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2020 – today
- 2024
- [j62]Xihaier Luo, Seyednami Niyakan, Patrick R. Johnstone, Sean McCorkle, Gilchan Park
, Vanessa López-Marrero
Pathway-based analyses of gene expression profiles at low doses of ionizing radiation. Frontiers Bioinform. 4 (2024) - [j61]A. N. M. Nafiz Abeer
Multi-objective latent space optimization of generative molecular design models. Patterns 5(10): 101042 (2024) - [c51]Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian:
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting. AISTATS 2024: 4105-4113 - [c50]Sanket R. Jantre
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. ICASSP 2024: 5330-5334 - [c49]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. ICML 2024 - [i19]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data. CoRR abs/2401.16936 (2024) - [i18]Pei-Hung Chung, Shuhan He, Norawit Kijpaisalratana, Abdel-badih el Ariss, Byung-Jun Yoon:
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification. CoRR abs/2402.10940 (2024) - [i17]A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. CoRR abs/2405.00202 (2024) - [i16]Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon:
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution. CoRR abs/2405.12202 (2024) - [i15]A. N. M. Nafiz Abeer, Sanket R. Jantre, Nathan M. Urban, Byung-Jun Yoon:
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders. CoRR abs/2405.20573 (2024) - [i14]Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
Understanding Uncertainty-based Active Learning Under Model Mismatch. CoRR abs/2408.13690 (2024) - [i13]Alif Bin Abdul Qayyum, Xihaier Luo, Nathan M. Urban, Xiaoning Qian, Byung-Jun Yoon:
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data. CoRR abs/2409.17367 (2024) - [i12]Gilchan Park, Paul Baity, Byung-Jun Yoon, Adolfy Hoisie:
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features. CoRR abs/2410.04251 (2024) - 2023
- [j60]Qihua Chen
Neural message-passing for objective-based uncertainty quantification and optimal experimental design. Eng. Appl. Artif. Intell. 123(Part A): 106171 (2023) - [j59]Puhua Niu
Sensitivity Analysis of Genome-Scale Metabolic Flux Prediction. J. Comput. Biol. 30(7): 751-765 (2023) - [j58]Xiaoning Qian
Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery. Patterns 4(11): 100863 (2023) - [j57]Hyun-Myung Woo
Optimal decision-making in high-throughput virtual screening pipelines. Patterns 4(11): 100875 (2023) - [j56]Francis J. Alexander, Meifeng Lin, Xiaoning Qian, Byung-Jun Yoon:
Accelerating scientific discoveries through data-driven innovations. Patterns 4(11): 100876 (2023) - [j55]Omar Maddouri
Geometric Affinity Propagation for Clustering With Network Knowledge. IEEE Trans. Knowl. Data Eng. 35(11): 11419-11436 (2023) - [c48]Alif Bin Abdul Qayyum
Enhancing Cryo-EM Particle Picking Through Consistency Model-based Latent Space Denoiser. BCB 2023: 72:1 - [c47]Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL 2023: 255-264 - [e1]May D. Wang, Byung-Jun Yoon:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023. ACM 2023 [contents] - [i11]Xihaier Luo, Sean McCorkle, Gilchan Park
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. CoRR abs/2301.01769 (2023) - [i10]Line Pouchard, Kristofer G. Reyes
A Rigorous Uncertainty-Aware Quantification Framework Is Essential for Reproducible and Replicable Machine Learning Workflows. CoRR abs/2301.05763 (2023) - [i9]Gilchan Park
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge. CoRR abs/2307.08813 (2023) - [i8]Sanket R. Jantre
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. CoRR abs/2309.03061 (2023) - 2022
- [j54]Omar Maddouri
Deep graph representations embed network information for robust disease marker identification. Bioinform. 38(4): 1075-1086 (2022) - [j53]Omar Maddouri
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. Patterns 3(3): 100428 (2022) - [j52]Paul Chong, Byung-Jun Yoon, Debbie Lai, Michael Carlson, Jarone Lee, Shuhan He:
Looking back on forward-looking COVID models. Patterns 3(7): 100492 (2022) - [c46]Xihaier Luo, Sean McCorkle, Gilchan Park
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. BIBM 2022: 2366-2374 - [c45]Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander, Edward R. Dougherty, Xiaoning Qian:
Adaptive Group Testing with Mismatched Models. ICASSP 2022: 4533-4537 - [i7]A. N. M. Nafiz Abeer, Nathan M. Urban, M. Ryan Weil, Francis J. Alexander, Byung-Jun Yoon:
Multi-Objective Latent Space Optimization of Generative Molecular Design Models. CoRR abs/2203.00526 (2022) - [i6]Qihua Chen, Hyun-Myung Woo, Xuejin Chen, Byung-Jun Yoon:
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design. CoRR abs/2203.07120 (2022) - 2021
- [j51]Youngjoon Hong
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. IEEE Access 9: 53804-53810 (2021) - [j50]Byung-Jun Yoon
Quantifying the Multi-Objective Cost of Uncertainty. IEEE Access 9: 80351-80359 (2021) - [j49]Hyun-Myung Woo
MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes. Bioinform. 37(10): 1401-1410 (2021) - [j48]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j47]Hyun-Myung Woo
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning. IEEE Trans. Signal Process. 69: 6473-6487 (2021) - [c44]Ziyu Xiang
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. AAAI 2021: 10414-10421 - [c43]Woo Seok Kim, Hyun-Myung Woo, M. Ibrahim Khot
AI-Enabled High-Throughput Wireless Telemetry for Effective Photodynamic Therapy. ACSCC 2021: 811-815 - [c42]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty. AISTATS 2021: 3970-3978 - [c41]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Uncertainty-aware Active Learning for Optimal Bayesian Classifier. ICLR 2021 - [c40]Guang Zhao, Edward R. Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian:
Efficient Active Learning for Gaussian Process Classification by Error Reduction. NeurIPS 2021: 9734-9746 - [i5]Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon:
Geometric Affinity Propagation for Clustering with Network Knowledge. CoRR abs/2103.14376 (2021) - [i4]Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning. CoRR abs/2109.02150 (2021) - [i3]Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Optimal Decision Making in High-Throughput Virtual Screening Pipelines. CoRR abs/2109.11683 (2021) - 2020
- [j46]Yijie Wang, Hyundoo Jeong, Byung-Jun Yoon, Xiaoning Qian:
ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks. BMC Genom. 21(S-10) (2020) - [j45]Guang Zhao
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems. IEEE Trans. Signal Process. 68: 3849-3859 (2020) - [c39]Hyun-Myung Woo
Network-Based RNA Structural Alignment Through Optimal Local Neighborhood Matching. ACSSC 2020: 501-505 - [c38]Hyun-Myung Woo
Machine Learning Enabled Adaptive Wireless Power Transmission System for Neuroscience Study. ACSSC 2020: 808-812 - [i2]Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon:
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations. CoRR abs/2007.06117 (2020) - [i1]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the multi-objective cost of uncertainty. CoRR abs/2010.04653 (2020)
2010 – 2019
- 2019
- [j44]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
RNAdetect: efficient computational detection of novel non-coding RNAs. Bioinform. 35(7): 1133-1141 (2019) - [j43]Chun-Chi Chen, Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
TOPAS: network-based structural alignment of RNA sequences. Bioinform. 35(17): 2941-2948 (2019) - [j42]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal
Selected research articles from the 2018 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 20-S(12): 316:1-316:3 (2019) - 2018
- [j41]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci, Ranadip Pal
Selected research articles from the 2017 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 19-S(3): 69:1-69:4 (2018) - [j40]Noushin Ghaffari, Osama A. Arshad, Hyundoo Jeong, John Thiltges, Michael F. Criscitiello, Byung-Jun Yoon, Aniruddha Datta, Charles D. Johnson
Examining De Novo Transcriptome Assemblies via a Quality Assessment Pipeline. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 494-505 (2018) - [j39]Mansuck Kim
Computational Prediction of Pathogenic Network Modules in Fusarium verticillioides. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 506-515 (2018) - [c37]Hyun-Myung Woo
Comprehensive Updates in Network Synthesis Models to Create An Improved Benchmark for Network Alignment Algorithms. BCB 2018: 587-588 - 2017
- [j38]Chun-Chi Chen, Xiaoning Qian, Byung-Jun Yoon:
Effective computational detection of piRNAs using n-gram models and support vector machine. BMC Bioinform. 18(14): 103-109 (2017) - [j37]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
CUFID-query: accurate network querying through random walk based network flow estimation. BMC Bioinform. 18(14): 133-146 (2017) - [j36]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
Selected research articles from the 2016 International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC). BMC Bioinform. 18(S-4): 1-3 (2017) - [j35]Hyundoo Jeong, Byung-Jun Yoon:
SEQUOIA: significance enhanced network querying through context-sensitive random walk and minimization of network conductance. BMC Syst. Biol. 11(3): 20:1-20:11 (2017) - [j34]Chun-Chi Chen, Noushin Ghaffari, Xiaoning Qian, Byung-Jun Yoon:
Optimal hybrid sequencing and assembly: Feasibility conditions for accurate genome reconstruction and cost minimization strategy. Comput. Biol. Chem. 69: 153-163 (2017) - [c36]Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci:
CNB-MAC'17: The Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control. BCB 2017: 750 - 2016
- [j33]Navadon Khunlertgit
Incorporating topological information for predicting robust cancer subnetwork markers in human protein-protein interaction network. BMC Bioinform. 17(S-13): 351 (2016) - [j32]Hyundoo Jeong, Xiaoning Qian, Byung-Jun Yoon:
Effective comparative analysis of protein-protein interaction networks by measuring the steady-state network flow using a Markov model. BMC Bioinform. 17(S-13): 395 (2016) - [c35]Hyundoo Jeong, Byung-Jun Yoon:
SEQUOIA: Significance enhanced network querying through context-sensitive random walk and minimization of network conductance. BCB 2016: 535-536 - [c34]Yijie Wang, Byung-Jun Yoon, Xiaoning Qian:
Co-segmentation of multiple images through random walk on graphs. ICASSP 2016: 1811-1815 - [p1]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Inference of gene regulatory networks: validation and uncertainty. Big Data over Networks 2016: 337-364 - 2015
- [j31]Roozbeh Dehghannasiri
Erratum to: Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16: 410:1 (2015) - [j30]Mansuck Kim
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides. BMC Bioinform. 16(S13): S12 (2015) - [j29]Roozbeh Dehghannasiri
Efficient experimental design for uncertainty reduction in gene regulatory networks. BMC Bioinform. 16(S13): S2 (2015) - [j28]Hyundoo Jeong, Byung-Jun Yoon:
Accurate multiple network alignment through context-sensitive random walk. BMC Syst. Biol. 9(S-1): S7 (2015) - [j27]Ariana Broumand, Mohammad Shahrokh Esfahani
Discrete optimal Bayesian classification with error-conditioned sequential sampling. Pattern Recognit. 48(11): 3766-3782 (2015) - [j26]Hyundoo Jeong, Byung-Jun Yoon:
Effective Estimation of Node-to-Node Correspondence Between Different Graphs. IEEE Signal Process. Lett. 22(6): 661-665 (2015) - [j25]Roozbeh Dehghannasiri
Optimal Experimental Design for Gene Regulatory Networks in the Presence of Uncertainty. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 938-950 (2015) - [c33]Hyundoo Jeong, Byung-Jun Yoon:
Identifying molecular complexes in biological networks through context sensitive network querying. BCB 2015: 647 - [c32]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational identification of key functional genes associated with fusarium verticillioides pathogenicity. BCB 2015: 648 - 2014
- [j24]Byung-Jun Yoon:
Sequence alignment by passing messages. BMC Genom. 15(S-1): S14 (2014) - [j23]Navadon Khunlertgit
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis. EURASIP J. Bioinform. Syst. Biol. 2014: 19 (2014) - [c31]Navadon Khunlertgit, Byung-Jun Yoon:
Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis. BCB 2014: 681 - [c30]Hyundoo Jeong, Byung-Jun Yoon:
A novel context-sensitive random walk model for estimating node correspondence between two biological networks. BCB 2014: 684 - [c29]Mansuck Kim, Huan Zhang, Charles Woloshuk, Won-Bo Shim, Byung-Jun Yoon:
Computational identification of functional network modules associated with the pathogenicity of Fusarium verticillioides. BCB 2014: 685 - [c28]Noushin Ghaffari, Osama A. Arshad, Hyundoo Jeong, John Thiltges, Michael F. Criscitiello, Byung-Jun Yoon, Aniruddha Datta, Charles D. Johnson
De novo transcriptome assemblies and annotation for pacifie whiteleg shrimp. GlobalSIP 2014: 1342-1343 - [c27]Roozbeh Dehghannasiri
Computationally efficient experimental design strategy for reducing gene network uncertainty. GlobalSIP 2014: 1380-1381 - 2013
- [j22]Navadon Khunlertgit
Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference. Adv. Bioinformatics 2013: 618461:1-618461:8 (2013) - [j21]Mohammad Shahrokh Esfahani
Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification. Pattern Recognit. 46(10): 2783-2797 (2013) - [j20]Byung-Jun Yoon, Xiaoning Qian, Edward R. Dougherty:
Quantifying the Objective Cost of Uncertainty in Complex Dynamical Systems. IEEE Trans. Signal Process. 61(9): 2256-2266 (2013) - [c26]Priyanka J. Raja, Justin Jacob, Byung-Jun Yoon, Geoffrey Bartholomeusz, Arvind Rao:
Automated image analysis and inference of gene function from high - Content screens. EUSIPCO 2013: 1-5 - [c25]Roozbeh Dehghannasiri
Designing experiments for optimal reduction of uncertainty in gene regulatory networks. GENSiPS 2013: 88-89 - [c24]Navadon Khunlertgit
Finding robust subnetwork markers that improve cross-dataset performance of cancer classification. GlobalSIP 2013: 94 - 2012
- [j19]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
RESQUE: Network reduction using semi-Markov random walk scores for efficient querying of biological networks. Bioinform. 28(16): 2129-2136 (2012) - [j18]Byung-Jun Yoon, Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian:
Comparative Analysis of Biological Networks: Hidden Markov model and Markov chain-based approach. IEEE Signal Process. Mag. 29(1): 22-34 (2012) - [c23]Amir Nikooienejad
Fast DNA barcode generating algorithm using Radix Coding method. GENSiPS 2012: 26-30 - [c22]Navadon Khunlertgit
Finding robust pathway markers for cancer classification. GENSiPS 2012: 147-150 - [c21]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Structural intervention of gene regulatory networks by general rank-k matrix perturbation. ICASSP 2012: 729-732 - [c20]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract). RECOMB 2012: 239-240 - 2011
- [j17]Byung-Jun Yoon:
Enhanced stochastic optimization algorithm for finding effective multi-target therapeutics. BMC Bioinform. 12(S-1): S18 (2011) - [j16]Xiaoning Qian, Byung-Jun Yoon:
Comparative analysis of protein interaction networks reveals that conserved pathways are susceptible to HIV-1 interception. BMC Bioinform. 12(S-1): S19 (2011) - [j15]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
PicXAA-R: Efficient structural alignment of multiple RNA sequences using a greedy approach. BMC Bioinform. 12(S-1): S38 (2011) - [j14]Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores. BMC Bioinform. 12(S-10): S6 (2011) - [j13]Mohammad Shahrokh Esfahani
Probabilistic reconstruction of the tumor progression process in gene regulatory networks in the presence of uncertainty. BMC Bioinform. 12(S-10): S9 (2011) - [j12]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
PicXAA-Web: a web-based platform for non-progressive maximum expected accuracy alignment of multiple biological sequences. Nucleic Acids Res. 39(Web-Server-Issue): 8-12 (2011) - [j11]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
A Novel Low-Complexity HMM Similarity Measure. IEEE Signal Process. Lett. 18(2): 87-90 (2011) - [c19]Byung-Jun Yoon, Xiaoning Qian:
Session TA8a1: Signal processing methods for representation, analysis, and control of biological systems. ACSCC 2011: 995-996 - [c18]Xiaoning Qian, Byung-Jun Yoon, Edward R. Dougherty:
Uncertainty-based essentiality in gene regulatory networks. GENSiPS 2011: 17-20 - [c17]Mansuck Kim
Efficient combinatorial drug optimization through stochastic search. GENSiPS 2011: 33-35 - [c16]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
Probabilistic consistency transformation for multiple alignment of biological networks. GENSiPS 2011: 52-53 - [c15]Mohammad Shahrokh Esfahani, Amin Zollanvari, Byung-Jun Yoon, Edward R. Dougherty:
Designing enhanced classifiers using prior process knowledge: Regularized maximum-likelihood. GENSiPS 2011: 91-94 - [c14]Byung-Jun Yoon:
Finding effective subnetwork markers for cancer by passing messages. GENSiPS 2011: 95-96 - [c13]Xiaoning Qian, Byung-Jun Yoon:
Contour-based hidden Markov model to segment 2D ultrasound images. ICASSP 2011: 705-708 - [c12]Sayed Mohammad Ebrahim Sahraeian, Byung-Jun Yoon:
Fast network querying algorithm for searching large-scale biological networks. ICASSP 2011: 6008-6011 - 2010
- [j10]Junjie Su, Byung-Jun Yoon, Edward R. Dougherty:
Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network. BMC Bioinform. 11(S-6): S8 (2010) - [c11]Junjie Su, Byung-Jun Yoon:
Identifying reliable subnetwork markers in protein-protein interaction network for classification of breast cancer metastasis. ICASSP 2010: 525-528 - [c10]Xiaoning Qian, Byung-Jun Yoon:
Shape matching based on graph alignment using hidden Markov models. ICASSP 2010: 934-937
2000 – 2009
- 2009
- [j9]Byung-Jun Yoon:
Efficient Alignment of RNAs with Pseudoknots Using Sequence Alignment Constraints. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j8]Xiaoning Qian, Sing-Hoi Sze, Byung-Jun Yoon:
Querying Pathways in Protein Interaction Networks Based on Hidden Markov Models. J. Comput. Biol. 16(2): 145-157 (2009) - 2008
- [j7]Byung-Jun Yoon, P. P. Vaidyanathan:
Fast Structural Alignment of RNAs by Optimizing the Adjoining Order of Profile-csHMMs. IEEE J. Sel. Top. Signal Process. 2(3): 400-411 (2008) - [j6]Byung-Jun Yoon, Palghat P. Vaidyanathan:
Structural Alignment of RNAs Using Profile-csHMMs and Its Application to RNA Homology Search: Overview and New Results. IEEE Trans. Autom. Control. 53: 10-25 (2008) - [c9]Byung-Jun Yoon, Henrique S. Malvar:
Coding Overcomplete Representations of Audio Using the MCLT. DCC 2008: 152-161 - 2007
- [j5]Byung-Jun Yoon, P. P. Vaidyanathan:
Computational identification and analysis of noncoding RNAs - Unearthing the buried treasures in the genorne. IEEE Signal Process. Mag. 24(1): 64-74 (2007) - [c8]Byung-Jun Yoon, Ivan Tashev, Alex Acero:
Robust Adaptive Beamforming Algorithm using Instantaneous Direction of Arrival with Enhanced Noise Suppression Capability. ICASSP (1) 2007: 133-136 - [c7]Byung-Jun Yoon, P. P. Vaidyanathan:
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters. ICASSP (1) 2007: 345-348 - 2006
- [j4]Byung-Jun Yoon, Henrique S. Malvar:
A practical approach for the design of nonuniform lapped transforms. IEEE Signal Process. Lett. 13(8): 469-472 (2006) - [j3]Byung-Jun Yoon, P. P. Vaidyanathan:
Context-Sensitive Hidden Markov Models for Modeling Long-Range Dependencies in Symbol Sequences. IEEE Trans. Signal Process. 54(11): 4169-4184 (2006) - [c6]Byung-Jun Yoon, P. P. Vaidyanathan:
Profile Context-Sensitive HMMs for Probabilistic Modeling of Sequences With Complex Correlations. ICASSP (3) 2006: 317-320 - 2005
- [j2]Byung-Jun Yoon, P. P. Vaidyanathan:
A multirate DSP model for estimation of discrete probability density functions. IEEE Trans. Signal Process. 53(1): 252-264 (2005) - [c5]Byung-Jun Yoon, P. P. Vaidyanathan:
Optimal alignment algorithm for context-sensitive hidden Markov models. ICASSP (4) 2005: 293-296 - 2004
- [j1]P. P. Vaidyanathan, Byung-Jun Yoon:
The role of signal-processing concepts in genomics and proteomics. J. Frankl. Inst. 341(1-2): 111-135 (2004) - [c4]Byung-Jun Yoon, Palghat P. Vaidyanathan:
Wavelet-based denoising by customized thresholding. ICASSP (2) 2004: 925-928 - [c3]Byung-Jun Yoon, Palghat P. Vaidyanathan:
Discrete pdf estimation in the presence of noise. ISCAS (3) 2004: 321-324 - 2003
- [c2]Palghat P. Vaidyanathan, Byung-Jun Yoon:
Discrete probability density estimation using multirate DSP models. ICASSP (6) 2003: 477-480 - [c1]Palghat P. Vaidyanathan, Byung-Jun Yoon:
Discrete probability density estimation using multirate DSP models. ICME 2003: 853-856
Coauthor Index
[j62] [c51] [c50] [c49] [i19] [i16] [i14] [i13] [j59] [j58] [j57] [j56] [j55] [c48] [i11] [i8] [j54] [j53] [c46] [c45] [j50] [c44] [c42] [c41] [c40] [i5] [i4] [i3] [j46] [j45] [i1] [j44] [j43] [j42] [j41] [j38] [j37] [j36] [j34] [c36] [j32] [c34] [p1] [j20] [j18] [c21] [j16] [j14] [c19] [c18] [c13] [c10] [j8]
P. P. Vaidyanathan
aka: Palghat P. Vaidyanathan
aka: Palghat P. Vaidyanathan
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