| 2025 | ICONIP | Novel Neuron-Stability Weighted Dynamic Evolving Spiking Neural Network (NSW-DeSNN) for Classification of fMRI Data. | Maryam Doborjeh, Zohreh Doborjeh, Nikola K. Kasabov |
| 2025 | IJCNN | Genetic Predictors of Social and Cognitive Outcomes in People with Ultra-High-Risk of Psychosis Using Spiking Neural Networks. | Zohreh Doborjeh, Balkaran Singh, Alexander Sumich, Maryam Doborjeh, Wilson Wen Bin Goh, Nikola K. Kasabov |
| 2024 | AIMSA | Predictive and Explainable Modelling in Economics on the Case Study of Remittance Prediction Using the NeuDen AI Computational Architecture. | Iman Abouhassan, Nikola K. Kasabov, Roumen Trifonov, George Popov |
| 2024 | ICONIP | Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data. | Ravi Kumar Jha, Nikola K. Kasabov, Damien Coyle, Saugat Bhattacharyya, Girijesh Prasad |
| 2024 | ICONIP | Izhikevich Neurons in NeuCube for Longitudinal Data Classification. | Balkaran Singh, Sugam Budhraja, Maryam Doborjeh, Zohreh Doborjeh, Edmund M.-K. Lai, Nikola K. Kasabov |
| 2024 | ICONIP | Calming the Mind: Spiking Neural Networks Reveal How Havening Touch to Reduce Persistent Distress Attenuates Left Temporal Electroencephalographic Connectivity. | Alexander Sumich, Zohreh Doborjeh, Nadja Heym, Aroha Scott, Kirsty Hunter, Tony Burgess, Julie French, Mustafa Sarkar, Maryam Doborjeh, Nikola K. Kasabov |
| 2023 | IJCNN | Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. | Sugam Budhraja, Balkaran Singh, Maryam Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund M.-K. Lai, Wilson Wen Bin Goh, Nikola K. Kasabov |
| 2023 | IJCNN | On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. | Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov |
| 2023 | SACI | Neuroinformatics, Neural Networks and Neurocomputers for Brain-inspired Computational Intelligence. | Nikola K. Kasabov |
| 2022 | IJCNN | Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. | Devarth Parikh, Yawen Lu, Nikola K. Kasabov, Guoyu Lu |
| 2021 | IJCNN | Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. | Wael Alzhrani, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov |
| 2021 | IJCNN | Multi-view Geometry Consistency Network for Facial Micro-Expression Recognition From Various Perspectives. | Yawen Lu, Nikola K. Kasabov, Guoyu Lu |
| 2020 | ICAISC | Application of an Improved Focal Loss in Vehicle Detection. | Xuanlin He, Jie Yang, Nikola K. Kasabov |
| 2020 | IJCNN | Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. | Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2020 | IVCNZ | Vehicle-Related Scene Segmentation Using CapsNets. | Xiaoxu Liu, Wei Qi Yan, Nikola K. Kasabov |
| 2019 | ICONIP | Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. | Dhvani Shah, Grace Y. Wang, Maryam Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov |
| 2019 | IJCNN | eSPANNet: Evolving Spike Pattern Association Neural Network for Spike-based Supervised Incremental Learning and Its Application for Single-trial Brain Computer Interfaces. | Kaushalya Kumarasinghe, Denise Taylor, Nikola K. Kasabov |
| 2018 | ICONIP | A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. | Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov |
| 2018 | ICONIP | Spiking Neural Networks for Cancer Gene Expression Time Series Modelling and Analysis. | Jack Dray, Elisa Capecci, Nikola K. Kasabov |
| 2018 | ICONIP | Modelling and Analysis of Temporal Gene Expression Data Using Spiking Neural Networks. | Durgesh Nandini, Elisa Capecci, Lucien Koefoed, Ibai Laa, Gautam Kishore Shahi, Nikola K. Kasabov |
| 2018 | ICONIP | Analysis, Classification and Marker Discovery of Gene Expression Data with Evolving Spiking Neural Networks. | Gautam Kishore Shahi, Imanol Bilbao, Elisa Capecci, Durgesh Nandini, Maria Choukri, Nikola K. Kasabov |
| 2018 | ICONIP | Discrete Sparse Hashing for Cross-Modal Similarity Search. | Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov |
| 2018 | IJCNN | EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. | Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2018 | ICRA | FaNeuRobot: A Framework for Robot and Prosthetics Control Using the NeuCube Spiking Neural Network Architecture and Finite Automata Theory. | Kaushalya Kumarasinghe, Mahonri Owen, Denise Taylor, Nikola K. Kasabov, Chi Kit |
| 2018 | IJCNN | Analysis of Gene Expression Time Series Data of Ebola Vaccine response using the NeuCube and Temporal Feature Selection. | Lucien Koefoed, Elisa Capecci, Nikola K. Kasabov |
| 2018 | IDC | Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks. | Ibai Laa, Elisa Capecci, Javier Del Ser, Jesus L. Lobo, Nikola K. Kasabov |
| 2018 | IDC | Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks. | Jesus L. Lobo, Javier Del Ser, Ibai Laa, Miren Nekane Bilbao, Nikola K. Kasabov |
| 2017 | ICONIP | Robust Kernel Approximation for Classification. | Fanghui Liu, Xiaolin Huang, Cheng Peng, Jie Yang, Nikola K. Kasabov |
| 2017 | ICONIP | EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube. | Yuma Omori, Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh |
| 2017 | ICONIP | Correlation Filters with Adaptive Memories and Fusion for Visual Tracking. | Cheng Peng, Fanghui Liu, Haiyan Yang, Jie Yang, Nikola K. Kasabov |
| 2016 | ICONIP | Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine. | Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2016 | ICONIP | Analysis of Similarity and Differences in Brain Activities Between Perception and Production of Facial Expressions Using EEG Data and the NeuCube Spiking Neural Network Architecture. | Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh |
| 2016 | IJCNN | Which method to use for optimal structure and function representation of large spiking neural networks: A case study on the NeuCube architecture. | Anne Abbott, Neelava Sengupta, Nikola K. Kasabov |
| 2016 | IJCNN | Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model. | Elisa Capecci, Zohreh Gholami Doborjeh, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Nikola K. Kasabov |
| 2016 | IJCNN | Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. | Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2015 | ICONIP | Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data. | Maryam Gholami Doborjeh, Nikola K. Kasabov |
| 2015 | ICONIP | Adaptive Location for Multiple Salient Objects Detection. | Shaoyong Jia, Yuding Liang, Xianyang Chen, Yun Gu, Jie Yang, Nikola K. Kasabov, Yu Qiao |
| 2015 | ICONIP | Poisson Image Denoising Based on BLS-GSM Method. | Liangdong Li, Nikola K. Kasabov, Jie Yang, Lixiu Yao, Zhenghong Jia |
| 2015 | ICONIP | Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation. | Yu Zhao, Yu Qiao, Jie Yang, Nikola K. Kasabov |
| 2015 | IJCNN | Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. | Elisa Capecci, Josafath Israel Espinosa Ramos, Nadia Mammone, Nikola K. Kasabov, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito |
| 2015 | IJCNN | sEMG-based torque estimation for robot-assisted lower limb rehabilitation. | Long Peng, Zeng-Guang Hou, Nikola K. Kasabov, Jin Hu, Liang Peng, Weiqun Wang |
| 2014 | ICONIP | Classification of fMRI Data in the NeuCube Evolving Spiking Neural Network Architecture. | Norhanifah Murli, Nikola K. Kasabov, Bana Handaga |
| 2014 | ICONIP | Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. | Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov |
| 2014 | ICONIP | Unsupervised Segmentation Using Cluster Ensembles. | Wei Zhang, Jie Yang, Wenjing Jia, Nikola K. Kasabov, Zhenhong Jia, Lei Zhou |
| 2014 | IJCNN | Extracting temporal knowledge from time series: A case study in ecological data. | Reggio N. Hartono, Russel Pears, Nikola K. Kasabov, Susan P. Worner |
| 2014 | IJCNN | Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. | Muhaini Othman, Nikola K. Kasabov, Enmei Tu, Valery Feigin, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu |
| 2014 | IJCNN | Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. | Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou |
| 2014 | IJCNN | NeuCube | Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia |
| 2013 | EANN | Towards a Wearable Coach: Classifying Sports Activities with Reservoir Computing. | Stefan Schliebs, Nikola K. Kasabov, Dave Parry, Doug Hunt |
| 2013 | ICONIP | NeuCubeRehab: A Pilot Study for EEG Classification in Rehabilitation Practice Based on Spiking Neural Networks. | Yixiong Chen, Jin Hu, Nikola K. Kasabov, Zeng-Guang Hou, Long Cheng |
| 2013 | ICONIP | Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples. | Nikola K. Kasabov, Jin Hu, Yixiong Chen, Nathan Matthew Scott, Yulia Turkova |
| 2013 | ICONIP | Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. | Stefan Schliebs, Elisa Capecci, Nikola K. Kasabov |
| 2013 | ICONIP | NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation. | Nathan Matthew Scott, Nikola K. Kasabov, Giacomo Indiveri |
| 2013 | ICONIP | Salient Object Segmentation Based on Automatic Labeling. | Lei Zhou, Chen Gong, Yijun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov |
| 2012 | ICANN | Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. | Stefan Schliebs, Maurizio Fiasch, Nikola K. Kasabov |
| 2012 | ICONIP | Evaluating SPAN Incremental Learning for Handwritten Digit Recognition. | Ammar Mohemmed, Guoyu Lu, Nikola K. Kasabov |
| 2012 | IJCNN | Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning. | Kshitij Dhoble, Nuttapod Nuntalid, Giacomo Indiveri, Nikola K. Kasabov |
| 2012 | IJCNN | Incremental learning algorithm for spatio-temporal spike pattern classification. | Ammar Mohemmed, Nikola K. Kasabov |
| 2011 | ICONIP | Personalised Modelling on SNPs Data for Crohn's Disease Prediction. | Yingjie Hu, Nikola K. Kasabov |
| 2011 | ICONIP | Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition. | Nikola K. Kasabov, Kshitij Dhoble, Nuttapod Nuntalid, Ammar Mohemmed |
| 2011 | ICONIP | Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches. | Wen Liang, Yingjie Hu, Nikola K. Kasabov, Valery Feigin |
| 2011 | ICONIP | SPAN: A Neuron for Precise-Time Spike Pattern Association. | Ammar Mohemmed, Stefan Schliebs, Nikola K. Kasabov |
| 2011 | ICONIP | EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network. | Nuttapod Nuntalid, Kshitij Dhoble, Nikola K. Kasabov |
| 2011 | ICONIP | Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition. | Stefan Schliebs, Haza Nuzly Abdull Hamed, Nikola K. Kasabov |
| 2011 | IJCNN | An extended Evolving Spiking Neural Network model for spatio-temporal pattern classification. | Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Siti Mariyam Shamsuddin, Harya Widiputra, Kshitij Dhoble |
| 2011 | IJCNN | Optimization of Spiking Neural Networks with dynamic synapses for spike sequence generation using PSO. | Ammar Mohemmed, Satoshi Matsuda, Stefan Schliebs, Kshitij Dhoble, Nikola K. Kasabov |
| 2011 | IJCNN | Are probabilistic spiking neural networks suitable for reservoir computing? | Stefan Schliebs, Ammar Mohemmed, Nikola K. Kasabov |
| 2011 | PAKDD | Multiple Time-Series Prediction through Multiple Time-Series Relationships Profiling and Clustered Recurring Trends. | Harya Widiputra, Russel Pears, Nikola K. Kasabov |
| 2010 | ICONIP | Factorizing Class Characteristics via Group MEBs Construction. | Ye Chen, Shaoning Pang, Nikola K. Kasabov |
| 2010 | ICONIP | Tuning N-gram String Kernel SVMs via Meta Learning. | Nuwan Gunasekara, Shaoning Pang, Nikola K. Kasabov |
| 2010 | ICONIP | Towards Spatio-Temporal Pattern Recognition Using Evolving Spiking Neural Networks. | Stefan Schliebs, Nuttapod Nuntalid, Nikola K. Kasabov |
| 2010 | IJCNN | Incremental and decremental LDA learning with applications. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov |
| 2010 | IJCNN | Analyzing the dynamics of the simultaneous feature and parameter optimization of an evolving Spiking Neural Network. | Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov |
| 2010 | KES | Evolving Integrative Brain-, Gene-, and Quantum Inspired Systems for Computational Intelligence and Knowledge Engineering. | Nikola K. Kasabov |
| 2009 | ICANN | Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data. | Maurizio Fiasch, Anju Verma, Maria Cuzzola, Pasquale Iacopino, Nikola K. Kasabov, Francesco Carlo Morabito |
| 2009 | ICANN | Spanning SVM Tree for Personalized Transductive Learning. | Shaoning Pang, Tao Ban, Youki Kadobayashi, Nikola K. Kasabov |
| 2009 | ICONIP | Hierarchical Core Vector Machines for Network Intrusion Detection. | Ye Chen, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi |
| 2009 | ICONIP | String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. | Haza Nuzly Abdull Hamed, Nikola K. Kasabov, Zbynek Michlovsk, Siti Mariyam Hj. Shamsuddin |
| 2009 | ICONIP | Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis. | Yingjie Hu, Nikola K. Kasabov |
| 2009 | ICONIP | String Kernel Based SVM for Internet Security Implementation. | Zbynek Michlovsk, Shaoning Pang, Nikola K. Kasabov, Tao Ban, Youki Kadobayashi |
| 2009 | ICONIP | Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach. | Anju Verma, Maurizio Fiasch, Maria Cuzzola, Pasquale Iacopino, Francesco Carlo Morabito, Nikola K. Kasabov |
| 2009 | ICONIP | A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction. | Harya Widiputra, Henry Kho, Lukas, Russel Pears, Nikola K. Kasabov |
| 2009 | IJCNN | Adaptive incremental principal component analysis in nonstationary online learning environments. | Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola K. Kasabov |
| 2009 | IJCNN | Curiosity driven incremental LDA agent active learning. | Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov |
| 2009 | IJCNN | Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. | Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov |
| 2008 | ICONIP | Vision Based Mobile Robot for Indoor Environmental Security. | Sean W. Gordon, Shaoning Pang, Ryota Nishioka, Nikola K. Kasabov, Takeshi Yamakawa |
| 2008 | ICONIP | A Novel Incremental Linear Discriminant Analysis for Multitask Pattern Recognition Problems. | Masayuki Hisada, Seiichi Ozawa, Kau Zhang, Shaoning Pang, Nikola K. Kasabov |
| 2008 | ICONIP | Personalized Modeling Based Gene Selection for Microarray Data Analysis. | Yingjie Hu, Qun Song, Nikola K. Kasabov |
| 2008 | ICONIP | Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework. | Nikola K. Kasabov |
| 2008 | ICONIP | Incremental Principal Component Analysis Based on Adaptive Accumulation Ratio. | Seiichi Ozawa, Kazuya Matsumoto, Shaoning Pang, Nikola K. Kasabov |
| 2008 | ICONIP | Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network. | Stefan Schliebs, Michael Defoin-Platel, Nikola K. Kasabov |
| 2008 | ICONIP | Ontology Based Personalized Modeling for Chronic Disease Risk Analysis: An Integrated Approach. | Anju Verma, Nikola K. Kasabov, Elaine Rush, Qun Song |
| 2008 | ICONIP | Personalised Modelling for Multiple Time-Series Data Prediction: A Preliminary Investigation in Asia Pacific Stock Market Indexes Movement. | Harya Widiputra, Russel Pears, Nikola K. Kasabov |
| 2008 | IJCNN | r-SVMT: Discovering the knowledge of association rule over SVM classification trees. | Shaoning Pang, Nikola K. Kasabov |
| 2008 | IJCNN | Evolving spiking neural networks for taste recognition. | Snjezana Soltic, Simei Gomes Wysoski, Nikola K. Kasabov |
| 2007 | CEC | A versatile quantum-inspired evolutionary algorithm. | Michael Defoin-Platel, Stefan Schliebs, Nikola K. Kasabov |
| 2007 | HIS | Evolving Connectionist and Hybrid Systems: Methods, Tools, Applications. | Nikola K. Kasabov |
| 2007 | ICANN | Text-Independent Speaker Authentication with Spiking Neural Networks. | Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov |
| 2007 | ICONIP | Evolving Connectionist Systems for Adaptive Sport Coaching. | Boris Bacic, Nikola K. Kasabov, Stephen G. MacDonell, Shaoning Pang |
| 2007 | ICONIP | Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data. | Yingjie Hu, Nikola K. Kasabov |
| 2007 | ICONIP | Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis. | Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov |
| 2007 | ICONIP | Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition. | Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov |
| 2007 | IJCNN | Evolving Brain-Gene Ontology System (EBGOS): Towards Integrating Bioinformatics and Neuroinformatics Data to Facilitate Discoveries. | Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Simei Gomes Wysoski, Frances Joseph |
| 2006 | ACIVS | Adaptive Learning Procedure for a Network of Spiking Neurons and Visual Pattern Recognition. | Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov |
| 2006 | ADMA | TTLSC - Transductive Total Least Square Model for Classification and Its Application in Medicine. | Qun Song, Tianmin Ma, Nikola K. Kasabov |
| 2006 | HIS | Brain-Gene Ontology: Integrating Bioinformatics and Neuroinformatics Data, Information and Knowledge to Enable Discoveries. | Nikola K. Kasabov, Vishal Jain, Paulo C. M. Gottgtroy, Lubica Benuskova, Frances Joseph |
| 2006 | ICANN | On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition. | Simei Gomes Wysoski, Lubica Benuskova, Nikola K. Kasabov |
| 2006 | IJCNN | Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations. | Lubica Benuskova, Simei Gomes Wysoski, Nikola K. Kasabov |
| 2006 | ISNN | Two-Class SVM Trees (2-SVMT) for Biomarker Data Analysis. | Shaoning Pang, Ilkka Havukkala, Nikola K. Kasabov |
| 2006 | ISNN | Investigating LLE Eigenface on Pose and Face Identification. | Shaoning Pang, Nikola K. Kasabov |
| 2005 | ICANN | Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. | Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski |
| 2005 | IJCNN | A computational neurogenetic model of a spiking neuron. | Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski |
| 2005 | IJCNN | Transductive modeling with GA parameter optimization. | Nisha Mohan, Nikola K. Kasabov |
| 2005 | IJCNN | Incremental learning for online face recognition. | Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov |
| 2005 | ISNN | Chunk Incremental LDA Computing on Data Streams. | Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov |
| 2005 | SGAI | Global EM Learning of Finite Mixture Models using the Greedy Elimination Method. | Zeke S. H. Chan, Nikola K. Kasabov |
| 2005 | SGAI | Fast Estimation of Distribution Algorithm (EDA) via Constrained Multi-Parent Recombination. | Zeke S. H. Chan, Nikola K. Kasabov |
| 2005 | SGAI | Computational Intelligence for Bioinformatics: The Knowledge Engineering Approach. | Nikola K. Kasabov |
| 2004 | APBC | A Novel Feature Selection Method to Improve Classification of Gene Expression Data. | Liang Goh, Qun Song, Nikola K. Kasabov |
| 2004 | HIS | Discovering Rules of Adaptation and Interaction: From Molecules and Gene Interaction to Brain Functions. | Nikola K. Kasabov |
| 2004 | ICARCV | An adaptive model of person identification combining speech and image information. | David Zhang, Akbar Ghobakhlou, Nikola K. Kasabov |
| 2004 | ICONIP | An Evolving Neural Network Model for Person Verification Combining Speech and Image. | Akbar Ghobakhlou, David Zhang, Nikola K. Kasabov |
| 2004 | ICONIP | Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. | Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov, Dimiter S. Dimitrov |
| 2004 | ICONIP | Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. | Snjezana Soltic, Shaoning Pang, Nikola K. Kasabov, Susan P. Worner, Lora Peacock |
| 2004 | ICONIP | TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. | Qun Song, Nikola K. Kasabov |
| 2004 | IJCNN | Gene trajectory clustering with a hybrid genetic algorithm and expectation maximization method. | Zeke S. H. Chan, Nikola K. Kasabov |
| 2004 | IJCNN | Computational neurogenetic modelling: gene networks within neural networks. | Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski |
| 2004 | IJCNN | Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems. | Shaoning Pang, Nikola K. Kasabov |
| 2004 | IJCNN | WDN-RBF: weighted data normalization for radial basic function type neural networks. | Qun Song, Nikola K. Kasabov |
| 2004 | PRICAI | A Modified Incremental Principal Component Analysis for On-Line Learning of Feature Space and Classifier. | Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov |
| 2003 | APBC | A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis. | Nikola K. Kasabov, Melanie Middlemiss, T. Lane |
| 2003 | IJCNN | Integrated gene expression analysis of multiple microarray data sets based on a normalization technique and on adaptive connectionist model. | Liang Goh, Nikola K. Kasabov |
| 2003 | IJCNN | Evolutionary computation for dynamic parameter optimisation of evolving connectionist systems for on-line prediction of time series with changing dynamics. | Nikola K. Kasabov, Qun Song, Ikuko Nishikanawa |
| 2003 | IJCNN | Neural systems for solving the inverse problem of recovering the primary signal waveform in potential transformers. | Nikola K. Kasabov, Gancho Venkov, Stefan Minchev |
| 2002 | CEC | Evolutionary optimisation of evolving connectionist systems. | Michael J. Watts, Nikola K. Kasabov |
| 2001 | CEC | Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy. | Michael J. Watts, Nikola K. Kasabov |
| 2001 | ICIP | An evolving localised learning model for on-line image colour quantisation. | Da Deng, Nikola K. Kasabov |
| 2000 | ICPR | Evolving Fuzzy Neural Network for Camera Operations Recognition. | Irena Koprinska, Nikola K. Kasabov |
| 2000 | IJCNN | ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. | Da Deng, Nikola K. Kasabov |
| 2000 | IJCNN | Hybrid System for Robust Recognition of Noisy Speech Based on Evolving Fuzzy Neural Networks and Adaptive Filtering. | Nikola K. Kasabov, Georgi Iliev |
| 1999 | IJCNN | Evolving connectionist systems: A theory and a case study on adaptive speech recognition. | Nikola K. Kasabov |
| 1998 | ICONIP | Evolving Connectionist Systems and Evolving Brains. | Nikola K. Kasabov |
| 1998 | ICONIP | ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm. | Nikola K. Kasabov |
| 1998 | ICONIP | Genetic Algorithms for the Design of Fuzzy Neural Networks. | Michael J. Watts, Nikola K. Kasabov |
| 1998 | SMC | Enhancing recognition systems through an integrated processing of visual and audio information. | Eric O. Postma, Nikola K. Kasabov, H. Jaap van den Herik |
| 1997 | ICONIP | An Agent Based Framework for Modular Speech Recognition and Language Processing Systems. | Andrew R. Gray, Richard Kilgour, Nikola K. Kasabov |
| 1997 | ICONIP | A Methodology for Speech Data Analysis and a Framework for Adaptive Speech Recognition Using Fuzzy Neural Networks. | Nikola K. Kasabov, Robert Kozma, Richard Kilgour, Mark R. Laws, J. Taylor, Michael J. Watts, Andrew R. Gray |
| 1997 | ICONIP | Neuro-Fuzzy and Multivariate Statistical Classification of Fruit Populations Based on Visible-Near Infrared Spectrophotometry Data. | Jaesoo Kim, A. Mowat, P. Poole, Nikola K. Kasabov |
| 1997 | ICONIP | Multi-Agent Implementation of Fractal Analysis by Fuzzy Neural Networks. | Robert Kozma, J. A. Swope, Nikola K. Kasabov, M. J. A. Williams |
| 1997 | ICONIP | Adaptive Training of Radial Basis Function Networks Based on Cooperative Evolution and Evolutionary Programming. | Alexander P. Topchy, Oleg A. Lebedko, Victor V. Miagkikh, Nikola K. Kasabov |
| 1997 | ICONIP | A Membership Function Selection Method for Fuzzy Neural Networks. | Quingqing Zhou, Martin K. Purvis, Nikola K. Kasabov |
| 1993 | IJCAI | Connectionist Fuzzy Production Systems. | Nikola K. Kasabov |
| 1992 | AIMSA | Prognostic Expert Systems on a Hybrid Connectionist Environment. | Nikola K. Kasabov, Daniel Nikovski |
| 1992 | ECAI | Neural Networks and Logic Programming - a Hybrid Model and its Applicability to Building Expert Systems. | Nikola K. Kasabov, S. H. Petkov |
| 1990 | AIMSA | Hybrid Connectionist Rule-Based Systems. | Nikola K. Kasabov |