Stochastic adaptive learning rate in an identification method: An approach for on-line drilling processes monitoring. - Amadou Ba; Slim Hbaieb; Nazih Mechbal; Michel Vergé (ACC, 2009)

Particle filters for linear regression and fault diagnosis: An Approach for on-line oilfield drilling processes monitoring. - Amadou Ba; Rafel Pons; Slim Hbaieb; Nazih Mechbal; Michel Vergé (CDC, 2009)

Adaptive filter based on Lyapunov stability theory: Application to on-line bit-rock interaction surveillance. - Amadou Ba; Slim Hbaieb; Nazih Mechbal; Michel Vergé (ICONS, 2009)

Fault diagnosis of water distribution networks based on state-estimation and hypothesis testing. - Francesco Fusco; Amadou Ba (Allerton Conference, 2012)

Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. - Amadou Ba; Mathieu Sinn; Yannig Goude; Pascal Pompey (NIPS, 2012)

Time-variant regularization in affine projection algorithms. - Amadou Ba; Sean McKenna (Allerton, 2013)

Extending Brick for automated comfort diagnosis. - Joern Ploennigs; Amadou Ba; Paulito Palmes (Autom., 2017)

Forecasting Gas Usage for Big Buildings Using Generalized Additive Models and Deep Learning. - Nilavra Pathak; Amadou Ba; Joern Ploennigs; Nirmalya Roy (SMARTCOMP, 2018)

Materializing the Promises of Cognitive IoT: How Cognitive Buildings Are Shaping the Way. - Joern Ploennigs; Amadou Ba; Michael Barry (IEEE Internet Things J., 2018)

Supervision Strategy of a Hybrid System PV with Storage for Injection to the Electrical Network. - Amadou Ba; Alphousseyni Ndiaye; Senghane Mbodji (InterSol, 2020)

Monitoring of IoT Systems at the Edges with Transformer-based Graph Convolutional Neural Networks. - Amadou Ba; Fabio Lorenzi; Joern Ploennigs (EDGE, 2022)

Efficient Extraction of Insights at the Edges of Distributed Systems. - Amadou Ba; Fearghal O'Donncha; Joern Ploennigs; Muneeza Azmat (IEEE Big Data, 2023)

Two-sample KS test with approxQuantile in Apache Spark®. - Bradley Eck; Duygu Kabakci-Zorlu; Amadou Ba (IEEE Big Data, 2023)

Causal Temporal Graph Convolutional Neural Networks (CTGCN). - Abigail Langbridge; Fearghal O'Donncha; Amadou Ba; Fabio Lorenzi; Christopher Lohse; Joern Ploennigs (CoRR, 2023)

Automated Configuration of Heterogeneous Graph Neural Networks With a Semantic Math Parser for IoT Systems. - Amadou Ba; Karol Lynch; Joern Ploennigs; Ben Schaper; Christopher Lohse; Fabio Lorenzi (IEEE Internet Things J., 2023)

Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting Model. - Amadou Ba (IEEE Big Data, 2024)

Leveraging Interpretability in the Transformer to Automate the Proactive Scaling of Cloud Resources. - Amadou Ba; Pavithra Harsha; Chitra Subramanian (CoRR, 2024)