
Robotic Arm Control and Task Training through Deep Reinforcement Learning
This paper proposes a detailed and extensive comparison of the Trust Reg...
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Knowledge Distillation for Incremental Learning in Semantic Segmentation
Although deep learning architectures have shown remarkable results in sc...
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Adversarial Learning and SelfTeaching Techniques for Domain Adaptation in Semantic Segmentation
Deep learning techniques have been widely used in autonomous driving sys...
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Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study
Dimensionality reduction is a important step in the development of scala...
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Analytic heuristics for a fast DSCMRI
In this paper we propose a deterministic approach for the reconstruction...
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Machine Learning for Intelligent Authentication in 5GandBeyond Wireless Networks
The fifth generation (5G) and beyond wireless networks are critical to s...
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Social and SceneAware Trajectory Prediction in Crowded Spaces
Mimicking human ability to forecast future positions or interpret comple...
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ACVRNN: Attentive ConditionalVRNN for MultiFuture Trajectory Prediction
Anticipating human motion in crowded scenarios is essential for developi...
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Environment and Person Independent Activity Recognition with a Commodity IEEE 802.11ac Access Point
Here, we propose an original approach for human activity recognition (HA...
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On the difficulty of learning and predicting the longterm dynamics of bouncing objects
The ability to accurately predict the surrounding environment is a found...
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Exploiting Scenespecific Features for Object Goal Navigation
Can the intrinsic relation between an object and the room in which it is...
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LSTM Networks for DataAware Remaining Time Prediction of Business Process Instances
Predicting the completion time of business process instances would be a ...
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Realtime markerless multiperson 3D pose estimation in RGBDepth camera networks
This paper proposes a novel system to estimate and track the 3D poses of...
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The Generalized Cross Validation Filter
Generalized cross validation (GCV) is one of the most important approach...
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Boolean kernels for collaborative filtering in topN item recommendation
In many personalized recommendation problems available data consists onl...
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The interplay between system identification and machine learning
Learning from examples is one of the key problems in science and enginee...
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A new kernelbased approach to system identification with quantized output data
In this paper we introduce a novel method for linear system identificati...
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Graph Kernels exploiting WeisfeilerLehman Graph Isomorphism Test Extensions
In this paper we present a novel graph kernel framework inspired the by ...
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Bayesian Learning of Dynamic Multilayer Networks
A plethora of networks is being collected in a growing number of fields,...
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Logical Conditional Preference Theories
CPnets represent the dominant existing framework for expressing qualita...
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Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
Regularization and Bayesian methods for system identification have been ...
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DASH: Dynamic Approach for Switching Heuristics
Complete tree search is a highly effective method for tackling MIP probl...
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Maximum Entropy Vector Kernels for MIMO system identification
Recent contributions have framed linear system identification as a nonpa...
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IDNet: Smartphonebased Gait Recognition with Convolutional Neural Networks
Here, we present IDNet, a user authentication framework from smartphone...
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Locally Adaptive Dynamic Networks
Our focus is on realistically modeling and forecasting dynamic networks ...
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Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
In collective decision making, where a voting rule is used to take a col...
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Bayesian kernelbased system identification with quantized output data
In this paper we introduce a novel method for linear system identificati...
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A Bayesian Approach to Sparse plus Low rank Network Identification
We consider the problem of modeling multivariate time series with parsim...
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Robust EM kernelbased methods for linear system identification
Recent developments in system identification have brought attention to r...
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Elimination of Spurious Ambiguity in TransitionBased Dependency Parsing
We present a novel technique to remove spurious ambiguity from transitio...
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Uncertainty in Soft Temporal Constraint Problems:A General Framework and Controllability Algorithms forThe Fuzzy Case
In reallife temporal scenarios, uncertainty and preferences are often e...
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Outlier robust system identification: a Bayesian kernelbased approach
In this paper, we propose an outlierrobust regularized kernelbased met...
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Nonparametric Bayes dynamic modeling of relational data
Symmetric binary matrices representing relations among entities are comm...
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IDLExpressions: A Formalism for Representing and Parsing Finite Languages in Natural Language Processing
We propose a formalism for representation of finite languages, referred ...
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Generalized system identification with stable spline kernels
Regularized leastsquares approaches have been successfully applied to l...
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Robust and Trend Following Student's t Kalman Smoothers
We present a Kalman smoothing framework based on modeling errors using t...
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Linear system identification using stable spline kernels and PLQ penalties
The classical approach to linear system identification is given by param...
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Optimization viewpoint on Kalman smoothing, with applications to robust and sparse estimation
In this paper, we present the optimization formulation of the Kalman fil...
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Convex vs nonconvex approaches for sparse estimation: GLasso, Multiple Kernel Learning and Hyperparameter GLasso
The popular Lasso approach for sparse estimation can be derived via marg...
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The connection between Bayesian estimation of a Gaussian random field and RKHS
Reconstruction of a function from noisy data is often formulated as a re...
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Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth LogConcave Densities: Modeling, Computation, and Theory
We introduce a class of quadratic support (QS) functions, many of which ...
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Elicitation strategies for fuzzy constraint problems with missing preferences: algorithms and experimental studies
Fuzzy constraints are a popular approach to handle preferences and over...
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Dealing with incomplete agents' preferences and an uncertain agenda in group decision making via sequential majority voting
We consider multiagent systems where agents' preferences are aggregated...
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Manipulation and gender neutrality in stable marriage procedures
The stable marriage problem is a wellknown problem of matching men to w...
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Reasoning about soft constraints and conditional preferences: complexity results and approximation techniques
Many real life optimization problems contain both hard and soft constrai...
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Locally adaptive factor processes for multivariate time series
In modeling multivariate time series, it is important to allow timevary...
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Visual Representations: Defining Properties and Deep Approximations
Visual representations are defined in terms of minimal sufficient statis...
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Structure Variability in Bayesian Networks
The structure of a Bayesian network encodes most of the information abou...
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A study on textscore disagreement in online reviews
In this paper, we focus on online reviews and employ artificial intellig...
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On the Complexity of CCG Parsing
We study the parsing complexity of Combinatory Categorial Grammar (CCG) ...
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Università di Padova
The University of Padova (Universit degli Studi di Padova) is one of the oldest universities in Italy and in Europe, its year of foundation being generally given as 1222. The modernday University of Padova plays an important role in scholarly and scientific research at both a European and world level.