ask others

• Google
• Google Scholar
• Semantic Scholar
• Internet Archive Scholar
• CiteSeerX
• ORCID

• 2025
• 
  [c31]
  Yuan Wang,Ouxiang Li,Tingting Mu,Yanbin Hao,Kuien Liu,Xiang Wang,Xiangnan He:
  Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters.CVPR2025:28759-28768
• 
  [c30]
  Haoran Dou,Jinghan Huang,Arezoo Zakeri,Zherui Zhou,Tingting Mu,Jinming Duan,Alejandro F. Frangi:
  4D CardioSynth: Synthesising Dynamic Virtual Heart Populations Through Spatiotemporal Disentanglement.MICCAI (3)2025:3-12
• 
  [c29]
  Kaiyue Wu,Xiao-Jun Zeng,Tingting Mu:
  Group-Agent Reinforcement Learning with Heterogeneous Agents.UAI2025:4597-4617
• 
  [i20]
  Kaiyue Wu,Xiao-Jun Zeng,Tingting Mu:
  Group-Agent Reinforcement Learning with Heterogeneous Agents.CoRRabs/2501.11818 (2025)
• 
  [i19]
  Mingyang Li,Viktor Schlegel,Tingting Mu,Wuraola Oyewusi,Kai Kang,Goran Nenadic:
  Evaluation and LLM-Guided Learning of ICD Coding Rationales.CoRRabs/2508.16777 (2025)
• 
  [i18]
  Mingyang Li,Viktor Schlegel,Tingting Mu,Warren Del-Pinto,Goran Nenadic:
  Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs.CoRRabs/2509.09699 (2025)
• 2024
• 
  [j53]
  Jinmeng Wu,Tingting Mu,Jeyarajan Thiyagalingam,Hanyu Hong,Yanbin Hao,Tianxu Zhang,John Yannis Goulermas:
  Iterative Semantic Transformer by Greedy Distillation for Community Question Answering.IEEE ACM Trans. Audio Speech Lang. Process.32:3576-3588 (2024)
• 
  [c28]
  Jingxuan He,Lechao Cheng,Chaowei Fang,Zunlei Feng,Tingting Mu,Mingli Song:
  Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation.AAAI2024:2085-2093
• 
  [c27]
  Xia Cui,Terry Hanley,Muj Choudhury,Tingting Mu:
  Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning.IJCNN2024:1-8
• 
  [c26]
  Jiyang Li,Lechao Cheng,Zhangye Wang,Tingting Mu,Jingxuan He:
  LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field.ACM Multimedia2024:476-485
• 
  [i17]
  Jiyang Li,Lechao Cheng,Zhangye Wang,Tingting Mu,Jingxuan He:
  LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field.CoRRabs/2404.08966 (2024)
• 
  [i16]
  Yuan Wang,Ouxiang Li,Tingting Mu,Yanbin Hao,Kuien Liu,Xiang Wang,Xiangnan He:
  Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters.CoRRabs/2412.06143 (2024)
• 2023
• 
  [j52]
  Huw Rhys Jones,Andrei C. Popescu,Yusuf Sulehman,Tingting Mu:
  Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance.IEEE Access11:23909-23925 (2023)
• 
  [j51]
  Danny Wood,Tingting Mu,Andrew M. Webb,Henry W. J. Reeve,Mikel Luján,Gavin Brown:
  A Unified Theory of Diversity in Ensemble Learning.J. Mach. Learn. Res.24:359:1-359:49 (2023)
• 
  [j50]
  Yian Deng,Tingting Mu:
  Faster Riemannian Newton-type optimization by subsampling and cubic regularization.Mach. Learn.112(9):3527-3589 (2023)
• 
  [j49]
  Jinmeng Wu,Tingting Mu,Jeyan Thiyagalingam,John Yannis Goulermas:
  Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement.IEEE Trans. Syst. Man Cybern. Syst.53(7):3930-3943 (2023)
• 
  [c25]
  Zhicai Wang,Yanbin Hao,Tingting Mu,Ouxiang Li,Shuo Wang,Xiangnan He:
  Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning.CVPR2023:19893-19902
• 
  [c24]
  Yian Deng,Tingting Mu:
  Understanding and Improving Ensemble Adversarial Defense.NeurIPS2023
• 
  [c23]
  Ruiyuan Kang,Tingting Mu,Panagiotis Liatsis,Dimitrios C. Kyritsis:
  Physics-Driven ML-Based Modelling for Correcting Inverse Estimation.NeurIPS2023
• 
  [i15]
  Danny Wood,Tingting Mu,Andrew M. Webb,Henry W. J. Reeve,Mikel Luján,Gavin Brown:
  A Unified Theory of Diversity in Ensemble Learning.CoRRabs/2301.03962 (2023)
• 
  [i14]
  Yian Deng,Tingting Mu:
  Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization.CoRRabs/2302.11076 (2023)
• 
  [i13]
  Zhicai Wang,Yanbin Hao,Tingting Mu,Ouxiang Li,Shuo Wang,Xiangnan He:
  Bi-directional Distribution Alignment for Transductive Zero-Shot Learning.CoRRabs/2303.08698 (2023)
• 
  [i12]
  Ruiyuan Kang,Tingting Mu,Panos Liatsis,Dimitrios C. Kyritsis:
  Physics-Driven ML-Based Modelling for Correcting Inverse Estimation.CoRRabs/2309.13985 (2023)
• 
  [i11]
  Yian Deng,Tingting Mu:
  Understanding and Improving Ensemble Adversarial Defense.CoRRabs/2310.18477 (2023)
• 
  [i10]
  Jingxuan He,Lechao Cheng,Chaowei Fang,Zunlei Feng,Tingting Mu,Mingli Song:
  Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation.CoRRabs/2312.08916 (2023)
• 2022
• 
  [j48]
  Meng Wang,Chi Zhang,Shijie Hao,Jun Yu,Tingting Mu:
  Guest Editorial: Intelligent information processing and services in media convergence.Int. J. Intell. Syst.37(5):2931-2933 (2022)
• 
  [j47]
  Weijie Fu,Meng Wang,Shijie Hao,Tingting Mu:
  FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization.IEEE Trans. Big Data8(3):579-591 (2022)
• 
  [j46]
  Xinjian Gao,Tingting Mu,John Yannis Goulermas,Jingkuan Song,Meng Wang:
  Improving Image Similarity Learning by Adding External Memory.IEEE Trans. Knowl. Data Eng.34(10):4874-4887 (2022)
• 
  [c22]
  Danny Wood,Tingting Mu,Gavin Brown:
  Bias-Variance Decompositions for Margin Losses.AISTATS2022:1975-2001
• 
  [c21]
  Zhicai Wang,Yanbin Hao,Xingyu Gao,Hao Zhang,Shuo Wang,Tingting Mu,Xiangnan He:
  Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP.ACM Multimedia2022:6288-6299
• 
  [c20]
  Samuel Pinilla,Tingting Mu,Neil Bourne,Jeyan Thiyagalingam:
  Improved Imaging by Invex Regularizers with Global Optima Guarantees.NeurIPS2022
• 
  [i9]
  Danny Wood,Tingting Mu,Gavin Brown:
  Bias-Variance Decompositions for Margin Losses.CoRRabs/2204.12155 (2022)
• 
  [i8]
  Zhicai Wang,Yanbin Hao,Xingyu Gao,Hao Zhang,Shuo Wang,Tingting Mu,Xiangnan He:
  Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP.CoRRabs/2207.07284 (2022)
• 
  [i7]
  Huw Rhys Jones,Tingting Mu,Andrei C. Popescu,Yusuf Sulehman:
  Data-driven Approaches to Surrogate Machine Learning Model Development.CoRRabs/2210.02631 (2022)
• 2021
• 
  [j45]
  Yang Wang,Meng Fang,Joey Tianyi Zhou,Tingting Mu,Dacheng Tao:
  Introduction to Big Multimodal Multimedia Data with Deep Analytics.ACM Trans. Multim. Comput. Commun. Appl.17(1s):1:1-1:3 (2021)
• 
  [c19]
  Mirantha Jayathilaka,Tingting Mu,Uli Sattler:
  Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings.ICMLA2021:292-297
• 
  [c18]
  Xia Cui,Amila Gamage,Terry Hanley,Tingting Mu:
  Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features.Interspeech2021:1569-1573
• 
  [c17]
  Mirantha Jayathilaka,Tingting Mu,Uli Sattler:
  Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification.MLSMKG@PKDD/ECML2021
• 
  [i6]
  Mirantha Jayathilaka,Tingting Mu,Uli Sattler:
  Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification.CoRRabs/2109.09063 (2021)
• 2020
• 
  [j44]
  Yang Wang,Meng Fang,Joey Tianyi Zhou,Tingting Mu,Dacheng Tao:
  Big Cross-Modal Social Media Data Analytics With Deep Intelligence.IEEE Multim.27(4):6-8 (2020)
• 
  [j43]
  Jinmeng Wu,Tingting Mu,Jeyarajan Thiyagalingam,John Yannis Goulermas:
  Building interactive sentence-aware representation based on generative language model for community question answering.Neurocomputing389:93-107 (2020)
• 
  [j42]
  Xenophon Evangelopoulos,Austin J. Brockmeier,Tingting Mu,John Yannis Goulermas:
  Circular object arrangement using spherical embeddings.Pattern Recognit.103:107192 (2020)
• 
  [j41]
  Xinjian Gao,Zhao Zhang,Tingting Mu,Xudong Zhang,Chaoran Cui,Meng Wang:
  Self-attention driven adversarial similarity learning network.Pattern Recognit.105:107331 (2020)
• 
  [j40]
  Xinjian Gao,Tingting Mu,John Yannis Goulermas,Jeyarajan Thiyagalingam,Meng Wang:
  An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts.IEEE Trans. Image Process.29:3911-3926 (2020)
• 
  [j39]
  Yanbin Hao,Tingting Mu,Richang Hong,Meng Wang,Xueliang Liu,John Yannis Goulermas:
  Cross-Domain Sentiment Encoding through Stochastic Word Embedding.IEEE Trans. Knowl. Data Eng.32(10):1909-1922 (2020)
• 
  [c16]
  Mirantha Jayathilaka,Tingting Mu,Uli Sattler:
  Visual-Semantic Embedding Model Informed by Structured Knowledge.STAIRS@ECAI2020
• 
  [i5]
  Alessio Sarullo,Tingting Mu:
  Zero-Shot Human-Object Interaction Recognition via Affordance Graphs.CoRRabs/2009.01039 (2020)
• 
  [i4]
  Mirantha Jayathilaka,Tingting Mu,Uli Sattler:
  Visual-Semantic Embedding Model Informed by Structured Knowledge.CoRRabs/2009.10026 (2020)

• 2019
• 
  [j38]
  Xenophon Evangelopoulos,Austin J. Brockmeier,Tingting Mu,John Yannis Goulermas:
  Continuation methods for approximate large scale object sequencing.Mach. Learn.108(4):595-626 (2019)
• 
  [j37]
  Haoxin Ma,Zhiwen Qian,Tingting Mu,Shengxian Shi:
  Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning.Sensors19(20):4399 (2019)
• 
  [c15]
  Alessio Sarullo,Tingting Mu:
  On Class Imbalance and Background Filtering in Visual Relationship Detection.IJCNN2019:1-8
• 
  [c14]
  Maolin Li,Arvid Fahlström Myrman,Tingting Mu,Sophia Ananiadou:
  Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks.NAACL-HLT (1)2019:2873-2883
• 
  [i3]
  Alessio Sarullo,Tingting Mu:
  On Class Imbalance and Background Filtering in Visual Relationship Detection.CoRRabs/1903.08456 (2019)
• 
  [i2]
  Maolin Li,Arvid Fahlström Myrman,Tingting Mu,Sophia Ananiadou:
  Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks.CoRRabs/1905.04981 (2019)
• 2018
• 
  [j36]
  Liyun Gong,Tingting Mu,Meng Wang,Hengchang Liu,John Yannis Goulermas:
  Evolutionary nonnegative matrix factorization with adaptive control of cluster quality.Neurocomputing272:237-249 (2018)
• 
  [j35]
  Xinjian Gao,Tingting Mu,John Yannis Goulermas,Meng Wang:
  Attention driven multi-modal similarity learning.Inf. Sci.432:530-542 (2018)
• 
  [j34]
  Tingting Mu,John Yannis Goulermas,Sophia Ananiadou:
  Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods.IEEE Trans. Pattern Anal. Mach. Intell.40(6):1323-1337 (2018)
• 
  [j33]
  Xinjian Gao,Tingting Mu,John Yannis Goulermas,Meng Wang:
  Topic driven multimodal similarity learning with multi-view voted convolutional features.Pattern Recognit.75:223-234 (2018)
• 
  [j32]
  Austin J. Brockmeier,Tingting Mu,Sophia Ananiadou,John Yannis Goulermas:
  Self-Tuned Descriptive Document Clustering Using a Predictive Network.IEEE Trans. Knowl. Data Eng.30(10):1929-1942 (2018)
• 
  [c13]
  Henry W. J. Reeve,Tingting Mu,Gavin Brown:
  Modular Dimensionality Reduction.ECML/PKDD (1)2018:605-619
• 
  [c12]
  Fabrício Firmino de Faria,Ricardo Usbeck,Alessio Sarullo,Tingting Mu,André Freitas:
  Question Answering Mediated by Visual Clues and Knowledge Graphs.WWW (Companion Volume)2018:1937-1939
• 
  [i1]
  Haoxin Ma,Haotian Li,Zhiwen Qian,Shengxian Shi,Tingting Mu:
  VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images.CoRRabs/1811.07124 (2018)
• 2017
• 
  [j31]
  Yu Wu,Tingting Mu,John Yannis Goulermas:
  Translating on pairwise entity space for knowledge graph embedding.Neurocomputing260:411-419 (2017)
• 
  [j30]
  Georgios Kontonatsios,Austin J. Brockmeier,Piotr Przybyla,John McNaught,Tingting Mu,John Yannis Goulermas,Sophia Ananiadou:
  A semi-supervised approach using label propagation to support citation screening.J. Biomed. Informatics72:67-76 (2017)
• 
  [j29]
  Austin J. Brockmeier,Tingting Mu,Sophia Ananiadou,John Yannis Goulermas:
  Quantifying the Informativeness of Similarity Measurements.J. Mach. Learn. Res.18:76:1-76:61 (2017)
• 
  [j28]
  Yu Wu,Tingting Mu,Panos Liatsis,John Yannis Goulermas:
  Computation of heterogeneous object co-embeddings from relational measurements.Pattern Recognit.65:146-163 (2017)
• 
  [j27]
  Yanbin Hao,Tingting Mu,John Yannis Goulermas,Jianguo Jiang,Richang Hong,Meng Wang:
  Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension.IEEE Trans. Image Process.26(11):5531-5544 (2017)
• 
  [j26]
  Yanbin Hao,Tingting Mu,Richang Hong,Meng Wang,Ning An,John Yannis Goulermas:
  Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval.IEEE Trans. Multim.19(1):1-14 (2017)
• 
  [c11]
  Motoki Sato,Austin J. Brockmeier,Georgios Kontonatsios,Tingting Mu,John Yannis Goulermas,Jun'ichi Tsujii,Sophia Ananiadou:
  Distributed Document and Phrase Co-embeddings for Descriptive Clustering.EACL (1)2017:991-1001
• 
  [c10]
  Xenophon Evangelopoulos,Austin J. Brockmeier,Tingting Mu,John Yannis Goulermas:
  A Graduated Non-Convexity Relaxation for Large Scale Seriation.SDM2017:462-470
• 2016
• 
  [j25]
  Xinjian Gao,Tingting Mu,Meng Wang:
  Local voting based multi-view embedding.Neurocomputing171:901-909 (2016)
• 
  [j24]
  Tingting Mu,John Yannis Goulermas,Ioannis Korkontzelos,Sophia Ananiadou:
  Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities.J. Assoc. Inf. Sci. Technol.67(1):106-133 (2016)
• 
  [j23]
  John Yannis Goulermas,Alexandros Kostopoulos,Tingting Mu:
  A New Measure for Analyzing and Fusing Sequences of Objects.IEEE Trans. Pattern Anal. Mach. Intell.38(5):833-848 (2016)
• 
  [j22]
  Danushka Bollegala,Tingting Mu,John Yannis Goulermas:
  Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.IEEE Trans. Knowl. Data Eng.28(2):398-410 (2016)
• 2015
• 
  [c9]
  Liyun Gong,Tingting Mu,John Yannis Goulermas:
  Evolutionary Nonnegative Matrix Factorization for Data Compression.ICIC (1)2015:23-33
• 
  [c8]
  Yisi Zhao,Xueming Qian,Tingting Mu:
  Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching.MMM (2)2015:436-446
• 2014
• 
  [j21]
  Tingting Mu,Makoto Miwa,Junichi Tsujii,Sophia Ananiadou:
  Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features.Comput. Intell.30(2):285-315 (2014)
• 
  [j20]
  Konstantinos Nikolaidis,Tingting Mu,John Yannis Goulermas:
  Prototype reduction based on Direct Weighted Pruning.Pattern Recognit. Lett.36:22-28 (2014)
• 
  [j19]
  Eduardo Rodriguez-Martinez,Tingting Mu,John Yannis Goulermas:
  Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection.IEEE Trans. Cybern.44(12):2458-2469 (2014)
• 2013
• 
  [j18]
  Tingting Mu,John Yannis Goulermas:
  Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping.IEEE Trans. Pattern Anal. Mach. Intell.35(10):2340-2356 (2013)
• 
  [j17]
  Tingting Mu,Jianmin Jiang,Yan Wang:
  Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis.IEEE Trans. Intell. Transp. Syst.14(1):214-224 (2013)
• 
  [j16]
  Yan Wang,Jianmin Jiang,Tingting Mu:
  Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing.IEEE Trans. Intell. Transp. Syst.14(3):1331-1345 (2013)
• 
  [j15]
  Eduardo Rodriguez-Martinez,Tingting Mu,Jianmin Jiang,John Yannis Goulermas:
  Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding.IEEE Trans. Neural Networks Learn. Syst.24(10):1575-1587 (2013)
• 2012
• 
  [j14]
  Ioannis Korkontzelos,Tingting Mu,Sophia Ananiadou:
  ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials.BMC Medical Informatics Decis. Mak.12(S-1):S3 (2012)
• 
  [j13]
  Eduardo Rodriguez-Martinez,Konstantinos Nikolaidis,Tingting Mu,Jason F. Ralph,John Yannis Goulermas:
  Towards collaborative feature extraction for face recognition.Nat. Comput.11(3):395-404 (2012)
• 
  [j12]
  Tingting Mu,John Yannis Goulermas,Jun'ichi Tsujii,Sophia Ananiadou:
  Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data.IEEE Trans. Pattern Anal. Mach. Intell.34(11):2216-2232 (2012)
• 
  [j11]
  Enrique Romero,Tingting Mu,Paulo J. G. Lisboa:
  Cohort-based kernel visualisation with scatter matrices.Pattern Recognit.45(4):1436-1454 (2012)
• 
  [j10]
  Tingting Mu,Jianmin Jiang,Yan Wang,John Yannis Goulermas:
  Adaptive Data Embedding Framework for Multiclass Classification.IEEE Trans. Neural Networks Learn. Syst.23(8):1291-1303 (2012)
• 2010
• 
  [j9]
  Tingting Mu,Todd C. Pataky,Andrew H. Findlow,Min S. H. Aung,John Yannis Goulermas:
  Automated nonlinear feature generation and classification of foot pressure lesions.IEEE Trans. Inf. Technol. Biomed.14(2):418-424 (2010)
• 
  [j8]
  Eduardo Rodriguez-Martinez,John Yannis Goulermas,Tingting Mu,Jason F. Ralph:
  Automatic induction of projection pursuit indices.IEEE Trans. Neural Networks21(8):1281-1295 (2010)
• 
  [c7]
  Eduardo Rodriguez-Martinez,Konstantinos Nikolaidis,Tingting Mu,Jason F. Ralph,John Yannis Goulermas:
  Collaborative projection pursuit for face recognition.BIC-TA2010:1346-1350
• 
  [c6]
  Tingting Mu,Xinglong Wang,Jun'ichi Tsujii,Sophia Ananiadou:
  Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation.COLING (Posters)2010:851-859
• 
  [c5]
  Tingting Mu,Sophia Ananiadou:
  Proximity-based Graph Embeddings for Multi-label Classification.KDIR2010:74-84
• 
  [c4]
  Enrique Romero,Ana Sofia Fernandes,Tingting Mu,Paulo J. G. Lisboa:
  Cohort-based kernel visualisation with scatter matrices.IJCNN2010:1-8

• 2009
• 
  [j7]
  Tingting Mu,Asoke K. Nandi:
  Automatic tuning ofL₂-SVM parameters employing the extended Kalman filter.Expert Syst. J. Knowl. Eng.26(2):160-175 (2009)
• 
  [j6]
  Tingting Mu,Asoke K. Nandi:
  Multiclass Classification Based on Extended Support Vector Data Description.IEEE Trans. Syst. Man Cybern. Part B39(5):1206-1216 (2009)
• 2008
• 
  [j5]
  Tingting Mu,Asoke K. Nandi,Rangaraj M. Rangayyan:
  Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm.Comput. Biol. Medicine38(10):1103-1111 (2008)
• 
  [j4]
  Tingting Mu,Asoke K. Nandi,Rangaraj M. Rangayyan:
  Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers.J. Digit. Imaging21(2):153-169 (2008)
• 
  [c3]
  Tingting Mu,Asoke K. Nandi:
  Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers.BIOSIGNALS (2)2008:342-348
• 
  [c2]
  Tingting Mu,Asoke K. Nandi:
  Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy.EUSIPCO2008:1-5
• 2007
• 
  [j3]
  Tingting Mu,Asoke K. Nandi,Rangaraj M. Rangayyan:
  Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier.J. Electronic Imaging16(4):043004 (2007)
• 
  [j2]
  Tingting Mu,Asoke K. Nandi:
  Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier.J. Frankl. Inst.344(3-4):285-311 (2007)
• 
  [j1]
  Tingting Mu,Asoke K. Nandi,Rangaraj M. Rangayyan:
  Classification of breast masses via nonlinear transformation of features based on a kernel matrix.Medical Biol. Eng. Comput.45(8):769-780 (2007)
• 
  [c1]
  Tingting Mu,Asoke K. Nandi,Rangaraj M. Rangayyan:
  Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms.ICASSP (2)2007:477-480

manage site settings