default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJacob Goldberger
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i40]Coby Penso, Jacob Goldberger, Ethan Fetaya:
Estimating the Conformal Prediction Threshold from Noisy Labels. CoRR abs/2501.12749 (2025)- 2024
- [j48]Lior Frenkel
, Shlomo E. Chazan, Jacob Goldberger:
Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1226-1236 (2024) - [j47]Coby Penso, Lior Frenkel, Jacob Goldberger:
Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise. IEEE Trans. Medical Imaging 43(6): 2050-2060 (2024) - [c128]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. ACL (Findings) 2024: 6527-6548 - [c127]Idit Diamant, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer:
De-confusing Pseudo-labels in Source-Free Domain Adaptation. ECCV (79) 2024: 108-125 - [c126]Roy Hirsch, Jacob Goldberger:
A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification. ISBI 2024: 1-5 - [c125]Coby Penso, Jacob Goldberger:
A Joint Training and Confidence Calibration Procedure That is Robust to Label Noise. ISBI 2024: 1-5 - [c124]Coby Penso, Jacob Goldberger:
Noise-Robust Conformal Prediction for Medical Image Classification. MLMI@MICCAI (2) 2024: 159-168 - [i39]Coby Penso, Jacob Goldberger:
A Conformal Prediction Score that is Robust to Label Noise. CoRR abs/2405.02648 (2024) - [i38]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. CoRR abs/2406.00842 (2024) - [i37]Roy Hirsch, Jacob Goldberger:
A conformalized learning of a prediction set with applications to medical imaging classification. CoRR abs/2408.05037 (2024) - [i36]Coby Penso, Jacob Goldberger:
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. CoRR abs/2409.04241 (2024) - 2023
- [j46]Avi Caciularu, Jacob Goldberger:
An entangled mixture of variational autoencoders approach to deep clustering. Neurocomputing 529: 182-189 (2023) - [j45]Shaya Goodman, Hayit Greenspan, Jacob Goldberger:
Supervised Domain Adaptation by transferring both the parameter set and its gradient. Neurocomputing 560: 126828 (2023) - [c123]Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger:
Conformal Nucleus Sampling. ACL (Findings) 2023: 27-34 - [c122]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) 2023: 1970-1989 - [c121]Lior Frenkel, Jacob Goldberger, Shlomo E. Chazan:
Domain Adaptation for Speech Enhancement in a Large Domain Gap. INTERSPEECH 2023: 2458-2462 - [c120]Lior Frenkel, Jacob Goldberger:
Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images. ISBI 2023: 1-5 - [c119]Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. ISBI 2023: 1-5 - [c118]Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. DART@MICCAI 2023: 31-40 - [c117]Tal Kiani, Avi Caciularu, Shani Zev, Dan Thomas Major, Jacob Goldberger:
Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis. MLSP 2023: 1-6 - [i35]Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger:
Conformal Nucleus Sampling. CoRR abs/2305.02633 (2023) - [i34]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR abs/2305.15387 (2023) - 2022
- [c116]Lior Frenkel, Jacob Goldberger:
Network Calibration by Temperature Scaling based on the Predicted Confidence. EUSIPCO 2022: 1586-1590 - [c115]Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan:
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. ISBI 2022: 1-5 - [c114]David Sriker, Hayit Greenspan, Jacob Goldberger:
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. ISBI 2022: 1-5 - [c113]Shaya Goodman, Hayit Greenspan, Jacob Goldberger:
Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. DART@MICCAI 2022: 23-32 - [c112]Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger:
Unsupervised Site Adaptation by Intra-site Variability Alignment. DART@MICCAI 2022: 56-65 - [c111]Lior Frenkel, Jacob Goldberger:
Calibration of Medical Imaging Classification Systems with Weight Scaling. MICCAI (8) 2022: 642-651 - [c110]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT 2022: 1765-1779 - [c109]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT 2022: 2872-2879 - 2021
- [j44]Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Dynamically localizing multiple speakers based on the time-frequency domain. EURASIP J. Audio Speech Music. Process. 2021(1): 16 (2021) - [j43]Ran Bakalo, Jacob Goldberger, Rami Ben-Ari:
Weakly and semi supervised detection in medical imaging via deep dual branch net. Neurocomputing 421: 15-25 (2021) - [j42]Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv:
Stochastic weight pruning and the role of regularization in shaping network structure. Neurocomputing 462: 555-567 (2021) - [j41]Avi Caciularu, Nir Raviv, Tomer Raviv, Jacob Goldberger, Yair Be'ery:
perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes. IEEE J. Sel. Areas Commun. 39(1): 79-88 (2021) - [j40]Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger, Tammy Riklin Raviv:
An atlas of classifiers - a machine learning paradigm for brain MRI segmentation. Medical Biol. Eng. Comput. 59(9): 1833-1849 (2021) - [c108]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL 2021: 310-322 - [c107]Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning via Parameter Regularization for Medical Image Segmentation. EUSIPCO 2021: 985-989 - [c106]Lior Frenkel, Jacob Goldberger:
Network Calibration by Class-based Temperature Scaling. EUSIPCO 2021: 1486-1490 - [c105]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-Training. ICASSP 2021: 716-720 - [c104]Eran Goldman, Jacob Goldberger:
Factorized CRF with Batch Normalization Based on the Entire Training Data. ICASSP 2021: 2780-2784 - [c103]Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. MLMI@MICCAI 2021: 161-170 - [c102]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. *SEM 2021: 294-301 - [i33]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Speech enhancement with mixture-of-deep-experts with clean clustering pre-training. CoRR abs/2102.06034 (2021) - [i32]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. CoRR abs/2106.02954 (2021) - [i31]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR abs/2112.08770 (2021) - [i30]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR abs/2112.08777 (2021) - 2020
- [j39]Eran Goldman, Jacob Goldberger:
CRF with deep class embedding for large scale classification. Comput. Vis. Image Underst. 191: 102865 (2020) - [j38]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A mixture of views network with applications to multi-view medical imaging. Neurocomputing 374: 1-9 (2020) - [c101]Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg:
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. BlackboxNLP@EMNLP 2020: 91-106 - [c100]Soham Dan, Hagai Taitelbaum, Jacob Goldberger:
A Locally Linear Procedure for Word Translation. COLING 2020: 6013-6018 - [c99]Yochai Yemini, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
A Composite DNN Architecture for Speech Enhancement. ICASSP 2020: 841-845 - [c98]Yaniv Opochinsky, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
K-Autoencoders Deep Clustering. ICASSP 2020: 4037-4041 - [c97]Gal Cohen, Hayit Greenspan, Jacob Goldberger:
Learning Probabilistic Fusion of Multilabel Lesion Contours. ISBI 2020: 767-771 - [i29]Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery:
perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention. CoRR abs/2002.02315 (2020) - [i28]Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
FCN Approach for Dynamically Locating Multiple Speakers. CoRR abs/2008.11845 (2020) - [i27]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR abs/2009.00590 (2020) - [i26]Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg:
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. CoRR abs/2010.05265 (2020) - [i25]Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv:
The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. CoRR abs/2012.03827 (2020)
2010 – 2019
- 2019
- [j37]Sharon Fogel, Hadar Averbuch-Elor, Daniel Cohen-Or, Jacob Goldberger:
Clustering-Driven Deep Embedding With Pairwise Constraints. IEEE Computer Graphics and Applications 39(4): 16-27 (2019) - [c96]Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. CVPR 2019: 5227-5236 - [c95]Hagai Taitelbaum, Gal Chechik, Jacob Goldberger:
Multilingual word translation using auxiliary languages. EMNLP/IJCNLP (1) 2019: 1330-1335 - [c94]Hagai Taitelbaum, Gal Chechik, Jacob Goldberger:
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation. EMNLP/IJCNLP (1) 2019: 3558-3563 - [c93]Shlomo E. Chazan, Hodaya Hammer, Gershon Hazan, Jacob Goldberger, Sharon Gannot:
Multi-Microphone Speaker Separation based on Deep DOA Estimation. EUSIPCO 2019: 1-5 - [c92]Jacob Goldberger, Yaniv Opochinsky:
Information-bottleneck Based on the Jensen-shannon Divergence with Applications to Pairwise Clustering. ICASSP 2019: 3507-3511 - [c91]Hagai Taitelbaum, Gal Chechik, Jacob Goldberger:
Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones. ICASSP 2019: 3637-3641 - [c90]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. ISBI 2019: 1065-1069 - [c89]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. ISBI 2019: 1563-1566 - [c88]Ran Bakalo, Rami Ben-Ari, Jacob Goldberger:
Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. ISBI 2019: 1905-1909 - [c87]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. MICCAI (3) 2019: 510-517 - [c86]Idan Achituve, Sarit Kraus, Jacob Goldberger:
Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism. MLSP 2019: 1-6 - [c85]Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Deep Clustering Based On A Mixture Of Autoencoders. MLSP 2019: 1-6 - [c84]Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg:
Aligning Vector-spaces with Noisy Supervised Lexicon. NAACL-HLT (1) 2019: 460-465 - [i24]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation. CoRR abs/1901.09263 (2019) - [i23]Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg:
Aligning Vector-spaces with Noisy Supervised Lexicons. CoRR abs/1903.10238 (2019) - [i22]Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. CoRR abs/1904.00853 (2019) - [i21]Ran Bakalo, Rami Ben-Ari, Jacob Goldberger:
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net. CoRR abs/1904.12319 (2019) - [i20]Ran Bakalo, Jacob Goldberger, Rami Ben-Ari:
A dual branch deep neural network for classification and detection in mammograms. CoRR abs/1904.12589 (2019) - [i19]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. CoRR abs/1910.12077 (2019) - 2018
- [j36]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing 321: 321-331 (2018) - [c83]Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. COLING 2018: 764-773 - [c82]Ori Ernst, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Speech Dereverberation Using Fully Convolutional Networks. EUSIPCO 2018: 390-394 - [c81]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
LCMV Beamformer with DNN-Based Multichannel Concurrent Speakers Detector. EUSIPCO 2018: 1562-1566 - [c80]Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation. LVA/ICA 2018: 319-328 - [c79]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
DNN-Based Concurrent Speakers Detector and its Application to Speaker Extraction with LCMV Beamforming. ICASSP 2018: 6712-6716 - [c78]Hagai Taitelbaum, Ehud Ben-Reuven, Jacob Goldberger:
Adding New Classes without Access to the Original Training Data with Applications to Language Identification. INTERSPEECH 2018: 1808-1812 - [c77]Yair Dgani, Hayit Greenspan, Jacob Goldberger:
Training a neural network based on unreliable human annotation of medical images. ISBI 2018: 39-42 - [c76]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic data augmentation using GAN for improved liver lesion classification. ISBI 2018: 289-293 - [c75]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical data augmentation for CNN based pixel-wise classification. ISBI 2018: 1096-1099 - [c74]Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Attention-Based Neural Network for Joint Diarization and Speaker Extraction. IWAENC 2018: 301-305 - [i18]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR abs/1801.02261 (2018) - [i17]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR abs/1801.02385 (2018) - [i16]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. CoRR abs/1803.01229 (2018) - [i15]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications. CoRR abs/1803.06898 (2018) - [i14]Ori Ernst, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Speech Dereverberation Using Fully Convolutional Networks. CoRR abs/1803.08243 (2018) - [i13]Sharon Fogel, Hadar Averbuch-Elor, Jacob Goldberger, Daniel Cohen-Or:
Clustering-driven Deep Embedding with Pairwise Constraints. CoRR abs/1803.08457 (2018) - [i12]Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. CoRR abs/1806.00913 (2018) - [i11]Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
Deep Clustering Based on a Mixture of Autoencoders. CoRR abs/1812.06535 (2018) - 2017
- [j35]Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan:
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Trans. Biomed. Eng. 64(6): 1380-1392 (2017) - [c73]Oren Melamud, Jacob Goldberger:
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. ACL (2) 2017: 167-171 - [c72]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. EMNLP 2017: 1860-1865 - [c71]Dani Cherkassky, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Successive relative transfer function identification using single microphone speech enhancement. EUSIPCO 2017: 1235-1239 - [c70]Ariel Malek, Shlomo E. Chazan, Ilan Malka, Vladimir Tourbabin, Jacob Goldberger, Eli Tzirkel-Hancock, Sharon Gannot:
Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme. EUSIPCO 2017: 2274-2278 - [c69]Jacob Goldberger, Ehud Ben-Reuven:
Training deep neural-networks using a noise adaptation layer. ICLR (Poster) 2017 - [c68]Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv:
Atlas of Classifiers for Brain MRI Segmentation. MLMI@MICCAI 2017: 36-44 - [c67]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. Patch-MI@MICCAI 2017: 129-137 - [c66]Alan Joseph Bekker, Michal Chorev, Liran Carmel, Jacob Goldberger:
A deep neural network witharestricted noisy channel for identification of functional introns. MLSP 2017: 1-6 - [c65]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Deep recurrent mixture of experts for speech enhancement. WASPAA 2017: 359-363 - [i10]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
Speech Enhancement using a Deep Mixture of Experts. CoRR abs/1703.09302 (2017) - [i9]Eran Goldman, Jacob Goldberger:
Structured Image Classification from Conditional Random Field with Deep Class Embedding. CoRR abs/1705.07420 (2017) - [i8]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. CoRR abs/1707.05266 (2017) - [i7]Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN. CoRR abs/1707.06053 (2017) - 2016
- [j34]Roey Mechrez, Jacob Goldberger, Hayit Greenspan:
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI. Int. J. Biomed. Imaging 2016: 7952541:1-7952541:13 (2016) - [j33]Amir Alush, Avishay Friedman, Jacob Goldberger:
Pairwise clustering based on the mutual-information criterion. Neurocomputing 182: 284-293 (2016) - [j32]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2516-2530 (2016) - [j31]Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger:
Multi-View Probabilistic Classification of Breast Microcalcifications. IEEE Trans. Medical Imaging 35(2): 645-653 (2016) - [j30]Amir Alush, Jacob Goldberger:
Hierarchical Image Segmentation Using Correlation Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1358-1367 (2016) - [c64]Oren Melamud, Jacob Goldberger, Ido Dagan:
context2vec: Learning Generic Context Embedding with Bidirectional LSTM. CoNLL 2016: 51-61 - [c63]Jacob Goldberger:
Combining soft decisions of several unreliable experts. ICASSP 2016: 2334-2338 - [c62]Alan Joseph Bekker, Jacob Goldberger:
Training deep neural-networks based on unreliable labels. ICASSP 2016: 2682-2686 - [c61]Alan Joseph Bekker, Hayit Greenspan, Jacob Goldberger:
A multi-view deep learning architecture for classification of breast microcalcifications. ISBI 2016: 726-730 - [c60]Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger:
A phoneme-based pre-training approach for deep neural network with application to speech enhancement. IWAENC 2016: 1-5 - [c59]Idit Diamant, Moran Shalhon, Jacob Goldberger, Hayit Greenspan:
Mutual information criterion for feature selection with application to classification of breast microcalcifications. Image Processing 2016: 97841S - [c58]Alan Joseph Bekker, Irit Opher, Itsik Lapidot, Jacob Goldberger:
Intra-cluster training strategy for deep learning with applications to language identification. MLSP 2016: 1-6 - [c57]Oded Kaminsky, Jacob Goldberger:
Combining clusterings with different detail levels. MLSP 2016: 1-6 - [c56]Ehud Ben-Reuven, Jacob Goldberger:
A Semisupervised Approach for Language Identification based on Ladder Networks. Odyssey 2016: 319-325 - [i6]Ehud Ben-Reuven, Jacob Goldberger:
A Semisupervised Approach for Language Identification based on Ladder Networks. CoRR abs/1604.00317 (2016) - [i5]Oren Melamud, Ido Dagan, Jacob Goldberger:
PMI Matrix Approximations with Applications to Neural Language Modeling. CoRR abs/1609.01235 (2016) - [i4]Yehoshua Dissen, Joseph Keshet, Jacob Goldberger, Cynthia G. Clopper:
Domain Adaptation For Formant Estimation Using Deep Learning. CoRR abs/1611.01783 (2016) - 2015
- [j29]Sharon Nissimov, Jacob Goldberger, Victor Alchanatis:
Obstacle detection in a greenhouse environment using the Kinect sensor. Comput. Electron. Agric. 113: 104-115 (2015) - [j28]Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger:
Efficient Global Learning of Entailment Graphs. Comput. Linguistics 41(2): 249-291 (2015) - [c55]Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger:
Learning to Exploit Structured Resources for Lexical Inference. CoNLL 2015: 175-184 - [c54]Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger:
Learning to combine decisions from multiple mammography views. ISBI 2015: 97-100 - [c53]Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan:
Multi-phase liver lesions classification using relevant visual words based on mutual information. ISBI 2015: 407-410 - [c52]Roey Mechrez, Jacob Goldberger, Hayit Greenspan:
MS lesion segmentation using a multi-channel patch-based approach with spatial consistency. Image Processing 2015: 94130O - [c51]Oren Melamud, Ido Dagan, Jacob Goldberger:
Modeling Word Meaning in Context with Substitute Vectors. HLT-NAACL 2015: 472-482 - [i3]Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot:
A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier. CoRR abs/1510.07315 (2015) - 2014
- [c50]Omer Levy, Ido Dagan, Jacob Goldberger:
Focused Entailment Graphs for Open IE Propositions. CoNLL 2014: 87-97 - [c49]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret:
Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL 2014: 181-190 - [c48]Jacob Goldberger:
MIMO detection based on averaging Gaussian projections. ICASSP 2014: 1916-1920 - 2013
- [c47]Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan:
PLIS: a Probabilistic Lexical Inference System. ACL (Conference System Demonstrations) 2013: 97-102 - [c46]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor:
Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) 2013: 283-288 - [c45]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - [c44]Jacob Goldberger:
Improved MIMO detection based on successive tree approximations. ISIT 2013: 2004-2008 - [c43]Idit Diamant, Jacob Goldberger, Hayit Greenspan:
Visual words based approach for tissue classification in mammograms. Computer-Aided Diagnosis 2013: 867021 - [c42]Avishay Friedman, Jacob Goldberger:
Information Theoretic Pairwise Clustering. SIMBAD 2013: 106-119 - [c41]Amir Alush, Jacob Goldberger:
Break and Conquer: Efficient Correlation Clustering for Image Segmentation. SIMBAD 2013: 134-147 - 2012
- [j27]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Learning Entailment Relations by Global Graph Structure Optimization. Comput. Linguistics 38(1): 73-111 (2012) - [j26]Lev Faivishevsky, Jacob Goldberger:
Dimensionality reduction based on non-parametric mutual information. Neurocomputing 80: 31-37 (2012) - [j25]Amir Alush, Jacob Goldberger:
Ensemble Segmentation Using Efficient Integer Linear Programming. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1966-1977 (2012) - [j24]Lev Faivishevsky, Jacob Goldberger:
An unsupervised data projection that preserves the cluster structure. Pattern Recognit. Lett. 33(3): 256-262 (2012) - [c40]Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger:
Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) 2012: 117-125 - [c39]Lev Faivishevsky, Jacob Goldberger:
Unsupervised feature selection based on non-parametric mutual information. MLSP 2012: 1-6 - [c38]Eyal Shnarch, Ido Dagan, Jacob Goldberger:
A Probabilistic Lexical Model for Ranking Textual Inferences. *SEM@NAACL-HLT 2012: 237-245 - 2011
- [j23]Eyal Baharad, Jacob Goldberger, Moshe Koppel, Shmuel Nitzan:
Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues. Auton. Agents Multi Agent Syst. 22(1): 31-42 (2011) - [j22]Jacob Goldberger, Amir Leshem:
Iterative Tomographic Solution of Integer Least Squares Problems With Applications to MIMO Detection. IEEE J. Sel. Top. Signal Process. 5(8): 1486-1496 (2011) - [j21]Jacob Goldberger, Amir Leshem:
MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation. IEEE Trans. Inf. Theory 57(8): 4973-4982 (2011) - [j20]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Medical Imaging 30(3): 733-746 (2011) - [c37]Eyal Shnarch, Jacob Goldberger, Ido Dagan:
A Probabilistic Modeling Framework for Lexical Entailment. ACL (2) 2011: 558-563 - [c36]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Typed Entailment Rules. ACL 2011: 610-619 - [c35]Eyal Shnarch, Jacob Goldberger, Ido Dagan:
Towards a Probabilistic Model for Lexical Entailment. TextInfer@EMNLP 2011: 10-19 - [c34]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
System for pathology categorization and retrieval in chest radiographs. Computer-Aided Diagnosis 2011: 79630M - [c33]Uri Avni, Hayit Greenspan, Jacob Goldberger:
X-ray Categorization and Spatial Localization of Chest Pathologies. MICCAI (3) 2011: 199-206 - 2010
- [j19]Jacob Goldberger, Tamir Tassa:
Efficient Anonymizations with Enhanced Utility. Trans. Data Priv. 3(2): 149-175 (2010) - [j18]Amir Alush, Hayit Greenspan, Jacob Goldberger:
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. IEEE Trans. Medical Imaging 29(2): 488-501 (2010) - [c32]Jonathan Berant, Ido Dagan, Jacob Goldberger:
Global Learning of Focused Entailment Graphs. ACL 2010: 1220-1229 - [c31]Lev Faivishevsky, Jacob Goldberger:
Nonparametric Information Theoretic Clustering Algorithm. ICML 2010: 351-358 - [c30]Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan:
Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval 2010: 155-164 - [p1]Uri Avni, Jacob Goldberger, Hayit Greenspan:
Medical Image Classification at Tel Aviv and Bar Ilan Universities. ImageCLEF 2010: 435-451 - [i2]Jacob Goldberger, Amir Leshem:
MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation. CoRR abs/1001.5364 (2010)
2000 – 2009
- 2009
- [j17]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging 2009: 715124:1-715124:13 (2009) - [j16]Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh, Susan Rothstein, Moshe Abeles:
Analyzing movement trajectories using a Markov bi-clustering method. J. Comput. Neurosci. 27(3): 543-552 (2009) - [j15]Lior Weizman, Jacob Goldberger:
Urban-Area Segmentation Using Visual Words. IEEE Geosci. Remote. Sens. Lett. 6(3): 388-392 (2009) - [c29]Uri Avni, Hayit Greenspan, Jacob Goldberger:
Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. CLEF (2) 2009: 239-246 - [c28]Uri Avni, Jacob Goldberger, Hayit Greenspan:
Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation. CLEF (Working Notes) 2009 - [c27]Amir Leshem, Jacob Goldberger:
MIMO decoding based on stochastic reconstruction from multiple projections. ICASSP 2009: 2457-2460 - [c26]Jacob Goldberger, Tamir Tassa:
Efficient Anonymizations with Enhanced Utility. ICDM Workshops 2009: 106-113 - [c25]Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger:
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI 2009: 350-353 - [c24]Amir Alush, Hayit Greenspan, Jacob Goldberger:
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. ISBI 2009: 474-477 - [c23]Jacob Goldberger, Amir Leshem:
A Gaussian Tree Approximation for Integer Least-Squares. NIPS 2009: 638-645 - [i1]Amir Leshem, Jacob Goldberger:
MIMO decoding based on stochastic reconstruction from multiple projections. CoRR abs/0901.0252 (2009) - 2008
- [j14]Moshe Butman, Jacob Goldberger:
Face Recognition Using Classification-Based Linear Projections. EURASIP J. Adv. Signal Process. 2008 (2008) - [j13]Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss:
Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008) - [j12]Jacob Goldberger, Tamir Tassa:
A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognit. Lett. 29(11): 1632-1638 (2008) - [j11]Jacob Goldberger, Haggai Kfir:
Serial Schedules for Belief-Propagation: Analysis of Convergence Time. IEEE Trans. Inf. Theory 54(3): 1316-1319 (2008) - [c22]Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger:
Contextual Preferences. ACL 2008: 683-691 - [c21]Uri Avni, Jacob Goldberger, Hayit Greenspan:
TAU MIPLAB at ImageClef 2008. CLEF (Working Notes) 2008 - [c20]Anat Almog, Jacob Goldberger, Yuval Shavitt:
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. ICDM Workshops 2008: 174-183 - [c19]Lior Weizman, Jacob Goldberger:
Detection of Urban Zones in Satellite Images using Visual Words. IGARSS (5) 2008: 160-163 - [c18]Lev Faivishevsky, Jacob Goldberger:
ICA based on a Smooth Estimation of the Differential Entropy. NIPS 2008: 433-440 - 2007
- [j10]Eran Sharon, Simon Litsyn, Jacob Goldberger:
Efficient Serial Message-Passing Schedules for LDPC Decoding. IEEE Trans. Inf. Theory 53(11): 4076-4091 (2007) - [c17]Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss:
An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007 - [c16]Omer Rotem, Hayit Greenspan, Jacob Goldberger:
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007 - [c15]Lior Weizman, Jacob Goldberger:
A classification-based linear projection of labeled hyperspectral data. IGARSS 2007: 3202-3205 - [c14]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599 - 2006
- [j9]Jacob Goldberger, Hayit Greenspan:
Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006) - [j8]Jacob Goldberger, Shiri Gordon, Hayit Greenspan:
Unsupervised image-set clustering using an information theoretic framework. IEEE Trans. Image Process. 15(2): 449-458 (2006) - [j7]Hayit Greenspan, Amit Ruf, Jacob Goldberger:
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Medical Imaging 25(9): 1233-1245 (2006) - 2005
- [j6]Jacob Goldberger:
Reconstructing camera projection matrices from multiple pairwise overlapping views. Comput. Vis. Image Underst. 97(3): 283-296 (2005) - [c13]Jacob Goldberger, Hagai Aronowitz:
A distance measure between GMMs based on the unscented transform and its application to speaker recognition. INTERSPEECH 2005: 1985-1988 - [c12]Amit Ruf, Hayit Greenspan, Jacob Goldberger:
Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797 - 2004
- [j5]Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer:
Probabilistic Space-Time Video Modeling via Piecewise GMM. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 384-396 (2004) - [c11]Jacob Goldberger, Sam T. Roweis:
Hierarchical Clustering of a Mixture Model. NIPS 2004: 505-512 - [c10]Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov:
Neighbourhood Components Analysis. NIPS 2004: 513-520 - 2003
- [c9]Shiri Gordon, Hayit Greenspan, Jacob Goldberger:
Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377 - [c8]Jacob Goldberger, Shiri Gordon, Hayit Greenspan:
An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. ICCV 2003: 487-493 - 2002
- [c7]Jacob Goldberger, Hayit Greenspan, Shiri Gordon:
Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165 - [c6]Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer:
A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475 - [c5]Hayit Greenspan, Shiri Gordon, Jacob Goldberger:
Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973 - 2001
- [j4]Hayit Greenspan, Jacob Goldberger, Lenny Ridel:
A Continuous Probabilistic Framework for Image Matching. Comput. Vis. Image Underst. 84(3): 384-406 (2001) - [j3]Hayit Greenspan, Jacob Goldberger, Itay Eshet:
Mixture model for face-color modeling and segmentation. Pattern Recognit. Lett. 22(14): 1525-1536 (2001) - [c4]Dennis Nilsson, Jacob Goldberger:
Sequentially finding the N-Best List in Hidden Markov Models. IJCAI 2001: 1280-1285
1990 – 1999
- 1999
- [j2]Jacob Goldberger, David Burshtein, Horacio Franco:
Segmental modeling using a continuous mixture of nonparametric models. IEEE Trans. Speech Audio Process. 7(3): 262-271 (1999) - [c3]Jacob Goldberger:
Registration of Multiple Point Sets using the EM Algorithm. ICCV 1999: 730-736 - 1998
- [j1]Jacob Goldberger, David Burshtein:
Scaled random trajectory segment models. Comput. Speech Lang. 12(1): 51-73 (1998) - [c2]Jacob Goldberger, David Burshtein:
Scaled random segmental models. ICASSP 1998: 809-812 - 1997
- [c1]Jacob Goldberger, David Burshtein, Horacio Franco:
Segmental modeling using a continuous mixture of non-parametric models. EUROSPEECH 1997: 1195-1198
Coauthor Index
[j45] [c119] [c118] [c115] [c114] [c113] [c112] [c107] [c103] [j38] [c97] [c90] [c89] [c87] [i24] [i19] [j36] [c77] [c76] [c75] [i18] [i17] [i16] [i15] [j35] [c67] [i7] [j34] [j31] [c61] [c59] [c54] [c53] [c52] [c43] [j20] [c34] [c33] [j18] [c30] [p1] [j17] [c29] [c28] [c25] [c24] [j13] [c21] [c17] [c16] [c14] [j9] [j8] [j7] [c12] [j5] [c9] [c8] [c7] [c6] [c5] [j4] [j3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-26 20:51 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
