Isabelle Bloch

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All published works

Action	Title	Year	Authors
+ PDF Chat	An action language-based formalisation of an abstract argumentation framework	2024	Yann Munro Camilo Sarmiento Isabelle Bloch Gauvain Bourgne Catherine Pélachaud Marie‐Jeanne Lesot
+ PDF Chat	Exploiting temporal information to detect conversational groups in videos and predict the next speaker	2024	Lucrezia Tosato Victor Fortier Isabelle Bloch Catherine Pélachaud
+ PDF Chat	Ultraproducts in abstract categorical logic	2024	Marc Aiguier Isabelle Bloch Romain Pascual
+	Functional analysis on hypergraphs: Density and zeta functions – applications to molecular graphs and image analysis	2024	Isabelle Bloch Alain Bretto
+ PDF Chat	Meta-learners for few-shot weakly-supervised medical image segmentation	2024	Hugo Oliveira Pedro H. T. Gama Isabelle Bloch Roberto M. César
+ PDF Chat	Encoding the Latent Posterior of Bayesian Neural Networks for Uncertainty Quantification	2023	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+	Exploiting temporal information to detect conversational groups in videos and predict the next speaker	2023	Lucrezia Tosato Victor Fortier Isabelle Bloch Catherine Pélachaud
+	Morpho-logic from a topos perspective – application to symbolic AI	2023	Marc Aiguier Isabelle Bloch Salim Nibouche Ramón Pino Pérez
+ PDF Chat	Model-based inexact graph matching on top of DNNs for semantic scene understanding	2023	Jérémy Chopin Jean-Baptiste Fasquel Harold Mouchère Rozenn Dahyot Isabelle Bloch
+ PDF Chat	Learning to Diagnose Cirrhosis from Radiological and Histological Labels with Joint Self and Weakly-Supervised Pretraining Strategies	2023	Emma Sarfati Alexandre Bône Marc-Michel Rohé Pietro Gori Isabelle Bloch
+	Spatial Relations	2023	Isabelle Bloch Anca Ralescu
+	Model-based inexact graph matching on top of CNNs for semantic scene understanding	2023	Jérémy Chopin Jean-Baptiste Fasquel Harold Mouchère Rozenn Dahyot Isabelle Bloch
+	Learning to diagnose cirrhosis from radiological and histological labels with joint self and weakly-supervised pretraining strategies	2023	Emma Sarfati Alexandre Bône Marc-Michel Rohé Pietro Gori Isabelle Bloch
+	Morpho-logic from a Topos Perspective: Application to symbolic AI	2023	Marc Aiguier Isabelle Bloch Salim Nibouche Ramón Pino Pérez
+	Functional Analysis on Hypergraphs: Density and Zeta Functions	2023	Isabelle Bloch Alain Bretto
+	Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation	2023	Hugo Oliveira Pedro H. T. Gama Isabelle Bloch Roberto M. César
+	Weakly-supervised positional contrastive learning: application to cirrhosis classification	2023	Emma Sarfati Alexandre Bône Marc-Michel Rohé Pietro Gori Isabelle Bloch
+	Non-Redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer	2023	Rebeca Vétil Clément Abi-Nader Alexandre Bône Marie‐Pierre Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch
+	Anatomically constrained CT image translation for heterogeneous blood vessel segmentation	2022	Giammarco La Barbera Haithem Boussaid Francesco Maso Sabine Sarnacki Laurence Rouet Pietro Gori Isabelle Bloch
+ PDF Chat	Is the U-NET Directional-Relationship Aware?	2022	Mateus Riva Pietro Gori Florian Yger Isabelle Bloch
+ PDF Chat	Optimizing transformations for contrastive learning in a differentiable framework	2022	Camille Ruppli Pietro Gori Roberto Ardon Isabelle Bloch
+ PDF Chat	Real‐time Virtual‐Try‐On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers	2022	Robin Kips Runbo Jiang Silèye Ba Brendan Duke Marc de Perrot Pietro Gori Isabelle Bloch
+ PDF Chat	A Deep Residual Learning Implementation of Metamorphosis	2022	Matthis Maillard Anton François Joan Glaunès Isabelle Bloch Pietro Gori
+ PDF Chat	Hair color digitization through imaging and deep inverse graphics	2022	Robin Kips Panagiotis-Alexandros Bokaris Matthieu Perrot Pietro Gori Isabelle Bloch
+ PDF Chat	One Versus all for deep Neural Network Incertitude (OVNNI) quantification	2022	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+	Real-time Virtual-Try-On from a Single Example Image through Deep Inverse Graphics and Learned Differentiable Renderers	2022	Robin Kips Ruowei Jiang Silèye Ba Brendan Duke Matthieu Perrot Pietro Gori Isabelle Bloch
+	Morphological adjunctions represented by matrices in max-plus algebra for signal and image processing	2022	Samy Blusseau Santiago Velasco-Forero Jesús Angulo Isabelle Bloch
+	Morphological Adjunctions Represented by Matrices in Max-Plus Algebra for Signal and Image Processing	2022	Samy Blusseau Santiago Velasco-Forero Jesús Angulo Isabelle Bloch
+ PDF Chat	Optimizing Transformations for Contrastive Learning in a Differentiable Framework	2022	Camille Ruppli Pietro Gori Roberto Ardon Isabelle Bloch
+	Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection	2022	Rebeca Vétil Clément Abi-Nader Alexandre Bône Marie‐Pierre Vullierme Marc-Michel Rohé Pietro Gori Isabelle Bloch
+	Anatomically constrained CT image translation for heterogeneous blood vessel segmentation	2022	Giammarco La Barbera Haithem Boussaid Francesco Maso Sabine Sarnacki Laurence Rouet Pietro Gori Isabelle Bloch
+ PDF Chat	One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification	2021	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+	Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation	2021	Giammarco La Barbera Pietro Gori Haithem Boussaid Bruno Belucci Alessandro Delmonte Jeanne Goulin Sabine Sarnacki Laurence Rouet Isabelle Bloch
+	Template-Based Graph Clustering	2021	Mateus Riva Florian Yger Pietro Gori Roberto M. César Isabelle Bloch
+ PDF Chat	Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example	2021	Robin Kips Ruowei Jiang Silèye Ba Edmund Phung Parham Aarabi Pietro Gori Matthieu Perrot Isabelle Bloch
+ PDF Chat	Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation	2021	Giammarco La Barbera Pietro Gori Haithem Boussaid Bruno Belucci Alessandro Delmonte Jeanne Goulin Sabine Sarnacki Laurence Rouet Isabelle Bloch
+	Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI	2021	Vincent Couteaux Mathilde Trintignac Olivier Nempont Guillaume Pizaine Anna Sesilia Vlachomitrou Pierre‐Jean Valette Laurent Milot Isabelle Bloch
+	Approximation of dilation-based spatial relations to add structural constraints in neural networks	2021	Mateus Riva Pietro Gori Florian Yger Roberto M. César Isabelle Bloch
+	Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation	2021	Giammarco La Barbera Pietro Gori Haithem Boussaid Bruno Belucci Alessandro Delmonte Jeanne Goulin Sabine Sarnacki Laurence Rouet Isabelle Bloch
+	Template-Based Graph Clustering	2021	Mateus Riva Florian Yger Pietro Gori R. Cesar Isabelle Bloch
+	Knowledge distillation from multi-modal to mono-modal segmentation networks	2021	Minhao Hu Matthis Maillard Ya Zhang Tommaso Ciceri Giammarco La Barbera Isabelle Bloch Pietro Gori
+ PDF Chat	Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR	2020	Thibault Marin Yanis Djebra Paul Kyu Han Yanis Chemli Isabelle Bloch Georges El Fakhri Jinsong Ouyang Yoann Petibon Chao Ma
+ PDF Chat	Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach	2020	Valérie Beaudouin Isabelle Bloch David Bounie Stéphan Clémençon Florence d’Alché–Buc James Eagan Winston Maxwell Pavlo Mozharovskyi Jayneel Parekh
+	Investigating Image Applications Based on Spatial-Frequency Transform and Deep Learning Techniques	2020	Qinkai Zheng Han Qiu Gérard Memmi Isabelle Bloch
+	Abstract Mathematical morphology based on structuring element: Application to morpho-logic	2020	Marc Aiguier Isabelle Bloch Ramón Pino Pérez
+ PDF Chat	CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer	2020	Robin Kips Marc de Perrot Pietro Gori Isabelle Bloch
+ PDF Chat	Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations	2020	Antoine Pirovano Hippolyte Heuberger Sylvain Berlemont Saïd Ladjal Isabelle Bloch
+ PDF Chat	Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach	2020	Valérie Beaudouin Isabelle Bloch David Bounie Stéphan Clémençon Florence d’Alché–Buc James Eagan Winston Maxwell Pavlo Mozharovskyi Jayneel Parekh
+ PDF Chat	Template-Based Graph Clustering	2020	Mateus Riva Florian Yger Pietro Gori Roberto M. César Isabelle Bloch
+	Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification	2020	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+	TRADI: Tracking deep neural network weight distributions for uncertainty estimation	2019	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+ PDF Chat	A model to analyze the complexity of calculus knowledge at the beginning of University course	2019	Isabelle Bloch Patrick Gibel
+ PDF Chat	Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks	2019	Yunxiang Zhang Samy Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús Angulo
+	Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks	2019	Yunxiang Zhang Samy Blusseau Santiago Velasco-Forero Isabelle Bloch Jesús A. Angulo
+ PDF Chat	Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders	2019	Bastien Ponchon Santiago Velasco-Forero Samy Blusseau Jesús Angulo Isabelle Bloch
+	Logical Dual Concepts based on Mathematical Morphology in Stratified Institutions	2019	Marc Aiguier Isabelle Bloch
+	Part-based approximations for morphological operators using asymmetric auto-encoders	2019	Bastien Ponchon Santiago Velasco-Forero Samy Blusseau Jesús Angulo Isabelle Bloch
+	TRADI: Tracking deep neural network weight distributions for uncertainty estimation	2019	Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch
+ PDF Chat	Theoretical developments in Mathematics Education: English and French perspectives in contrast.	2018	Barbara Jaworski Stephen Lerman Aline Robert Éric Roditi Isabelle Bloch
+	Tropical and Morphological Operators for Signals on Graphs	2018	Samy Blusseau Santiago Velasco-Forero Jesús Angulo Isabelle Bloch
+	Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction	2018	Marc Aiguier Jamal Atif Isabelle Bloch Ramón Pino Pérez
+ PDF Chat	Segmentation of White Matter Tractograms Using Fuzzy Spatial Relations	2018	Alessandro Delmonte Isabelle Bloch Dominique Hasboun Corentin Mercier Johan Pallud Pietro Gori
+	Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction	2018	Marc Aiguier Jamal Atif Isabelle Bloch Ramón Pino-Pérez
+	Morphologic for knowledge dynamics: revision, fusion, abduction	2018	Isabelle Bloch Jérôme Lang Ramón Pino Pérez Carlos Uzcátegui
+	Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction	2018	Marc Aiguier Jamal Atif Isabelle Bloch Ramón Pino-Pérez
+	Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics	2017	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+ PDF Chat	Classification of MRI data using deep learning and Gaussian process-based model selection	2017	Hadrien Bertrand Matthieu Perrot Roberto Ardon Isabelle Bloch
+	Dual Logic Concepts based on Mathematical Morphology in Stratified Institutions: Applications to Spatial Reasoning	2017	Marc Aiguier Isabelle Bloch
+ PDF Chat	Exploring structure for long-term tracking of multiple objects in sports videos	2016	Henrique Morimitsu Isabelle Bloch Roberto M. César
+ PDF Chat	Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations	2016	Isabelle Bloch Jamal Atif
+ PDF Chat	CONCEPTS, OBJETS, SYMBOLES, ENSEIGNEMENT DES MATHÉMATIQUES… Quelques réflexions sur l'épistémologie et la didactique 1 Isabelle Bloch Professeure émérite -Université de Bordeaux	2015	Isabelle Bloch
+	Relaxation-based revision operators in description logics	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+	A finite basis theorem for the description logic ${\cal ALC}$	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+	Belief Revision, Minimal Change and Relaxation: A General Framework based on Satisfaction Systems, and Applications to Description Logics	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+	Hausdorff Distances Between Distributions Using Optimal Transport and Mathematical Morphology	2015	Isabelle Bloch Jamal Atif
+	Belief Revision, Minimal Change and Relaxation: A General Framework based on Satisfaction Systems, and Applications to Description Logics	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+	Relaxation-based revision operators in description logics	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+	A finite basis theorem for the description logic ${\cal ALC}$	2015	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot
+ PDF Chat	Didactic Situations and Didactical Engineering in university mathematics: cases from the study of Calculus and proof	2014	Alejandro S. González-Martín Isabelle Bloch Viviane Durand-Guerrier Michela Maschietto
+	Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking	2012	Nicolas Widynski Séverine Dubuisson Isabelle Bloch
+	Modeling and measuring the spatial relation “along”: Regions, contours and fuzzy sets	2011	Celina Maki Takemura Roberto M. César Isabelle Bloch
+	Introducing Fuzzy Spatial Constraints in a Ranked Partitioned Sampling for Multi-object Tracking	2010	Nicolas Widynski Séverine Dubuisson Isabelle Bloch
+	ASSESSING THE VARIABILITY OF INTERNAL BRAIN STRUCTURES USING PCA ON SAMPLED SURFACE POINTS	2009	Darwin Martínez Isabelle Bloch José Tiberio Hernández
+ PDF Chat	Segmentation of fetal 3D ultrasound based on statistical prior and deformable model	2008	Jérémie Anquez Elsa D. Angelini Isabelle Bloch
+	Fuzzy skeleton by influence zones—Application to interpolation between fuzzy sets	2008	Isabelle Bloch
+	Fuzzy Sets and Possibility Theory	2008	Isabelle Bloch
+	Probabilities: A Historical Perspective	2008	Isabelle Bloch
+	Belief Function Theory	2008	Isabelle Bloch
+	A New Algorithm for Interactive Structural Image Segmentation	2008	Alexandre Noma Ana Beatriz Vicentim Graciano Luís Augusto Consularo Roberto M. César Isabelle Bloch
+	QUELQUES APPORTS DE LA THEORIE DES SITUATIONS A LA DIDACTIQUE DES MATHEMATIQUES DANS L'ENSEIGNEMENT SECONDAIRE ET SUPERIEUR	2005	Isabelle Bloch
+ PDF Chat	Fuzzy Modeling and Evaluation of the Spatial Relation “Along”	2005	Celina Maki Takemura Roberto M. César Isabelle Bloch
+	Un milieu graphique pour l’apprentissage de la notion de fonction au lycee.	2005	Isabelle Bloch
+	WORKING GROUP 11 Different theoretical perspectives and approaches in research in mathematics education	2005	Michèle Artigue Mariolina Bartolini Bussi Tommy Dreyfus Eddie Gray Susanne Prediger Maria Kaldrimidou Marianna Tzekaki Marianna Bosch Yves Chevallard Josep Gascón
+	Feature Selection Based on Fuzzy Distances Between Clusters: First Results on Simulated Data	2001	Teófilo de Campos Isabelle Bloch Roberto M. César
+	Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter Fascicles	2000	Cyril Poupon Chris A. Clark Vincent Frouin Jean Régis Isabelle Bloch Denis Le Bihan Jean‐François Mangin
+ PDF Chat	Geodesic balls in a fuzzy set and fuzzy geodesic mathematical morphology	2000	Isabelle Bloch
+	L'enseignement de l'analyse à la charnière lycéé/université : savoirs, connaissances et conditions relatives à la validation	2000	Isabelle Bloch
+ PDF Chat	Regularization of MR diffusion tensor maps for tracking brain white matter bundles	1998	Cyril Poupon Jean‐François Mangin Vincent Frouin Jean Régis Fabrice Poupon Mathilde Pachot‐Clouard Denis Le Bihan Isabelle Bloch
+	Fondements des probabilités et des croyances : une discussion des travaux de Cox et Smets	1995	Isabelle Bloch

Common Coauthors

Coauthor	Papers Together
Pietro Gori	25
Marc Aiguier	16
Jamal Atif	12
Roberto M. César	10
Santiago Velasco-Forero	7
Séverine Dubuisson	7
Samy Blusseau	7
Céline Hudelot	7
Gianni Franchi	6
Giammarco La Barbera	6
Emanuel Aldea	6
Andrei Bursuc	6
Mateus Riva	5
Laurence Rouet	5
Haithem Boussaid	5
Robin Kips	5
Jesús Angulo	5
Sabine Sarnacki	5
Alexandre Bône	5
Ramón Pino Pérez	5
Florian Yger	5
Marc-Michel Rohé	5
Alessandro Delmonte	4
Matthieu Perrot	4
Jeanne Goulin	3
Roberto Ardon	3
Bruno Belucci	3
Catherine Pélachaud	3
Emma Sarfati	3
Silèye Ba	3
Nicolas Widynski	2
David Bounie	2
Rebeca Vétil	2
Harold Mouchère	2
Salim Nibouche	2
Jean‐François Mangin	2
James Eagan	2
Pedro H. T. Gama	2
Jean-Baptiste Fasquel	2
Brendan Duke	2
Francesco Maso	2
Celina Maki Takemura	2
Jayneel Parekh	2
Jérémy Chopin	2
Winston Maxwell	2
Marc de Perrot	2
Denis Le Bihan	2
Camille Ruppli	2
Hugo Oliveira	2
Victor Fortier	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+	A Benchmark for Anomaly Segmentation.	2019	Dan Hendrycks Steven Basart Mantas Mazeika Mohammadreza Mostajabi Jacob Steinhardt Dawn Song	4
+	Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics	2017	Marc Aiguier Jamal Atif Isabelle Bloch Céline Hudelot	4
+	A review of fuzzy set aggregation connectives	1985	Didier Dubois Henri Prade	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Evaluating Bayesian Deep Learning Methods for Semantic Segmentation	2018	Jishnu Mukhoti Yarin Gal	3
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	3
+	Measures of similarity among fuzzy concepts: A comparative analysis	1987	Rami Zwick Edward Carlstein David V. Budescu	3
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	3
+ PDF Chat	StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation	2018	Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim Jaegul Choo	3
+ PDF Chat	The Unreasonable Effectiveness of Deep Features as a Perceptual Metric	2018	Richard Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang	3
+	On a metric distance between fuzzy sets	1996	Biplab Chaudhur Azriel Rosenfeld	3
+ PDF Chat	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification	2021	Benoît Dufumier Pietro Gori Julie Victor Antoine Grigis Michèle Wessa Paolo Brambilla Pauline Favre Mircea Polosan Colm McDonald Camille Piguet	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	3
+	Deep Ensembles: A Loss Landscape Perspective	2019	Stanislav Fort Huiyi Hu Balaji Lakshminarayanan	3
+ PDF Chat	Modelling uncertainty in deep learning for camera relocalization	2016	Alex Kendall Roberto Cipolla	2
+	Pruning Filters for Efficient ConvNets	2016	Hao Li Asim Kadav Igor Đurđanović Hanan Samet Hans Peter Graf	2
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	2
+	A Simple Baseline for Bayesian Uncertainty in Deep Learning	2019	Wesley J. Maddox Timur Garipov Pavel Izmailov Dmitry Vetrov Andrew Gordon Wilson	2
+	Weight Uncertainty in Neural Networks	2015	Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra	2
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	2
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	2
+ PDF Chat	Solving Multiclass Learning Problems via Error-Correcting Output Codes	1995	Tom Dietterich Ghulum Bakiri	2
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction	2018	Marc Aiguier Jamal Atif Isabelle Bloch Ramón Pino Pérez	2
+	Morphologic for knowledge dynamics: revision, fusion, abduction	2018	Isabelle Bloch Jérôme Lang Ramón Pino Pérez Carlos Uzcátegui	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+	Metric Learning for Novelty and Anomaly Detection	2018	Marc Masana Idoia Ruiz Joan Serrat Joost van de Weijer Antonio M. López	2
+ PDF Chat	On Nonlocal Mathematical Morphology	2013	Santiago Velasco-Forero Jesús Angulo	2
+	Introduction to Monte Carlo Methods	1998	David Mackay	2
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	2
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	2
+	Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks	2015	Stefan Lee Senthil Purushwalkam Michael Cogswell David Crandall Dhruv Batra	2
+	A Way to Simplify Truth Functions	1955	W. V. Quine	2
+ PDF Chat	Categories for the Working Mathematician	1971	Saunders Mac Lane	2
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	2
+	ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation	2016	Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello	2
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	2
+ PDF Chat	3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes	2016	Qi Dou Hao Chen Yueming Jin Lequan Yu Jing Qin Pheng‐Ann Heng	2
+ PDF Chat	Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues – A tutorial	2017	Paolo Oliveri	2
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	2
+	Dual Logic Concepts based on Mathematical Morphology in Stratified Institutions: Applications to Spatial Reasoning	2017	Marc Aiguier Isabelle Bloch	2
+	Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks	2017	Shiyu Liang Yixuan Li R. Srikant	2
+ PDF Chat	Nonlinear Operators on Graphs via Stacks	2015	Santiago Velasco-Forero Jesús A. Angulo	2
+	On the dual nature of mathematical conceptions: Reflections on processes and objects as different sides of the same coin	1991	Anna Sfard	2
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	2
+	Multidimensional scaling of fuzzy dissimilarity data	2002	Marie-Hélène Masson Thierry Denœux	2