Bubacarr Bah - RankMe

41 papers A* 1A 1C 1Misc 2Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Physics-informed neural networks for Timoshenko system with Thermoelasticity. CoRR Sabrine Chebbi, Joseph Muthui Wacira, Makram Hamouda, Bubacarr Bah
2024	J	`jnl`	Recent methodological advances in federated learning for healthcare. Patterns Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie P. G. Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
2024	—	`conf`	This Actually Looks Like that: Proto-BagNets for Local and Global Interpretability-by-Design. MICCAI (10) Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch
2024	J	`jnl`	This actually looks like that: Proto-BagNets for local and global interpretability-by-design. CoRR Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch
2023	J	`jnl`	A physics-informed neural network framework for modeling obstacle-related equations. CoRR Hamid El Bahja, Jan Christian Hauffen, Peter Jung, Bubacarr Bah, Issa Karambal
2023	J	`jnl`	Improved identification accuracy in equation learning via comprehensive R CoRR Daniel Nickelsen, Bubacarr Bah
2023	J	`jnl`	Improved identification accuracy in equation learning via comprehensive R2-elimination and Bayesian model selection. Trans. Mach. Learn. Res. Daniel Nickelsen, Bubacarr Bah
2023	—	`conf`	Neural-Gradient Maximum Power Point Tracking Method for Solar Panel. ICECET Joseph Muthui Wacira, Alessandro N. Vargas, Bubacarr Bah, Leonardo Poltronieri Sampaio
2023	—	`conf`	Sparse Activations for Interpretable Disease Grading. MIDL Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
2023	—	`conf`	Wind Power Prediction with HCNNs for Turbines. ICECET Rockefeller Rockefeller, Bubacarr Bah, Hans-Georg Zimmermann, Vukosi Marivate
2021	J	`jnl`	Discrete optimization methods for group model selection in compressed sensing. Math. Program. Bubacarr Bah, Jannis Kurtz, Oliver Schaudt
2021	J	`jnl`	Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks. CoRR Jannis Kurtz, Bubacarr Bah
2021	Misc	`conf`	Improving the Reliability of Pooled Testing with Combinatorial Decoding and Compressed Sensing. CISS Hendrik Bernd Petersen, Shankar Agarwal, Peter Jung, Bubacarr Bah
2021	—	`conf`	Low Rank Matrix Approximation for Imputing Missing Categorical Data. SACAIR Joseph Muthui Wacira, Dinna Ranirina, Bubacarr Bah
2021	—	`conf`	Towards the Localisation of Lesions in Diabetic Retinopathy. SAI (3) Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink
2020	J	`jnl`	An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions. CoRR Bubacarr Bah, Jannis Kurtz
2020	J	`jnl`	Editorial: Recent Developments in Signal Approximation and Reconstruction. Frontiers Appl. Math. Stat. Bubacarr Bah, Jean-Luc Bouchot
2020	J	`jnl`	Efficient Noise-Blind 𝓁 CoRR Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung
2020	C	`conf`	On Error Correction Neural Networks for Economic Forecasting. FUSION Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann
2020	J	`jnl`	On Error Correction Neural Networks for Economic Forecasting. CoRR Mhlasakululeka Mvubu, Emmanuel Kabuga, Christian Plitz, Bubacarr Bah, Ronnie Becker, Hans-Georg Zimmermann
2020	J	`jnl`	Practical High-Throughput, Non-Adaptive and Noise-Robust SARS-CoV-2 Testing. CoRR Hendrik Bernd Petersen, Bubacarr Bah, Peter Jung
2020	J	`jnl`	Towards the Localisation of Lesions in Diabetic Retinopathy. CoRR Samuel Ofosu Mensah, Bubacarr Bah, Willie Brink
2019	J	`jnl`	Discrete Optimization Methods for Group Model Selection in Compressed Sensing. CoRR Bubacarr Bah, Jannis Kurtz, Oliver Schaudt
2019	J	`jnl`	Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers. CoRR Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
2019	J	`jnl`	Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness. Comput. Biol. Medicine Emily Muller, Jonathan P. Shock, Andreas Bender, Julian Kleeberger, Tobias Högen, Martin Justinus Rosenfelder, Bubacarr Bah, Alex Lopez-Rolon
2018	J	`jnl`	On the Construction of Sparse Matrices From Expander Graphs. Frontiers Appl. Math. Stat. Bubacarr Bah, Jared Tanner
2018	J	`jnl`	On the construction of sparse matrices from expander graphs. CoRR Bubacarr Bah, Jared Tanner
2016	A	`conf`	Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	J	`jnl`	Convex block-sparse linear regression with expanders - provably. CoRR Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	J	`jnl`	The Sample Complexity of Weighted Sparse Approximation. IEEE Trans. Signal Process. Bubacarr Bah, Rachel A. Ward
2016	J	`jnl`	Weighted sparse recovery with expanders. CoRR Bubacarr Bah
2015	J	`jnl`	The sample complexity of weighted sparse approximation. CoRR Bubacarr Bah, Rachel A. Ward
2014	Misc	`conf`	Metric learning with rank and sparsity constraints. ICASSP Bubacarr Bah, Stephen Becker, Volkan Cevher, Baran Gozcu
2014	A*	`conf`	Model-based Sketching and Recovery with Expanders. SODA Bubacarr Bah, Luca Baldassarre, Volkan Cevher
2013	J	`jnl`	Energy-aware adaptive bi-Lipschitz embeddings. CoRR Bubacarr Bah, Ali Sadeghian, Volkan Cevher
2013	J	`jnl`	On construction and analysis of sparse random matrices and expander graphs with applications to compressed sensing. CoRR Bubacarr Bah, Jared Tanner
2013	J	`jnl`	Vanishingly Sparse Matrices and Expander Graphs, With Application to Compressed Sensing. IEEE Trans. Inf. Theory Bubacarr Bah, Jared Tanner
2012	J	`jnl`	Bounds of restricted isometry constants in extreme asymptotics: formulae for Gaussian matrices CoRR Bubacarr Bah, Jared Tanner
2012	J	`jnl`	Vanishingly Sparse Matrices and Expander Graphs, with application to compressed sensing CoRR Bubacarr Bah, Jared Tanner
2010	J	`jnl`	Improved Bounds on Restricted Isometry Constants for Gaussian Matrices CoRR Bubacarr Bah, Jared Tanner
2010	J	`jnl`	Improved Bounds on Restricted Isometry Constants for Gaussian Matrices. SIAM J. Matrix Anal. Appl. Bubacarr Bah, Jared Tanner