Publications

(2020). User-driven Error Detection for Time Series with Events. 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020.
(2020). USAD : UnSupervised Anomaly Detection on Multivariate Time Series. KDD2020 - The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
(2020). Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellum of the Tc1 mouse model of Down Syndrome--a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage.
(2020). Simulator Calibration under Covariate Shift with Kernels. International Conference on Artificial Intelligence and Statistics.
(2020). Scrutinizer: Fact Checking Statistical Claims. Proc. VLDB Endow..
(2020). Model-based kernel sum rule: kernel Bayesian inference with probabilistic models. Machine Learning.
(2020). Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting. ECML-PKDD The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
(2020). Mining Expressive Rules in Knowledge Graphs. J. Data and Information Quality.
(2020). Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020.
(2020). Convergence analysis of deterministic kernel-based quadrature rules in misspecified settings. Foundations of Computational Mathematics.
(2020). Cleaning data with Llunatic. VLDB J..
(2019). TTL-based Cloud Caches. INFOCOM.
(2019). Semantic and visual similarities for efficient knowledge transfer in CNN training. CBMI 2019, 17th International Conference on Content-Based Multimedia Indexing, 4-6 September 2019, Dublin, Ireland.
(2019). Schema Mapping. Encyclopedia of Big Data Technologies.
(2019). On the positivity and magnitudes of Bayesian quadrature weights. Statistics and Computing.
(2019). OligoArchive: Using DNA in the DBMS storage hierarchy. CIDR.
(2019). Network level perspective in web sessions troubleshooting. Int. J. Communication Systems.
(2019). Model Selection for Simulator-based Statistical Models: A Kernel Approach. arXiv preprint arXiv:1902.02517.
(2019). Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density. Placenta.
(2019). Meta-Mappings for Schema Mapping Reuse. Proc. VLDB Endow..
(2019). Memory Partitioning and Management in Memcached. IEEE Trans. Services Computing.
(2019). Kernel computations from large-scale random features obtained by Optical Processing Units. arxiv: 1910.09880.
(2019). Good Initializations of Variational Bayes for Deep Models. Proceedings of the 36th International Conference on Machine Learning, ICML 2019, Long Beach, USA, 2019.
(2019). GAIA: A Framework for Schema Mapping Reuse (extended abstract). Proceedings of the 27th Italian Symposium on Advanced Database Systems, Castiglione della Pescaia (Grosseto), Italy, June 16-19, 2019.
(2019). Exact Gaussian process regression with distributed computations. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019.
(2019). Easy Web API Development with SPARQL Transformer. 18$^th$ International Semantic Web Conference (ISWC), In-Use Track.
(2019). Deep Compositional Spatial Models.
(2019). Data Integration. Encyclopedia of Big Data Technologies.
(2019). Convergence guarantees for adaptive Bayesian quadrature methods. Advances in Neural Information Processing Systems.
(2019). Contributed discussion on "A Bayesian conjugate gradient method". Bayesian Analysis, 14(3), 2019.
(2019). Autism Spectrum Disorder characterization in children by capturing local-regional brain changes in MRI. Medical physics.
(2019). A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
(2018). Detecting Fake Suppliers using Deep Image Features. 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).
(2018). Transforming the JSON Output of SPARQL Queries for Linked Data Clients. WWW’18 Companion: The 2018 Web Conference Companion.
(2018). Towards a Benchmark for Fact Checking with Knowledge Bases. Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018.
(2018). Schema Mappings: From Data Translation to Data Cleaning. A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years.
(2018). RuDiK: Rule Discovery in Knowledge Bases. Proc. VLDB Endow..
(2018). Robust Discovery of Positive and Negative Rules in Knowledge Bases. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018.
(2018). RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -. Proc. VLDB Endow..
(2018). Predicting The Emotion of Playlists Using Track Lyrics. 19$^th$ International Society for Music Information Retrieval Conference (ISMIR), Late-Breaking Demo Track.
(2018). Let's Make It Dirty with BART!. Proceedings of the 26th Italian Symposium on Advanced Database Systems, Castellaneta Marina (Taranto), Italy, June 24-27, 2018.
(2018). Kernel Recursive ABC: Point Estimation with Intractable Likelihood. Proceedings of the 35th International Conference on Machine Learning.
(2018). Improving (Re-) Usability of Musical Datasets: An Overview of the DOREMUS Project. BIBLIOTHEK - Forschung und Praxis.
(2018). Gaussian processes and kernel methods: A review on connections and equivalences. arXiv preprint arXiv:1807.02582.
(2018). Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, December 3-7 2018, Montreal, Quebec, Canada.
(2018). Counterfactual Mean Embeddings. arXiv preprint arXiv:1805.08845.
(2018). Controlled Vocabularies for Music Metadata. 19$^th$ International Society for Music Information Retrieval Conference (ISMIR).
(2018). Constraining the Dynamics of Deep Probabilistic Models. Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 2018.
(2018). Calibrating Deep Convolutional Gaussian Processes.
(2018). Cache Policies for Linear Utility Maximization. IEEE/ACM Trans. Netw..
(2018). An Ensemble Approach of Recurrent Neural Networks using Pre-Trained Embeddings for Playlist Completion. 12$^th$ ACM Conference on Recommender Systems (RecSys), Challenge Track.
(2018). A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network. 17$^th$ International Semantic Web Conference (ISWC).
(2017). EURECOM @MediaEval 2017: Media genre inference for predicting media interestingness. MEDIAEVAL 2017, MediaEval Benchmarking Initiative for Multimedia Evaluation, 13-15 September 2017, Dublin, Ireland.
(2017). Unsupervised group matching with application to cross-lingual topic matching without alignment information. Data mining and knowledge discovery.
(2017). Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop. ICDE.
(2017). Synthesizing Entity Matching Rules by Examples. Proc. VLDB Endow..
(2017). Stocator: an object store aware connector for apache spark. SoCC.
(2017). Stocator: A High Performance Object Store Connector for Spark. CoRR.
(2017). Statistical inference in mechanistic models: time warping for improved gradient matching. Computational Statistics.
(2017). Scalable and flexible clustering solutions for mobile phone-based population indicators. Int. J. Data Sci. Anal..
(2017). Random Feature Expansions for Deep Gaussian Processes. Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, Australia, August 6-11, 2017.
(2017). Query-limited Black-box Attacks to Classifiers. CoRR.
(2017). Pseudo-extended Markov chain Monte Carlo.
(2017). Policy learning in continuous-time Markov decision processes using Gaussian Processes. Perform. Eval..
(2017). Modeling the Complexity of Music Metadata in Semantic Graphs for Exploration and Discovery. 4$^th$ International Workshop on Digital Libraries for Musicology (DLfM).
(2017). Large sample analysis of the median heuristic. arXiv preprint arXiv:1707.07269.
(2017). Interactive Data Repairing: the FALCON Dive. Proceedings of the 25th Italian Symposium on Advanced Database Systems, Squillace Lido (Catanzaro), Italy, June 25-29, 2017.
(2017). HFSP: Bringing Size-Based Scheduling To Hadoop. IEEE Trans. Cloud Computing.
(2017). Generating Concise Entity Matching Rules. Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017.
(2017). Fast and scalable inequality joins. VLDB J..
(2017). Entropic Trace Estimates for Log Determinants.
(2017). DriveSCOVER: A Tourism Recommender System Based on External Driving Factors. 16$^th$ International Semantic Web Conference (ISWC), Posters & Demos Track.
(2017). DOing REusable MUSical Data (DOREMUS). 9$^th$ Knowledge Capture Conference (K-CAP), Satellites: Workshops and Tutorials.
(2017). DiNoDB: An Interactive-Speed Query Engine for Ad-Hoc Queries on Temporary Data. IEEE Trans. Big Data.
(2017). Combining template-based and feature-based classification to detect atrial fibrillation from a short single lead ECG recording. 2017 Computing in Cardiology (CinC).
(2017). Combining Music Specific Embeddings for Computing Artist Similarity. 18$^th$ International Society for Music Information Retrieval Conference (ISMIR), Late-Breaking Demo Track.
(2017). CityMUS: Music Recommendation When Exploring a City. 16$^th$ International Semantic Web Conference (ISWC), Posters & Demos Track.
(2017). Bleach: A Distributed Stream Data Cleaning System. BigData Congress.
(2017). Benchmarking the Chase. Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS 2017, Chicago, IL, USA, May 14-19, 2017.
(2017). Bayesian Inference of Log Determinants. Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, August 11-15, 2017, Sydney, Australia.
(2017). AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, August 11-15, 2017, Sydney, Australia.
(2017). Adaptive multiple importance sampling for Gaussian processes. Journal of Statistical Computation and Simulation.
(2017). Access-Time-Aware Cache Algorithms. TOMPECS.
(2017). A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data. Big Data Research.
(2017). A Framework for Interactive Geospatial Map Cleaning using GPS Trajectories. Proceedings of the 10th ACM SIGSPATIAL Workshop on Computational Transportation Science, IWCTS@SIGSPATIAL 2017, Redondo Beach, CA, USA, November 7, 2017.
(2016). Demonstrating Ambient Search: Implicit Document Retrieval for Speech Streams. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations.
(2016). Ambient Search: A Document Retrieval System for Speech Streams. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers.
(2016). User-Customizable Web Components for Building One-Page Sites. 9$^th International Conference on Advances in Computer-Human Interactions (ACHI).
(2016). Smoothed model checking for uncertain Continuous-Time Markov Chains. Inf. Comput..
(2016). PSBS: Practical Size-Based Scheduling. IEEE Trans. Computers.
(2016). Property-driven State-Space Coarsening for Continuous Time Markov Chains. CoRR.
(2016). Preconditioning Kernel Matrices.
(2016). NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data. PVLDB.
(2016). Modeling, Exploring and Recommending Music in Its Complexity. 20$^th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Doctoral Consortium Track.
(2016). IOStack: Software-Defined Object Storage. IEEE Internet Computing.
(2016). Improving population estimation from mobile calls: A clustering approach. ISCC.
(2016). Filtering with state-observation examples via kernel monte carlo filter. Neural computation.
(2016). Fast Online k-nn Graph Building. CoRR.
(2016). Fast Inference in Nonlinear Dynamical Systems using Gradient Matching. Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, New York City, USA, June 19-24, 2016.
(2016). Fast distributed k-nn graph update. BigData.
(2016). Exploring Linked Classical Music Catalogs with OVERTURE. 15$^th$ International Semantic Web Conference (ISWC), Posters & Demos Track.
(2016). Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service. CoRR.
(2016). DOREMUS to Schema.org: Mapping a Complex Vocabulary to a Simpler One. 20$^th International Conference on Knowledge Engineering and Knowledge Management (EKAW), Posters & Demos Track.
(2016). Decoding post-stroke motor function from structural brain imaging . *NeuroImage: Clinical *.
(2016). Convergence guarantees for kernel-based quadrature rules in misspecified settings. Advances in Neural Information Processing Systems.
(2016). Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. BioMedical Engineering OnLine.
(2015). U-Check: Model Checking and Parameter Synthesis Under Uncertainty. Quantitative Evaluation of Systems, 12th International Conference, QEST 2015, Madrid, Spain, September 1-3, 2015, Proceedings.
(2015). Studying Emergent Behaviours in Morphogenesis Using Signal Spatio-Temporal Logic. Hybrid Systems Biology - Fourth International Workshop, HSB 2015, Madrid, Spain, September 4-5, 2015. Revised Selected Papers.
(2015). On User Availability Prediction and Network Applications. IEEE/ACM Transactions on Networking.
(2015). Monte Carlo Strength Evaluation: Fast and Reliable Password Checking. Proceedings of the 22nd ACM Conference on Computer and Communications Security.
(2015). MCMC for Variationally Sparse Gaussian Processes. Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12 2015, Montreal, Quebec, Canada.
(2015). Machine Learning Methods in Statistical Model Checking and System Design - Tutorial. Runtime Verification - 6th International Conference, RV 2015 Vienna, Austria, September 22-25, 2015. Proceedings.
(2015). Efficient Stochastic Simulation of Systems with Multiple Time Scales via Statistical Abstraction. Computational Methods in Systems Biology - 13th International Conference, CMSB 2015, Nantes, France, September 16-18, 2015, Proceedings.
(2014). Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data. 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014.
(2014). Probabilistic Programming Process Algebra. Quantitative Evaluation of Systems - 11th International Conference, QEST 2014, Florence, Italy, September 8-10, 2014. Proceedings.
(2014). Predicting Continuous Conflict Perception with Bayesian Gaussian Processes. IEEE Transactions on Affective Computing.
(2014). Detecting Hot Spots in Web Videos. 13$^th$ International Semantic Web Conference (ISWC), Posters & Demo Track.
(2013). Stochastic Modelling of the Kai-based Circadian Clock. Electr. Notes Theor. Comput. Sci..
(2013). ODE parameter inference using adaptive gradient matching with Gaussian processes. AISTATS.
(2013). Markov Chain Simulation with Fewer Random Samples. Electr. Notes Theor. Comput. Sci..
(2013). Automated, High Accuracy Classification of Parkinsonian Disorders: A Pattern Recognition Approach. PLoS ONE.
(2013). Aggregation Algorithm Towards Large-Scale Boolean Network Analysis. IEEE Transactions on Automatic Control.
(2013). A genetic algorithm approach to global optimization of software cost estimation by analogy. Intelligent Decision Technologies.
(2012). Probabilistic Prediction of Neurological Disorders with a Statistical Assessment of Neuroimaging Data Modalities. Annals of Applied Statistics.
(2012). Predicting the conflict level in television political debates: an approach based on crowdsourcing, nonverbal communication and Gaussian processes. Proceedings of the 20th ACM Multimedia Conference, MM ‘12, Nara, Japan, October 29 - November 02, 2012.
(2012). Population MCMC methods for history matching and uncertainty quantification. Computational Geosciences.
(2012). From speech to personality: mapping voice quality and intonation into personality differences. Proceedings of the 20th ACM Multimedia Conference, MM ‘12, Nara, Japan, October 29 - November 02, 2012.
(2012). Compositional Approximate Markov Chain Aggregation for PEPA Models. Computer Performance Engineering - 9th European Workshop, EPEW 2012, Munich, Germany, July 30, 2012, and 28th UK Workshop, UKPEW 2012, Edinburgh, UK, July 2, 2012, Revised Selected Papers.
(2011). Simulated annealing for supervised gene selection. Soft Computing - A Fusion of Foundations, Methodologies and Applications.
(2011). Global Optimization of Analogy-Based Software Cost Estimation with Genetic Algorithms. Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II.
(2011). Discussion of the paper ''Riemann manifold Langevin and Hamiltonian Monte Carlo methods'' by Mark Girolami and Ben Calderhead. Journal of the Royal Statistical Society, Series B (Statistical Methodology).
(2011). Approximate inference of the bandwidth in multivariate kernel density estimation. Computational Statistics & Data Analysis.
(2011). A Perturbative Approach to Novelty Detection in Autoregressive Models. IEEE Transactions on Signal Processing.
(2010). Applying the Possibilistic C-Means Algorithm in Kernel-Induced Spaces. IEEE Transactions on Fuzzy Systems.
(2009). Soft Ranking in Clustering. Neurocomputing.
(2009). Clustering in the Membership Embedding Space. International Journal of Knowledge Engineering and Soft Data Paradigms.
(2009). A comparative evaluation of Nonlinear Dynamics Methods for Time Series Prediction. Neural Computing and Applications.
(2008). Stability and Performances in Biclustering Algorithms. Computational Intelligence Methods for Bioinformatics and Biostatistics, 5th International Meeting, CIBB 2008, Vietri sul Mare, Italy, October 3-4, 2008, Revised Selected Papers.
(2008). Detecting Suspicious Behavior in Surveillance Images. Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy.
(2008). An Experimental Comparison of Kernel Clustering Methods. New Directions in Neural Networks - 18th Italian Workshop on Neural Networks: WIRN 2008, Vietri sul Mare, Italy, May 22-24, 2008, Revised Selected Papers.
(2007). SVM-Based Time Series Prediction with Nonlinear Dynamics Methods. Knowledge-Based Intelligent Information and Engineering Systems, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007, Proceedings, Part III.
(2007). Possibilistic Clustering in Feature Space. Applications of Fuzzy Sets Theory, 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings.
(2007). Membership Embedding Space Approach and Spectral Clustering. Knowledge-Based Intelligent Information and Engineering Systems, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007, Proceedings, Part III.
(2007). Local Learning of Tide Level Time Series using a Fuzzy Approach. Proceedings of the International Joint Conference on Neural Networks, IJCNN 2007, Celebrating 20 years of neural networks, Orlando, Florida, USA, August 12-17, 2007.
(2006). Supervised Classification and Gene Selection Using Simulated Annealing. Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006.
(2006). Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis. Computational Methods in Systems Biology, International Conference, CMSB 2006, Trento, Italy, October 18-19, 2006, Proceedings.
(2006). Input Selection with Mixed Data Sets: A Simulated Annealing Wrapper Approach. CISI 06 - Conferenza Italiana Sistemi Intelligenti.
(2006). Gene Expression Data Analysis in the Membership Embedding Space: A Constructive Approach.. CIBB 2006 - Third International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics.
(2006). A Survey of Kernel and Spectral Methods for Clustering.
(2005). Unsupervised Gene Selection and Clustering Using Simulated Annealing.. Fuzzy Logic and Applications, 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers.
(2005). Soft Rank Clustering. Neural Nets, 16th Italian Workshop on Neural Nets, WIRN 2005, and International Workshop on Natural and Artificial Immune Systems, NAIS 2005, Vietri sul Mare, Italy, June 8-11, 2005, Revised Selected Papers.
(2005). Clustering Genomic Data in the Membership Embedding Space. CI-BIO - Workshop on Computational Intelligence Approaches for the Analysis of Bioinformatics Data.
(2004). ERAF: a R Package for Regression and Forecasting. Biological and Artificial Intelligence Environments.