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2020 – today
- 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) - [c126]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 - [c125]Roy Hirsch, Jacob Goldberger:
A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification. ISBI 2024: 1-5 - [c124]Coby Penso, Jacob Goldberger:
A Joint Training and Confidence Calibration Procedure That is Robust to Label Noise. ISBI 2024: 1-5 - [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]