Jonathan Mamou

According to our database, Jonathan Mamou authored at least 50 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings.

Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

TangoBERT: Reducing Inference Cost by using Cascaded Architecture.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Roy Schwartz

CoRR, 2022

2021

Ultrasound Mouse Embryo Segmentation and Classification.

Ziming Qiu, Tongda Xu, Jack Langerman, William Das, Chuiyu Wang, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

Dataset, July, 2021

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models.

Matteo Alleman, Jonathan Mamou, Miguel A. Del Rio, Hanlin Tang, Yoon Kim, SueYeon Chung

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2020

Autoregressive Model-Based Reconstruction of Quantitative Acoustic Maps From RF Signals Sampled at Innovation Rate.

Jong-Hoon Kim, Jonathan Mamou, Denis Kouamé, Alin Achim, Adrian Basarab

IEEE Trans. Computational Imaging, 2020

Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes.

Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Emergence of Separable Manifolds in Deep Language Representations.

Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung

Proceedings of the 37th International Conference on Machine Learning, 2020

QANom: Question-Answer driven SRL for Nominalizations.

Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Controlled Crowdsourcing for High-Quality QA-SRL Annotation.

Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Crowdsourcing a High-Quality Gold Standard for QA-SRL.

Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

CoRR, 2019

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes.

Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

CoRR, 2019

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning.

Ziming Qiu, Nitin Nair, Jack Langerman, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

CoRR, 2019

Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan

CoRR, 2019

ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System.

Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement.

Jonathan Mamou, Thomas Pellegrini, Denis Kouamé, Adrian Basarab

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice.

Ziming Qiu, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

CoRR, 2018

Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

CoRR, 2018

Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos.

Jen-Wei Kuo, Ziming Qiu, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Term Set Expansion based NLP Architect by Intel AI Lab.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Scanning Acoustic Microscopy Image Super-Resolution using Bilateral Weighted Total Variation Regularization.

Amirhossein Khalilian-Gourtani, Yao Wang, Jonathan Mamou

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings.

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

Proceedings of the COLING 2018, 2018

2017

A Novel Quantitative 500-MHz Acoustic Microscopy System for Ophthalmologic Tissues.

Daniel Rohrbach, Anette Jakob, Harriet O. Lloyd, Steffen H. Tretbar, Ronald H. Silverman, Jonathan Mamou

IEEE Trans. Biomed. Eng., 2017

Local Transverse-Slice-Based Level-Set Method for Segmentation of 3-D High-Frequency Ultrasonic Backscatter From Dissected Human Lymph Nodes.

Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Tadashi Yamaguchi, Eugene Yanagihara, Junji Machi, S. Lori Bridal, Ernest J. Feleppa

IEEE Trans. Biomed. Eng., 2017

Segmentation of 3D High-frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut with Energy Functional Adapted to Local Intensity Distribution.

Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa

CoRR, 2017

Enhancement of 250-MHz quantitative acoustic-microscopy data using a single-image super-resolution method.

Adrian Basarab, Daniel Rohrbach, Ningning Zhao, Jean-Yves Tourneret, Denis Kouame, Jonathan Mamou

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Image formation methods in quantitative acoustic microscopy.

Jonathan Mamou, Daniel Rohrbach

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo.

Jen-Wei Kuo, Jonathan Mamou, Orlando Aristizábal, Xuan Zhao, Jeffrey A. Ketterling, Yao Wang

IEEE Trans. Medical Imaging, 2016

2015

A novel nested graph cuts method for segmenting human lymph nodes in 3D high frequency ultrasound images.

Jen-Wei Kuo, Jonathan Mamou, Yao Wang, Emi Saegusa-Beecroft, Junji Machi, Ernest J. Feleppa

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Level-set segmentation of 2D and 3D ultrasound data using local gamma distribution fitting energy.

Thanh Minh Bui, Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Junji Machi, Alexandre Dizeux, S. Lori Bridal, Ernest J. Feleppa

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Meeting assistant application.

Michel Assayag, Jonathan Huang, Jonathan Mamou, Oren Pereg, Saurav Sahay, Oren Shamir, Georg Stemmer, Moshe Wasserblat

Proceedings of the INTERSPEECH 2015, 2015

2014

Automatic keyword selection for keyword search development and tuning.

Jia Cui, Jonathan Mamou, Brian Kingsbury, Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

System combination and score normalization for spoken term detection.

Jonathan Mamou, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Brian Kingsbury, Kate Knill, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland

Proceedings of the IEEE International Conference on Acoustics, 2013

A high-performance Cantonese keyword search system.

Brian Kingsbury, Jia Cui, Xiaodong Cui, Mark J. F. Gales, Kate Knill, Jonathan Mamou, Lidia Mangu, David Nolden, Michael Picheny, Bhuvana Ramabhadran, Ralf Schlüter, Abhinav Sethy, Philip C. Woodland

Proceedings of the IEEE International Conference on Acoustics, 2013

Developing speech recognition systems for corpus indexing under the IARPA Babel program.

Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Janice Kim, Brian Kingsbury, Jonathan Mamou, Lidia Mangu, Michael Picheny, Tara N. Sainath, Abhinav Sethy

Proceedings of the IEEE International Conference on Acoustics, 2013

An empirical study of confusion modeling in keyword search for low resource languages.

Murat Saraclar, Abhinav Sethy, Bhuvana Ramabhadran, Lidia Mangu, Jia Cui, Xiaodong Cui, Brian Kingsbury, Jonathan Mamou

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

A quantitative ultrasound-based method and device for reliably guiding pathologists to metastatic regions of dissected lymph nodes.

Alain Coron, Jonathan Mamou, Emi Saegusa-Beecroft, Michael L. Oelze, Tadashi Yamaguchi, Masaki Hata, Junji Machi, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Three-dimensional quantitative ultrasound to guide pathologists towards metastatic foci in lymph nodes.

Jonathan Mamou, Emi Saegusa-Beecroft, Alain Coron, Michael L. Oelze, Tadashi Yamaguchi, Junji Machi, Masaki Hata, Eugene Yanagihara, Pascal Laugier, Ernest J. Feleppa

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Improved Spoken Query Transcription Using Co-Occurrence Information.

Jonathan Mamou, Abhinav Sethy, Bhuvana Ramabhadran, Ron Hoory, Paul Vozila

Proceedings of the INTERSPEECH 2011, 2011

Speech processing and retrieval in a personal memory aid system for the elderly.

Alexander Sorin, Hagai Aronowitz, Jonathan Mamou, Orith Toledo-Ronen, Ron Hoory, Michael Kuritzky, Yael Erez, Bhuvana Ramabhadran, Abhinav Sethy

Proceedings of the IEEE International Conference on Acoustics, 2011

2009

A unified inverted index for an efficient image and text retrieval.

Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Fast decoding for open vocabulary spoken term detection.

Bhuvana Ramabhadran, Abhinav Sethy, Jonathan Mamou, Brian Kingsbury, Upendra V. Chaudhari

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008

Phonetic query expansion for spoken document retrieval.

Jonathan Mamou, Bhuvana Ramabhadran

Proceedings of the INTERSPEECH 2008, 2008

Audio-Visual Content Analysis in P2P Networks: The SAPIR Approach.

Walter Allasia, Fabrizio Falchi, Francesco Gallo, Mouna Kacimi, Aaron Kaplan, Jonathan Mamou, Yosi Mass, Nicola Orio

Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

2007

Vocabulary independent spoken term detection.

Jonathan Mamou, Bhuvana Ramabhadran, Olivier Siohan

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

2006

Perspective on biomedical quantitative ultrasound imaging.

Jonathan Mamou, Michael L. Oelze, William D. O'Brien Jr., James F. Zachary

IEEE Signal Process. Mag., 2006

Spoken document retrieval from call-center conversations.

Jonathan Mamou, David Carmel, Ron Hoory

Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Coded Excitation and Annular Arrays for High-Frequency Ultrasound Imaging.

Jonathan Mamou, Jeffrey A. Ketterling

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Ultrasonic Characterization of Three Animal Mammary Tumors From Three-Dimensional Acoustic Tissue Models

Jonathan Mamou

PhD thesis, 2005

2003

XSEarch: A Semantic Search Engine for XML.

Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Searching in an XML Corpus Using Content and Structure.

Yiftah Ben-Aharon, Sara Cohen, Yael Grumbach, Yaron Kanza, Jonathan Mamou, Yehoshua Sagiv, Benjamin Sznajder, Efrat Twito

Proceedings of the INEX 2003 Workshop Proceedings, 2003