Publications

L. De Petris, I. De Visscher, G. Stempfel, F. Rooseleer. A Framework to Use Machine Learning and Provide Assurance for Safety-Critical Air Traffic Management Applications – Methodology and Examples of Applications. 12th SESAR Innovation Days, Budapest, 2022.

L. Frigerio, I. De Visscher, G. Stempfel, R. Barragan Montes, C. Chalon Morgan. Dynamic Pairwise Wake Vortex Separations for Arrivals using Predictive Machine Learning Models. 33rd ICAS Congress, Stockholm, 2022.

L. De Petris, I. De Visscher, G. Stempfel, A. Jacques, M. Saidi, C. Chalon Morgan. Machine Learning Supporting Enhanced Optimized Spacing Delivery between Consecutive Departing Aircraft. 12th EASN International Conference, Barcelona, 2022; Journal of Physics: Conference Series 2526, 012108, 2023.

G. Stempfel, I. De Visscher, M. Ellejmi, V. Brossard, A. Bonnefoy, V. Treve. Applying Machine Learning Modeling to Enhance Runway Throughput at a Big European Airport. 10th EASN International Conference; IOP Conference Series: Materials Science and Engineering 1024, 012106, 2021.

I. De Visscher, G. Stempfel, F. Rooseleer, V. Treve. Data mining and Machine Learning techniques supporting Time-Based Separation concept deployment. 37th IEEE/AIAA Digital Avionics Systems Conference (DASC), London, 2018, pp. 594–603.

L. Ralaivola, M. Szafranski, G. Stempfel. Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes. Journal of Machine Learning Research 11(65), 1927–1956, 2010. — Conference version: Chromatic PAC-Bayes Bounds for Non-IID Data. Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), 2009.

G. Stempfel, L. Ralaivola. Learning SVMs from Sloppily Labeled Data. Artificial Neural Networks – ICANN, Limassol, 2009.

G. Stempfel, L. Ralaivola. Learning Kernel Perceptrons on Noisy Data Using Random Projections. Algorithmic Learning Theory (ALT), Sendai, 2007.

H. Lachambre, B. Ricaud, G. Stempfel, B. Torrésani, C. Wiesmeyr, D. M. Onchis. Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis. 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timișoara, 2015, pp. 109–112.

P. Boussard, G. Amadasi, H. Lachambre, G. Stempfel, S. Molla. Separation of Tonal and Transient Components for Sound Design Remixing. 22nd International Congress on Sound and Vibration (ICSV22), Florence, 2015.

B. Ricaud, G. Stempfel, B. Torrésani, C. Wiesmeyr, H. Lachambre, D. Onchis. An optimally concentrated Gabor transform for localized time-frequency components. Advances in Computational Mathematics, 2014.

T. Leissing, C. Audoly, H. Lachambre, G. Stempfel. Advanced signal processing methods for the analysis of transient radiated noise from submarines. Inter-Noise 2014, INTER-NOISE and NOISE-CON Congress and Conference Proceedings 249(7), 852–861, 2014.