Jamal Atif

Orcid: 0000-0001-9618-5684

According to our database1, Jamal Atif authored at least 96 papers between 2004 and 2023.

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Bibliography

2023
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.
CoRR, 2023

FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation.
Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2023

Online Certification of Preference-Based Fairness for Personalized Recommender Systems (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
On the robustness of randomized classifiers to adversarial examples.
Mach. Learn., 2022

Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis.
CoRR, 2022

Towards Consistency in Adversarial Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Certification of Preference-Based Fairness for Personalized Recommender Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Non parametric estimation of causal populations in a counterfactual scenario.
CoRR, 2021

Two-sided fairness in rankings via Lorenz dominance.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Selection of Diverse Committees.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Mixed Nash Equilibria in the Adversarial Examples Game.
Proceedings of the 38th International Conference on Machine Learning, 2021

Equitable and Optimal Transport with Multiple Agents.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning.
CoRR, 2020

Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization.
CoRR, 2020

Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation.
CoRR, 2020

Estimating Individual Treatment Effects through Causal Populations Identification.
CoRR, 2020

Trade Selection with Supervised Learning and Optimal Coordinate Ascent (OCA).
Proceedings of the Mining Data for Financial Applications - 5th ECML PKDD Workshop, 2020

Deep Reinforcement Learning (DRL) for Portfolio Allocation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Randomization matters How to defend against strong adversarial attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Estimating Individual Treatment Effects through Causal Populations Identification.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Understanding and Training Deep Diagonal Circulant Neural Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies.
CoRR, 2019

A unified view on differential privacy and robustness to adversarial examples.
CoRR, 2019

NGO-GM: Natural Gradient Optimization for Graphical Models.
CoRR, 2019

Robust Neural Networks using Randomized Adversarial Training.
CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.
CoRR, 2019

On the Expressive Power of Deep Fully Circulant Neural Networks.
CoRR, 2019

Theoretical evidence for adversarial robustness through randomization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Explanatory relations in arbitrary logics based on satisfaction systems, cutting and retraction.
Int. J. Approx. Reason., 2018

A discrete version of CMA-ES.
CoRR, 2018

A new approach to learning in Dynamic Bayesian Networks (DBNs).
CoRR, 2018

On the Needs for Rotations in Hypercubic Quantization Hashing.
CoRR, 2018

Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics.
Artif. Intell., 2018

Graph-based Clustering under Differential Privacy.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Graph sketching-based Space-efficient Data Clustering.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Uplift Modeling from Separate Labels.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Musical Descriptions Based on Formal Concept Analysis and Mathematical Morphology.
Proceedings of the Graph-Based Representation and Reasoning, 2018

Streaming Binary Sketching Based on Subspace Tracking and Diagonal Uniformization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Training Compact Deep Learning Models for Video Classification Using Circulant Matrices.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Computing Contrast on Conceptual Spaces.
Proceedings of the 6th International Workshop on Artificial Intelligence and Cognition, 2018

2017
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.
Signal Process., 2017

Raisonnement abductif en logique de description exploitant les domaines concrets spatiaux pour l'interprétation d'images.
Rev. d'Intelligence Artif., 2017

Graph sketching-based Massive Data Clustering.
CoRR, 2017

Similarity and Contrast on Conceptual Spaces for Pertinent Description Generation.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Semi-automatic teeth segmentation in Cone-Beam Computed Tomography by graph-cut with statistical shape priors.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Online Learning of Acyclic Conditional Preference Networks from Noisy Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Structured adaptive and random spinners for fast machine learning computations.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations.
Math. Morphol. Theory Appl., 2016

Some Relationships Between Fuzzy Sets, Mathematical Morphology, Rough Sets, F-Transforms, and Formal Concept Analysis.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

TripleSpin - a generic compact paradigm for fast machine learning computations.
CoRR, 2016

Efficient Semantic Tableau Generation for Abduction in Propositional Logic.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Deux approches pour la comparaison de relations spatiales floues. Transport optimal et morphologie mathématique.
Rev. d'Intelligence Artif., 2015

Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases.
CoRR, 2015

Relaxation-based revision operators in description logics.
CoRR, 2015

Belief revision in Institutions : A relaxation based approach.
CoRR, 2015

Abductive Reasoning Using Tableau Methods for High-Level Image Interpretation.
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Hausdorff Distances Between Distributions Using Optimal Transport and Mathematical Morphology.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Fuzzy "Along" Spatial Relation in 3D. Application to Anatomical Structures in Maxillofacial CBCT.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
Explanatory Reasoning for Image Understanding Using Formal Concept Analysis and Description Logics.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Concept Dissimilarity with Triangle Inequality.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Subspace metrics for multivariate dictionaries and application to EEG.
Proceedings of the IEEE International Conference on Acoustics, 2014

On the need for metrics in dictionary learning assessment.
Proceedings of the 22nd European Signal Processing Conference, 2014

ALC(𝔽): A New Description Logic for Spatial Reasoning in Images.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Concept Dissimilarity Based on Tree Edit Distances and Morphological Dilations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
A constraint propagation approach to structural model based image segmentation and recognition.
Inf. Sci., 2013

Metrics for Multivariate Dictionaries
CoRR, 2013

Mathematical Morphology Operators over Concept Lattices.
Proceedings of the Formal Concept Analysis, 2013

Multi-dimensional sparse structured signal approximation using split bregman iterations.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distance to bipolar information from morphological dilation.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

A fuzzy extension of explanatory relations based on mathematical morphology.
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

2012
Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations.
Comput. Vis. Image Underst., 2012

2011
Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation.
Proceedings of The Eighth International Conference on Concept Lattices and Their Applications, 2011

2010
Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning.
Proceedings of the ECAI 2010, 2010

2009
A New Fuzzy Connectivity Measure for Fuzzy Sets.
J. Math. Imaging Vis., 2009

3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models.
Fuzzy Sets Syst., 2009

Copula-set measures on topographic maps for change detection.
Proceedings of the International Conference on Image Processing, 2009

2008
FSRO : une ontologie de relations spatiales floues pour l'interprétation d'images.
Proceedings of the Les Relations Spatiales : de la modélisation à la mise en oeuvre, 2008

Fuzzy spatial relation ontology for image interpretation.
Fuzzy Sets Syst., 2008

Integrated multimedia electronic patient record and graph-based image information for cerebral tumors.
Comput. Biol. Medicine, 2008

Structure segmentation and recognition in images guided by structural constraint propagation.
Proceedings of the ECAI 2008, 2008

Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs.
Proceedings of the ECAI 2008, 2008

A New Fuzzy Connectivity Class Application to Structural Recognition in Images.
Proceedings of the Discrete Geometry for Computer Imagery, 2008

2007
Kernel Fusion for Image Classification Using Fuzzy Structural Information.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Adaptive Segmentation of Internal Brain Structures in Pathological Mr Images Depending on Tumor Types.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Detection of Glioma Evolution on Longitudinal Mri Studies.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Combining Radiometric and Spatial Structural Information in a New Metric for Minimal Surface Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2007

From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations.
Proceedings of the IJCAI 2007, 2007

Local Reasoning in Fuzzy Attribute Graphs for Optimizing Sequential Segmentation.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Image Classification Using Marginalized Kernels for Graphs.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2005
3D Brain Tumor Segmentation Using Fuzzy Classification and Deformable Models.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Classification of radiological exams and organs by belief theory.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

2004
Percutaneous nephrolithotomies improvement using a new augmented reality system integrated into operating rooms.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

Integration of short-distance radiological images, angiography and multimodal image fusion in a stereotaxic software environment for biopsy intervention.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004


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