
SGPDT: Semantic Genetic Programming Based on Dynamic Targets
Semantic GP is a promising approach that introduces semantic awareness d...
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Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Generative models for 3D geometric data arise in many important applicat...
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ncRNA Classification with Graph Convolutional Networks
Noncoding RNA (ncRNA) are RNA sequences which don't code for a gene but...
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Input representation in recurrent neural networks dynamics
Reservoir computing is a popular approach to design recurrent neural net...
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Deep Learning for Time Series Forecasting: The Electric Load Case
Management and efficient operations in critical infrastructure such as S...
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Asking Clarifying Questions in OpenDomain InformationSeeking Conversations
Users often fail to formulate their complex information needs in a singl...
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Graph Neural Networks for IceCube Signal Classification
Tasks involving the analysis of geometric (graph and manifoldstructure...
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Descriptor learning for omnidirectional image matching
Feature matching in omnidirectional vision systems is a challenging prob...
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Multimodal similaritypreserving hashing
We introduce an efficient computational framework for hashing data belon...
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Concept Drift and Anomaly Detection in Graph Streams
Graph representations offer powerful and intuitive ways to describe data...
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UC Merced Submission to the ActivityNet Challenge 2016
This notebook paper describes our system for the untrimmed classificatio...
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Multimodal diffusion geometry by joint diagonalization of Laplacians
We construct an extension of diffusion geometry to multiple modalities t...
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Matrix Completion on Graphs
The problem of finding the missing values of a matrix given a few of its...
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Kernel diffhash
This paper presents a kernel formulation of the recently introduced diff...
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Robust Principal Component Analysis on Graphs
Principal Component Analysis (PCA) is the most widely used tool for line...
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Multimodal diffhash
Many applications require comparing multimodal data with different struc...
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SHREC 2011: robust feature detection and description benchmark
Featurebased approaches have recently become very popular in computer v...
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A correspondenceless approach to matching of deformable shapes
Finding a match between partially available deformable shapes is a chall...
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Diffusion framework for geometric and photometric data fusion in nonrigid shape analysis
In this paper, we explore the use of the diffusion geometry framework fo...
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Affineinvariant geodesic geometry of deformable 3D shapes
Natural objects can be subject to various transformations yet still pres...
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Subspace Least Squares Multidimensional Scaling
Multidimensional Scaling (MDS) is one of the most popular methods for di...
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Extremescale Multigrid Components within PETSc
Elliptic partial differential equations (PDEs) frequently arise in conti...
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ParallelinSpaceandTime Simulation of the ThreeDimensional, Unsteady NavierStokes Equations for Incompressible Flow
In this paper we combine the Parareal parallelintime method together w...
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Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs
We tackle the problem of classifying Electrocardiography (ECG) signals w...
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Dynamic Graph CNN for Learning on Point Clouds
Point clouds provide a flexible and scalable geometric representation su...
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Deletion in abstract Voronoi diagrams in expected linear time
Updating an abstract Voronoi diagram in linear time, after deletion of o...
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Venue Suggestion Using SocialCentric Scores
User modeling is a very important task for making relevant suggestions o...
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Bayesian Calibration of Forcefields from Experimental Data: TIP4P Water
Molecular dynamics (MD) simulations give access to equilibrium and/or dy...
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Anomaly and Change Detection in Graph Streams through ConstantCurvature Manifold Embeddings
Mapping complex input data into suitable lower dimensional manifolds is ...
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Learning Graph Embeddings on ConstantCurvature Manifolds for Change Detection in Graph Streams
The space of graphs is characterized by a nontrivial geometry, which of...
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Change Point Methods on a Sequence of Graphs
The present paper considers a finite sequence of graphs, e.g., coming fr...
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Personalized ContextAware Point of Interest Recommendation
Personalized recommendation of Points of Interest (POIs) plays a key rol...
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It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems
While several approaches to face emotion recognition task are proposed i...
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A Collaborative Ranking Model with Multiple Locationbased Similarities for Venue Suggestion
Recommending venues plays a critical rule in satisfying users' needs on ...
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Whisper: Fast Flooding for LowPower Wireless Networks
This paper presents Whisper, a fast and reliable protocol to flood small...
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Marginal models with individualspecific effects for the analysis of longitudinal bipartite networks
A new modeling framework for bipartite social networks arising from a se...
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Automatic Repair of Real Bugs in Java: A LargeScale Experiment on the Defects4J Dataset
Defects4J is a large, peerreviewed, structured dataset of realworld Ja...
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Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
We propose NOPOL, an approach to automatic repair of buggy conditional s...
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Adversarial Autoencoders with ConstantCurvature Latent Manifolds
Constantcurvature Riemannian manifolds (CCMs) have been shown to be ide...
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Understanding Mobile Search Task Relevance and User Behaviour in Context
Improvements in mobile technologies have led to a dramatic change in how...
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An Empirical Study on Learning BugFixing Patches in the Wild via Neural Machine Translation
Millions of opensource projects with numerous bug fixes are available i...
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Learning How to Mutate Source Code from BugFixes
Mutation testing has been widely accepted as an approach to guide test c...
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A Simple Algorithm for Scalable Monte Carlo Inference
Statistical inference involves estimation of parameters of a model based...
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The RGB NoSignalling Game
Introducing the simplest of all NoSignalling Games: the RGB Game where ...
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On Learning Meaningful Code Changes via Neural Machine Translation
Recent years have seen the rise of Deep Learning (DL) techniques applied...
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Proving Erasure
It seems impossible to certify that a remote hosting service does not le...
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Autoregressive Models for Sequences of Graphs
This paper proposes an autoregressive (AR) model for sequences of graphs...
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A study of dependency features of spike trains through copulas
Simultaneous recordings from many neurons hide important information and...
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On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity
The recently proposed Renaissance suite is composed of modern, realworl...
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Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events
We assess the reliability of relational event model parameters estimated...
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USI Università della Svizzera italiana
The Università della Svizzera italiana, sometimes referred to as the University of Lugano, in Englishspeaking contexts, is a public Swiss university established in 1995, with campuses in Lugano, Mendrisio and Bellinzona.