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ORCIDZiv Bar-Joseph
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2024
[j62]Lukas Adamek
, Greg Padiasek, Chaorui Zhang, Ingrid O'dwyer, Nicolas Capit, Flavio Dormont, Ramon Hernandez, Ziv Bar-Joseph, Brandon Rufino:
Identifying indications for novel drugs using electronic health records. Comput. Biol. Medicine 183: 109158 (2024)- [j61]Maxim Kryukov, Kathleen P. Moriarty, Macarena Villamea, Ingrid O'dwyer, Ohn Chow, Flavio Dormont, Ramon Hernandez, Ziv Bar-Joseph, Brandon Rufino:
Proxy endpoints - bridging clinical trials and real world data. J. Biomed. Informatics 158: 104723 (2024) - [i6]Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh, Shahriar Noroozizadeh, Alexander Koetter, Jiri Vymetal, Lorenzo Kogler-Anele, Pablo Mas, Yasser Jangjou, Sizhen Li, Michael Bailey, Marc Bianciotto, Hans Matter, Christoph Grebner, Gerhard Hessler, Ziv Bar-Joseph, Sven Jager:
Many-Shot In-Context Learning for Molecular Inverse Design. CoRR abs/2407.19089 (2024) - [i5]Euxhen Hasanaj, Barnabás Póczos, Ziv Bar-Joseph:
Recovering Time-Varying Networks From Single-Cell Data. CoRR abs/2410.01853 (2024) - 2023
- [j60]Monica T. Dayao, Alexandro Trevino, Honesty Kim, Matthew Ruffalo, H. Blaize D'angio, Ryan Preska, Umamaheswar Duvvuri, Aaron T. Mayer, Ziv Bar-Joseph:
Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis. Bioinform. 39(Supplement-1): 140-148 (2023) - [c30]Mena Soliman Asaad Kamel, Amrut Sarangi, Cindy Qin, Het Barot, Pavel Senin, Sergio Villordo, Sunaal Mathew, Albert Pla Planas, Ziv Bar-Joseph:
Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics. BCB 2023: 68:1 - 2022
- [j59]Haotian Teng, Ye Yuan, Ziv Bar-Joseph:
Clustering spatial transcriptomics data. Bioinform. 38(4): 997-1004 (2022) - [j58]Jose Lugo-Martinez, Siwei Xu, Justine Levesque, Daniel Gallagher, Leslie A. Parker, Josef Neu, Christopher J. Stewart, Janet E. Berrington, Nicholas D. Embleton, Gregory Young, Katherine E. Gregory, Misty Good, Arti Tandon, David Genetti, Tracy Warren, Ziv Bar-Joseph:
Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants. J. Biomed. Informatics 128: 104031 (2022) - [j57]Dongshunyi Li, Jun Ding, Ziv Bar-Joseph:
UNIFAN: A Tool for Unsupervised Single-Cell Clustering and Annotation. J. Comput. Biol. 29(11): 1229-1232 (2022) - [j56]Ye Yuan, Carlos Cosme, Taylor Sterling Adams, Jonas Schupp, Koji Sakamoto, Nikos Xylourgidis, Matthew Ruffalo, Jiachen Li, Naftali Kaminski, Ziv Bar-Joseph:
CINS: Cell Interaction Network inference from Single cell expression data. PLoS Comput. Biol. 18(9): 1010468 (2022) - [c29]Dongshunyi Li, Jun Ding, Ziv Bar-Joseph:
Unsupervised Cell Functional Annotation for Single-Cell RNA-Seq. RECOMB 2022: 349-352 - 2021
- [j55]Ye Yuan, Ziv Bar-Joseph:
Deep learning of gene relationships from single cell time-course expression data. Briefings Bioinform. 22(5) (2021) - [j54]Dongshunyi Li, Jun Ding, Ziv Bar-Joseph:
Identifying signaling genes in spatial single-cell expression data. Bioinform. 37(7): 968-975 (2021) - [j53]Sabrina Rashid, Sohrab Shah, Ziv Bar-Joseph, Ravi Pandya:
Dhaka: variational autoencoder for unmasking tumor heterogeneity from single cell genomic data. Bioinform. 37(11): 1535-1543 (2021) - [j52]Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph:
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. J. Comput. Biol. 28(5): 501-513 (2021) - [c28]Sabrina Rashid, Gadi Taubenfeld, Ziv Bar-Joseph:
The Epigenetic Consensus Problem. SIROCCO 2021: 146-163 - 2020
- [j51]Chieh Lin, Jun Ding, Ziv Bar-Joseph:
Inferring TF activation order in time series scRNA-Seq studies. PLoS Comput. Biol. 16(2) (2020) - [j50]Amir Alavi, Ziv Bar-Joseph:
Iterative point set registration for aligning scRNA-seq data. PLoS Comput. Biol. 16(10) (2020) - [c27]Songwei Ge, Haohan Wang, Amir Alavi, Eric P. Xing, Ziv Bar-Joseph:
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. RECOMB 2020: 72-87 - [i4]Sabrina Rashid, Gadi Taubenfeld, Ziv Bar-Joseph:
Genome-Wide Epigenetic Modifications as a Shared Memory Consensus Problem. CoRR abs/2005.06502 (2020) - [i3]Ye Yuan, Xueying Ding, Ziv Bar-Joseph:
Causal inference using deep neural networks. CoRR abs/2011.12508 (2020)
2010 – 2019
- 2019
- [j49]Chieh Lin, Ziv Bar-Joseph:
Continuous-state HMMs for modeling time-series single-cell RNA-Seq data. Bioinform. 35(22): 4707-4715 (2019) - [j48]Michael P. Snyder, Shin Lin, Amanda Posgai, Mark Atkinson, Aviv Regev, Jennifer Rood, Orit Rozenblatt-Rosen, Leslie Gaffney, Anna Hupalowska, Rahul Satija, Nils Gehlenborg, Jay Shendure, Julia Laskin, Pehr Harbury, Nicholas A. Nystrom, Jonathan C. Silverstein, Ziv Bar-Joseph, Kun Zhang, Katy Börner, Yiing Lin, Richard Conroy, Dena Procaccini, Ananda L. Roy, Ajay Pillai, Marishka Brown, Zorina S. Galis, Long Cai, Cole Trapnell, Dana Jackson, Garry P. Nolan, William James Greenleaf, Sylvia K. Plevritis, Sara Ahadi, Stephanie A. Nevins, Hayan Lee, Christian Martijn Schuerch, Sarah Black, Vishal Gautham Venkataraaman, Ed Esplin, Aaron Horning, Amir Bahmani, Xin Sun, Sanjay Jain, James S. Hagood, Gloria Pryhuber, Peter V. Kharchenko, Bernd Bodenmiller, Todd Brusko, Michael Clare-Salzler, Harry Nick, Kevin Otto, Clive Wasserfall, Marda Jorgensen, Maigan Brusko, Sergio Maffioletti, Richard M. Caprioli, Jeffrey M. Spraggins, Danielle Gutierrez, Nathan Heath Patterson, Elizabeth K. Neumann, Raymond Harris, Mark P. de Caestecker, Agnes B. Fogo, Raf Van de Plas, Ken Lau, Guo-Cheng Yuan, Qian Zhu, Ruben Dries, Peng Yin, Sinem K. Saka, Jocelyn Y. Kishi, Yu Wang, Isabel Goldaracena, Dong Hye Ye, Kristin E. Burnum-Johnson, Paul D. Piehowski, Charles Ansong, Ying Zhu, Tushar Desai, Jay Mulye, Peter Chou, Monica Nagendran, Sarah A. Teichmann, Benedict Paten, Robert F. Murphy, Jian Ma, Vladimir Yu. Kiselev, Carl Kingsford, Allyson Ricarte, Maria Keays, Sushma Anand Akoju, Matthew Ruffalo, Margaret Vella, Chuck McCallum, Leonard E. Cross, Samuel H. Friedman, Randy W. Heiland, Bruce William Herr II, Paul Macklin, Ellen M. Quardokus, Lisel Record, James P. Sluka, Griffin M. Weber, Philip D. Blood, Alexander Ropelewski, William Shirey, Robin M. Scibek, Paula M. Mabee, W. Christopher Lenhardt, Kimberly Robasky, Stavros Michailidis, John C. Marioni, Andrew Butler, Tim Stuart, Eyal Fisher, Shila Ghazanfar, Gökcen Eraslan, Tommaso Biancalani, Eeshit D. Vaishnav, Pothur Srinivas, Aaron Pawlyk, Salvatore Sechi, Elizabeth L. Wilder, James Anderson:
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nat. 574(7777): 187-192 (2019) - [j47]Matthew Ruffalo, Roby Thomas, Jian Chen, Adrian V. Lee, Steffi Oesterreich, Ziv Bar-Joseph:
Network-guided prediction of aromatase inhibitor response in breast cancer. PLoS Comput. Biol. 15(2) (2019) - [j46]Ye Yuan, Ziv Bar-Joseph:
Deep learning for inferring gene relationships from single-cell expression data. Proc. Natl. Acad. Sci. USA 116(52): 27151-27158 (2019) - [j45]Sabrina Rashid, Shashank Singh, Saket Navlakha, Ziv Bar-Joseph:
A bacterial based distributed gradient descent model for mass scale evacuations. Swarm Evol. Comput. 46: 97-103 (2019) - [c26]Jose Lugo-Martinez, Jörn Dengjel, Ziv Bar-Joseph, Robert F. Murphy:
Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes. BCB 2019: 144-153 - 2018
- [j44]Jun Ding, James S. Hagood, Namasivayam Ambalavanan, Naftali Kaminski, Ziv Bar-Joseph:
iDREM: Interactive visualization of dynamic regulatory networks. PLoS Comput. Biol. 14(3) (2018) - [j43]Nicolas A. Pabon, Yan Xia, Samuel K. Estabrooks, Zhaofeng Ye, Amanda K. Herbrand, Evelyn Süß, Ricardo M. Biondi, Victoria A. Assimon, Jason E. Gestwicki, Jeffrey L. Brodsky, Carlos J. Camacho, Ziv Bar-Joseph:
Predicting protein targets for drug-like compounds using transcriptomics. PLoS Comput. Biol. 14(12) (2018) - 2017
- [j42]Sabrina Rashid, Darrell N. Kotton, Ziv Bar-Joseph:
TASIC: determining branching models from time series single cell data. Bioinform. 33(16): 2504-2512 (2017) - [j41]Jun Ding, Ziv Bar-Joseph:
MethRaFo: MeDIP-seq methylation estimate using a Random Forest Regressor. Bioinform. 33(21): 3477-3479 (2017) - [j40]Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph:
Reconstructing cancer drug response networks using multitask learning. BMC Syst. Biol. 11(1): 96:1-96:15 (2017) - [p1]Marcel H. Schulz, Ziv Bar-Joseph:
Probabilistic Models for Error Correction of Nonuniform Sequencing Data. Algorithms for Next-Generation Sequencing Data 2017: 131-145 - 2016
- [j39]Siddhartha Jain, Joel Arrais, Narasimhan J. Venkatachari, Velpandi Ayyavoo, Ziv Bar-Joseph:
Reconstructing the temporal progression of HIV-1 immune response pathways. Bioinform. 32(12): 253-261 (2016) - [j38]Matthew Ruffalo, Ziv Bar-Joseph:
Genome wide predictions of miRNA regulation by transcription factors. Bioinform. 32(17): 746-754 (2016) - [c25]Emre Sefer, Ziv Bar-Joseph:
Shall We Dense? Comparing Design Strategies for Time Series Expression Experiments. RECOMB 2016: 244-245 - [c24]Shashank Singh, Sabrina Rashid, Saket Navlakha, Ziv Bar-Joseph:
Distributed Gradient Descent in Bacterial Food Search. RECOMB 2016: 259-260 - 2015
- [j37]Aaron Wise, Ziv Bar-Joseph:
SMARTS: reconstructing disease response networks from multiple individuals using time series gene expression data. Bioinform. 31(8): 1250-1257 (2015) - [j36]Saket Navlakha, Ziv Bar-Joseph:
Distributed information processing in biological and computational systems. Commun. ACM 58(1): 94-102 (2015) - [j35]Saket Navlakha, Christos Faloutsos, Ziv Bar-Joseph:
MassExodus: modeling evolving networks in harsh environments. Data Min. Knowl. Discov. 29(5): 1211-1232 (2015) - [j34]Aaron Wise, Ziv Bar-Joseph:
cDREM: Inferring Dynamic Combinatorial Gene Regulation. J. Comput. Biol. 22(4): 324-333 (2015) - [j33]Saket Navlakha, Alison L. Barth, Ziv Bar-Joseph:
Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks. PLoS Comput. Biol. 11(7) (2015) - 2014
- [j32]Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph:
Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu. PLoS Comput. Biol. 10(12) (2014) - 2013
- [j31]Saket Navlakha, Joseph Suhan, Alison L. Barth, Ziv Bar-Joseph:
A high-throughput framework to detect synapses in electron microscopy images. Bioinform. 29(13): 9-17 (2013) - [j30]Hai-Son Le, Ziv Bar-Joseph:
Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation. Bioinform. 29(13): 89-97 (2013) - [j29]Anthony Gitter, Ziv Bar-Joseph:
Identifying proteins controlling key disease signaling pathways. Bioinform. 29(13): 227-236 (2013) - [j28]Yi Zhou, Alexei Vazquez, Aaron Wise, Tomoko Warita, Katsuhiko Warita, Ziv Bar-Joseph, Zoltán N. Oltvai:
Carbon catabolite repression correlates with the maintenance of near invariant molecular crowding in proliferating E. coli cells. BMC Syst. Biol. 7: 138 (2013) - [j27]Yehuda Afek, Noga Alon, Ziv Bar-Joseph, Alejandro Cornejo, Bernhard Haeupler, Fabian Kuhn:
Beeping a maximal independent set. Distributed Comput. 26(4): 195-208 (2013) - 2012
- [j26]Aaron Wise, Zoltán N. Oltvai, Ziv Bar-Joseph:
Matching experiments across species using expression values and textual information. Bioinform. 28(12): 258-264 (2012) - [j25]Marcel H. Schulz, William E. Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph:
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data. BMC Syst. Biol. 6: 104 (2012) - [j24]Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph:
A Network-based Approach for Predicting Missing Pathway Interactions. PLoS Comput. Biol. 8(8) (2012) - [i2]Yehuda Afek, Noga Alon, Ziv Bar-Joseph, Alejandro Cornejo, Bernhard Haeupler, Fabian Kuhn:
Beeping a Maximal Independent Set. CoRR abs/1206.0150 (2012) - 2011
- [j23]Peter Huggins, Shan Zhong, Idit Shiff, Rachel Beckerman, Oleg Laptenko, Carol Prives, Marcel H. Schulz, Itamar Simon, Ziv Bar-Joseph:
DECOD: fast and accurate discriminative DNA motif finding. Bioinform. 27(17): 2361-2367 (2011) - [j22]Guy E. Zinman, Shan Zhong, Ziv Bar-Joseph:
Biological interaction networks are conserved at the module level. BMC Syst. Biol. 5: 134 (2011) - [j21]Manolis Kellis, Andrea Califano, Ziv Bar-Joseph:
Preface. J. Comput. Biol. 18(2): 131 (2011) - [j20]Tien-ho Lin, Ziv Bar-Joseph, Robert F. Murphy:
Learning Cellular Sorting Pathways Using Protein Interactions and Sequence Motifs. J. Comput. Biol. 18(11): 1709-1722 (2011) - [j19]Tien-ho Lin, Robert F. Murphy, Ziv Bar-Joseph:
Discriminative Motif Finding for Predicting Protein Subcellular Localization. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 441-451 (2011) - [c23]Hai-Son Le, Ziv Bar-Joseph:
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction. NIPS 2011: 235-243 - [c22]Tien-ho Lin, Ziv Bar-Joseph, Robert F. Murphy:
Learning Cellular Sorting Pathways Using Protein Interactions and Sequence Motifs. RECOMB 2011: 204-221 - [c21]Yehuda Afek, Noga Alon, Ziv Bar-Joseph, Alejandro Cornejo, Bernhard Haeupler, Fabian Kuhn:
Beeping a Maximal Independent Set. DISC 2011: 32-50 - [i1]Yehuda Afek, Noga Alon, Ziv Bar-Joseph:
MIS on the fly. CoRR abs/1106.2126 (2011) - 2010
- [j18]Hai-Son Le, Zoltán N. Oltvai, Ziv Bar-Joseph:
Cross-species queries of large gene expression databases. Bioinform. 26(19): 2416-2423 (2010) - [j17]Yong Lu, Roni Rosenfeld, Gerard J. Nau, Ziv Bar-Joseph:
Cross Species Expression Analysis of Innate Immune Response. J. Comput. Biol. 17(3): 253-268 (2010) - [c20]Hai-Son Le, Ziv Bar-Joseph:
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings. NIPS 2010: 1270-1278
2000 – 2009
- 2009
- [j16]Yong Lu, Peter Huggins, Ziv Bar-Joseph:
Cross species analysis of microarray expression data. Bioinform. 25(12): 1476-1483 (2009) - [j15]Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. J. Comput. Biol. 16(8): 1035-1049 (2009) - [j14]Manfred Lau, Ziv Bar-Joseph, James Kuffner:
Modeling spatial and temporal variation in motion data. ACM Trans. Graph. 28(5): 171 (2009) - [c19]Yong Lu, Roni Rosenfeld, Gerard J. Nau, Ziv Bar-Joseph:
Cross Species Expression Analysis of Innate Immune Response. RECOMB 2009: 90-107 - 2008
- [j13]Alexei Vazquez, Qasim K. Beg, Marcio A. de Menezes, Jason Ernst, Ziv Bar-Joseph, Albert-László Barabási, László G. Boros, Zoltán N. Oltvai:
Impact of the solvent capacity constraint on E. coli metabolism. BMC Syst. Biol. 2: 7 (2008) - [j12]Jason Ernst, Qasim K. Beg, Krin A. Kay, Gábor Balázsi, Zoltán N. Oltvai, Ziv Bar-Joseph:
A Semi-Supervised Method for Predicting Transcription Factor-Gene Interactions in Escherichia coli. PLoS Comput. Biol. 4(3) (2008) - [j11]Anupam Gupta, Ziv Bar-Joseph:
Extracting Dynamics from Static Cancer Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 5(2): 172-182 (2008) - [c18]Tien-ho Lin, Naftali Kaminski, Ziv Bar-Joseph:
Alignment and classification of time series gene expression in clinical studies. ISMB 2008: 147-155 - [c17]Yanjun Qi, Fernanda Balem, Christos Faloutsos, Judith Klein-Seetharaman, Ziv Bar-Joseph:
Protein complex identification by supervised graph local clustering. ISMB 2008: 250-268 - [c16]Yanxin Shi, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors. RECOMB 2008: 82-97 - 2007
- [j10]Yanxin Shi, Tom M. Mitchell, Ziv Bar-Joseph:
Inferring pairwise regulatory relationships from multiple time series datasets. Bioinform. 23(6): 755-763 (2007) - [j9]Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Joseph:
A mixture of feature experts approach for protein-protein interaction prediction. BMC Bioinform. 8(S-10) (2007) - [j8]Naftali Kaminski, Ziv Bar-Joseph:
A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies. J. Comput. Biol. 14(3): 324-338 (2007) - [c15]Yanxin Shi, Michael Klutstein, Itamar Simon, Tom M. Mitchell, Ziv Bar-Joseph:
Continuous hidden process model for time series expression experiments. ISMB/ECCB (Supplement of Bioinformatics) 2007: 459-467 - 2006
- [j7]Jason Ernst, Ziv Bar-Joseph:
STEM: a tool for the analysis of short time series gene expression data. BMC Bioinform. 7: 191 (2006) - [c14]Yong Lu, Ronald Rosenfeld, Ziv Bar-Joseph:
Identifying cycling genes by combining sequence homology and expression data. ISMB (Supplement of Bioinformatics) 2006: 314-322 - [c13]Naftali Kaminski, Ziv Bar-Joseph:
A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies. RECOMB 2006: 69-82 - 2005
- [c12]Rohit Singh, Nathan P. Palmer, David K. Gifford, Bonnie Berger, Ziv Bar-Joseph:
Active learning for sampling in time-series experiments with application to gene expression analysis. ICML 2005: 832-839 - [c11]Jason Ernst, Gerard J. Nau, Ziv Bar-Joseph:
Clustering short time series gene expression data. ISMB (Supplement of Bioinformatics) 2005: 159-168 - [c10]Yanjun Qi, Judith Klein-Seetharaman, Ziv Bar-Joseph:
Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources. Pacific Symposium on Biocomputing 2005 - 2004
- [j6]Ziv Bar-Joseph:
Analyzing time series gene expression data. Bioinform. 20(16): 2493-2503 (2004) - [c9]Ziv Bar-Joseph, Shlomit Farkash, David K. Gifford, Itamar Simon, Roni Rosenfeld:
Deconvolving cell cycle expression data with complementary information. ISMB/ECCB (Supplement of Bioinformatics) 2004: 23-30 - 2003
- [b1]Ziv Bar-Joseph:
Inferring interactions, expression programs and regulatory networks from high throughput biological data. Massachusetts Institute of Technology, Cambridge, MA, USA, 2003 - [j5]Ziv Bar-Joseph, Erik D. Demaine, David K. Gifford, Nathan Srebro, Angèle M. Hamel, Tommi S. Jaakkola:
K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data. Bioinform. 19(9): 1070-1078 (2003) - [j4]Ziv Bar-Joseph, Daniel Cohen-Or:
Hierarchical Context-based Pixel Ordering. Comput. Graph. Forum 22(3): 349-358 (2003) - [j3]Ziv Bar-Joseph, Georg K. Gerber, David K. Gifford, Tommi S. Jaakkola, Itamar Simon:
Continuous Representations of Time-Series Gene Expression Data. J. Comput. Biol. 10(3/4): 341-356 (2003) - [c8]Marc Cardle, Stephen Brooks, Ziv Bar-Joseph, Peter Robinson:
Sound-by-numbers: motion-driven sound synthesis. Symposium on Computer Animation 2003: 349-356 - 2002
- [j2]Shlomo Dubnov, Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman:
Synthesizing Sound Textures through Wavelet Tree Learning. IEEE Computer Graphics and Applications 22(4): 38-48 (2002) - [c7]Ziv Bar-Joseph, Georg K. Gerber, David K. Gifford, Tommi S. Jaakkola, Itamar Simon:
A new approach to analyzing gene expression time series data. RECOMB 2002: 39-48 - [c6]Ziv Bar-Joseph, Erik D. Demaine, David K. Gifford, Angèle M. Hamel, Tommi S. Jaakkola, Nathan Srebro:
K-ary Clustering with Optimal Leaf Ordering for Gene Expression Data. WABI 2002: 506-520 - [c5]Ziv Bar-Joseph, Idit Keidar, Nancy A. Lynch:
Early-Delivery Dynamic Atomic Broadcast. DISC 2002: 1-16 - 2001
- [j1]Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman:
Texture Mixing and Texture Movie Synthesis Using Statistical Learning. IEEE Trans. Vis. Comput. Graph. 7(2): 120-135 (2001) - [c4]Ziv Bar-Joseph, David K. Gifford, Tommi S. Jaakkola:
Fast optimal leaf ordering for hierarchical clustering. ISMB (Supplement of Bioinformatics) 2001: 22-29 - 2000
- [c3]Ziv Bar-Joseph, Idit Keidar, Tal Anker, Nancy A. Lynch:
Totally Ordered Multicast with Bounded Delays and Variable Rates. OPODIS 2000: 143-162
1990 – 1999
- 1999
- [c2]Ziv Bar-Joseph, Dani Lischinski, Michael Werman, Shlomo Dubnov, Ran El-Yaniv:
Granular Synthesis of Sound Textures Using Statistical Learning. ICMC 1999 - 1998
- [c1]Ziv Bar-Joseph, Michael Ben-Or:
A Tight Lower Bound for Randomized Synchronous Consensus. PODC 1998: 193-199
Coauthor Index
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