John Yannis Goulermas

Orcid: 0000-0003-0381-124X

According to our database1, John Yannis Goulermas authored at least 89 papers between 1998 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Entropic Trust Region for Densest Crystallographic Symmetry Group Packings.
SIAM J. Sci. Comput., August, 2023

Towards better long-tailed oracle character recognition with adversarial data augmentation.
Pattern Recognit., August, 2023

Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction.
IEEE Trans. Knowl. Data Eng., June, 2023

Aggregated pyramid gating network for human pose estimation without pre-training.
Pattern Recognit., June, 2023

Generalized image outpainting with U-transformer.
Neural Networks, May, 2023

Cluster Exploration using Informative Manifold Projections.
CoRR, 2023

Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Image Similarity Learning by Adding External Memory.
IEEE Trans. Knowl. Data Eng., 2022

EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables.
CoRR, 2022

Process Mining Algorithm for Online Intrusion Detection System.
CoRR, 2022

A Multipath Fusion Strategy Based Single Shot Detector.
Sensors, 2021

Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.
Neurocomputing, 2021

Residual attention-based multi-scale script identification in scene text images.
Neurocomputing, 2021

An FPGA Implementation of Convolutional Spiking Neural Networks for Radioisotope Identification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Cross-Domain Sentiment Encoding through Stochastic Word Embedding.
IEEE Trans. Knowl. Data Eng., 2020

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts.
IEEE Trans. Image Process., 2020

Circular object arrangement using spherical embeddings.
Pattern Recognit., 2020

Building interactive sentence-aware representation based on generative language model for community question answering.
Neurocomputing, 2020

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Spiking Neural Network Based Low-Power Radioisotope Identification using FPGA.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

Event-based Signal Processing for Radioisotope Identification.
Proceedings of the 6th International Conference on Event-Based Control, 2020

Continuation methods for approximate large scale object sequencing.
Mach. Learn., 2019

A Novel Deep Density Model for Unsupervised Learning.
Cogn. Comput., 2019

MPSSD: Multi-Path Fusion Single Shot Detector.
Proceedings of the International Joint Conference on Neural Networks, 2019

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Self-Tuned Descriptive Document Clustering Using a Predictive Network.
IEEE Trans. Knowl. Data Eng., 2018

Topic driven multimodal similarity learning with multi-view voted convolutional features.
Pattern Recognit., 2018

Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Attention driven multi-modal similarity learning.
Inf. Sci., 2018

A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems.
Neurocomputing, 2018

Evolutionary nonnegative matrix factorization with adaptive control of cluster quality.
Neurocomputing, 2018

Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion.
Proceedings of the 21st International Conference on Information Fusion, 2018

Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval.
IEEE Trans. Multim., 2017

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension.
IEEE Trans. Image Process., 2017

Computation of heterogeneous object co-embeddings from relational measurements.
Pattern Recognit., 2017

Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model.
Neural Process. Lett., 2017

Quantifying the Informativeness of Similarity Measurements.
J. Mach. Learn. Res., 2017

A semi-supervised approach using label propagation to support citation screening.
J. Biomed. Informatics, 2017

Translating on pairwise entity space for knowledge graph embedding.
Neurocomputing, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Document and Phrase Co-embeddings for Descriptive Clustering.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.
IEEE Trans. Knowl. Data Eng., 2016

A New Measure for Analyzing and Fusing Sequences of Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities.
J. Assoc. Inf. Sci. Technol., 2016

Binary Data Embedding Framework for Multiclass Classification.
IEEE Trans. Hum. Mach. Syst., 2015

Two-layer Mixture of Factor Analyzers with Joint Factor Loading.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Evolutionary Nonnegative Matrix Factorization for Data Compression.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection.
IEEE Trans. Cybern., 2014

Prototype reduction based on Direct Weighted Pruning.
Pattern Recognit. Lett., 2014

Human activity classification using a single accelerometer.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2013

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Binary data embedding framework for face recognition.
Proceedings of the 5th International Conference on Imaging for Crime Detection and Prevention, 2013

Generalized Locally Weighted GMDH for Short Term Load Forecasting.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Spectral Graph Optimization for Instance Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2012

Adaptive Data Embedding Framework for Multiclass Classification.
IEEE Trans. Neural Networks Learn. Syst., 2012

Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Towards collaborative feature extraction for face recognition.
Nat. Comput., 2012

A class boundary preserving algorithm for data condensation.
Pattern Recognit., 2011

Electric Load Forecasting Based on Locally Weighted Support Vector Regression.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Automatic induction of projection pursuit indices.
IEEE Trans. Neural Networks, 2010

Automated nonlinear feature generation and classification of foot pressure lesions.
IEEE Trans. Inf. Technol. Biomed., 2010

Spatiotemporal Visualizations for the Measurement of Oropharyngeal Transit Time From Videofluoroscopy.
IEEE Trans. Biomed. Eng., 2010

Pricing and Unresponsive Flows Purging for Global Rate Enhancement.
J. Electr. Comput. Eng., 2010

Collaborative projection pursuit for face recognition.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Instance Seriation for Prototype Abstraction.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data.
IEEE Trans. Biomed. Eng., 2009

A flexible visual inspection system based on neural networks.
Int. J. Syst. Sci., 2009

Quality of service issues and nonconvex Network Utility Maximization for inelastic services in the Internet.
Proceedings of the 17th Annual Meeting of the IEEE/ACM International Symposium on Modelling, 2009

A Hybrid Particle Swarm Branch-and-Bound (HPB) Optimizer for Mixed Discrete Nonlinear Programming.
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.
IEEE Trans. Neural Networks, 2008

Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application.
IEEE Trans. Fuzzy Syst., 2008

Rapid Prototyping for Functional Electrical Stimulation Control.
IEEE Pervasive Comput., 2008

Kernel regression networks with local structural information and covariance volume adaptation.
Neurocomputing, 2008

Automating the processing of cDNA microarray images.
Int. J. Intell. Syst. Technol. Appl., 2008

A Novel Approach to Distributed Network Utility Maximization for a Low-Loss Low-Delay Rate Control.
Proceedings of the EMS 2008, 2008

Generalized Regression Neural Networks With Multiple-Bandwidth Sharing and Hybrid Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.
IEEE Trans. Neural Networks, 2007

Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

A Constrained Nonlinear Energy Minimization Framework for the Regularization of the Stereo Correspondence Problem.
IEEE Trans. Circuits Syst. Video Technol., 2005

Automated design of robust discriminant analysis classifier for foot pressure lesions using kinematic data.
IEEE Trans. Biomed. Eng., 2005

A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo.
IEEE Trans. Evol. Comput., 2003

Path planning in construction sites: performance evaluation of the Dijkstra, A<sub>*</sub>, and GA search algorithms.
Adv. Eng. Informatics, 2002

Hybrid symbiotic genetic optimisation for robust edge-based stereo correspondence.
Pattern Recognit., 2001

A new parallel feature-based stereo-matching algorithm with figural continuity preservation, based on hybrid symbiotic genetic algorithms.
Pattern Recognit., 2000

Incorporating Gradient Estimations in a Circle-Finding Probabilistic Hough Transform.
Pattern Anal. Appl., 1999

Genetically fine-tuning the Hough transform feature space, for the detection of circular objects.
Image Vis. Comput., 1998