John Yannis Goulermas

According to our database, John Yannis Goulermas authored at least 90 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables.

Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang

IEEE Trans. Cybern., September, 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

Cluster Exploration Using Informative Manifold Projections.

Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir V. Gusev, John Yannis Goulermas

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Entropic Trust Region for Densest Crystallographic Symmetry Group Packings.

Miloslav Torda, John Yannis Goulermas, Roland Púcek, Vitaliy Kurlin

SIAM J. Sci. Comput., August, 2023

Towards better long-tailed oracle character recognition with adversarial data augmentation.

Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas

Pattern Recognit., August, 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., July, 2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.

Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., June, 2023

Aggregated pyramid gating network for human pose estimation without pre-training.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas

Pattern Recognit., June, 2023

Generalized image outpainting with U-transformer.

Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang

Neural Networks, May, 2023

Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings.

Giovanni de Felice, John Yannis Goulermas, Vladimir V. Gusev

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improving Image Similarity Learning by Adding External Memory.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang

IEEE Trans. Knowl. Data Eng., 2022

Process Mining Algorithm for Online Intrusion Detection System.

Yinzheng Zhong, John Yannis Goulermas, Alexei Lisitsa

CoRR, 2022

2021

A Multipath Fusion Strategy Based Single Shot Detector.

Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas

Sensors, 2021

Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding.

Mingjie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Yannis Goulermas

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Neurocomputing, 2021

Residual attention-based multi-scale script identification in scene text images.

Mengkai Ma, Qiu-Feng Wang, Shan Huang, Shen Huang, Yannis Goulermas, Kaizhu Huang

Neurocomputing, 2021

An FPGA Implementation of Convolutional Spiking Neural Networks for Radioisotope Identification.

Xiaoyu Huang, Edward George Jones, Siru Zhang, Shouyu Xie, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Cross-Domain Sentiment Encoding through Stochastic Word Embedding.

Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 2020

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, Meng Wang

IEEE Trans. Image Process., 2020

Circular object arrangement using spherical embeddings.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Pattern Recognit., 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

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Spiking Neural Network Based Low-Power Radioisotope Identification using FPGA.

Xiaoyu Huang, Edward George Jones, Siru Zhang, Shouyu Xie, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton

Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

Event-based Signal Processing for Radioisotope Identification.

Xiaoyu Huang, Edward George Jones, Siru Zhang, Steve B. Furber, Yannis Goulermas, Edward Marsden, Ian Baistow, Srinjoy Mitra, Alister Hamilton

Proceedings of the 6th International Conference on Event-Based Control, 2020

2019

Continuation methods for approximate large scale object sequencing.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Mach. Learn., 2019

A Novel Deep Density Model for Unsupervised Learning.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Cogn. Comput., 2019

MPSSD: Multi-Path Fusion Single Shot Detector.

Shuyi Qu, Kaizhu Huang, Amir Hussain, Yannis Goulermas

Proceedings of the International Joint Conference on Neural Networks, 2019

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.

Guanyu Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

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

Topic driven multimodal similarity learning with multi-view voted convolutional features.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang

Pattern Recognit., 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

Attention driven multi-modal similarity learning.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang

Inf. Sci., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain

Neurocomputing, 2018

Evolutionary nonnegative matrix factorization with adaptive control of cluster quality.

Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas

Neurocomputing, 2018

Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion.

Roberta Piroddi, John Yannis Goulermas, Simon Maskell, Jason F. Ralph

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval.

Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Ning An, John Yannis Goulermas

IEEE Trans. Multim., 2017

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension.

Yanbin Hao, Tingting Mu, John Yannis Goulermas, Jianguo Jiang, Richang Hong, Meng Wang

IEEE Trans. Image Process., 2017

Computation of heterogeneous object co-embeddings from relational measurements.

Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas

Pattern Recognit., 2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.

Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang

Neural Process. Lett., 2017

Quantifying the Informativeness of Similarity Measurements.

Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas

J. Mach. Learn. Res., 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

Translating on pairwise entity space for knowledge graph embedding.

Yu Wu, Tingting Mu, John Yannis Goulermas

Neurocomputing, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

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

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.

Danushka Bollegala, Tingting Mu, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 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

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

2015

Binary Data Embedding Framework for Multiclass Classification.

Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph

IEEE Trans. Hum. Mach. Syst., 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.

Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Evolutionary Nonnegative Matrix Factorization for Data Compression.

Liyun Gong, Tingting Mu, John Yannis Goulermas

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection.

Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas

IEEE Trans. Cybern., 2014

Prototype reduction based on Direct Weighted Pruning.

Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas

Pattern Recognit. Lett., 2014

Human activity classification using a single accelerometer.

Hamzah S. AlZubi, Simon Gerrard-Longworth, Waleed Al-Nuaimy, John Yannis Goulermas, Stephen J. Preece

Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

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

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping.

Tingting Mu, John Yannis Goulermas

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Binary data embedding framework for face recognition.

Yuan Chi, Elias J. Griffith, John Yannis Goulermas, Jason F. Ralph

Proceedings of the 5th International Conference on Imaging for Crime Detection and Prevention, 2013

2012

Generalized Locally Weighted GMDH for Short Term Load Forecasting.

Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu

IEEE Trans. Syst. Man Cybern. Part C, 2012

Spectral Graph Optimization for Instance Reduction.

Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. Henry Wu

IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive Data Embedding Framework for Multiclass Classification.

Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas

IEEE Trans. Neural Networks Learn. Syst., 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

Towards collaborative feature extraction for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Nat. Comput., 2012

2011

A class boundary preserving algorithm for data condensation.

Konstantinos Nikolaidis, John Yannis Goulermas, Q. H. Wu

Pattern Recognit., 2011

2010

Electric Load Forecasting Based on Locally Weighted Support Vector Regression.

Ehab E. Elattar, John Yannis Goulermas, Q. Henry Wu

IEEE Trans. Syst. Man Cybern. Part C, 2010

Automatic induction of projection pursuit indices.

Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph

IEEE Trans. Neural Networks, 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

Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy.

Min S. H. Aung, John Yannis Goulermas, Shaheen Hamdy, Maxine Power

IEEE Trans. Biomed. Eng., 2010

Pricing and Unresponsive Flows Purging for Global Rate Enhancement.

Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas

J. Electr. Comput. Eng., 2010

Collaborative projection pursuit for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Instance Seriation for Prototype Abstraction.

Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. H. Wu

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data.

Stephen J. Preece, John Yannis Goulermas, Laurence P. J. Kenney, David Howard

IEEE Trans. Biomed. Eng., 2009

A flexible visual inspection system based on neural networks.

Panos Liatsis, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis

Int. J. Syst. Sci., 2009

Quality of service issues and nonconvex Network Utility Maximization for inelastic services in the Internet.

Ghulam Abbas, Atulya K. Nagar, Hissam Tawfik, John Yannis Goulermas

Proceedings of the 17th Annual Meeting of the IEEE/ACM International Symposium on Modelling, 2009

2008

A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming.

S. Nema, John Yannis Goulermas, G. Sparrow, Phil Cook

IEEE Trans. Syst. Man Cybern. Part A, 2008

An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors.

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

IEEE Trans. Neural Networks, 2008

Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.

Xiao-Jun Zeng, John Yannis Goulermas, Panos Liatsis, Di Wang, John A. Keane

IEEE Trans. Fuzzy Syst., 2008

Rapid Prototyping for Functional Electrical Stimulation Control.

Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas

IEEE Pervasive Comput., 2008

Kernel regression networks with local structural information and covariance volume adaptation.

John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng

Neurocomputing, 2008

Automating the processing of cDNA microarray images.

Panos Liatsis, M. A. Nazarboland, John Yannis Goulermas, Xiao-Jun Zeng, Efstathios Milonidis

Int. J. Intell. Syst. Technol. Appl., 2008

A Novel Approach to Distributed Network Utility Maximization for a Low-Loss Low-Delay Rate Control.

Ghulam Abbas, Atulya Nagar, Hissam Tawfik, John Yannis Goulermas

Proceedings of the EMS 2008, 2008

2007

Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.

John Yannis Goulermas, Xiao-Jun Zeng, Panos Liatsis, Jason F. Ralph

IEEE Trans. Syst. Man Cybern. Part B, 2007

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.

John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook

IEEE Trans. Neural Networks, 2007

2006

Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke.

Philip A. Tresadern, Sibylle B. Thies, Laurence P. J. Kenney, David Howard, John Yannis Goulermas

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem.

John Yannis Goulermas, Panos Liatsis, Terrence Fernando

IEEE Trans. Circuits Syst. Video Technol., 2005

Automated design of robust discriminant analysis classifier for foot pressure lesions using kinematic data.

John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, David Howard, Peter Bowker

IEEE Trans. Biomed. Eng., 2005

2003

A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo.

John Yannis Goulermas, Panos Liatsis

IEEE Trans. Evol. Comput., 2003

2002

Path planning in construction sites: performance evaluation of the Dijkstra, A_*, and GA search algorithms.

Amir R. Soltani, Hissam Tawfik, John Yannis Goulermas, Terrence Fernando

Adv. Eng. Informatics, 2002

2001

Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence.

John Yannis Goulermas, Panos Liatsis

Pattern Recognit., 2001

2000

A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms.

John Yannis Goulermas, Panos Liatsis

Pattern Recognit., 2000

1999

Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform.

John Yannis Goulermas, Panos Liatsis

Pattern Anal. Appl., 1999

1998

Genetically fine-tuning the Hough transform feature space, for the detection of circular objects.

John Yannis Goulermas, Panos Liatsis

Image Vis. Comput., 1998