World's Best Scientists 2026 revealed!
Jacob Goldberger

Jacob Goldberger

D-Index & Metrics

Computer Science

D-Index
48
Citations
12891
World Ranking
6067
National Ranking
94

Overview

Jacob Goldberger is affiliated with Bar-Ilan University in Israel and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence. Their research portfolio includes 72 publications spanning various subfields such as artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, molecular biology, and signal processing.

Goldberger's work addresses multiple topics, notably COVID-19 diagnosis using AI, domain adaptation and few-shot learning, topic modeling, natural language processing techniques, AI in cancer detection, multimodal machine learning applications, and speech and audio processing.

Some of their recent papers include:

  • Dynamically localizing multiple speakers based on the time-frequency domain, 2021, EURASIP Journal on Audio Speech and Music Processing
  • Proposition-Level Clustering for Multi-Document Summarization, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Weakly and semi supervised detection in medical imaging via deep dual branch net, 2020, Neurocomputing
  • Long Context Question Answering via Supervised Contrastive Learning, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • An entangled mixture of variational autoencoders approach to deep clustering, 2023, Neurocomputing

Frequent publication venues for Goldberger include arXiv (Cornell University) with 16 papers, Neurocomputing with 4 papers, bioRxiv (Cold Spring Harbor Laboratory) with 4 publications, International Journal of Molecular Sciences with 3 papers, and the Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies with 2 papers.

Goldberger often collaborates with several co-authors, including Hayit Greenspan, Tomer Kalisky, Ido Dagan, Coby Penso, and Yaron Trink, each having multiple joint publications.

Best Publications

  • Neighbourhood Components Analysis

    Jacob Goldberger;Geoffrey E. Hinton;Sam T. Roweis;Ruslan R Salakhutdinov

  • GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

    Maayan Frid-Adar;Idit Diamant;Eyal Klang;Michal Amitai

  • Synthetic data augmentation using GAN for improved liver lesion classification

    Maayan Frid-Adar;Eyal Klang;Michal Amitai;Jacob Goldberger

  • context2vec: Learning Generic Context Embedding with Bidirectional LSTM

    Oren Melamud;Jacob Goldberger;Ido Dagan

  • Training deep neural-networks using a noise adaptation layer

    Jacob Goldberger;Ehud Ben-Reuven

  • Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

    H. Greenspan;A. Ruf;J. Goldberger

  • X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words

    U Avni;H Greenspan;E Konen;M Sharon

  • Hierarchical Clustering of a Mixture Model

    Jacob Goldberger;Sam T. Roweis

  • An efficient message-passing schedule for LDPC decoding

    E. Sharon;S. Litsyn;J. Goldberger

  • Efficient Serial Message-Passing Schedules for LDPC Decoding

    E. Sharon;S. Litsyn;J. Goldberger

  • Probabilistic space-time video modeling via piecewise GMM

    H. Greenspan;J. Goldberger;A. Mayer

  • Precise Detection in Densely Packed Scenes

    Eran Goldman;Roei Herzig;Aviv Eisenschtat;Jacob Goldberger

  • Mixture model for face-color modeling and segmentation

    Hayit Greenspan;Jacob Goldberger;Itay Eshet

  • Unsupervised image-set clustering using an information theoretic framework

    J. Goldberger;S. Gordon;H. Greenspan

  • Global Learning of Typed Entailment Rules

    Jonathan Berant;Ido Dagan;Jacob Goldberger

  • Training deep neural-networks based on unreliable labels

    Alan Joseph Bekker;Jacob Goldberger

  • An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures

    Jacob Goldberger;Shiri Gordon;Hayit Greenspan

  • Automatic management of storage access control

    Yakov Faitelson;Jacob Goldberger;Ohad Korkus

  • Pattern recognition system

    Gabriel Ilan;Jacob Goldberger

  • A continuous probabilistic framework for image matching

    Hayit Greenspan;Jacob Goldberger;Lenny Ridel

  • A distance measure between GMMs based on the unscented transform and its application to speaker recognition.

    Jacob Goldberger;Hagai Aronowitz

Frequent Co-Authors

Hayit Greenspan
Hayit Greenspan Tel Aviv University
Sharon Gannot
Sharon Gannot Bar-Ilan University
Ido Dagan
Ido Dagan Bar-Ilan University
Amir Leshem
Amir Leshem Bar-Ilan University
Jonathan Berant
Jonathan Berant Tel Aviv University
Moshe Koppel
Moshe Koppel Bar-Ilan University
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Simon Litsyn
Simon Litsyn Tel Aviv University
Samuel Kaski
Samuel Kaski Aalto University
Gal Chechik
Gal Chechik Bar-Ilan University

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