Noise tolerant moments for neural network classification. - Ramaswamy Palaniappan; P. Raveendran 001; Sigeru Omatu 001 (IJCNN, 1999)

Neural Network Classification of Symmetrical and Nonsymmetrical Images Using New Moments with High Noise Tolerance. - Ramaswamy Palaniappan; Paramesran Raveendran; Sigeru Omatu 001 (Int. J. Pattern Recognit. Artif. Intell., 1999)

Evolutionary fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals. - Ramaswamy Palaniappan; Paramesran Raveendran; Shogo Nishida; Naoki Saiwaki (SMC, 2000)

Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network. - Paramesran Raveendran; Ramaswamy Palaniappan; Sigeru Omatu 001 (Inf. Sci., 2000)

New Invariant Moments for Non-Uniformly Scaled Images. - Ramaswamy Palaniappan; Paramesran Raveendran; Sigeru Omatu 001 (Pattern Anal. Appl., 2000)

Power and asymmetry ratio of spectral bands for mental task recognition. - Ramaswamy Palaniappan; Paramesran Raveendran (ISSPA, 2001)

Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG. - Ramaswamy Palaniappan; Paramesran Raveendran (APCCAS (2), 2002)

Two level PCA to reduce noise and EEG from evoked potential signals. - Ramaswamy Palaniappan; S. Anandan; Paramesran Raveendran (ICARCV, 2002)

N1-P2 Evoked Response as a Measure for Short-Term Visual Memory. - Ramaswamy Palaniappan; Paramesran Raveendran (JCIS, 2002)

Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response. - Ramaswamy Palaniappan; Paramesran Raveendran (Appl. Soft Comput., 2002)

VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics. - Ramaswamy Palaniappan; Paramesran Raveendran; Sigeru Omatu 001 (IEEE Trans. Neural Networks, 2002)

Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? - Ramaswamy Palaniappan; Danilo P. Mandic (ICANN (2), 2005)

Classification of Alcohol Abusers: An Intelligent Approach. - P. Sharmila Kanna; Ramaswamy Palaniappan; K. V. R. Ravi (ICITA (1), 2005)

Recognising Individuals Using Their Brain Patterns. - K. V. R. Ravi; Ramaswamy Palaniappan (ICITA (2), 2005)

Extracting Single Trial Visual Evoked Potentials using Selective Eigen-Rate Principal Components. - Andrews Samraj; Ramaswamy Palaniappan; Nidal S. Kamel (IEC (Prague), 2005)

Discrimination of Alcoholic Subjects using Second Order Autoregressive Modelling of Brain Signals Evoked during Visual Stimulus Perception. - Ramaswamy Palaniappan (IEC (Prague), 2005)

Effects of Hidden Unit Sizes and Autoregressive Features in Mental Task Classification. - Ramaswamy Palaniappan; Nai-Jen Huan (IEC (Prague), 2005)

New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems. - M. Senthil Arumugam; M. V. C. Rao; Ramaswamy Palaniappan (Appl. Soft Comput., 2005)

Electroencephalogram Signals from Imagined Activities: A Novel Biometric Identifier for a Small Population. - Ramaswamy Palaniappan (IDEAL, 2006)

Simplified fuzzy ARTMAP classification of individuals using optimal VEP channels. - K. V. R. Ravi; Ramaswamy Palaniappan; Swee-Huay Heng (Int. J. Knowl. Based Intell. Eng. Syst., 2006)

Improving visual evoked potential feature classification for person recognition using PCA and normalization. - Ramaswamy Palaniappan; K. V. R. Ravi (Pattern Recognit. Lett., 2006)

Neural network classification of late gamma band electroencephalogram features. - K. Ravi; Ramaswamy Palaniappan (Soft Comput., 2006)

Neural network classification of homomorphic segmented heart sounds. - Cota Navin Gupta; Ramaswamy Palaniappan; Sundaram Swaminathan; Shankar M. Krishnan (Appl. Soft Comput., 2007)

Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis. - Cota Navin Gupta; Ramaswamy Palaniappan (Comput. Intell. Neurosci., 2007)

Biometrics from Brain Electrical Activity: A Machine Learning Approach. - Ramaswamy Palaniappan; Danilo P. Mandic (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

EEG Based Biometric Framework for Automatic Identity Verification. - Ramaswamy Palaniappan; Danilo P. Mandic (J. VLSI Signal Process., 2007)

Identity Verification using Resting State Brain Signals. - Ramaswamy Palaniappan; Lalit M. Patnaik (Encyclopedia of Information Ethics and Security, 2007)

On the Complexity and Energy Analyses in EEG between Alcoholic and Control Subjects during Delayed Matching to Sample Paradigm. - Tugce Balli; Ramaswamy Palaniappan (Int. J. Comput. Intell. Appl., 2008)

Novel analysis technique for a brain biometric system. - Cota Navin Gupta; Ramaswamy Palaniappan; Sundaram Swaminathan (Int. J. Medical Eng. Informatics, 2008)

Two-Stage Biometric Authentication Method Using Thought Activity Brain Waves. - Ramaswamy Palaniappan (Int. J. Neural Syst., 2008)

Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance. - Ramaswamy Palaniappan; Chikkannan Eswaran (Appl. Soft Comput., 2009)

PIN Generation Using Single Channel EEG Biometric. - Ramaswamy Palaniappan; Jenish Gosalia; Kenneth Revett; Andrews Samraj (ACC (4), 2011)

Considerations on Strategies to Improve EOG Signal Analysis. - Tobias Wissel; Ramaswamy Palaniappan (Int. J. Artif. Life Res., 2011)

Improving classification accuracy using intra-session classifier training and implementation for a BCI based on automated parameter selection. - Chanan S. Syan; Randy E. S. Harnarinesingh; Ramaswamy Palaniappan (Int. J. Intell. Syst. Technol. Appl., 2012)

Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. - Surej Mouli; Ramaswamy Palaniappan; Ian P. Sillitoe; John Q. Gan (BIBE, 2013)

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (Biomed. Signal Process. Control., 2013)

Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG. - Tugce Balli; Ramaswamy Palaniappan (Int. J. Medical Eng. Informatics, 2013)

Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (PhyCS, 2014)

Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (PhyCS (Selected Papers), 2014)

PIN generation using EEG: a stability study. - Ramaswamy Palaniappan; Kenneth Revett (Int. J. Biom., 2014)

On the stimulus duty cycle in steady state visual evoked potential. - John J. Wilson; Ramaswamy Palaniappan (Int. J. Knowl. Based Intell. Eng. Syst., 2014)

Exploring Swarm-Based Visual Effects. - Somnuk Phon-Amnuaisuk; Ramaswamy Palaniappan (IES, 2015)

Improving the Feature Stability and Classification Performance of Bimodal Brain and Heart Biometrics. - Ramaswamy Palaniappan; Samraj Andrews; Ian P. Sillitoe; Tarsem Shira; Raveendran Paramesran (SIRS, 2015)

A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation. - Surej Mouli; Ramaswamy Palaniappan; Ian P. Sillitoe (Brain-Computer Interfaces, 2015)

Radial photic stimulation for maximal EEG response for BCI applications. - Surej Mouli; Ramaswamy Palaniappan (HSI, 2016)

A segmented-mean feature extraction method for glove-based system to enhance physiotherapy for accurate and speedy recuperation of limbs. - Andrews Samraj; Kalvina Rajendran; Ramaswamy Palaniappan (ICACCI, 2016)

Multiresolution analysis over graphs for a motor imagery based online BCI game. - Javier Asensio-Cubero; John Q. Gan; Ramaswamy Palaniappan (Comput. Biol. Medicine, 2016)

Muscle Connectivity Analysis for Hand Gesture Recognition via sEMG. - Yuzhou Lin; Philippe De Wilde; Ramaswamy Palaniappan; Ling Li 010 (APSIPA, 2018)

Early Detection of Continuous and Partial Audio Events Using CNN. - Ian McLoughlin 001; Yan Song 001; Lam Dang Pham; Ramaswamy Palaniappan; Huy Phan; Yue Lang (INTERSPEECH, 2018)

Automatic Quantitative Analysis of Human Respired Carbon Dioxide Waveform for Asthma and Non-Asthma Classification Using Support Vector Machine. - Om Prakash Singh; Ramaswamy Palaniappan; M. B. Malarvili (IEEE Access, 2018)

Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments. - Ramaswamy Palaniappan; Aruna Duraisingam; Nithyakalyani Chinnaiah; Murugappan Murugappan (HCI (15), 2019)

A Robust Framework for Acoustic Scene Classification. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Ramaswamy Palaniappan (INTERSPEECH, 2019)

Predicting students' final degree classification using an extended profile. - Sahar Al-Sudani; Ramaswamy Palaniappan (Educ. Inf. Technol., 2019)

Pose Estimation from Electromyographical Data using Convolutional Neural Networks. - Robin Ayling; Colin G. Johnson; Ling Li 010; Ramaswamy Palaniappan (EMBC, 2020)

A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet. - Yuzhou Lin; Ramaswamy Palaniappan; Philippe De Wilde; Ling Li 010 (EMBC, 2020)

Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Minh Tran; Truc Nguyen; Ramaswamy Palaniappan (EMBC, 2020)

Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. - Lam Dang Pham; Ian McLoughlin 001; Huy Phan; Ramaswamy Palaniappan; Alfred Mertins (IJCNN, 2020)

Time-Frequency Feature Fusion for Noise Robust Audio Event Classification. - Ian McLoughlin 001; Zhipeng Xie; Yan Song 001; Huy Phan; Ramaswamy Palaniappan (Circuits Syst. Signal Process., 2020)

Tragus based Vagus Nerve Stimulation for Stress Reduction. - Surej Mouli; Ramaswamy Palaniappan; Jane Ollis; Ian McLoughlin 001; Rahul Kanegaonkar; Sunil Arora (BIOSIGNALS, 2021)

Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. - Aruna Duraisingam; Ramaswamy Palaniappan; Daniele Soria (EMBC, 2021)

Acoustic Based Footstep Detection in Pervasive Healthcare. - Summoogum Kelvin; Debayan Das; Dasgupta Subham; Ian McLoughlin 001; Christos Efstratiou; Ramaswamy Palaniappan (EMBC, 2021)

Auditory Evoked Potential Detection During Pure-Tone Audiometry. - George Langroudi; Ramaswamy Palaniappan; Ian McLoughlin 001 (NER, 2021)

Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study. - Emmanuel Molefi; Ramaswamy Palaniappan; Ian McLoughlin 001 (NER, 2021)

Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times. - Ramaswamy Palaniappan; Surej Mouli; Evangelia Fringi; Howard Bowman; Ian McLoughlin 001 (IEEE Access, 2021)

Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. - Lam Dang Pham; Huy Phan; Truc Nguyen; Ramaswamy Palaniappan; Alfred Mertins; Ian McLoughlin 001 (Digit. Signal Process., 2021)

CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. - Lam Pham; Huy Phan; Ramaswamy Palaniappan; Alfred Mertins; Ian McLoughlin 001 (IEEE J. Biomed. Health Informatics, 2021)

Vibro-motor Reprocessing Therapy towards Managing Motion Sickness Reduction: Evidence from EEG. - Emmanuel Molefi; Ramaswamy Palaniappan; Ian McLoughlin 001 (EMBC, 2022)

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG. - Ramaswamy Palaniappan; Surej Mouli; Howard Bowman; Ian McLoughlin 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Passive Tracking of Gait Biomarkers in Older Adults: Feasibility of an Acoustic Based Approach for Non-Intrusive gait Analysis. - Kelvin Summoogum; Debayan Das; Christos Efstratiou; Ramaswamy Palaniappan; Parvati Jayakumar; John Wall (BSN, 2023)

Transcutaneous Auricular Vagus Nerve Stimulation towards Visually Induced Motion Sickness Reduction: A Pilot Study. - Emmanuel Molefi; Ian McLoughlin 001; Ramaswamy Palaniappan (EMBC, 2023)

Heart Rate Variability Responses to Visually Induced Motion Sickness. - Emmanuel Molefi; Ian McLoughlin 001; Ramaswamy Palaniappan (EMBC, 2023)

Did You Hear That? Detecting Auditory Events with EEGNet. - George Ramzi; Ian McLoughlin 001; Ramaswamy Palaniappan (EMBC, 2023)