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ORCIDAmadou Ba
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- affiliation: NEC Research Ireland
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2020 – today
- 2024
[i2]Amadou Ba, Pavithra Harsha, Chitra Subramanian:
Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources. CoRR abs/2409.03103 (2024)- 2023
- [j3]Amadou Ba
, Karol Lynch, Joern Ploennigs, Ben Schaper, Christopher Lohse, Fabio Lorenzi:
Automated Configuration of Heterogeneous Graph Neural Networks With a Semantic Math Parser for IoT Systems. IEEE Internet Things J. 10(2): 1042-1052 (2023) - [c11]Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat:
Efficient Extraction of Insights at the Edges of Distributed Systems. IEEE Big Data 2023: 1610-1619 - [c10]Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba:
Two-sample KS test with approxQuantile in Apache Spark®. IEEE Big Data 2023: 1912-1917 - [i1]Abigail Langbridge, Fearghal O'Donncha, Amadou Ba, Fabio Lorenzi, Christopher Lohse, Joern Ploennigs:
Causal Temporal Graph Convolutional Neural Networks (CTGCN). CoRR abs/2303.09634 (2023) - 2022
- [c9]Amadou Ba, Fabio Lorenzi, Joern Ploennigs:
Monitoring of IoT Systems at the Edges with Transformer-based Graph Convolutional Neural Networks. EDGE 2022: 41-49 - 2020
- [c8]Amadou Ba, Alphousseyni Ndiaye, Senghane Mbodji:
Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network. InterSol 2020: 134-145
2010 – 2019
- 2018
- [j2]Joern Ploennigs, Amadou Ba, Michael Barry:
Materializing the Promises of Cognitive IoT: How Cognitive Buildings Are Shaping the Way. IEEE Internet Things J. 5(4): 2367-2374 (2018) - [c7]Nilavra Pathak, Amadou Ba, Joern Ploennigs, Nirmalya Roy:
Forecasting Gas Usage for Big Buildings Using Generalized Additive Models and Deep Learning. SMARTCOMP 2018: 203-210 - 2017
- [j1]Joern Ploennigs, Amadou Ba, Paulito Palmes:
Extending Brick for automated comfort diagnosis. Autom. 65(9): 620-629 (2017) - 2013
- [c6]Amadou Ba, Sean McKenna:
Time-variant regularization in affine projection algorithms. Allerton 2013: 1466-1473 - 2012
- [c5]Francesco Fusco, Amadou Ba:
Fault diagnosis of water distribution networks based on state-estimation and hypothesis testing. Allerton Conference 2012: 886-892 - [c4]Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey:
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS 2012: 2519-2527
2000 – 2009
- 2009
- [c3]Amadou Ba, Slim Hbaieb, Nazih Mechbal, Michel Vergé:
Stochastic adaptive learning rate in an identification method: An approach for on-line drilling processes monitoring. ACC 2009: 5037-5042 - [c2]Amadou Ba, Rafel Pons, Slim Hbaieb, Nazih Mechbal, Michel Vergé:
Particle filters for linear regression and fault diagnosis: An Approach for on-line oilfield drilling processes monitoring. CDC 2009: 2830 - [c1]Amadou Ba, Slim Hbaieb, Nazih Mechbal, Michel Vergé:
Adaptive filter based on Lyapunov stability theory: Application to on-line bit-rock interaction surveillance. ICONS 2009: 402-407
Coauthor Index
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