranking
4987

Overview

Patrick Haffner is affiliated with Interactions Corporation in the United States. Their research primarily spans the fields of Computer Science and Environmental Science, with contributions also touching subfields such as Artificial Intelligence, Ecology, Computer Vision and Pattern Recognition, Occupational Therapy, and Plant Science.

Their scholarly output includes publications in topics related to Topic Modeling, Domain Adaptation and Few-Shot Learning, Text and Document Classification Technologies, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Occupational Health and Performance, and Pesticide Exposure and Toxicity.

Patrick Haffner has co-authored work with several researchers, including:

  • Minhua Chen
  • Badrinath Jayakumar
  • Padmasundari Gopalakrishnan
  • Qiming Huang
  • Michael Johnston

Their recent academic papers are:

  • Deep Clustering with Measure Propagation (2021), published in arXiv (Cornell University)
  • The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models (2023), published in arXiv (Cornell University)

In addition to journal articles, Patrick Haffner has contributed to book publications. One notable example is a volume published by the Centre National de la Recherche Scientifique:

  • Atlas des Mammifères sauvages de France. Volume 3. Carnivores et Primates (2024)

Patrick Haffner's work has been disseminated mainly through the arXiv platform affiliated with Cornell University, where both of the cited research papers appear. Their research interests reflect an interdisciplinary approach, linking computational methods with environmental and occupational health topics.

Best Publications

  • Gradient-based learning applied to document recognition

    Yann Lecun;Leon Bottou;Leon Bottou;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio;Patrick Haffner;Patrick Haffner

  • Support vector machines for histogram-based image classification

    O. Chapelle;P. Haffner;V.N. Vapnik

  • Object Recognition with Gradient-Based Learning

    Yann LeCun;Patrick Haffner;Léon Bottou;Yoshua Bengio

  • ACAS: automated construction of application signatures

    Patrick Haffner;Subhabrata Sen;Oliver Spatscheck;Dongmei Wang

  • High quality document image compression with "DjVu"

    Léon Bottou;Patrick Haffner;Paul G. Howard;Patrice Y. Simard

  • SVMs for Histogram Based Image Classification

    O Chapelle;P Haffner;Vapnik

  • Optimizing SVMs for complex call classification

    P. Haffner;G. Tur;J.H. Wright

  • System and Method for Combining Speech Recognition Outputs From a Plurality of Domain-Specific Speech Recognizers Via Machine Learning

    Mazin Gilbert;Srinivas Bangalore;Patrick Haffner;Robert Bell

  • NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems

    Yu Jin;Nick Duffield;Alexandre Gerber;Patrick Haffner

  • System and method for open speech recognition

    Mazin Gilbert;Srinivas Bangalore;Patrick Haffner;Robert Bell

  • Rational Kernels: Theory and Algorithms

    Corinna Cortes;Patrick Haffner;Mehryar Mohri

  • Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks

    Patrice Simard;Patrice Simard;Léon Bottou;Patrick Haffner;Yann LeCun

  • Systems and methods for rule-based anomaly detection on IP network flow

    Nicholas Duffield;Patrick Haffner;Balachander Krishnamurthy;Haakon Andreas Ringberg

  • Image and video coding-emerging standards and beyond

    B.G. Haskell;P.G. Howard;Y.A. LeCun;A. Puri

  • Integrating time alignment and neural networks for high performance continuous speech recognition

    P. Haffner;M. Franzini;A. Waibel

  • A Modular Machine Learning System for Flow-Level Traffic Classification in Large Networks

    Yu Jin;Nick Duffield;Jeffrey Erman;Patrick Haffner

  • System and method of customizing animated entities for use in a multi-media communication application

    Joern Ostermann;Mehmet Reha Civanlar;Ana Cristina Andres del Valle;Patrick Haffner

  • Rule-Based Anomaly Detection on IP Flows

    N. Duffield;P. Haffner;B. Krishnamurthy;H. Ringberg

  • DjVu: analyzing and compressing scanned documents for Internet distribution

    P. Haffner;L. Bottou;L. Bottou;P.G. Howard;Y. LeCun

  • Characterizing data usage patterns in a large cellular network

    Yu Jin;Nick Duffield;Alexandre Gerber;Patrick Haffner

  • Rational Kernels

    Corinna Cortes;Patrick Haffner;Mehryar Mohri

Frequent Co-Authors

Léon Bottou
Léon Bottou Facebook (United States)
Subhabrata Sen
Subhabrata Sen AT&T (United States)
Yann LeCun
Yann LeCun Facebook (United States)
Nick Duffield
Nick Duffield Texas A&M University
Zhi-Li Zhang
Zhi-Li Zhang University of Minnesota
David Crawford Gibbon
David Crawford Gibbon AT&T (United States)
Srinivas Bangalore
Srinivas Bangalore Interactions LLC
Zhu Liu
Zhu Liu Amazon (United States)
Yoshua Bengio
Yoshua Bengio University of Montreal
Behzad Shahraray
Behzad Shahraray AT&T (United States)

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