
Sparsity in Reservoir Computing Neural Networks
Reservoir Computing (RC) is a wellknown strategy for designing Recurren...
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GraphGenRedux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
The problem of labeled graph generation is gaining attention in the Deep...
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TEACHING – Trustworthy autonomous cyberphysical applications through humancentred intelligence
This paper discusses the perspective of the H2020 TEACHING project on th...
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Probabilistic Graphical Modeling approach to dynamic PET direct parametric map estimation and image reconstruction
In the context of dynamic emission tomography, the conventional processi...
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Ring Reservoir Neural Networks for Graphs
Machine Learning for graphs is nowadays a research topic of consolidated...
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Deep Echo State Network (DeepESN): A Brief Survey
The study of deep recurrent neural networks (RNNs) and, in particular, o...
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Human Perception of Performance
Humans are routinely asked to evaluate the performance of other individu...
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Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data
The paper introduces the Hidden Tree Markov Network (HTN), a neuroproba...
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DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout
The paper presents a novel, principled approach to train recurrent neura...
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An automatic deep learning approach for coronary artery calcium segmentation
Coronary artery calcium (CAC) is a significant marker of atherosclerosis...
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Stigmergybased modeling to discover urban activity patterns from positioning data
Positioning data offer a remarkable source of information to analyze cro...
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Hierarchical Temporal Representation in Linear Reservoir Computing
Recently, studies on deep Reservoir Computing (RC) highlighted the role ...
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Quantifying the relation between performance and success in soccer
The availability of massive data about sports activities offers nowadays...
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Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Several studies on sentence processing suggest that the mental lexicon k...
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Exploiting Binary FloatingPoint Representations for Constraint Propagation: The Complete Unabridged Version
Floatingpoint computations are quickly finding their way in the design ...
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Soft Constraint Logic Programming for Electric Vehicle Travel Optimization
Soft Constraint Logic Programming is a natural and flexible declarative ...
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The CIFF Proof Procedure for Abductive Logic Programming with Constraints: Theory, Implementation and Experiments
We present the CIFF proof procedure for abductive logic programming with...
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Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?
Despite the number of NLP studies dedicated to thematic fit estimation, ...
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Voronoi GridShell Structures
We introduce a framework for the generation of gridshell structures tha...
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Question Dependent Recurrent Entity Network for Question Answering
Question Answering is a task which requires building models capable of p...
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Measuring Thematic Fit with Distributional Feature Overlap
In this paper, we introduce a new distributional method for modeling pre...
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Testing APSyn against Vector Cosine on Similarity Estimation
In Distributional Semantic Models (DSMs), Vector Cosine is widely used t...
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Coalgebraic Behavioral Metrics
We study different behavioral metrics, such as those arising from both b...
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A topological interpretation of three Leibnizian principles within the functional extensions
Three philosophical principles are often quoted in connection with Leibn...
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Cops and robber on grids and tori
This paper is a contribution to the classical cops and robber problem on...
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At the Roots of Dictionary Compression: String Attractors
A wellknown fact in the field of lossless text compression is that high...
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PlayeRank: Multidimensional and roleaware rating of soccer player performance
The problem of rating the performance of soccer players is attracting th...
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Prediction of next career moves from scientific profiles
Changing institution is a scientist's key career decision, which plays a...
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Algorithmic bias amplifies opinion polarization: A bounded confidence model
The flow of information reaching us via the online media platforms is op...
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Listing Maximal Subgraphs in Strongly Accessible Set Systems
Algorithms for listing the subgraphs satisfying a given property (e.g.,b...
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Lossless Analog Compression
We establish the fundamental limits of lossless analog compression by co...
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Kinetic Compressive Sensing
Parametric images provide insight into the spatial distribution of physi...
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Imagebased deep learning for classification of noise transients in gravitational wave detectors
The detection of gravitational waves has inaugurated the era of gravitat...
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Universal Compressed Text Indexing
The rise of repetitive datasets has lately generated a lot of interest i...
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A MixedLogicalDynamical model for Automated Driving on highways
We propose a hybrid decisionmaking framework for safe and efficient aut...
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On the convergence of discretetime linear systems: A linear timevarying Mann iteration converges iff the operator is strictly pseudocontractive
We adopt an operatortheoretic perspective to study convergence of linea...
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SWAT: A System for Detecting Salient Wikipedia Entities in Texts
We study the problem of entity salience by proposing the design and impl...
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A stigmergybased analysis of city hotspots to discover trends and anomalies in urban transportation usage
A key aspect of a sustainable urban transportation system is the effecti...
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Sound upto techniques and Complete abstract domains
Abstract interpretation is a method to automatically find invariants of ...
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VariableByte Encoding is Now SpaceEfficient Too
The ubiquitous VariableByte encoding is considered one of the fastest c...
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Detecting Mutations by eBWT
In this paper we develop a theory describing how the extended BurrowsWh...
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RoundHashing for Data Storage: Distributed Servers and ExternalMemory Tables
This paper proposes roundhashing, which is suitable for data storage on...
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WISER: A Semantic Approach for Expert Finding in Academia based on Entity Linking
We present WISER, a new semantic search engine for expert finding in aca...
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Concentric ESN: Assessing the Effect of Modularity in Cycle Reservoirs
The paper introduces concentric Echo State Network, an approach to desig...
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Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
We introduce the Contextual Graph Markov Model, an approach combining id...
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Local RuleBased Explanations of Black Box Decision Systems
The recent years have witnessed the rise of accurate but obscure decisio...
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Learning Tree Distributions by Hidden Markov Models
Hidden tree Markov models allow learning distributions for tree structur...
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Handling Massive NGram Datasets Efficiently
This paper deals with the two fundamental problems concerning the handli...
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Open the Black Box DataDriven Explanation of Black Box Decision Systems
Black box systems for automated decision making, often based on machine ...
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The complexity of disjunctive linear Diophantine constraints
We study the Constraint Satisfaction Problem CSP(A), where A is firstor...
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The University of Pisa, formally established in 1343, is one of the oldest universities in the world and it has been extraordinarily successful in updating its structures and human resources in order to meet the new challenges of international research and education at the highest level. It has an excellent international reputation in all areas, not only in natural sciences but also for example in humanities, social sciences, medicine, engineering, agricultural and other applied sciences. It leads important international research and education networks, and incorporates their findings into its programmes. The University of Pisa is committed to promoting quality in all areas of research and teaching, and to making all its programmes available to an increasing number of international students and researchers.