John A. Lee - RankMe

48 papers B 20Journal 20Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving on early exaggeration in t -SNE: Early hierarchization better preserves global structure. Neurocomputing John A. Lee, Edouard Couplet, Pierre Lambert, Pierre Merveille, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2025	J	`jnl`	Low-dimensional embeddings of high-dimensional data. CoRR Cyril de Bodt, Alex Diaz-Papkovich, Michael Bleher, Kerstin Bunte, Corinna Coupette, Sebastian Damrich, Enrique Fita Sanmartin, Fred A. Hamprecht, Emoke-Ágnes Horvát, Dhruv Kohli, Smita Krishnaswamy, John A. Lee, Boudewijn P. F. Lelieveldt, Leland McInnes, Ian T. Nabney, Maximilian Noichl, Pavlin G. Policar, Bastian Rieck, Guy Wolf, Gal Mishne, Dmitry Kobak
2024	B	`conf`	Estimated neighbour sets and smoothed sampled global interactions are sufficient for a fast approximate tSNE. ESANN Pierre Lambert, Edouard Couplet, Cyril de Bodt, John A. Lee
2024	B	`conf`	Forget early exaggeration in t-SNE: early hierarchization preserves global structure. ESANN John A. Lee, Edouard Couplet, Pierre Lambert, Ludovic Journaux, Dounia Mulders, Cyril de Bodt, Michel Verleysen
2024	J	`jnl`	Investigating latent representations and generalization in deep neural networks for tabular data. Neurocomputing Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2024	—	`conf`	PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. MICAD Wei Zhao, Margerie Huet-Dastarac, Sylvain Deffet, Edmond Sterpin, Ana M. Barragan-Montero, Sébastien Jodogne, John A. Lee
2024	B	`conf`	SDE U-Net: Disentangling Aleatoric and Epistemic Uncertainties in Medical Image Segmentation. ESANN Chuxin Zhang, Ana Maria Barragán-Montero, John A. Lee
2024	J	`jnl`	The proton arc therapy treatment planning problem is NP-Hard. Comput. Biol. Medicine Viktor Wase, Sophie Wuyckens, John A. Lee, Michael Saint-Guillain
2023	J	`jnl`	Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients. CoRR Margerie Huet-Dastarac, Dan Nguyen, Steve B. Jiang, John A. Lee, Ana M. Barragan-Montero
2023	—	`conf`	Natively Interpretable t-SNE. PKDD/ECML Workshops (1) Edouard Couplet, Pierre Lambert, Michel Verleysen, Dounia Mulders, John A. Lee, Cyril de Bodt
2023	B	`conf`	Nesterov momentum and gradient normalization to improve t-SNE convergence and neighborhood preservation, without early exaggeration. ESANN Pierre Lambert, John A. Lee, Edouard Couplet, Cyril de Bodt
2023	B	`conf`	On the number of latent representations in deep neural networks for tabular data. ESANN Edouard Couplet, Pierre Lambert, Michel Verleysen, John A. Lee, Cyril de Bodt
2023	J	`jnl`	Semi-supervised Neurocomputing Walter Serna-Serna, Cyril de Bodt, Andrés Marino Álvarez-Meza, John A. Lee, Michel Verleysen, Álvaro-Ángel Orozco-Gutiérrez
2023	B	`conf`	Single-pass uncertainty estimation with layer ensembling for regression: application to proton therapy dose prediction for head and neck cancer. ESANN Ana Maria Barragán-Montero, Robin Tilman, Margerie Huet-Dastarac, John A. Lee
2022	J	`jnl`	Compressive Imaging Through Optical Fiber with Partial Speckle Scanning. SIAM J. Imaging Sci. Stéphanie Guérit, Siddharth Sivankutty, John A. Lee, Hervé Rigneault, Laurent Jacques
2022	J	`jnl`	Deep learning to detect bacterial colonies for the production of vaccines. Neurocomputing Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
2022	J	`jnl`	SQuadMDS: A lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like Neurocomputing Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2022	J	`jnl`	SQuadMDS: a lean Stochastic Quartet MDS improving global structure preservation in neighbor embedding like t-SNE and UMAP. CoRR Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2022	J	`jnl`	Treatment planning in arc proton therapy: Comparison of several optimization problem statements and their corresponding solvers. Comput. Biol. Medicine Sophie Wuyckens, Michael Saint-Guillain, Guillaume Janssens, Lewei Zhao, Xiaoqiang Li, Xuanfeng Ding, Edmond Sterpin, John A. Lee, Kevin Souris
2022	J	`jnl`	Tuning Database-Friendly Random Projection Matrices for Improved Distance Preservation on Specific Data. Appl. Intell. Daniel López Sánchez, Cyril de Bodt, John A. Lee, Angélica González Arrieta, Juan M. Corchado
2021	J	`jnl`	Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT. Comput. Biol. Medicine Eliott Brion, Jean Léger, Ana M. Barragan-Montero, Nicolas Meert, John A. Lee, Benoît Macq
2021	B	`conf`	Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models. ESANN John A. Lee, Alyssa Vanginderdeuren, Margerie Huet-Dastarac, Ana Maria Barragán-Montero
2021	B	`conf`	Impact of data subsamplings in Fast Multi-Scale Neighbor Embedding. ESANN Pierre Lambert, John A. Lee, Michel Verleysen, Cyril de Bodt
2021	B	`conf`	Stochastic quartet approach for fast multidimensional scaling. ESANN Pierre Lambert, Cyril de Bodt, Michel Verleysen, John A. Lee
2020	B	`conf`	Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. ESANN Paul Smyth, John A. Lee, Gaël de Lannoy, Thomas Beznik
2020	J	`jnl`	Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. CoRR Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
2020	B	`conf`	Perplexity-free Parametric t-SNE. ESANN Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2020	J	`jnl`	Perplexity-free Parametric t-SNE. CoRR Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu
2019	B	`conf`	Class-aware t-SNE: cat-SNE. ESANN Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee
2019	B	`conf`	Semantic segmentation of computed tomography for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentation. Image Processing Umair Javaid, Damien Dasnoy, John A. Lee
2019	B	`conf`	Tensor factorization to extract patterns in multimodal EEG data. ESANN Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen
2019	—	`conf`	Using planning CTs to enhance CNN-based bladder segmentation on cone beam CT. Image-Guided Procedures Eliott Brion, Jean Léger, Umair Javaid, John A. Lee, Christophe De Vleeschouwer, Benoît Macq
2018	J	`jnl`	A novel method for network intrusion detection based on nonlinear SNE and SVM. Int. J. Artif. Intell. Soft Comput. Yasir Hamid, Ludovic Journaux, John A. Lee, M. Sugumaran
2018	J	`jnl`	Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks. CoRR Umair Javaid, John A. Lee
2018	B	`conf`	Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs). ESANN Umair Javaid, John A. Lee
2018	B	`conf`	Contour Propagation in CT Scans with Convolutional Neural Networks. ACIVS Jean Léger, Eliott Brion, Umair Javaid, John A. Lee, Christophe De Vleeschouwer, Benoît Macq
2018	B	`conf`	Extensive assessment of Barnes-Hut t-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2018	B	`conf`	Information visualisation and machine learning: latest trends towards convergence. ESANN Benoît Frénay, Bruno Dumas, John A. Lee
2018	B	`conf`	Multi-organ Segmentation of Chest CT Images in Radiation Oncology: Comparison of Standard and Dilated UNet. ACIVS Umair Javaid, Damien Dasnoy, John A. Lee
2018	B	`conf`	Perplexity-free t-SNE and twice Student tt-SNE. ESANN Cyril de Bodt, Dounia Mulders, Michel Verleysen, John A. Lee
2016	J	`jnl`	Blind Deconvolution of PET Images using Anatomical Priors. CoRR Stéphanie Guérit, Adriana Gonzalez, Anne Bol, John A. Lee, Laurent Jacques
2016	—	`conf`	Image deconvolution by local order preservation of pixels values. EUSIPCO Stéphanie Guérit, Laurent Jacques, John A. Lee
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
2015	J	`jnl`	Post-Reconstruction Deconvolution of PET Images by Total Generalized Variation Regularization. CoRR Stéphanie Guérit, Laurent Jacques, Benoît Macq, John A. Lee
2015	—	`conf`	Post-reconstruction deconvolution of PET images by total generalized variation regularization. EUSIPCO Stéphanie Guérit, Laurent Jacques, Benoît Macq, John A. Lee
2013	—	`conf`	Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations. VAMP@EuroVis Francisco J. García-Fernández, Michel Verleysen, John A. Lee, Ignacio Díaz Blanco
2010	—	`conf`	On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. COMPSTAT John A. Lee, Michel Verleysen
2001	—	`conf`	Recursive learning rules for SOMs. WSOM John A. Lee, Nicolas Donckers, Michel Verleysen