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Meenakshi Chatterjee
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2020 – today
- 2023
- [c4]Chloe Hinchliffe, Rana Zia Ur Rehman, Diogo Branco, Dan Jackson, Teemu Ahmaniemi, Tiago João Vieira Guerreiro, Meenakshi Chatterjee, Nikolay V. Manyakov, Ioannis Pandis, Kristen Davies, Victoria Macrae, Svenja Aufenberg, Emma Paulides, Hanna Hildesheim, Jennifer Kudelka, Kirsten Emmert, Geert Van Gassen, Lynn Rochester, C. Janneke van der Woude, Ralf Reilmann, Walter Maetzler, Wan-Fai Ng, Silvia Del Din:
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. EMBC 2023: 1-4 - 2022
- [c3]Emmi Antikainen, Rana Zia Ur Rehman, Teemu Ahmaniemi, Meenakshi Chatterjee:
Predicting Daytime Sleepiness from Electrocardiography Based Respiratory Rate Using Deep Learning. CinC 2022: 1-4 - [c2]Luan Chen, Xujun Ma, Meenakshi Chatterjee, Juha M. Kortelainen, Teemu Ahmaniemi, Walter Maetzler, Pei Wang, Daqing Zhang:
Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study. EMBC 2022: 1133-1136 - 2020
- [c1]Meenakshi Chatterjee, Nikolay V. Manyakov, Abigail Bangerter, Dzmitry A. Kaliukhovich, Shyla Jagannatha, Seth Ness, Gahan Pandina:
Learning Scan Paths of Eye Movement in Autism Spectrum Disorder. MIE 2020: 287-291
2010 – 2019
- 2017
- [i2]Meenakshi Chatterjee:
Distributed Framework for Optimal Demand Distribution in Self-Balancing Microgrid. CoRR abs/1701.05312 (2017) - [i1]Meenakshi Chatterjee:
Control Theoretic Approach to Predict Shock Response in Yeast. CoRR abs/1702.07247 (2017)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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