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2020 – today
- 2024
[j7]Danish Gufran
, Saideep Tiku, Sudeep Pasricha:
SANGRIA: Stacked Autoencoder Neural Networks With Gradient Boosting for Indoor Localization. IEEE Embed. Syst. Lett. 16(2): 142-145 (2024)- [c8]Yifan Yang, Mahmood R. Azimi-Sadjadi, Saideep Tiku, Sudeep Pasricha:
MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting. IJCNN 2024: 1-8 - [i7]Danish Gufran, Saideep Tiku, Sudeep Pasricha:
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization. CoRR abs/2403.01348 (2024) - 2023
- [c7]Danish Gufran, Saideep Tiku, Sudeep Pasricha:
VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization. DAC 2023: 1-6 - [i6]Danish Gufran, Saideep Tiku, Sudeep Pasricha:
VITAL: Vision Transformer Neural Networks for Accurate Smartphone Heterogeneity Resilient Indoor Localization. CoRR abs/2302.09443 (2023) - [i5]Danish Gufran, Saideep Tiku, Sudeep Pasricha:
STELLAR: Siamese Multi-Headed Attention Neural Networks for Overcoming Temporal Variations and Device Heterogeneity with Indoor Localization. CoRR abs/2312.10312 (2023) - 2022
- [j6]Liping Wang, Saideep Tiku, Sudeep Pasricha:
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization With Deep Learning. IEEE Embed. Syst. Lett. 14(1): 23-26 (2022) - [c6]Saideep Tiku, Sudeep Pasricha:
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. DATE 2022: 1215-1220 - [c5]Saideep Tiku, Danish Gufran, Sudeep Pasricha:
Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization. IPIN 2022: 1-8 - [i4]Saideep Tiku, Danish Gufran, Sudeep Pasricha:
Multi-Head Attention Neural Network for Smartphone Invariant Indoor Localization. CoRR abs/2205.08069 (2022) - 2021
- [j5]Saideep Tiku, Prathmesh Kale, Sudeep Pasricha:
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(4): 44:1-44:30 (2021) - [i3]Saideep Tiku, Prathmesh Kale, Sudeep Pasricha:
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices. CoRR abs/2104.07521 (2021) - [i2]Liping Wang, Saideep Tiku, Sudeep Pasricha:
CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning. CoRR abs/2107.01192 (2021) - [i1]Saideep Tiku, Sudeep Pasricha:
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices. CoRR abs/2112.00654 (2021) - 2020
- [j4]Saideep Tiku, Sudeep Pasricha, Branislav M. Notaros, Qi Han:
A Hidden Markov Model based smartphone heterogeneity resilient portable indoor localization framework. J. Syst. Archit. 108: 101806 (2020) - [j3]Saideep Tiku, Sudeep Pasricha:
Overcoming Security Vulnerabilities in Deep Learning-based Indoor Localization Frameworks on Mobile Devices. ACM Trans. Embed. Comput. Syst. 18(6): 114:1-114:24 (2020)
2010 – 2019
- 2019
- [j2]Saideep Tiku, Sudeep Pasricha:
PortLoc: A Portable Data-Driven Indoor Localization Framework for Smartphones. IEEE Des. Test 36(5): 18-26 (2019) - [c4]Saideep Tiku, Sudeep Pasricha, Branislav M. Notaros, Qi Han:
SHERPA: A Lightweight Smartphone Heterogeneity Resilient Portable Indoor Localization Framework. ICESS 2019: 1-8 - 2018
- [c3]Ayush Mittal, Saideep Tiku, Sudeep Pasricha:
Adapting Convolutional Neural Networks for Indoor Localization with Smart Mobile Devices. ACM Great Lakes Symposium on VLSI 2018: 117-122 - 2017
- [j1]Christopher Langlois, Saideep Tiku, Sudeep Pasricha:
Indoor Localization with Smartphones: Harnessing the Sensor Suite in Your Pocket. IEEE Consumer Electron. Mag. 6(4): 70-80 (2017) - [c2]Sudeep Pasricha, Janardhan Rao Doppa, Krishnendu Chakrabarty, Saideep Tiku, Daniel Dauwe, Shi Jin, Partha Pratim Pande:
Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper). CODES+ISSS 2017: 27:1-27:10 - [c1]Saideep Tiku, Sudeep Pasricha:
Energy-efficient and robust middleware prototyping for smart mobile computing. RSP 2017: 2-8
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