
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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Learnable Triangulation for Deep Learningbased 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
We propose a novel deep reinforcement learningbased approach for 3D obj...
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On Finding Optimal Polytrees
Inferring probabilistic networks from data is a notoriously difficult ta...
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Belief Revision and Rational Inference
The (extended) AGM postulates for belief revision seem to deal with the ...
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An active curve approach for tomographic reconstruction of binary radially symmetric objects
This paper deals with a method of tomographic reconstruction of radially...
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A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence
Many works related to Twitter aim at characterizing its users in some wa...
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COOLL: Controlled On/Off Loads Library, a Public Dataset of HighSampled Electrical Signals for Appliance Identification
This paper gives a brief description of the Controlled On/Off Loads Libr...
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Exact Sampling of Determinantal Point Processes without Eigendecomposition
Determinantal point processes (DPPs) enable the modelling of repulsion: ...
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SelfAssembly of 3D Structures Using 2D Folding Tiles
Selfassembly is a process which is ubiquitous in natural, especially bi...
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How Complex is your classification problem? A survey on measuring classification complexity
Extracting characteristics from the training datasets of classification ...
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Sharp Large Deviations for empirical correlation coefficients
We study Sharp Large Deviations for Pearson's empirical correlation coef...
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Domination and location in twinfree digraphs
A dominating set D in a digraph is a set of vertices such that every ver...
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High precision numerical approach for the DaveyStewartson II equation for Schwartz class initial data
We present an efficient highprecision numerical approach for the Davey...
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Quantifying With Only Positive Training Data
Quantification is the research field that studies the task of counting h...
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Time series classification for predictive maintenance on event logs
Time series classification (TSC) gained a lot of attention in the past d...
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Complementary cycles of any length in regular bipartite tournaments
Let D be a kregular bipartite tournament on n vertices. We show that, f...
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Rice's theorem for generic limit sets of cellular automata
The generic limit set of a cellular automaton is a topologically dened s...
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Convolutional Shapelet Transform: A new approach for time series shapelets
Shapeletbased algorithms are widely used for time series classification...
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Multiobjective Clustering: A Datadriven Analysis of MOCLE, MOCK and ΔMOCK
We present a datadriven analysis of MOCK, ΔMOCK, and MOCLE. These are ...
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A Survey of Evolutionary MultiObjective Clustering Approaches
This article presents how the studies of the evolutionary multiobjectiv...
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Experience Report: Teaching Code Analysis and Verification Using FramaC
Formal methods provide systematic and rigorous techniques for software d...
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