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Institution

fondazione bruno kessler

FacilityTrento, Italy
About: fondazione bruno kessler is a(n) facility organization based out in Trento, Italy. It is known for research contribution in the topic(s): Silicon photomultiplier & Machine translation. The organization has 1145 authors who have published 4730 publication(s) receiving 94404 citation(s). The organization is also known as: Trentino Institute of Culture.
Papers
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Journal ArticleDOI
TL;DR: An overview of the key aspects of graphene and related materials, ranging from fundamental research challenges to a variety of applications in a large number of sectors, highlighting the steps necessary to take GRMs from a state of raw potential to a point where they might revolutionize multiple industries are provided.
Abstract: We present the science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems, targeting an evolution in technology, that might lead to impacts and benefits reaching into most areas of society. This roadmap was developed within the framework of the European Graphene Flagship and outlines the main targets and research areas as best understood at the start of this ambitious project. We provide an overview of the key aspects of graphene and related materials (GRMs), ranging from fundamental research challenges to a variety of applications in a large number of sectors, highlighting the steps necessary to take GRMs from a state of raw potential to a point where they might revolutionize multiple industries. We also define an extensive list of acronyms in an effort to standardize the nomenclature in this emerging field.

2,215 citations


Book
01 Jan 2006
TL;DR: This chapter discusses Classical Planning and its Applications, as well as Neoclassical and Neo-Classical Techniques, and discusses search procedures and Computational Complexity.
Abstract: 1 Introduction and Overview I Classical Planning 2 Representations for Classical Planning*3 Complexity of Classical Planning*4 State-Space Planning*5 Plan-Space Planning II Neoclassical Planning 6 Planning-Graph Techniques*7 Propositional Satisfiability Techniques*8 Constraint Satisfaction Techniques III Heuristics and Control Strategies 9 Heuristics in Planning*10 Control Rules in Planning*11 Hierarchical Task Network Planning*12 Control Strategies in Deductive Planning IV Planning with Time and Resources 13 Time for Planning*14 Temporal Planning*15 Planning and Resource Scheduling V Planning under Uncertainty 16 Planning based on Markov Decision Processes*17 Planning based on Model Checking*18 Uncertainty with Neo-Classical Techniques VI Case Studies and Applications 19 Space Applications*20 Planning in Robotics*21 Planning for Manufacturability Analysis*22 Emergency Evacuation Planning *23 Planning in the Game of Bridge VII Conclusion 24 Conclusion and Other Topics VIII Appendices A Search Procedures and Computational Complexity*B First Order Logic*C Model Checking

1,612 citations


Journal ArticleDOI
27 Mar 2014-Nature
Abstract: Regulated transcription controls the diversity, developmental pathways and spatial organization of the hundreds of cell types that make up a mammal Using single-molecule cDNA sequencing, we mapped transcription start sites (TSSs) and their usage in human and mouse primary cells, cell lines and tissues to produce a comprehensive overview of mammalian gene expression across the human body We find that few genes are truly 'housekeeping', whereas many mammalian promoters are composite entities composed of several closely separated TSSs, with independent cell-type-specific expression profiles TSSs specific to different cell types evolve at different rates, whereas promoters of broadly expressed genes are the most conserved Promoter-based expression analysis reveals key transcription factors defining cell states and links them to binding-site motifs The functions of identified novel transcripts can be predicted by coexpression and sample ontology enrichment analyses The functional annotation of the mammalian genome 5 (FANTOM5) project provides comprehensive expression profiles and functional annotation of mammalian cell-type-specific transcriptomes with wide applications in biomedical research

1,479 citations


Journal ArticleDOI
M. Punturo, M. R. Abernathy1, Fausto Acernese2, Benjamin William Allen3, Nils Andersson4, K. G. Arun5, Fabrizio Barone2, B. Barr1, M. Barsuglia6, M. G. Beker7, N. Beveridge1, S. Birindelli8, Suvadeep Bose9, L. Bosi, S. Braccini, C. Bradaschia, Tomasz Bulik10, Enrico Calloni, G. Cella, E. Chassande Mottin6, Simon Chelkowski11, Andrea Chincarini, John A. Clark12, E. Coccia13, C. N. Colacino, J. Colas, A. Cumming1, L. Cunningham1, E. Cuoco, S. L. Danilishin14, Karsten Danzmann3, G. De Luca, R. De Salvo15, T. Dent12, R. De Rosa, L. Di Fiore, A. Di Virgilio, M. Doets7, V. Fafone13, Paolo Falferi16, R. Flaminio17, J. Franc17, F. Frasconi, Andreas Freise11, Paul Fulda11, Jonathan R. Gair18, G. Gemme, A. Gennai11, A. Giazotto, Kostas Glampedakis19, M. Granata6, Hartmut Grote3, G. M. Guidi20, G. D. Hammond1, Mark Hannam21, Jan Harms22, D. Heinert23, Martin Hendry1, Ik Siong Heng1, Eric Hennes7, Stefan Hild1, J. H. Hough, Sascha Husa24, S. H. Huttner1, Gareth Jones12, F. Y. Khalili14, Keiko Kokeyama11, Kostas D. Kokkotas19, Badri Krishnan24, M. Lorenzini, Harald Lück3, Ettore Majorana, Ilya Mandel25, Vuk Mandic22, I. W. Martin1, C. Michel17, Y. Minenkov13, N. Morgado17, Simona Mosca, B. Mours26, H. Müller–Ebhardt3, P. G. Murray1, Ronny Nawrodt1, John Nelson1, Richard O'Shaughnessy27, Christian D. Ott15, C. Palomba, A. Paoli, G. Parguez, A. Pasqualetti, R. Passaquieti28, D. Passuello, L. Pinard17, Rosa Poggiani28, P. Popolizio, Mirko Prato, P. Puppo, D. S. Rabeling7, P. Rapagnani29, Jocelyn Read24, Tania Regimbau8, H. Rehbein3, Stuart Reid1, Luciano Rezzolla24, F. Ricci29, F. Richard, A. Rocchi, Sheila Rowan1, Albrecht Rüdiger3, Benoit Sassolas17, Bangalore Suryanarayana Sathyaprakash12, Roman Schnabel3, C. Schwarz, Paul Seidel, Alicia M. Sintes24, Kentaro Somiya15, Fiona C. Speirits1, Kenneth A. Strain1, S. E. Strigin14, P. J. Sutton12, S. P. Tarabrin14, Andre Thüring3, J. F. J. van den Brand7, C. van Leewen7, M. van Veggel1, C. Van Den Broeck12, Alberto Vecchio11, John Veitch11, F. Vetrano20, A. Viceré20, Sergey P. Vyatchanin14, Benno Willke3, Graham Woan1, P. Wolfango30, Kazuhiro Yamamoto3 
Abstract: Advanced gravitational wave interferometers, currently under realization, will soon permit the detection of gravitational waves from astronomical sources. To open the era of precision gravitational wave astronomy, a further substantial improvement in sensitivity is required. The future space-based Laser Interferometer Space Antenna and the third-generation ground-based observatory Einstein Telescope (ET) promise to achieve the required sensitivity improvements in frequency ranges. The vastly improved sensitivity of the third generation of gravitational wave observatories could permit detailed measurements of the sources' physical parameters and could complement, in a multi-messenger approach, the observation of signals emitted by cosmological sources obtained through other kinds of telescopes. This paper describes the progress of the ET project which is currently in its design study phase.

914 citations


Journal ArticleDOI
TL;DR: A completely automatic algorithm (ADJUST) that identifies artifacted independent components by combining stereotyped artifact-specific spatial and temporal features is proposed that provides a fast, efficient, and automatic way to use ICA for artifact removal.
Abstract: A successful method for removing artifacts from electroencephalogram (EEG) recordings is Independent Component Analysis (ICA), but its implementation remains largely user-dependent. Here, we propose a completely automatic algorithm (ADJUST) that identifies artifacted independent components by combining stereotyped artifact-specific spatial and temporal features. Features were optimized to capture blinks, eye movements, and generic discontinuities on a feature selection dataset. Validation on a totally different EEG dataset shows that (1) ADJUST’s classification of independent components largely matches a manual one by experts (agreement on 95.2% of the data variance), and (2) Removal of the artifacted components detected by ADJUST leads to neat reconstruction of visual and auditory eventrelated potentials from heavily artifacted data. These results demonstrate that ADJUST provides a fast, efficient, and automatic way to use ICA for artifact removal. Descriptors: Electroencephalography, Independent component analysis, EEG artifacts, EEG artefacts, Event-related potentials, Ongoing brain activity, Automatic classification, Thresholding

860 citations


Authors

Showing all 1145 results

NameH-indexPapersCitations
Luca Benini101145347862
Gianluigi Casse98115046476
Lorenzo Bruzzone8669933030
Wolfram Weise7146318090
Achim Richter6165416937
Nicola M. Pugno6173018985
Alessandro Tredicucci5732916545
Alessandro Cimatti5727717459
Patrizio Pezzotti5626010698
Tommaso Calarco531929077
Paolo Tonella532899155
Alessandro Moschitti5230811378
Marco Roveri5121313029
Fabio Remondino5032112087
Gert Aarts482326462
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20227
2021405
2020502
2019410
2018373
2017419