default search action
Jinbo Bi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j36]Hossein Hamidi Shishavan, Ethan Gossett, Jinbo Bi
, Robert Henning, Martin Cherniack, Insoo Kim
Unsupervised Bayesian change point detection model to track acute stress responses. Biomed. Signal Process. Control. 95: 106415 (2024) - [j35]Fei Dou
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. 11(3): 3909-3926 (2024) - [c86]Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang:
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE 2024: 13-24 - [i24]Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar:
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR abs/2402.15586 (2024) - [i23]Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song:
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR abs/2403.05796 (2024) - [i22]Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar:
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR abs/2405.16036 (2024) - 2023
- [j34]Marjan Hosseini, Aaron Palmer, William Manka, Patrick G. S. Grady
Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures. Bioinform. 39(Supplement-1): 242-251 (2023) - [j33]Chinmaey Shende
Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 121:1-121:21 (2023) - [j32]Guannan Liang, Qianqian Tong
Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. 630: 567-585 (2023) - [j31]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55(3): 1997-2000 (2023) - [c85]Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. IEEE Big Data 2023: 510-515 - [c84]Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi:
Auto-Encoding Goodness of Fit. ICLR 2023 - [c83]Qinqing Liu, Fei Dou
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. IJCAI 2023: 6094-6102 - [c82]Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi:
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS 2023 - 2022
- [j30]Qianqian Tong
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15(9): 319 (2022) - [j29]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: special issue on multi-view learning. Appl. Intell. 52(13): 14591-14594 (2022) - [j28]Qianqian Tong
Calibrating the adaptive learning rate to improve convergence of ADAM. Neurocomputing 481: 333-356 (2022) - [c81]Chandan Chunduru, Chun Jiang Zhu
Heterogeneous Graph Sparsification for Efficient Representation Learning. BIBM 2022: 1891-1896 - [c80]Hongwu Peng
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC 2022: 1135-1140 - [i21]Hongwu Peng
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR abs/2208.03646 (2022) - [i20]Aaron Palmer, Zhiyi Chi, Derek Aguiar
Auto-Encoding Goodness of Fit. CoRR abs/2210.06546 (2022) - [i19]Chandan Chunduru, Chun Jiang Zhu
Heterogeneous Graph Sparsification for Efficient Representation Learning. CoRR abs/2211.07518 (2022) - 2021
- [j27]Chao Shang, Qinqing Liu, Qianqian Tong
Multi-view spectral graph convolution with consistent edge attention for molecular modeling. Neurocomputing 445: 12-25 (2021) - [j26]Fei Dou
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8(8): 6519-6535 (2021) - [j25]Qianqian Tong
Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. 101: 102721 (2021) - [j24]Guoqing Chao
A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. 2(2): 146-168 (2021) - [j23]Chaoqun Yue
Fusing Location Data for Depression Prediction. IEEE Trans. Big Data 7(2): 355-370 (2021) - [c79]Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan:
Differentially Private and Communication Efficient Collaborative Learning. AAAI 2021: 7219-7227 - [c78]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI 2021: 11193-11201 - [c77]Hongwu Peng
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 2021: 1-7 - [c76]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. ICLR 2021 - [c75]Chunjiang Zhu, Qinqing Liu, Jinbo Bi:
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. ICML 2021: 12890-12900 - [c74]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
Against Membership Inference Attack: Pruning is All You Need. IJCAI 2021: 3141-3147 - [c73]Chun Jiang Zhu
Communication Efficient Distributed Hypergraph Clustering. SIGIR 2021: 2131-2135 - [i18]Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. CoRR abs/2101.00052 (2021) - [i17]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. CoRR abs/2101.06861 (2021) - [i16]Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi:
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR abs/2103.04413 (2021) - [i15]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR abs/2104.05613 (2021) - [i14]Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR abs/2109.06355 (2021) - 2020
- [j22]Dina Abdelhafiz
Convolutional neural network for automated mass segmentation in mammography. BMC Bioinform. 21-S(1): 192 (2020) - [j21]Chun Jiang Zhu
Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. J. Chem. Inf. Model. 60(12): 6167-6184 (2020) - [j20]Soumitra Pal
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143: 47-66 (2020) - [c72]Guannan Liang, Qianqian Tong
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI 2020: 1585-1592 - [c71]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM 2020: 285-294 - [c70]Guannan Liang, Qianqian Tong
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM 2020: 342-351 - [c69]Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran:
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN 2020: 1-8 - [i13]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR abs/2008.04500 (2020) - [i12]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR abs/2008.13578 (2020) - [i11]Qianqian Tong, Guannan Liang, Jinbo Bi:
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. CoRR abs/2009.06557 (2020) - [i10]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR abs/2009.06562 (2020) - [i9]Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi:
Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR abs/2011.00667 (2020)
2010 – 2019
- 2019
- [j19]Chun Jiang Zhu
On the VC-dimension of unique round-trip shortest path systems. Inf. Process. Lett. 145: 1-5 (2019) - [j18]Guoqing Chao
Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. 494: 278-293 (2019) - [c68]Chao Shang, Yun Tang
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI 2019: 3060-3067 - [c67]Chun Jiang Zhu
Communication-Optimal Distributed Dynamic Graph Clustering. AAAI 2019: 5957-5964 - [c66]Dina Abdelhafiz
Residual Deep Learning System for Mass Segmentation and Classification in Mammography. BCB 2019: 475-484 - [c65]Chun Jiang Zhu
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM 2019: 330-333 - [c64]Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi:
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. ICML 2019: 7624-7633 - [e1]Illhoi Yoo, Jinbo Bi, Xiaohua Hu:
2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019. IEEE 2019, ISBN 978-1-7281-1867-3 [contents] - [i8]Qianqian Tong, Guannan Liang, Jinbo Bi:
Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. CoRR abs/1908.00700 (2019) - 2018
- [j17]Jin Lu
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 21:1-21:21 (2018) - [j16]Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 195:1-195:27 (2018) - [c63]Ko-Shin Chen, Tingyang Xu, Jinbo Bi:
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI 2018: 2135-2142 - [c62]Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi:
Convolutional Neural Network for Automated Mass Segmentation in Mammography. ICCABS 2018: 1 - [c61]Fei Dou, Jin Lu
Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS 2018: 166-174 - [c60]Aaron Palmer, Dipak K. Dey, Jinbo Bi:
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI 2018: 1009-1019 - [i7]Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. CoRR abs/1811.04441 (2018) - [i6]Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. CoRR abs/1811.06072 (2018) - 2017
- [j15]Xin Wang
Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 564-575 (2017) - [c59]Jin Lu
Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM 2017: 392-397 - [c58]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu
VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData 2017: 766-775 - [c57]Tingyang Xu
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c56]Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han:
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CHASE 2017: 195-204 - [c55]Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han:
Gait-Based Continuous Authentication Using Multimodal Learning. CHASE 2017: 290-291 - [c54]Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu
Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [i5]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi:
VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR abs/1708.06724 (2017) - [i4]Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multi-View Clustering. CoRR abs/1712.06246 (2017) - 2016
- [j14]Jiangwen Sun, Zongliang Jiang
A cross-species bi-clustering approach to identifying conserved co-regulated genes. Bioinform. 32(12): 137-146 (2016) - [j13]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song:
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17: 80:1-80:33 (2016) - [c53]Asma Ahmad Farhan
Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. CHASE 2016: 264-273 - [c52]Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi:
A Sparse Interactive Model for Matrix Completion with Side Information. NIPS 2016: 4071-4079 - [c51]Asma Ahmad Farhan
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health 2016: 30-37 - [i3]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR abs/1610.07184 (2016) - [i2]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. CoRR abs/1610.07563 (2016) - [i1]Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka:
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CoRR abs/1612.02562 (2016) - 2015
- [j12]Xin Wang, Tulio A. Valdez
Detecting tympanostomy tubes from otoscopic images via offline and online training. Comput. Biol. Medicine 61: 107-118 (2015) - [j11]Jinbo Bi, Xin Wang
Learning classifiers from dual annotation ambiguity via a min-max framework. Neurocomputing 151: 891-904 (2015) - [c50]Tingyang Xu
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM 2015: 131-134 - [c49]Jiangwen Sun, Jin Lu
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML 2015: 757-766 - [c48]Tingyang Xu
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD 2015: 1345-1354 - 2014
- [j10]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases. IEEE J. Biomed. Health Informatics 18(2): 548-554 (2014) - [c47]Jinbo Bi, Jiangwen Sun, Tingyang Xu
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM 2014: 1-7 - [c46]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs. BIBM 2014: 340-343 - [c45]Tingyang Xu
Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI 2014: 101-108 - [c44]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. NIPS 2014: 2411-2419 - 2013
- [j9]Subrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, Sudipta Pathak:
Efficient techniques for genotype-phenotype correlational analysis. BMC Medical Informatics Decis. Mak. 13: 41 (2013) - [j8]Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli:
A machine learning approach to college drinking prediction and risk factor identification. ACM Trans. Intell. Syst. Technol. 4(4): 72:1-72:24 (2013) - [c43]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Multi-view biclustering for genotype-phenotype association studies of complex diseases. BIBM 2013: 316-321 - [c42]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. KDD 2013: 811-819 - 2012
- [c41]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
A multi-objective program for quantitative subtyping of clinically relevant phenotypes. BIBM 2012: 1-6 - [c40]Jinbo Bi, Arun Abraham:
An intelligent web-based decision support tool for enhancing asthma guideline adherence. IHI 2012: 51-60 - [c39]Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli:
1-norm support vector machine for college drinking risk factor identification. IHI 2012: 651-660 - 2011
- [j7]Shipeng Yu, Jinbo Bi, Jieping Ye:
Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. 22(3): 372-392 (2011) - [c38]Le Lu
Effective 3D object detection and regression using probabilistic segmentation features in CT images. CVPR 2011: 1049-1056 - [c37]Jinbo Bi, Dijia Wu, Le Lu
AdaBoost on low-rank PSD matrices for metric learning. CVPR 2011: 2617-2624 - [c36]Meizhu Liu, Le Lu
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) 2011: 75-82 - 2010
- [j6]Jinbo Bi, Dengyuan Chen:
Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation. Comput. Math. Appl. 60(7): 1881-1887 (2010) - [c35]Dijia Wu, Le Lu
Stratified learning of local anatomical context for lung nodules in CT images. CVPR 2010: 2791-2798 - [c34]Le Lu
Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. MCV 2010: 118-129 - [p1]Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, Marcos Salganicoff:
Lung Nodule Detection. ImageCLEF 2010: 415-434
2000 – 2009
- 2009
- [c33]Dijia Wu, Jinbo Bi, Kim L. Boyer:
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR 2009: 1359-1366 - [c32]Le Lu
Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. ICCV 2009: 2021-2028 - [c31]Yimo Tao, Xiang Sean Zhou, Jinbo Bi, Anna Jerebkoa, Matthias Wolf, Marcos Salganicoff, Arun Krishnan:
An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification. Medical Imaging: Computer-Aided Diagnosis 2009: 726007 - [c30]Le Lu
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) 2009: 1009-1016 - 2008
- [c29]Kazunori Okada
Stratified regularity measures with Jensen-Shannon divergence. CVPR Workshops 2008: 1-8 - [c28]Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao:
Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML 2008: 808-815 - [c27]Lucian Vlad Lita, Shipeng Yu, Radu Stefan Niculescu, Jinbo Bi:
Large Scale Diagnostic Code Classification for Medical Patient Records. IJCNLP 2008: 877-882 - [c26]Bernard Ghanem
Reduction of lymph tissue false positives in pulmonary embolism detection. Medical Imaging: Computer-Aided Diagnosis 2008: 69151C - [c25]Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao:
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) 2008: 117-132 - 2007
- [c24]Jinbo Bi, Tao Xiong:
A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. AAAI 2007: 522-527 - [c23]Jinbo Bi, Jianming Liang
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR 2007 - [c22]Murat Dundar, Jinbo Bi:
Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR 2007 - [c21]Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao:
Automatic medical coding of patient records via weighted ridge regression. ICMLA 2007: 260-265 - [c20]Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao:
Learning Classifiers When the Training Data Is Not IID. IJCAI 2007: 756-761 - [c19]Jianming Liang
Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI 2007: 630-641 - [c18]Anna K. Jerebko, Gerwin P. Schmidt, Xiang Sean Zhou, Jinbo Bi, Vikram Anand, Jiamin Liu, Stefan Schoenberg, Ingo Schmuecking, Berthold Kiefer, Arun Krishnan:
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI. IPMI 2007: 713-724 - [c17]R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich:
LungCAD: a clinically approved, machine learning system for lung cancer detection. KDD 2007: 1033-1037 - [c16]Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao:
Training a CAD classifier with correlated data. Medical Imaging: Computer-Aided Diagnosis 2007: 65140H - [c15]Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky:
Probabilistic Joint Feature Selection for Multi-task Learning. SDM 2007: 332-342 - 2006
- [j5]Yixin Chen, Jinbo Bi, James Ze Wang
MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1931-1947 (2006) - [j4]Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff:
On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. 8(2): 39-46 (2006) - [c14]Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu:
Efficient model selection for regularized linear discriminant analysis. CIKM 2006: 532-539 - [c13]Kai Yu, Jinbo Bi, Volker Tresp:
Active learning via transductive experimental design. ICML 2006: 1081-1088 - [c12]Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao:
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. KDD 2006: 837-844 - 2005
- [c11]Jinbo Bi, Yixin Chen, James Ze Wang
A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) 2005: 1121-1128 - [c10]Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao:
Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM 2005: 569-572 - [c9]Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz:
Sparse classifiers for Automated HeartWall Motion Abnormality Detection. ICMLA 2005: 194-200 - [c8]Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao:
Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM 2005: 476-480 - 2004
- [c7]Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao:
A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML 2004 - [c6]Jinbo Bi, Tong Zhang, Kristin P. Bennett:
Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526 - [c5]Jinbo Bi, Tong Zhang:
Support Vector Classification with Input Data Uncertainty. NIPS 2004: 161-168 - 2003
- [j3]Jinbo Bi, Kristin P. Bennett:
A geometric approach to support vector regression. Neurocomputing 55(1-2): 79-108 (2003) - [j2]Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song:
Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. 3: 1229-1243 (2003) - [c4]Jinbo Bi, Vladimir Vapnik:
Learning with Rigorous Support Vector Machines. COLT 2003: 243-257 - [c3]Jinbo Bi:
Multi-Objective Programming in SVMs. ICML 2003: 35-42 - [c2]Jinbo Bi, Kristin P. Bennett:
Regression Error Characteristic Curves. ICML 2003: 43-50 - 2002
- [j1]Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. 42(6): 1347-1357 (2002) - 2001
- [c1]Jinbo Bi, Kristin P. Bennett:
Duality, Geometry, and Support Vector Regression. NIPS 2001: 593-600
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 21:02 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: