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ORCIDRamaswamy Palaniappan
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2020 – today
- 2023
[c39]Kelvin Summoogum, Debayan Das, Christos Efstratiou, Ramaswamy Palaniappan, Parvati Jayakumar, John Wall:
Passive Tracking of Gait Biomarkers in Older Adults: Feasibility of an Acoustic Based Approach for Non-Intrusive gait Analysis. BSN 2023: 1-4- [c38]Emmanuel Molefi, Ian McLoughlin, Ramaswamy Palaniappan:
Transcutaneous Auricular Vagus Nerve Stimulation towards Visually Induced Motion Sickness Reduction: A Pilot Study. EMBC 2023: 1-4 - [c37]Emmanuel Molefi, Ian McLoughlin, Ramaswamy Palaniappan:
Heart Rate Variability Responses to Visually Induced Motion Sickness. EMBC 2023: 1-4 - [c36]George Ramzi, Ian McLoughlin, Ramaswamy Palaniappan:
Did You Hear That? Detecting Auditory Events with EEGNet. EMBC 2023: 1-4 - 2022
- [j31]Ramaswamy Palaniappan
, Surej Mouli, Howard Bowman, Ian McLoughlin:
Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG. IEEE Trans. Intell. Transp. Syst. 23(8): 13878-13883 (2022) - [c35]Emmanuel Molefi, Ramaswamy Palaniappan, Ian McLoughlin:
Vibro-motor Reprocessing Therapy towards Managing Motion Sickness Reduction: Evidence from EEG. EMBC 2022: 4781-4784 - 2021
- [j30]Ramaswamy Palaniappan, Surej Mouli, Evangelia Fringi, Howard Bowman, Ian McLoughlin:
Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times. IEEE Access 9: 29143-29152 (2021) - [j29]Lam Dang Pham, Huy Phan, Truc Nguyen, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin:
Robust acoustic scene classification using a multi-spectrogram encoder-decoder framework. Digit. Signal Process. 110: 102943 (2021) - [j28]Lam Pham, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin:
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection. IEEE J. Biomed. Health Informatics 25(8): 2938-2947 (2021) - [c34]Surej Mouli, Ramaswamy Palaniappan, Jane Ollis, Ian McLoughlin, Rahul Kanegaonkar, Sunil Arora:
Tragus based Vagus Nerve Stimulation for Stress Reduction. BIOSIGNALS 2021: 164-168 - [c33]Aruna Duraisingam, Ramaswamy Palaniappan, Daniele Soria:
Attentional bias towards high and low caloric food on repeated visual food stimuli: An ERP study. EMBC 2021: 740-743 - [c32]Summoogum Kelvin, Debayan Das, Dasgupta Subham, Ian McLoughlin, Christos Efstratiou, Ramaswamy Palaniappan:
Acoustic Based Footstep Detection in Pervasive Healthcare. EMBC 2021: 4974-4977 - [c31]George Langroudi, Ramaswamy Palaniappan, Ian McLoughlin:
Auditory Evoked Potential Detection During Pure-Tone Audiometry. NER 2021: 919-922 - [c30]Emmanuel Molefi, Ramaswamy Palaniappan, Ian McLoughlin:
Motion Sickness Reduction through Vibro-motor Reprocessing Therapy: A First Study. NER 2021: 937-940 - 2020
- [j27]Ian McLoughlin, Zhipeng Xie, Yan Song, Huy Phan, Ramaswamy Palaniappan:
Time-Frequency Feature Fusion for Noise Robust Audio Event Classification. Circuits Syst. Signal Process. 39(3): 1672-1687 (2020) - [c29]Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. EMBC 2020: 164-167 - [c28]Yuzhou Lin, Ramaswamy Palaniappan, Philippe De Wilde, Ling Li:
A normalisation approach improves the performance of inter-subject sEMG-based hand gesture recognition with a ConvNet. EMBC 2020: 649-652 - [c27]Robin Ayling, Colin G. Johnson, Ling Li, Ramaswamy Palaniappan:
Pose Estimation from Electromyographical Data using Convolutional Neural Networks. EMBC 2020: 653-656 - [c26]Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins:
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. IJCNN 2020: 1-7 - [i4]Lam Dang Pham, Ian McLoughlin, Huy Phan, Minh Tran, Truc Nguyen, Ramaswamy Palaniappan:
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases. CoRR abs/2002.03894 (2020) - [i3]Lam Dang Pham, Huy Phan, Truc Nguyen, Ramaswamy Palaniappan, Alfred Mertins, Ian McLoughlin:
Robust Acoustic Scene Classification using a Multi-Spectrogram Encoder-Decoder Framework. CoRR abs/2002.04502 (2020) - [i2]Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan, Alfred Mertins:
Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification. CoRR abs/2002.04857 (2020) - [i1]Ramaswamy Palaniappan, Surej Mouli, Evangelia Fringi, Howard Bowman, Ian McLoughlin:
Incandescent Bulb and LED Brake Lights: Novel Analysis of Reaction Times. CoRR abs/2010.10584 (2020)
2010 – 2019
- 2019
- [j26]Sahar Al-Sudani, Ramaswamy Palaniappan:
Predicting students' final degree classification using an extended profile. Educ. Inf. Technol. 24(4): 2357-2369 (2019) - [c25]Ramaswamy Palaniappan, Aruna Duraisingam, Nithyakalyani Chinnaiah, Murugappan Murugappan:
Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments. HCI (15) 2019: 446-460 - [c24]Lam Dang Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan:
A Robust Framework for Acoustic Scene Classification. INTERSPEECH 2019: 3634-3638 - 2018
- [j25]Om Prakash Singh, Ramaswamy Palaniappan, M. B. Malarvili:
Automatic Quantitative Analysis of Human Respired Carbon Dioxide Waveform for Asthma and Non-Asthma Classification Using Support Vector Machine. IEEE Access 6: 55245-55256 (2018) - [c23]Yuzhou Lin, Philippe De Wilde, Ramaswamy Palaniappan, Ling Li:
Muscle Connectivity Analysis for Hand Gesture Recognition via sEMG. APSIPA 2018: 848-852 - [c22]Ian McLoughlin, Yan Song, Lam Dang Pham, Ramaswamy Palaniappan, Huy Phan, Yue Lang:
Early Detection of Continuous and Partial Audio Events Using CNN. INTERSPEECH 2018: 3314-3318 - 2016
- [j24]Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan:
Multiresolution analysis over graphs for a motor imagery based online BCI game. Comput. Biol. Medicine 68: 21-26 (2016) - [c21]Surej Mouli, Ramaswamy Palaniappan:
Radial photic stimulation for maximal EEG response for BCI applications. HSI 2016: 362-367 - [c20]Andrews Samraj, Kalvina Rajendran, Ramaswamy Palaniappan:
A segmented-mean feature extraction method for glove-based system to enhance physiotherapy for accurate and speedy recuperation of limbs. ICACCI 2016: 1983-1988 - 2015
- [c19]Somnuk Phon-Amnuaisuk, Ramaswamy Palaniappan:
Exploring Swarm-Based Visual Effects. IES 2015: 333-341 - [c18]Ramaswamy Palaniappan, Samraj Andrews, Ian P. Sillitoe, Tarsem Shira, Raveendran Paramesran:
Improving the Feature Stability and Classification Performance of Bimodal Brain and Heart Biometrics. SIRS 2015: 175-186 - [p1]Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe:
A Configurable, Inexpensive, Portable, Multi-channel, Multi-frequency, Multi-chromatic RGB LED System for SSVEP Stimulation. Brain-Computer Interfaces 2015: 241-269 - 2014
- [j23]Ramaswamy Palaniappan, Kenneth Revett:
PIN generation using EEG: a stability study. Int. J. Biom. 6(2): 95-105 (2014) - [j22]John J. Wilson, Ramaswamy Palaniappan:
On the stimulus duty cycle in steady state visual evoked potential. Int. J. Knowl. Based Intell. Eng. Syst. 18(2): 73-79 (2014) - [c17]Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan:
Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification. PhyCS (Selected Papers) 2014: 3-19 - [c16]Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan:
Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces. PhyCS 2014: 5-12 - 2013
- [j21]Javier Asensio-Cubero, John Q. Gan, Ramaswamy Palaniappan:
Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomed. Signal Process. Control. 8(6): 772-778 (2013) - [j20]Tugce Balli, Ramaswamy Palaniappan:
Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG. Int. J. Medical Eng. Informatics 5(2): 103-116 (2013) - [c15]Surej Mouli, Ramaswamy Palaniappan, Ian P. Sillitoe, John Q. Gan:
Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli. BIBE 2013: 1-4 - 2012
- [j19]Chanan S. Syan, Randy E. S. Harnarinesingh, Ramaswamy Palaniappan:
Improving classification accuracy using intra-session classifier training and implementation for a BCI based on automated parameter selection. Int. J. Intell. Syst. Technol. Appl. 11(1/2): 36-48 (2012) - 2011
- [j18]Tobias Wissel, Ramaswamy Palaniappan:
Considerations on Strategies to Improve EOG Signal Analysis. Int. J. Artif. Life Res. 2(3): 6-21 (2011) - [c14]Ramaswamy Palaniappan, Jenish Gosalia, Kenneth Revett, Andrews Samraj:
PIN Generation Using Single Channel EEG Biometric. ACC (4) 2011: 378-385
2000 – 2009
- 2009
- [j17]Ramaswamy Palaniappan, Chikkannan Eswaran:
Using genetic algorithm to select the presentation order of training patterns that improves simplified fuzzy ARTMAP classification performance. Appl. Soft Comput. 9(1): 100-106 (2009) - 2008
- [j16]Tugce Balli, Ramaswamy Palaniappan:
On the Complexity and Energy Analyses in EEG between Alcoholic and Control Subjects during Delayed Matching to Sample Paradigm. Int. J. Comput. Intell. Appl. 7(3): 301-315 (2008) - [j15]Cota Navin Gupta, Ramaswamy Palaniappan, Sundaram Swaminathan:
Novel analysis technique for a brain biometric system. Int. J. Medical Eng. Informatics 1(2): 266-273 (2008) - [j14]Ramaswamy Palaniappan:
Two-Stage Biometric Authentication Method Using Thought Activity Brain Waves. Int. J. Neural Syst. 18(1): 59-66 (2008) - 2007
- [j13]Cota Navin Gupta, Ramaswamy Palaniappan, Sundaram Swaminathan, Shankar M. Krishnan:
Neural network classification of homomorphic segmented heart sounds. Appl. Soft Comput. 7(1): 286-297 (2007) - [j12]Cota Navin Gupta, Ramaswamy Palaniappan:
Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis. Comput. Intell. Neurosci. 2007 (2007) - [j11]Ramaswamy Palaniappan, Danilo P. Mandic:
Biometrics from Brain Electrical Activity: A Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 738-742 (2007) - [j10]Ramaswamy Palaniappan, Danilo P. Mandic:
EEG Based Biometric Framework for Automatic Identity Verification. J. VLSI Signal Process. 49(2): 243-250 (2007) - [r1]Ramaswamy Palaniappan, Lalit M. Patnaik:
Identity Verification using Resting State Brain Signals. Encyclopedia of Information Ethics and Security 2007: 335-341 - 2006
- [j9]K. V. R. Ravi, Ramaswamy Palaniappan, Swee-Huay Heng:
Simplified fuzzy ARTMAP classification of individuals using optimal VEP channels. Int. J. Knowl. Based Intell. Eng. Syst. 10(6): 445-452 (2006) - [j8]Ramaswamy Palaniappan, K. V. R. Ravi:
Improving visual evoked potential feature classification for person recognition using PCA and normalization. Pattern Recognit. Lett. 27(7): 726-733 (2006) - [j7]K. Ravi, Ramaswamy Palaniappan:
Neural network classification of late gamma band electroencephalogram features. Soft Comput. 10(2): 163-169 (2006) - [c13]Ramaswamy Palaniappan:
Electroencephalogram Signals from Imagined Activities: A Novel Biometric Identifier for a Small Population. IDEAL 2006: 604-611 - 2005
- [j6]M. Senthil Arumugam, M. V. C. Rao, Ramaswamy Palaniappan:
New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems. Appl. Soft Comput. 6(1): 38-52 (2005) - [c12]Ramaswamy Palaniappan, Danilo P. Mandic:
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? ICANN (2) 2005: 735-740 - [c11]P. Sharmila Kanna, Ramaswamy Palaniappan, K. V. R. Ravi:
Classification of Alcohol Abusers: An Intelligent Approach. ICITA (1) 2005: 470-474 - [c10]K. V. R. Ravi, Ramaswamy Palaniappan:
Recognising Individuals Using Their Brain Patterns. ICITA (2) 2005: 520-523 - [c9]Ramaswamy Palaniappan:
Discrimination of Alcoholic Subjects using Second Order Autoregressive Modelling of Brain Signals Evoked during Visual Stimulus Perception. IEC (Prague) 2005: 282-287 - [c8]Ramaswamy Palaniappan, Nai-Jen Huan:
Effects of Hidden Unit Sizes and Autoregressive Features in Mental Task Classification. IEC (Prague) 2005: 288-293 - [c7]Andrews Samraj, Ramaswamy Palaniappan, Nidal S. Kamel:
Extracting Single Trial Visual Evoked Potentials using Selective Eigen-Rate Principal Components. IEC (Prague) 2005: 330-333 - 2002
- [j5]Ramaswamy Palaniappan, Paramesran Raveendran:
Using genetic algorithm to identify the discriminatory subset of multi-channel spectral bands for visual response. Appl. Soft Comput. 2(1): 48-60 (2002) - [j4]Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu:
VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics. IEEE Trans. Neural Networks 13(2): 486-491 (2002) - [c6]Ramaswamy Palaniappan, Paramesran Raveendran:
Genetic algorithm to select features for fuzzy ARTMAP classification of evoked EEG. APCCAS (2) 2002: 53-56 - [c5]Ramaswamy Palaniappan, S. Anandan, Paramesran Raveendran:
Two level PCA to reduce noise and EEG from evoked potential signals. ICARCV 2002: 1688-1693 - [c4]Ramaswamy Palaniappan, Paramesran Raveendran:
N1-P2 Evoked Response as a Measure for Short-Term Visual Memory. JCIS 2002: 545-548 - 2001
- [c3]Ramaswamy Palaniappan, Paramesran Raveendran:
Power and asymmetry ratio of spectral bands for mental task recognition. ISSPA 2001: 745-746 - 2000
- [j3]Paramesran Raveendran, Ramaswamy Palaniappan, Sigeru Omatu:
Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network. Inf. Sci. 130(1-4): 67-84 (2000) - [j2]Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu:
New Invariant Moments for Non-Uniformly Scaled Images. Pattern Anal. Appl. 3(2): 78-87 (2000) - [c2]Ramaswamy Palaniappan, Paramesran Raveendran, Shogo Nishida, Naoki Saiwaki:
Evolutionary fuzzy ARTMAP for autoregressive model order selection and classification of EEG signals. SMC 2000: 3682-3686
1990 – 1999
- 1999
- [j1]Ramaswamy Palaniappan, Paramesran Raveendran, Sigeru Omatu:
Neural Network Classification of Symmetrical and Nonsymmetrical Images Using New Moments with High Noise Tolerance. Int. J. Pattern Recognit. Artif. Intell. 13(8): 1233-1250 (1999) - [c1]Ramaswamy Palaniappan, P. Raveendran, Sigeru Omatu:
Noise tolerant moments for neural network classification. IJCNN 1999: 2802-2807
Coauthor Index
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