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2020 – today
- 2024
[c110]Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan:
GENEVA: GENErating and Visualizing branching narratives using LLMs. CoG 2024: 1-5- [c109]Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan:
Player-Driven Emergence in LLM-Driven Game Narrative. CoG 2024: 1-8 - [c108]Ashish Sharma, Sudha Rao, Chris Brockett
, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan:
Investigating Agency of LLMs in Human-AI Collaboration Tasks. EACL (1) 2024: 1968-1987 - [c107]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR 2024 - [c106]Weijia Xu, Andrzej Banburski, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. ICML 2024 - [i37]Xiangyu Peng, Jessica Quaye, Weijia Xu, Chris Brockett, Bill Dolan, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Sudha Rao:
Player-Driven Emergence in LLM-Driven Game Narrative. CoRR abs/2404.17027 (2024) - 2023
- [c105]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. ACL (1) 2023: 1216-1239 - [c104]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Osazuwa Ness, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. NeurIPS 2023 - [i36]Ana Jojic, Zhen Wang, Nebojsa Jojic:
GPT is becoming a Turing machine: Here are some ways to program it. CoRR abs/2303.14310 (2023) - [i35]Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic:
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling. CoRR abs/2305.09993 (2023) - [i34]Ashish Sharma, Sudha Rao, Chris Brockett, Akanksha Malhotra, Nebojsa Jojic, Bill Dolan:
Towards Dialogue Systems with Agency in Human-AI Collaboration Tasks. CoRR abs/2305.12815 (2023) - [i33]Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson:
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval. CoRR abs/2309.15129 (2023) - [i32]Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu:
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR abs/2310.16427 (2023) - [i31]Jorge Leandro, Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan:
GRIM: GRaph-based Interactive narrative visualization for gaMes. CoRR abs/2311.09213 (2023) - 2022
- [j20]Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022) - [c103]Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
Coherence boosting: When your pretrained language model is not paying enough attention. ACL (1) 2022: 8214-8236 - [c102]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion Models as Plug-and-Play Priors. NeurIPS 2022 - [c101]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. UAI 2022: 1707-1717 - [i30]Esther Rolf, Nikolay Malkin, Alexandros Graikos, Ana Jojic, Caleb Robinson, Nebojsa Jojic:
Resolving label uncertainty with implicit posterior models. CoRR abs/2202.14000 (2022) - [i29]Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras:
Diffusion models as plug-and-play priors. CoRR abs/2206.09012 (2022) - [i28]Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
ThinkSum: Probabilistic reasoning over sets using large language models. CoRR abs/2210.01293 (2022) - 2021
- [j19]Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3185-3199 (2021) - [c100]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional processing emerges in neural networks solving math problems. CogSci 2021 - [c99]Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic:
Multi-Label Learning From Single Positive Labels. CVPR 2021: 933-942 - [c98]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. EMNLP (1) 2021: 10351-10366 - [c97]Nebojsa Jojic, Nikolay Malkin, Caleb Robinson, Anthony Ortiz:
From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery. IGARSS 2021: 270-273 - [c96]Nikolay Malkin, Sameera Lanka, Pranav Goel, Sudha Rao, Nebojsa Jojic:
GPT Perdetry Test: Generating new meanings for new words. NAACL-HLT 2021: 5542-5553 - [i27]Nikolay Malkin, Caleb Robinson, Nebojsa Jojic:
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest. CoRR abs/2101.01154 (2021) - [i26]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR abs/2105.08961 (2021) - [i25]Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua:
Video Imprint. CoRR abs/2106.03283 (2021) - [i24]Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic:
Multi-Label Learning from Single Positive Labels. CoRR abs/2106.09708 (2021) - [i23]Nikolay Malkin, Sameera Lanka, Pranav Goel, Nebojsa Jojic:
Studying word order through iterative shuffling. CoRR abs/2109.04867 (2021) - [i22]Nikolay Malkin, Zhen Wang, Nebojsa Jojic:
Boosting coherence of language models. CoRR abs/2110.08294 (2021) - 2020
- [c95]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. AAAI 2020: 2509-2517 - [c94]Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic, Christopher Meek:
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context. ACL 2020: 7652-7662 - [c93]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Md Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CVPR 2020: 11273-11282 - [c92]Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic:
Mining Self-similarity: Label Super-Resolution with Epitomic Representations. ECCV (26) 2020: 531-547 - [c91]Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang:
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ICLR 2020 - [c90]Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic:
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS 2020: 7046-7049 - [i21]Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly:
The GeoLifeCLEF 2020 Dataset. CoRR abs/2004.04192 (2020) - [i20]Kolya Malkin, Anthony Ortiz, Caleb Robinson, Nebojsa Jojic:
Mining self-similarity: Label super-resolution with epitomic representations. CoRR abs/2004.11498 (2020)
2010 – 2019
- 2019
- [j18]Zhanning Gao, Le Wang, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, Gang Hua:
Video Imprint. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3086-3099 (2019) - [c89]Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic:
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR 2019: 12726-12735 - [c88]Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel H. Saltz, Lucas Joppa, Nebojsa Jojic:
Label super-resolution networks. ICLR (Poster) 2019 - [i19]Yingzhen Yang, Nebojsa Jojic, Jun Huan:
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. CoRR abs/1902.03264 (2019) - [i18]Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz:
Label Super Resolution with Inter-Instance Loss. CoRR abs/1904.04429 (2019) - [i17]Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic:
Human-Machine Collaboration for Fast Land Cover Mapping. CoRR abs/1906.04176 (2019) - [i16]Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao:
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR abs/1910.06611 (2019) - [i15]Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune:
A deep active learning system for species identification and counting in camera trap images. CoRR abs/1910.09716 (2019) - [i14]Anthony Ortiz, Caleb Robinson, Dan Morris, Olac Fuentes, Christopher Kiekintveld, Mahmudulla Hassan, Nebojsa Jojic:
Local Context Normalization: Revisiting Local Normalization. CoRR abs/1912.05845 (2019) - 2018
- [j17]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
Subspace Learning by ℓ0-Induced Sparsity. Int. J. Comput. Vis. 126(10): 1138-1156 (2018) - [c87]Shashank Srivastava, Nebojsa Jojic:
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text. ACL (1) 2018: 2268-2277 - [c86]Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang:
3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) 2018 - [c85]Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan:
WSNet: Compact and Efficient Networks Through Weight Sampling. ICML 2018: 2357-2366 - 2017
- [c84]Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, Nanning Zheng:
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting. CVPR 2017: 2107-2116 - [c83]Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg:
Steering Output Style and Topic in Neural Response Generation. EMNLP 2017: 2140-2150 - [c82]Alessandro Penna, Sadegh Mohammadi, Nebojsa Jojic, Vittorio Murino:
Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-Sample Image Sequences. ICCV 2017: 4336-4344 - [i13]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
On the Suboptimality of Proximal Gradient Descent for $\ell^{0}$ Sparse Approximation. CoRR abs/1709.01230 (2017) - [i12]Yingzhen Yang, Feng Liang, Nebojsa Jojic, Shuicheng Yan, Jiashi Feng, Thomas S. Huang:
Discriminative Similarity for Clustering and Semi-Supervised Learning. CoRR abs/1709.01231 (2017) - [i11]Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg:
Steering Output Style and Topic in Neural Response Generation. CoRR abs/1709.03010 (2017) - [i10]Yao-Hung Hubert Tsai, Han Zhao, Ruslan Salakhutdinov, Nebojsa Jojic:
Discovering Order in Unordered Datasets: Generative Markov Networks. CoRR abs/1711.03167 (2017) - 2016
- [j16]Pietro Lovato, Manuele Bicego, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Alessandro Perina:
Traveling on discrete embeddings of gene expression. Artif. Intell. Medicine 70: 1-11 (2016) - [c81]Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang:
ℓ ^0 ℓ 0 -Sparse Subspace Clustering. ECCV (2) 2016: 731-747 - [c80]R. Devon Hjelm, Russ Salakhutdinov, Kyunghyun Cho, Nebojsa Jojic, Vince D. Calhoun, Junyoung Chung:
Iterative Refinement of the Approximate Posterior for Directed Belief Networks. NIPS 2016: 4691-4699 - [c79]Nebojsa Jojic, Alessandro Perina, Dongwoo Kim:
Hierarchical learning of grids of microtopics. UAI 2016 - 2015
- [j15]Alessandro Perina, Nebojsa Jojic:
Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2374-2387 (2015) - [i9]Nebojsa Jojic, Alessandro Perina, Dongwoo Kim:
Hierarchical learning of grids of microtopics. CoRR abs/1503.03701 (2015) - [i8]R. Devon Hjelm, Kyunghyun Cho, Junyoung Chung, Ruslan Salakhutdinov, Vince D. Calhoun, Nebojsa Jojic:
Iterative Refinement of Approximate Posterior for Training Directed Belief Networks. CoRR abs/1511.06382 (2015) - 2014
- [c78]Alessandro Perina, Denis Peruzzo, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Mellani Bellani, Paolo Brambilla, Umberto Castellani:
Mapping Brains on Grids of Features for Schizophrenia Analysis. MICCAI (2) 2014: 805-812 - [c77]Alessandro Perina, Pietro Lovato, Nebojsa Jojic:
Bags of Words Models of Epitope Sets: HIV Viral Load Regression with Counting Grids. Pacific Symposium on Biocomputing 2014: 288-300 - [i7]Alessandro Perina, Nebojsa Jojic:
Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features. CoRR abs/1410.6264 (2014) - 2013
- [c76]Alessandro Perina, Nebojsa Jojic:
Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid. CVPR 2013: 500-507 - [c75]Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic:
Efficient Ranking from Pairwise Comparisons. ICML (3) 2013: 109-117 - [c74]Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski:
Documents as multiple overlapping windows into grids of counts. NIPS 2013: 10-18 - [c73]Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan:
A Comparative Framework for Preconditioned Lasso Algorithms. NIPS 2013: 1061-1069 - [i6]Brendan J. Frey, Nebojsa Jojic:
Learning Graphical Models of Images, Videos and Their Spatial Transformations. CoRR abs/1301.3854 (2013) - [i5]Alessandro Perina, Nebojsa Jojic:
In the sight of my wearable camera: Classifying my visual experience. CoRR abs/1304.7236 (2013) - 2012
- [j14]Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey:
Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. BMC Bioinform. 13(S-6): S11 (2012) - [j13]Alessandro Perina, Nebojsa Jojic, Marco Cristani, Vittorio Murino:
Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes. Int. J. Comput. Vis. 100(3): 241-260 (2012) - [j12]Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic:
Free Energy Score Spaces: Using Generative Information in Discriminative Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1249-1262 (2012) - [c72]Alessandro Perina, Nebojsa Jojic:
Spring Lattice Counting Grids: Scene Recognition Using Deformable Positional Constraints. ECCV (6) 2012: 837-851 - [c71]Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan:
Active spectral clustering via iterative uncertainty reduction. KDD 2012: 1339-1347 - [c70]Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina:
Feature Selection Using Counting Grids: Application to Microarray Data. SSPR/SPR 2012: 629-637 - [i4]Nebojsa Jojic, Alessandro Perina:
Multidimensional counting grids: Inferring word order from disordered bags of words. CoRR abs/1202.3752 (2012) - [i3]Joseph Bockhorst, Nebojsa Jojic:
Discovering Patterns in Biological Sequences by Optimal Segmentation. CoRR abs/1206.5256 (2012) - [i2]Nebojsa Jojic, Vladimir Jojic, David Heckerman:
Joint discovery of haplotype blocks and complex trait associations from SNP sequences. CoRR abs/1207.4145 (2012) - [i1]Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez:
Probabilistic index maps for modeling natural signals. CoRR abs/1207.4179 (2012) - 2011
- [j11]Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic:
Nonparametric Combinatorial Sequence Models. J. Comput. Biol. 18(11): 1649-1660 (2011) - [c69]Alessandro Perina, Nebojsa Jojic:
Image analysis by counting on a grid. CVPR 2011: 1985-1992 - [c68]Jim C. Huang, Nebojsa Jojic:
Variable Selection through Correlation Sifting. RECOMB 2011: 106-123 - [c67]Fabian L. Wauthier, Michael I. Jordan, Nebojsa Jojic:
Nonparametric Combinatorial Sequence Models. RECOMB 2011: 516-530 - [c66]Nebojsa Jojic, Alessandro Perina:
Multidimensional counting grids: Inferring word order from disordered bags of words. UAI 2011: 547-556 - 2010
- [c65]Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino:
Object Recognition with Hierarchical Stel Models. ECCV (6) 2010: 15-28 - [c64]Jim C. Huang, Nebojsa Jojic, Christopher Meek:
Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS 2010: 874-882 - [c63]Nebojsa Jojic, Alessandro Perina, Vittorio Murino:
Structural epitome: a way to summarize one's visual experience. NIPS 2010: 1027-1035 - [c62]Jim C. Huang, Nebojsa Jojic:
Maximum-likelihood learning of cumulative distribution functions on graphs. AISTATS 2010: 342-349
2000 – 2009
- 2009
- [c61]Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey:
Stel component analysis: Modeling spatial correlations in image class structure. CVPR 2009: 2044-2051 - [c60]Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic:
A hybrid generative/discriminative classification framework based on free-energy terms. ICCV 2009: 2058-2065 - [c59]Manuel Reyes-Gomez, Nebojsa Jojic:
Speech separation by efficient combinatorial decoding of speech mixtures. ICME 2009: 498-505 - [c58]Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic:
Free energy score space. NIPS 2009: 1428-1436 - 2008
- [j10]Vincent Cheung, Brendan J. Frey, Nebojsa Jojic:
Video Epitomes. Int. J. Comput. Vis. 76(2): 141-152 (2008) - [j9]Anitha Kannan, Nebojsa Jojic, Brendan J. Frey:
Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. 77(1-3): 87-101 (2008) - [j8]Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic:
Shift-Invariant Adaptive Double Threading: Learning MHC II-Peptide Binding. J. Comput. Biol. 15(7): 927-942 (2008) - [j7]David C. Nickle, Nebojsa Jojic, David Heckerman, Vladimir Jojic, Darko Kirovski, Morgane Rolland, Sergei L. Kosakovsky Pond, James I. Mullins:
Comparison of Immunogen Designs That Optimize Peptide Coverage: Reply to Fischer et al. PLoS Comput. Biol. 4(1) (2008) - [c57]Vladimir Jojic, Tomer Hertz, Nebojsa Jojic:
Population Sequencing Using Short Reads: HIV as a Case Study. Pacific Symposium on Biocomputing 2008: 114-125 - [c56]Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele:
Constructing Treatment Portfolios Using Affinity Propagation. RECOMB 2008: 360-371 - 2007
- [j6]David C. Nickle, Morgane Rolland, Mark A. Jensen, Sergei L. Kosakovsky Pond, Wenjie Deng, Mark Seligman, David Heckerman, James I. Mullins, Nebojsa Jojic:
Coping with Viral Diversity in HIV Vaccine Design. PLoS Comput. Biol. 3(4) (2007) - [c55]Vincent Cheung, Nebojsa Jojic, Dimitris Samaras:
Capturing long-range correlations with patch models. CVPR 2007 - [c54]Sumit Gulwani, Nebojsa Jojic:
Program verification as probabilistic inference. POPL 2007: 277-289 - [c53]Noah Zaitlen, Manuel Reyes-Gomez, David Heckerman, Nebojsa Jojic:
Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding. RECOMB 2007: 181-195 - [c52]Sean O'Rourke, Noah Zaitlen, Nebojsa Jojic, Eleazar Eskin:
Reconstructing the Phylogeny of Mobile Elements. RECOMB 2007: 196-210 - [c51]Joseph Bockhorst, Nebojsa Jojic:
Discovering Patterns in Biological Sequences by Optimal Segmentation. UAI 2007: 17-24 - 2006
- [c50]Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Jojic:
Recursive estimation of generative models of video. CVPR (1) 2006: 79-86 - [c49]Nebojsa Jojic, John M. Winn, C. Lawrence Zitnick:
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video. CVPR (1) 2006: 117-124 - [c48]Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman:
Learning MHC I - peptide binding. ISMB (Supplement of Bioinformatics) 2006: 227-235 - [c47]