Amadou Ba

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 9

Top Topics

Temporal Dimension

Automatic Diagnosis

Generalized Additive Models

Top Venues

IEEE Internet Things J.

Publications

Abigail Langbridge, Fearghal O'Donncha, Amadou Ba, Fabio Lorenzi, Christopher Lohse, Joern Ploennigs
Causal Temporal Graph Convolutional Neural Networks (CTGCN). CoRR (2023)
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) (2023)
Amadou Ba, Fearghal O'Donncha, Joern Ploennigs, Muneeza Azmat
Efficient Extraction of Insights at the Edges of Distributed Systems. BigData (2023)
Bradley Eck, Duygu Kabakci-Zorlu, Amadou Ba
Two-sample KS test with approxQuantile in Apache Spark®. BigData (2023)
Amadou Ba, Fabio Lorenzi, Joern Ploennigs
Monitoring of IoT Systems at the Edges with Transformer-based Graph Convolutional Neural Networks. EDGE (2022)
Amadou Ba, Alphousseyni Ndiaye, Senghane Mbodji
Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network. InterSol (2020)
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) (2018)
Nilavra Pathak, Amadou Ba, Joern Ploennigs, Nirmalya Roy
Forecasting Gas Usage for Big Buildings Using Generalized Additive Models and Deep Learning. SMARTCOMP (2018)
Joern Ploennigs, Amadou Ba, Paulito Palmes
Extending Brick for automated comfort diagnosis. Autom. 65 (9) (2017)
Amadou Ba, Sean McKenna
Time-variant regularization in affine projection algorithms. Allerton (2013)
Francesco Fusco, Amadou Ba
Fault diagnosis of water distribution networks based on state-estimation and hypothesis testing. Allerton Conference (2012)
Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS (2012)
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)
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)
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)