| Unsupervised and scalable subsequence anomaly detection in large data series P Boniol, M Linardi, F Roncallo, T Palpanas, M Meftah, E Remy The VLDB Journal 30 (6), 909-931, 2021 | 43 | 2021 |
| International collaboration framework for the calculation of performance loss rates: Data quality, benchmarks, and trends (towards a uniform methodology) S Lindig, D Moser, AJ Curran, K Rath, A Khalilnejad, RH French, M Herz, ... Progress in Photovoltaics: Research and Applications 29 (6), 573-602, 2021 | 41 | 2021 |
| Graphan: Graph-based subsequence anomaly detection P Boniol, T Palpanas, M Meftah, E Remy Proceedings of the VLDB Endowment 13 (12), 2941-2944, 2020 | 32 | 2020 |
| DCAM: dimension-wise class activation map for explaining multivariate data series classification P Boniol, M Meftah, E Remy, T Palpanas Proceedings of the 2022 International Conference on Management of Data, 1175 …, 2022 | 15 | 2022 |
| A less environment-sensitive and data-based approach to evaluate the performance loss rate of PV power plants M Meftah, E Lajoie-Mazenc, M Van Iseghem, R Perrin, D Boublil, ... Proc. 36th Eur. Photovolt. Solar Energy Conf. Exhib, 1554-1559, 2019 | 6 | 2019 |
| Correction to: Unsupervised and scalable subsequence anomaly detection in large data series P Boniol, M Linardi, F Roncallo, T Palpanas, M Meftah, E Remy The VLDB Journal 32 (2), 469-469, 2023 | 2 | 2023 |
| Reliability and Power Degradation Rates of PERC Modules Using Differentiated Packaging Strategies and Characterization Tools RH French, BD Huey, A Longacre, M Martin, T Moran, OV Kolosov, ... Case Western Reserve Univ., Cleveland, OH (United States), 2021 | 1 | 2021 |
| dCNN/dCAM: anomaly precursors discovery in multivariate time series with deep convolutional neural networks P Boniol, M Meftah, E Remy, B Didier, T Palpanas Data-Centric Engineering 4, e30, 2023 | | 2023 |
| Determination of health status of systems equipped with sensors T Palpanas, M Linardi, P Boniol, F Roncallo, M Meftah, R Emmanuel US Patent 11,471,113, 2022 | | 2022 |
| Détection d'anomalies et identification de leurs précurseurs dans des larges collections de séries temporelles-Application à un matériel de centrales EDF P Boniol, M Meftah, E Remy, T Palpanas Congrès Lambda Mu 23 «Innovations et maîtrise des risques pour un avenir …, 2022 | | 2022 |
