John Yannis Goulermas

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 42

Top Topics

Unsupervised Learning

Document Clustering

Multiclass Classification

Vector Autoregressive

Top Venues

IEEE Trans. Knowl. Data Eng.

Pattern Recognit.

Publications

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 (2024)
Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas
Cluster Exploration using Informative Manifold Projections. CoRR (2023)
Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin
Entropic Trust Region for Densest Crystallographic Symmetry Group Packings. SIAM J. Sci. Comput. 45 (4) (2023)
Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
Generalized image outpainting with U-transformer. Neural Networks 162 (2023)
Giovanni de Felice, John Yannis Goulermas, Vladimir V. Gusev
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings. NeurIPS (2023)
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) (2023)
Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas
Towards better long-tailed oracle character recognition with adversarial data augmentation. Pattern Recognit. 140 (2023)
Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
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) (2022)
Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR (2022)
Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin
Entropic trust region for densest crystallographic symmetry group packings. CoRR (2022)
Yinzheng Zhong, John Yannis Goulermas, Alexei Lisitsa
Process Mining Algorithm for Online Intrusion Detection System. CoRR (2022)
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Yannis Goulermas
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. CoRR (2021)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Coarse-grained generalized zero-shot learning with efficient self-focus mechanism. Neurocomputing 463 (2021)
Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Yannis Goulermas
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
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 (2020)
Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, John Yannis Goulermas
Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing 389 (2020)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Inductive Generalized Zero-Shot Learning with Adversarial Relation Network. ECML/PKDD (2) (2020)
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) (2020)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
Circular object arrangement using spherical embeddings. Pattern Recognit. 103 (2020)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
Continuation methods for approximate large scale object sequencing. Mach. Learn. 108 (4) (2019)
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification. BICS (2019)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
A Novel Deep Density Model for Unsupervised Learning. Cogn. Comput. 11 (6) (2019)
Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas
Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing 272 (2018)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing 312 (2018)
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) (2018)
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) (2018)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognit. 75 (2018)
Roberta Piroddi, John Yannis Goulermas, Simon Maskell, Jason F. Ralph
Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion. FUSION (2018)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
Attention driven multi-modal similarity learning. Inf. Sci. 432 (2018)
Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas
Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. 65 (2017)
Yu Wu, Tingting Mu, John Yannis Goulermas
Translating on pairwise entity space for knowledge graph embedding. Neurocomputing 260 (2017)
Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang
Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. Neural Process. Lett. 45 (3) (2017)
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) (2017)
Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. 18 (2017)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM (2017)
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) (2017)
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)
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. Informatics 72 (2017)
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) (2016)
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) (2016)
Danushka Bollegala, Tingting Mu, John Yannis Goulermas
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28 (2) (2016)
Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN (2015)
Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph
Binary Data Embedding Framework for Multiclass Classification. IEEE Trans. Hum. Mach. Syst. 45 (4) (2015)
Liyun Gong, Tingting Mu, John Yannis Goulermas
Evolutionary Nonnegative Matrix Factorization for Data Compression. ICIC (1) (2015)
Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36 (2014)
Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas
Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE Trans. Cybern. 44 (12) (2014)
Hamzah S. AlZubi, Simon Gerrard-Longworth, Waleed Al-Nuaimy, John Yannis Goulermas, Stephen J. Preece
Human activity classification using a single accelerometer. UKCI (2014)
Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph
Binary data embedding framework for face recognition. ICDP (2013)
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) (2013)
Tingting Mu, John Yannis Goulermas
Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. IEEE Trans. Pattern Anal. Mach. Intell. 35 (10) (2013)
Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu
Generalized Locally Weighted GMDH for Short Term Load Forecasting. IEEE Trans. Syst. Man Cybern. Part C 42 (3) (2012)
Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas
Adaptive Data Embedding Framework for Multiclass Classification. IEEE Trans. Neural Networks Learn. Syst. 23 (8) (2012)
Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. Henry Wu
Spectral Graph Optimization for Instance Reduction. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
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) (2012)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Towards collaborative feature extraction for face recognition. Nat. Comput. 11 (3) (2012)
Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu
A class boundary preserving algorithm for data condensation. Pattern Recognit. 44 (3) (2011)
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) (2010)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Collaborative projection pursuit for face recognition. BIC-TA (2010)
Min S. H. Aung, John Yannis Goulermas, Shaheen Hamdy, Maxine Power
Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy. IEEE Trans. Biomed. Eng. 57 (2) (2010)
Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas
Pricing and Unresponsive Flows Purging for Global Rate Enhancement. J. Electr. Comput. Eng. 2010 (2010)
Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu
Electric Load Forecasting Based on Locally Weighted Support Vector Regression. IEEE Trans. Syst. Man Cybern. Part C 40 (4) (2010)
Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph
Automatic induction of projection pursuit indices. IEEE Trans. Neural Networks 21 (8) (2010)
Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu
Instance Seriation for Prototype Abstraction. BIC-TA (2010)
Stephen J. Preece, John Yannis Goulermas, Laurence P. J. Kenney, David Howard
A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data. IEEE Trans. Biomed. Eng. 56 (3) (2009)
Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas
Quality of service issues and nonconvex Network Utility Maximization for inelastic services in the Internet. MASCOTS (2009)
Panos Liatsis, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis
A flexible visual inspection system based on neural networks. Int. J. Syst. Sci. 40 (2) (2009)
John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard
An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. IEEE Trans. Neural Networks 19 (9) (2008)
Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas
Rapid Prototyping for Functional Electrical Stimulation Control. IEEE Pervasive Comput. 7 (2) (2008)
Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane
Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Trans. Fuzzy Syst. 16 (5) (2008)
Panos Liatsis, M. A. Nazarboland, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis
Automating the processing of cDNA microarray images. Int. J. Intell. Syst. Technol. Appl. 5 (1/2) (2008)
Ghulam Abbas, Atulya Nagar, Hissam Tawfik, John Yannis Goulermas
A Novel Approach to Distributed Network Utility Maximization for a Low-Loss Low-Delay Rate Control. EMS (2008)
John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng
Kernel regression networks with local structural information and covariance volume adaptation. Neurocomputing 72 (1-3) (2008)
S. Nema, John Yannis Goulermas, G. Sparrow, Phil Cook
A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming. IEEE Trans. Syst. Man Cybern. Part A 38 (6) (2008)
John Yannis Goulermas, Xiao-Jun Zeng, Panos Liatsis, Jason F. Ralph
Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization. IEEE Trans. Syst. Man Cybern. Part B 37 (6) (2007)
John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. IEEE Trans. Neural Networks 18 (6) (2007)
Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas
Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke. EMBC (2006)
John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, David Howard, Peter Bowker
Automated design of robust discriminant analysis classifier for foot pressure lesions using kinematic data. IEEE Trans. Biomed. Eng. 52 (9) (2005)
John Yannis Goulermas, Panos Liatsis, Terrence Fernando
A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem. IEEE Trans. Circuits Syst. Video Technol. 15 (4) (2005)
John Yannis Goulermas, Panos Liatsis
A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo. IEEE Trans. Evol. Comput. 7 (5) (2003)
Amir R. Soltani, Hissam Tawfik, John Yannis Goulermas, Terrence Fernando
, and GA search algorithms. Adv. Eng. Informatics 16 (4) (2002)
John Yannis Goulermas, Panos Liatsis
Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence. Pattern Recognit. 34 (12) (2001)
John Yannis Goulermas, Panos Liatsis
A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms. Pattern Recognit. 33 (3) (2000)
John Yannis Goulermas, Panos Liatsis
Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform. Pattern Anal. Appl. 2 (3) (1999)
John Yannis Goulermas, Panos Liatsis
Genetically fine-tuning the Hough transform feature space, for the detection of circular objects. Image Vis. Comput. 16 (9-10) (1998)