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2020 – today
- 2022
[c110]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- [c109]David Sriker, Hayit Greenspan, Jacob Goldberger:
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. ISBI 2022: 1-5 - 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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]