Arijit Ukil
Orcid: 0000-0003-1794-6719
According to our database1,
Arijit Ukil
authored at least 68 papers
between 2008 and 2024.
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Bibliography
2024
Criticality-aware Deconfounded Classification of Long-tailed Multi-label 12-lead Electrocardiogram.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Structured Lottery Ticket Hypothesis for Effective Deep Neural Network Model Size Reduction.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Explainability by Shapley attribution for electrocardiogram-based algorithmic diagnosis under subtractive counterfactual reasoning setup.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
Towards a Task-agnostic Distillation Methodology for Creating Edge Foundation Models.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024
2023
DOST - Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels.
CoRR, 2023
Priv-Aug-Shap-ECGResNet: Privacy Preserving Shapley-Value Attributed Augmented Resnet for Practical Single-Lead Electrocardiogram Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
Knowledge-driven Analytics and Systems Impacting Human Quality of Life- Neurosymbolic AI, Explainable AI and Beyond.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
ADV-ResNet: Residual Network with Controlled Adversarial Regularization for Effective Classification of Practical Time Series Under Training Data Scarcity Problem.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
LTH-ECG: Lottery Ticket Hypothesis-based Deep Learning Model Compression for Atrial Fibrillation Detection from Single Lead ECG On Wearable and Implantable Devices.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the Second International Conference on AI-ML Systems, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Blend-Res<sup>2</sup>net: Blended Representation Space by Transformation of Residual Mapping with Restrained Learning for Time Series Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021
Resource Constrained CVD Classification Using Single Lead ECG On Wearable and Implantable Devices.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Human-Centric Analytics and Systems Impacting Quality of Life: ECG Analytics and Beyond.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
L1 and L2 Regularized Deep Residual Network Model for Automated Detection of Myocardial Infarction (Heart Attack) Using Electrocardiogram Signals.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
SRDCNN: Strongly Regularized Deep Convolution Neural Network Architecture for Time-series Sensor Signal Classification Tasks.
CoRR, 2020
Sig-R<sup>2</sup>ResNet: Residual Network with Signal Processing-refined Residual Mapping, Auto-tuned L1-Regularization with Modified Adam Optimizer for Time Series Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Instant Adaptive Learning: An Adaptive Filter Based Fast Learning Model Construction for Sensor Signal Time Series Classification on Edge Devices.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks.
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020
2019
Data-Driven Automated Cardiac Health Management with Robust Edge Analytics and De-Risking.
Sensors, 2019
DyReg-FResNet: Unsupervised Feature Space Amplified Dynamic Regularized Residual Network for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Fusing Features based on Signal Properties and TimeNet for Time Series Classification.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Effective Noise Removal and Unified Model of Hybrid Feature Space Optimization for Automated Cardiac Anomaly Detection Using Phonocardiogarm Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Pattern Analysis in Physiological Pulsatile Signals: An Aid to Personalized Healthcare.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications.
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018
2017
Smart cardiac health management in IoT through heart sound signal analytics and robust noise filtering.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017
Heartmate: automated integrated anomaly analysis for effective remote cardiac health management.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016
iCarMa: Inexpensive Cardiac Arrhythmia Management - An IoT Healthcare Analytics Solution.
Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems, 2016
Proceedings of the IEEE Symposium on Computers and Communication, 2016
Heart-trend: An affordable heart condition monitoring system exploiting morphological pattern.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the eHealth 360°, 2016
Cardiac Condition Monitoring through Photoplethysmogram Signal Denoising Using Wearables: Can We Detect Coronary Artery Disease with Higher Performance Efficacy?
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016
2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
Why not keep your personal data secure yet private in IoT?: Our lightweight approach.
Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
Adaptive Sensor Data Compression in IoT systems: Sensor data analytics based approach.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 2015 Data Compression Conference, 2015
LESS: Lightweight Establishment of Secure Session: A Cross-Layer Approach Using CoAP and DTLS-PSK Channel Encryption.
Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2015
2014
Int. J. Pervasive Comput. Commun., 2014
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014
Proceedings of the IEEE Symposium on Computers and Communications, 2014
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
2013
Integrated predictive call admission control and resource reservation for wireless networks: an adaptive filtering approach.
Trans. Emerg. Telecommun. Technol., 2013
Proceedings of the International Workshop on Adaptive Security, 2013
2012
Proceedings of the First International Conference on Security of Internet of Things, 2012
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012
2011
CoRR, 2011
Dynamic OFDMA Resource Allocation for QoS Guarantee and System Optimization of Best Effort and Non Real-time Traffic
CoRR, 2011
Long-Term Proportional Fair QoS Profile Follower Sub-carrier Allocation Algorithm in Dynamic OFDMA Systems
CoRR, 2011
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
Proceedings of the Sixth IEEE International Symposium on Electronic Design, 2011
2010
Proceedings of the Computational Science and Its Applications, 2010
Proceedings of the 3rd Bangalore Annual Compute Conference, Compute 2010, 2010
Proceedings of the 2010 International Conference on Computer Information Systems and Industrial Management Applications, 2010
2008
Proceedings of the 16th International Conference on Networks, 2008