
Irony Detection in a Multilingual Context
This paper proposes the first multilingual (French, English and Arabic) ...
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From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
This paper proposes a tentative and original survey of meeting points be...
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Adequate and fair explanations
Explaining sophisticated machinelearning based systems is an important ...
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Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
The class distribution of data is one of the factors that regulates the ...
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Modeling ContrarytoDuty with CPnets
In a ceterisparibus semantics for deontic logic, a state of affairs whe...
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Learning event representations in image sequences by dynamic graph embedding
Recently, selfsupervised learning has proved to be effective to learn r...
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Relaxing Exclusive Control in Boolean Games
In the typical framework for boolean games (BG) each player can change t...
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Variational Reflectance Estimation from Multiview Images
We tackle the problem of reflectance estimation from a set of multiview...
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On Singleton Arc Consistency for Natural CSPs Defined by Forbidden Patterns
Singleton arc consistency is an important type of local consistency whic...
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Joint Dynamic MRI Reconstruction and Aggregated Motion Estimation with Optical Flow Constraint
This paper proposes a novel framework to jointly reconstruct the dynamic...
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LEDbased Photometric Stereo: Modeling, Calibration and Numerical Solution
We conduct a thorough study of photometric stereo under nearby point lig...
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Temporal Logic Programs with Variables
In this note we consider the problem of introducing variables in tempora...
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Towards a SelfOrganized AgentBased Simulation Model for Exploration of Human Synaptic Connections
In this paper, the early design of our selforganized agentbased simula...
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Optimal spectral transportation with application to music transcription
Many spectral unmixing methods rely on the nonnegative decomposition of...
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Hybridization of Interval CP and Evolutionary Algorithms for Optimizing Difficult Problems
The only rigorous approaches for achieving a numerical proof of optimali...
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Variable and value elimination in binary constraint satisfaction via forbidden patterns
Variable or value elimination in a constraint satisfaction problem (CSP)...
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On Backdoors To Tractable Constraint Languages
In the context of CSPs, a strong backdoor is a subset of variables such ...
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Arguments using ontological and causal knowledge
We investigate an approach to reasoning about causes through argumentati...
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Reconstruction of Enhanced Ultrasound Images From Compressed Measurements Using Simultaneous Direction Method of Multipliers
High resolution ultrasound image reconstruction from a reduced number of...
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Predictive Interval Models for Nonparametric Regression
Having a regression model, we are interested in finding twosided interv...
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A Dichotomy for 2Constraint Forbidden CSP Patterns
Although the CSP (constraint satisfaction problem) is NPcomplete, even ...
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Interactive multiclass segmentation using superpixel classification
This paper adresses the problem of interactive multiclass segmentation. ...
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The tractability of CSP classes defined by forbidden patterns
The constraint satisfaction problem (CSP) is a general problem central t...
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Compressive Deconvolution in Medical Ultrasound Imaging
The interest of compressive sampling in ultrasound imaging has been rece...
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Ontologybased inference for causal explanation
We define an inference system to capture explanations based on causal st...
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Tag Clouds for Displaying Semantics: The Case of Filmscripts
We relate tag clouds to other forms of visualization, including planar o...
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Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model based on Generalized Gaussian Priors
This paper proposes a joint segmentation and deconvolution Bayesian meth...
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Revising Partially Ordered Beliefs
This paper deals with the revision of partially ordered beliefs. It prop...
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"Minimal defence": a refinement of the preferred semantics for argumentation frameworks
Dung's abstract framework for argumentation enables a study of the inter...
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DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents
The stateoftheart solutions to the vocabulary mismatch in information...
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Toward a Deep Neural Approach for KnowledgeBased IR
This paper tackles the problem of the semantic gap between a document an...
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Everything You Always Wanted to Know About TREC RTS* (*But Were Afraid to Ask)
The TREC RealTime Summarization (RTS) track provides a framework for ev...
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Expressing and verifying embedded software requirements
Writing requirements for embedded software is pointless unless they refl...
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An Existence Theorem of Nash Equilibrium in Coq and Isabelle
Nash equilibrium (NE) is a central concept in game theory. Here we prove...
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Cognitive Hierarchy and Voting Manipulation
By the GibbardSatterthwaite theorem, every reasonable voting rule for ...
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Bisimulations for intuitionistic temporal logics
We introduce bisimulations for the logic ITL^e with `next', `until' and ...
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Splitandaugmented Gibbs sampler  Application to largescale inference problems
Recently, a new class of Markov chain Monte Carlo (MCMC) algorithms took...
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Characterizing Asynchronous MessagePassing Models Through Rounds
Messagepassing models of distributed computing vary along numerous dime...
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LockFree Search Data Structures: Throughput Modelling with Poisson Processes
This paper considers the modelling and the analysis of the performance o...
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Evolving simple programs for playing Atari games
Cartesian Genetic Programming (CGP) has previously shown capabilities in...
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Bias in Semantic and Discourse Interpretation
In this paper, we show how gametheoretic work on conversation combined ...
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Densely Connected CNNs for Bird Audio Detection
Detecting bird sounds in audio recordings automatically, if accurate eno...
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Evolving Differentiable Gene Regulatory Networks
Over the past twenty years, artificial Gene Regulatory Networks (GRNs) h...
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Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis has proven to be a relevant tool for extracting tissue t...
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Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages
Modern information systems are changing the idea of "data processing" to...
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slimIoT: Scalable Lightweight Attestation Protocol For the Internet of Things
The Internet of Things (IoT) is increasingly intertwined with critical i...
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WISE: Lightweight Intelligent Swarm Attestation Scheme for IoT (The Verifier's Perspective)
The growing pervasiveness of Internet of Things (IoT) expands the attack...
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Neuromodulated Learning in Deep Neural Networks
In the brain, learning signals change over time and synaptic location, a...
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Speed Based Optimal Power Control in Small Cell Networks
Small cell networks promise good quality of service (QoS) even for cell ...
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Cosinesimilarity penalty to discriminate sound classes in weaklysupervised sound event detection
The design of new methods and models when only weaklylabeled data are a...
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IRIT
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