Articles - Computer Science
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Improving Time-aware Recommendations in Open Source Packages
(2019)Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have implemented them, but typically the top-N ... -
Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization
(2019)The search for unfamiliar experiences and novelty is one of the main drivers behind all human activities, equally important with harm avoidance and reward dependence. A recommender system personalizes suggestions to ... -
Personalised Novel and Explainable Matrix Factorization
(2019)Recommendation systems personalise suggestions to individuals to help them in their decision making and exploration tasks. In the ideal case, these recommendations, besides of being accurate, should also be novel and ... -
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially
(2019)Center-based clustering is a fundamental primitive for data analysis and becomes very challenging for large datasets. In this paper, we focus on the popular k-center variant which, given a set S of points from some metric ... -
OCL_FO: first-order expressive OCL constraints for efficient integrity checking
(2019)OCL is the standard language for defining constraints in UML class diagrams. Unfortunately, as we show in this paper, full OCL is so expressive that it is not possible to check general OCL constraints efficiently. In ... -
Automatic Identification and Classification of Software Development Video Tutorial Fragments
(2019)Software development video tutorials have seen a steep increase in popularity in recent years. Their main advantage is that they thoroughly illustrate how certain technologies, programming languages, etc. are to be used. ... -
Co-designing wearable devices for sports: The case study of sport climbing
(2019)This paper presents the co-design process of a wearable device for rock climbing, an extreme sport that requires high physical, emotional, and cognitive involvement. From the preliminary investigation of climbers’ needs, ... -
La progettazione partecipata come pratica e politica per costruire ambienti tecnologicamente densi
(2014)L'articolo riassume le basi intellettuali del lavoro svolto collettivamente dagli autori presso il Dipartimento di Ingegneria e Scienza dell'Informazione dell'Università di Trento per rispondere a una delle domande poste ... -
Correction: Algorithmic modeling quantifies the complementary contribution of metabolic inhibitions to gemcitabine efficacy (PLoS ONE)
(Public Library of Science, 2013) -
Biological network inference for drug discovery
(2013)A better understanding of the pathophysiology should help deliver drugs whose targets are involved in the causative processes underlying a disease. Biological network inference uses computational methods for deducing from ... -
Beth Definability in Expressive Description Logics
(2013)The Beth definability property, a well-known property from classical logic, is investigated in the context of description logics: if a general L-TBox implicitly defines an L-concept in terms of a given signature, where L ... -
Exact Query Reformulation over Databases with First-order and Description Logics Ontologies
(2013)We study a general framework for query rewriting in the presence of an arbitrary first-order logic ontology over a database signature. The framework supports deciding the existence of a safe-range first-order equivalent ... -
Image Schema Combinations and Complex Events
(2019)Formal knowledge representation struggles to represent the dynamic changes within complex events in a cognitively plausible way. Image schemas, on the other hand, are spatiotemporal relationships used in cognitive science ... -
Stochastic chemical kinetics: A review of the modelling and simulation approaches
(Springer Verlag, 2013)A review of the physical principles that are the ground of the stochastic formulation of chemical kinetics is presented along with a survey of the algorithms currently used to simulate it. This review covers the main ... -
An integrative network inference approach to predict mechanisms of cancer chemoresistance
(2013)We present an integrative general network inference methodology to infer genetic and metabolic pathways associated with oncological drug chemoresistance. This methodology is general because it can infer different kinds of ... -
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks
(2013)A general numerical methodology for parametric sensitivity analysis is proposed, which allows to determine the parameters exerting the greatest influence on the output of a stochastic computational model, especially when ... -
Mining system logs to learn error predictors: A case study of a telemetry system
(2015)Predicting system failures can be of great benefit to managers that get a better command over system performance. Data that systems generate in the form of logs is a valuable source of information to predict system ... -
Exact Learning of Lightweight Description Logic Ontologies
(2018)We study the problem of learning description logic (DL) ontologies in Angluin et al.’s framework of exact learning via queries. We admit membership queries (“is a given subsumption entailed by the target ontology?”) and ... -
From TurnTalk to ClassTalk: the emergence of tangibles for class conversations in primary school classrooms
(2019)Primary school curricula teach children conversation norms for promoting positive social interactions, such as turn-taking and turn reserving, while curricula discourage other aspects of conversations, such as overlapping ... -
Special section on generative smart tourism systems and management: Man–machine interaction
(Elsevier Ltd, 2016)
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