Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms. - Tingting Mu; Asoke K. Nandi; Rangaraj M. Rangayyan (ICASSP (2), 2007)

Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier. - Tingting Mu; Asoke K. Nandi; Rangaraj M. Rangayyan (J. Electronic Imaging, 2007)

Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier. - Tingting Mu; Asoke K. Nandi (J. Frankl. Inst., 2007)

Classification of breast masses via nonlinear transformation of features based on a kernel matrix. - Tingting Mu; Asoke K. Nandi; Rangaraj M. Rangayyan (Medical Biol. Eng. Comput., 2007)

Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers. - Tingting Mu; Asoke K. Nandi (BIOSIGNALS (2), 2008)

Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy. - Tingting Mu; Asoke K. Nandi (EUSIPCO, 2008)

Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm. - Tingting Mu; Asoke K. Nandi; Rangaraj M. Rangayyan (Comput. Biol. Medicine, 2008)

Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers. - Tingting Mu; Asoke K. Nandi; Rangaraj M. Rangayyan (J. Digit. Imaging, 2008)

Automatic tuning of L2-SVM parameters employing the extended Kalman filter. - Tingting Mu; Asoke K. Nandi (Expert Syst. J. Knowl. Eng., 2009)

Multiclass Classification Based on Extended Support Vector Data Description. - Tingting Mu; Asoke K. Nandi (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Collaborative projection pursuit for face recognition. - Eduardo Rodriguez-Martinez; Konstantinos Nikolaidis; Tingting Mu; Jason F. Ralph; John Yannis Goulermas (BIC-TA, 2010)

Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation. - Tingting Mu; Xinglong Wang; Jun'ichi Tsujii; Sophia Ananiadou (COLING (Posters), 2010)

Proximity-based Graph Embeddings for Multi-label Classification. - Tingting Mu; Sophia Ananiadou (KDIR, 2010)

Cohort-based kernel visualisation with scatter matrices. - Enrique Romero; Ana Sofia Fernandes; Tingting Mu; Paulo J. G. Lisboa (IJCNN, 2010)

Automated nonlinear feature generation and classification of foot pressure lesions. - Tingting Mu; Todd C. Pataky; Andrew H. Findlow; Min S. H. Aung; John Yannis Goulermas (IEEE Trans. Inf. Technol. Biomed., 2010)

Automatic induction of projection pursuit indices. - Eduardo Rodriguez-Martinez; John Yannis Goulermas; Tingting Mu; Jason F. Ralph (IEEE Trans. Neural Networks, 2010)

ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials. - Ioannis Korkontzelos; Tingting Mu; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2012)

Towards collaborative feature extraction for face recognition. - Eduardo Rodriguez-Martinez; Konstantinos Nikolaidis; Tingting Mu; Jason F. Ralph; John Yannis Goulermas (Nat. Comput., 2012)

Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data. - Tingting Mu; John Yannis Goulermas; Jun'ichi Tsujii; Sophia Ananiadou (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Cohort-based kernel visualisation with scatter matrices. - Enrique Romero; Tingting Mu; Paulo J. G. Lisboa (Pattern Recognit., 2012)

Adaptive Data Embedding Framework for Multiclass Classification. - Tingting Mu; Jianmin Jiang; Yan Wang 084; John Yannis Goulermas (IEEE Trans. Neural Networks Learn. Syst., 2012)

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. - Tingting Mu; John Yannis Goulermas (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis. - Tingting Mu; Jianmin Jiang; Yan Wang 084 (IEEE Trans. Intell. Transp. Syst., 2013)

Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing. - Yan Wang 084; Jianmin Jiang; Tingting Mu (IEEE Trans. Intell. Transp. Syst., 2013)

Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding. - Eduardo Rodriguez-Martinez; Tingting Mu; Jianmin Jiang; John Yannis Goulermas (IEEE Trans. Neural Networks Learn. Syst., 2013)

Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features. - Tingting Mu; Makoto Miwa; Junichi Tsujii; Sophia Ananiadou (Comput. Intell., 2014)

Prototype reduction based on Direct Weighted Pruning. - Konstantinos Nikolaidis; Tingting Mu; John Yannis Goulermas (Pattern Recognit. Lett., 2014)

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. - Eduardo Rodriguez-Martinez; Tingting Mu; John Yannis Goulermas (IEEE Trans. Cybern., 2014)

Evolutionary Nonnegative Matrix Factorization for Data Compression. - Liyun Gong; Tingting Mu; John Yannis Goulermas (ICIC (1), 2015)

Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching. - Yisi Zhao; Xueming Qian; Tingting Mu (MMM (2), 2015)

Local voting based multi-view embedding. - Xinjian Gao; Tingting Mu; Meng Wang 001 (Neurocomputing, 2016)

Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities. - Tingting Mu; John Yannis Goulermas; Ioannis Korkontzelos; Sophia Ananiadou (J. Assoc. Inf. Sci. Technol., 2016)

A New Measure for Analyzing and Fusing Sequences of Objects. - John Yannis Goulermas; Alexandros Kostopoulos; Tingting Mu (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. - Danushka Bollegala; Tingting Mu; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2016)

Distributed Document and Phrase Co-embeddings for Descriptive Clustering. - Motoki Sato; Austin J. Brockmeier; Georgios Kontonatsios; Tingting Mu; John Yannis Goulermas; Jun'ichi Tsujii; Sophia Ananiadou (EACL (1), 2017)

A Graduated Non-Convexity Relaxation for Large Scale Seriation. - Xenophon Evangelopoulos; Austin J. Brockmeier; Tingting Mu; John Yannis Goulermas (SDM, 2017)

Translating on pairwise entity space for knowledge graph embedding. - Yu Wu 004; Tingting Mu; John Yannis Goulermas (Neurocomputing, 2017)

A semi-supervised approach using label propagation to support citation screening. - Georgios Kontonatsios; Austin J. Brockmeier; Piotr Przybyla; John McNaught; Tingting Mu; John Yannis Goulermas; Sophia Ananiadou (J. Biomed. Informatics, 2017)

Quantifying the Informativeness of Similarity Measurements. - Austin J. Brockmeier; Tingting Mu; Sophia Ananiadou; John Yannis Goulermas (J. Mach. Learn. Res., 2017)

Computation of heterogeneous object co-embeddings from relational measurements. - Yu Wu 004; Tingting Mu; Panos Liatsis; John Yannis Goulermas (Pattern Recognit., 2017)

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension. - Yanbin Hao; Tingting Mu; John Yannis Goulermas; Jianguo Jiang; Richang Hong; Meng Wang 001 (IEEE Trans. Image Process., 2017)

Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval. - Yanbin Hao; Tingting Mu; Richang Hong; Meng Wang 001; Ning An 001; John Yannis Goulermas (IEEE Trans. Multim., 2017)

Modular Dimensionality Reduction. - Henry W. J. Reeve; Tingting Mu; Gavin Brown 001 (ECML/PKDD (1), 2018)

Question Answering Mediated by Visual Clues and Knowledge Graphs. - Fabrício Firmino de Faria; Ricardo Usbeck; Alessio Sarullo; Tingting Mu; André Freitas (WWW (Companion Volume), 2018)

VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images. - Haoxin Ma; Haotian Li; Zhiwen Qian; Shengxian Shi; Tingting Mu (CoRR, 2018)

Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. - Liyun Gong; Tingting Mu; Meng Wang 001; Hengchang Liu; John Yannis Goulermas (Neurocomputing, 2018)

Attention driven multi-modal similarity learning. - Xinjian Gao; Tingting Mu; John Yannis Goulermas; Meng Wang 001 (Inf. Sci., 2018)

Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. - Tingting Mu; John Yannis Goulermas; Sophia Ananiadou (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Topic driven multimodal similarity learning with multi-view voted convolutional features. - Xinjian Gao; Tingting Mu; John Yannis Goulermas; Meng Wang 001 (Pattern Recognit., 2018)

Self-Tuned Descriptive Document Clustering Using a Predictive Network. - Austin J. Brockmeier; Tingting Mu; Sophia Ananiadou; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2018)

On Class Imbalance and Background Filtering in Visual Relationship Detection. - Alessio Sarullo; Tingting Mu (IJCNN, 2019)

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. - Maolin Li; Arvid Fahlström Myrman; Tingting Mu; Sophia Ananiadou (NAACL-HLT (1), 2019)

Continuation methods for approximate large scale object sequencing. - Xenophon Evangelopoulos; Austin J. Brockmeier; Tingting Mu; John Yannis Goulermas (Mach. Learn., 2019)

Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning. - Haoxin Ma; Zhiwen Qian; Tingting Mu; Shengxian Shi (Sensors, 2019)

Visual-Semantic Embedding Model Informed by Structured Knowledge. - Mirantha Jayathilaka; Tingting Mu; Uli Sattler (STAIRS@ECAI, 2020)

Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. - Alessio Sarullo; Tingting Mu (CoRR, 2020)

Big Cross-Modal Social Media Data Analytics With Deep Intelligence. - Yang Wang 023; Meng Fang; Joey Tianyi Zhou; Tingting Mu; Dacheng Tao (IEEE Multim., 2020)

Building interactive sentence-aware representation based on generative language model for community question answering. - Jinmeng Wu; Tingting Mu; Jeyarajan Thiyagalingam; John Yannis Goulermas (Neurocomputing, 2020)

Circular object arrangement using spherical embeddings. - Xenophon Evangelopoulos; Austin J. Brockmeier; Tingting Mu; John Yannis Goulermas (Pattern Recognit., 2020)

Self-attention driven adversarial similarity learning network. - Xinjian Gao; Zhao Zhang 001; Tingting Mu; Xudong Zhang; Chaoran Cui; Meng Wang 001 (Pattern Recognit., 2020)

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. - Xinjian Gao; Tingting Mu; John Yannis Goulermas; Jeyarajan Thiyagalingam; Meng Wang 001 (IEEE Trans. Image Process., 2020)

Cross-Domain Sentiment Encoding through Stochastic Word Embedding. - Yanbin Hao; Tingting Mu; Richang Hong; Meng Wang 001; Xueliang Liu; John Yannis Goulermas (IEEE Trans. Knowl. Data Eng., 2020)

Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. - Mirantha Jayathilaka; Tingting Mu; Uli Sattler (ICMLA, 2021)

Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features. - Xia Cui 001; Amila Gamage; Terry Hanley; Tingting Mu (Interspeech, 2021)

Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. - Mirantha Jayathilaka; Tingting Mu; Uli Sattler (MLSMKG@PKDD/ECML, 2021)

Introduction to Big Multimodal Multimedia Data with Deep Analytics. - Yang Wang 023; Meng Fang; Joey Tianyi Zhou; Tingting Mu; Dacheng Tao (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Bias-Variance Decompositions for Margin Losses. - Danny Wood; Tingting Mu; Gavin Brown 001 (AISTATS, 2022)

Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP. - Zhicai Wang; Yanbin Hao; Xingyu Gao 001; Hao Zhang 047; Shuo Wang 008; Tingting Mu; Xiangnan He 001 (ACM Multimedia, 2022)

Improved Imaging by Invex Regularizers with Global Optima Guarantees. - Samuel Pinilla; Tingting Mu; Neil Bourne; Jeyan Thiyagalingam (NeurIPS, 2022)

Data-driven Approaches to Surrogate Machine Learning Model Development. - Huw Rhys Jones; Tingting Mu; Andrei C. Popescu; Yusuf Sulehman (CoRR, 2022)

Guest Editorial: Intelligent information processing and services in media convergence. - Meng Wang 001; Chi Zhang; Shijie Hao; Jun Yu 002; Tingting Mu (Int. J. Intell. Syst., 2022)

FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. - Weijie Fu; Meng Wang 001; Shijie Hao; Tingting Mu (IEEE Trans. Big Data, 2022)

Improving Image Similarity Learning by Adding External Memory. - Xinjian Gao; Tingting Mu; John Yannis Goulermas; Jingkuan Song; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning. - Zhicai Wang; Yanbin Hao; Tingting Mu; Ouxiang Li; Shuo Wang 008; Xiangnan He 001 (CVPR, 2023)

Understanding and Improving Ensemble Adversarial Defense. - Yian Deng; Tingting Mu (NeurIPS, 2023)

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. - Ruiyuan Kang; Tingting Mu; Panagiotis Liatsis; Dimitrios C. Kyritsis (NeurIPS, 2023)

Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance. - Huw Rhys Jones; Andrei C. Popescu; Yusuf Sulehman; Tingting Mu (IEEE Access, 2023)

A Unified Theory of Diversity in Ensemble Learning. - Danny Wood; Tingting Mu; Andrew M. Webb; Henry W. J. Reeve; Mikel Luján; Gavin Brown 001 (J. Mach. Learn. Res., 2023)

Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. - Jinmeng Wu; Tingting Mu; Jeyan Thiyagalingam; John Yannis Goulermas (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Faster Riemannian Newton-type optimization by subsampling and cubic regularization. - Yian Deng; Tingting Mu (Mach. Learn., 2023)

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. - Jingxuan He 001; Lechao Cheng; Chaowei Fang; Zunlei Feng; Tingting Mu; Mingli Song (AAAI, 2024)

Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning. - Xia Cui 001; Terry Hanley; Muj Choudhury; Tingting Mu (IJCNN, 2024)

LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. - Jiyang Li; Lechao Cheng; Zhangye Wang; Tingting Mu; Jingxuan He 001 (ACM Multimedia, 2024)

Iterative Semantic Transformer by Greedy Distillation for Community Question Answering. - Jinmeng Wu; Tingting Mu; Jeyarajan Thiyagalingam; Hanyu Hong; Yanbin Hao; Tianxu Zhang; John Yannis Goulermas (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. - Yuan Wang; Ouxiang Li; Tingting Mu; Yanbin Hao; Kuien Liu; Xiang Wang 010; Xiangnan He 001 (CVPR, 2025)

Group-Agent Reinforcement Learning with Heterogeneous Agents. - Kaiyue Wu; Xiao-Jun Zeng; Tingting Mu (UAI, 2025)