Temporal shortest paths: Parallel computing implementations. - Nicolas Tremblay; Michael Florian (Parallel Comput., 2001)

Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture. - Baoxin Hu; Shen-En Qian; Driss Haboudane; John R. Miller 001; Allan Hollinger; Nicolas Tremblay (IGARSS, 2002)

Corn OSAVI as related to soil electrical conductivity and nitrogen fertilization rates. - Nicolas Tremblay; Philippe Vigneault; Driss Haboudane; John R. Miller 001 (IGARSS, 2003)

Detection of chlorophyll fluorescence in vegetation from airborne hyperspectral CASI imagery in the red edge spectral region. - Pablo J. Zarco-Tejada; John R. Miller 001; Driss Haboudane; Nicolas Tremblay; S. Apostol (IGARSS, 2003)

Indices-based approach for crop chlorophyll content retrieval from hyperspectral data. - Driss Haboudane; Nicolas Tremblay; Philippe Vigneault; John R. Miller 001 (IGARSS, 2007)

Estimation of Plant Chlorophyll using Hyperspectral Observations and Radiative Transfer Models: Spectral Indices Sensitivity and Crop-Type Effects. - Driss Haboudane; Nicolas Tremblay; John R. Miller 001; Philippe Vigneault (IGARSS (3), 2008)

Hyperspectral Data Segmentation and Classification in Precision Agriculture: A Multi-Scale Analysis. - Yannick Lanthier; Abdou Bannari; Driss Haboudane; John R. Miller 001; Nicolas Tremblay (IGARSS (2), 2008)

Application of a simulation-based dynamic traffic assignment model. - Michael Florian; Michael Mahut; Nicolas Tremblay (Eur. J. Oper. Res., 2008)

Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data. - Driss Haboudane; Nicolas Tremblay; John R. Miller 001; Philippe Vigneault (IEEE Trans. Geosci. Remote. Sens., 2008)

Fuzzy Logic Approach for Spatially Variable Nitrogen Fertilization of Corn Based on Soil, Crop and Precipitation Information. - Yacine Bouroubi; Nicolas Tremblay; Philippe Vigneault; Carl Bélec; Bernard Panneton; Serge Guillaume (ICCSA (1), 2011)

Bootstrapping under constraint for the assessment of group behavior in human contact networks - Nicolas Tremblay; Alain Barrat; Cary Forest; Mark Nornberg; Jean-François Pinton; Pierre Borgnat (CoRR, 2012)

Multiscale community mining in networks using spectral graph wavelets. - Nicolas Tremblay; Pierre Borgnat (EUSIPCO, 2013)

Multiscale community mining in networks using the graph wavelet transform of random vectors. - Nicolas Tremblay; Pierre Borgnat (GlobalSIP, 2013)

Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition. - Romain Fontugne; Nicolas Tremblay; Pierre Borgnat; Patrick Flandrin; Hiroshi Esaki (ICASSP, 2013)

Strip, bind, and search: a method for identifying abnormal energy consumption in buildings. - Romain Fontugne; Jorge Ortiz 001; Nicolas Tremblay; Pierre Borgnat; Patrick Flandrin; Kensuke Fukuda; David E. Culler; Hiroshi Esaki (IPSN, 2013)

Critical Nitrogen Curve and Remote Detection of Nitrogen Nutrition Index for Corn in the Northwestern Plain of Shandong Province, China. - Pengfei Chen; Jihua Wang; Wenjiang Huang; Nicolas Tremblay; Yangzhu Ou; Qian Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Graph Empirical Mode Decomposition. - Nicolas Tremblay; Pierre Borgnat; Patrick Flandrin (EUSIPCO, 2014)

Linear spectral unmixing for crop and soil information extraction from a single worldview-2 image. - Yacine Bouroubi; Nicolas Tremblay; Philippe Vigneault; Mathieu Benoit (IGARSS, 2014)

Graph Wavelets for Multiscale Community Mining. - Nicolas Tremblay; Pierre Borgnat (IEEE Trans. Signal Process., 2014)

Community mining with graph filters for correlation matrices. - Pierre Borgnat; Paulo Gonçalves 001; Nicolas Tremblay; Nathanael Willaime-Angonin (ACSSC, 2015)

Joint filtering of graph and graph-signals. - Nicolas Tremblay; Pierre Borgnat (ACSSC, 2015)

Multiscale anisotropic texture unsupervised clustering for photographic paper. - Stéphane G. Roux; Nicolas Tremblay; Pierre Borgnat; Patrice Abry; Herwig Wendt; Paul Messier (WIFS, 2015)

Random sampling of bandlimited signals on graphs. - Gilles Puy; Nicolas Tremblay; Rémi Gribonval; Pierre Vandergheynst (CoRR, 2015)

Multiscale Anisotropic Texture Analysis and Classification of Photographic Prints: Art scholarship meets image processing algorithms. - Patrice Abry; Stéphane G. Roux; Herwig Wendt; Paul Messier; Andrew G. Klein; Nicolas Tremblay; Pierre Borgnat; Stéphane Jaffard; Béatrice Vedel; Jim Coddington; Lee Ann Daffner (IEEE Signal Process. Mag., 2015)

Implementing the New ISO/IEC 29110 Systems Engineering Process Standard in a Small Public Transportation Company. - Claude Y. Laporte; Nicolas Tremblay; Jamil Menaceur; Denis Poliquin (EuroSPI, 2016)

Accelerated spectral clustering using graph filtering of random signals. - Nicolas Tremblay; Gilles Puy; Pierre Borgnat; Rémi Gribonval; Pierre Vandergheynst (ICASSP, 2016)

Compressive Spectral Clustering. - Nicolas Tremblay; Gilles Puy; Rémi Gribonval; Pierre Vandergheynst (ICML, 2016)

Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. - Luc Le Magoarou; Rémi Gribonval; Nicolas Tremblay (CoRR, 2016)

Subgraph-Based Filterbanks for Graph Signals. - Nicolas Tremblay; Pierre Borgnat (IEEE Trans. Signal Process., 2016)

Analyzing the approximation error of the fast graph Fourier transform. - Luc Le Magoarou; Nicolas Tremblay; Rémi Gribonval (ACSSC, 2017)

Graph sampling with determinantal processes. - Nicolas Tremblay; Pierre-Olivier Amblard; Simon Barthelmé (EUSIPCO, 2017)

Compressive K-means. - Nicolas Keriven; Nicolas Tremblay; Yann Traonmilin; Rémi Gribonval (ICASSP, 2017)

Systems engineering and management processes for small organizations with ISO/IEC 29110: An implementation in a small public transportation company. - Claude Y. Laporte; Nicolas Tremblay; Jamil Menaceur; Denis Poliquin; Ronald Houde (SysCon, 2017)

Multi-scale structural community organisation of the human genome. - Rasha E. Boulos; Nicolas Tremblay; Alain Arneodo; Pierre Borgnat; Benjamin Audit (BMC Bioinform., 2017)

Echantillonnage de signaux sur graphes via des processus déterminantaux. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2017)

Design of graph filters and filterbanks. - Nicolas Tremblay; Paulo Gonçalves 001; Pierre Borgnat (CoRR, 2017)

Subsampling with K Determinantal Point Processes for Estimating Statistics in Large Data Sets. - Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (SSP, 2018)

Optimized Algorithms to Sample Determinantal Point Processes. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (CoRR, 2018)

Ground Reflectance Retrieval on Horizontal and Inclined Terrains Using the Software Package REFLECT. - Yacine Bouroubi; Wided Batita; François Cavayas; Nicolas Tremblay (Remote. Sens., 2018)

Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. - Luc Le Magoarou; Rémi Gribonval; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2019)

Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2019)

Approximating Spectral Clustering via Sampling: a Review. - Nicolas Tremblay; Andreas Loukas (CoRR, 2019)

Determinantal Point Processes for Coresets. - Nicolas Tremblay; Simon Barthelmé; Pierre-Olivier Amblard (J. Mach. Learn. Res., 2019)

Optimal Laplacian Regularization for Sparse Spectral Community Detection. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (ICASSP, 2020)

Smoothing Graph Signals via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2020)

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2020)

Fast Graph Kernel with Optical Random Features. - Hashem Ghanem; Nicolas Keriven; Nicolas Tremblay (ICASSP, 2021)

Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2021)

A Unified Framework for Spectral Clustering in Sparse Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (J. Mach. Learn. Res., 2021)

Use of Oblique RGB Imagery and Apparent Surface Area of Plants for Early Estimation of Above-Ground Corn Biomass. - Kosal Khun; Nicolas Tremblay; Bernard Panneton; Philippe Vigneault; Etienne Lord; François Cavayas; Claude Codjia (Remote. Sens., 2021)

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (EUSIPCO, 2022)

Gaussian Process Regression in the Flat Limit. - Simon Barthelmé; Pierre-Olivier Amblard; Nicolas Tremblay; Konstantin Usevich (CoRR, 2022)

A Faster Sampler for Discrete Determinantal Point Processes. - Simon Barthelmé; Nicolas Tremblay; Pierre-Olivier Amblard (AISTATS, 2023)

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. - Hugo Jaquard; Michaël Fanuel; Pierre-Olivier Amblard; Rémi Bardenet; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2023)

Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs. - Matthieu Cordonnier; Nicolas Keriven; Nicolas Tremblay; Samuel Vaiter (CoRR, 2023)

Graph signals, structures and sketches. - Nicolas Tremblay (2024)

Seeking Universal Approximation for Continuous Limits of Graph Neural Networks on Large Random Graphs. - Matthieu Cordonnier; Nicolas Keriven; Nicolas Tremblay; Samuel Vaiter (IEEECONF, 2024)

Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. - Hugo Jaquard; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (CoRR, 2024)