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Applied Reconfigurable Computing. Architectures, Tools, and Applications : 17th International Symposium, ARC 2021, Virtual Event, June 29–30, 2021, Proceedings / / edited by Steven Derrien, Frank Hannig, Pedro C. Diniz, Daniel Chillet
Applied Reconfigurable Computing. Architectures, Tools, and Applications : 17th International Symposium, ARC 2021, Virtual Event, June 29–30, 2021, Proceedings / / edited by Steven Derrien, Frank Hannig, Pedro C. Diniz, Daniel Chillet
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (344 pages)
Disciplina 004
Collana Theoretical Computer Science and General Issues
Soggetto topico Computers
Computer networks
Computers, Special purpose
Computer systems
Compilers (Computer programs)
Image processing - Digital techniques
Computer vision
Computer Hardware
Computer Communication Networks
Special Purpose and Application-Based Systems
Computer System Implementation
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Arquitectura d'ordinadors
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-79025-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applications -- Design Tools -- Architecture -- Security -- Posters.
Record Nr. UNINA-9910488692203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Architecting Systems with Trustworthy Components [[electronic resource] ] : International Seminar, Dagstuhl Castle, Germany, December 12-17, 2004. Revised Selected Papers / / edited by Ralf H. Reussner, Judith A. Stafford, Clemens A. Szyperski
Architecting Systems with Trustworthy Components [[electronic resource] ] : International Seminar, Dagstuhl Castle, Germany, December 12-17, 2004. Revised Selected Papers / / edited by Ralf H. Reussner, Judith A. Stafford, Clemens A. Szyperski
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (X, 299 p.)
Disciplina 005.1
Collana Theoretical Computer Science and General Issues
Soggetto topico Software engineering
Computer networks
Computer programming
Operating systems (Computers)
Compilers (Computer programs)
Software Engineering
Computer Communication Networks
Programming Techniques
Operating Systems
Compilers and Interpreters
ISBN 3-540-35833-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Articles -- Audition of Web Services for Testing Conformance to Open Specified Protocols -- A Core Theory of Interfaces and Architecture and Its Impact on Object Orientation -- Making Specifications Complete Through Models -- Bus Scheduling for TDL Components -- Refinement and Consistency in Component Models with Multiple Views -- Articles by Participants -- A Taxonomy on Component-Based Software Engineering Methods -- Unifying Hardware and Software Components for Embedded System Development -- On the Composition of Compositional Reasoning -- Trustworthy Instantiation of Frameworks -- Performance Prediction of Component-Based Systems -- Towards an Engineering Approach to Component Adaptation -- Compatible Component Upgrades Through Smart Component Swapping -- Exceptions in Component Interaction Protocols – Necessity -- Coalgebraic Semantics for Component Systems -- A Type Theoretic Framework for Formal Metamodelling.
Record Nr. UNISA-996465859203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Architecting Systems with Trustworthy Components : International Seminar, Dagstuhl Castle, Germany, December 12-17, 2004. Revised Selected Papers / / edited by Ralf H. Reussner, Judith A. Stafford, Clemens A. Szyperski
Architecting Systems with Trustworthy Components : International Seminar, Dagstuhl Castle, Germany, December 12-17, 2004. Revised Selected Papers / / edited by Ralf H. Reussner, Judith A. Stafford, Clemens A. Szyperski
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Descrizione fisica 1 online resource (X, 299 p.)
Disciplina 005.1
Altri autori (Persone) ReussnerRalf H
StaffordJudith A (Judith Alyce)
SzyperskiClemens A
Collana Theoretical Computer Science and General Issues
Soggetto topico Software engineering
Computer networks
Computer programming
Operating systems (Computers)
Compilers (Computer programs)
Software Engineering
Computer Communication Networks
Programming Techniques
Operating Systems
Compilers and Interpreters
ISBN 3-540-35833-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Articles -- Audition of Web Services for Testing Conformance to Open Specified Protocols -- A Core Theory of Interfaces and Architecture and Its Impact on Object Orientation -- Making Specifications Complete Through Models -- Bus Scheduling for TDL Components -- Refinement and Consistency in Component Models with Multiple Views -- Articles by Participants -- A Taxonomy on Component-Based Software Engineering Methods -- Unifying Hardware and Software Components for Embedded System Development -- On the Composition of Compositional Reasoning -- Trustworthy Instantiation of Frameworks -- Performance Prediction of Component-Based Systems -- Towards an Engineering Approach to Component Adaptation -- Compatible Component Upgrades Through Smart Component Swapping -- Exceptions in Component Interaction Protocols – Necessity -- Coalgebraic Semantics for Component Systems -- A Type Theoretic Framework for Formal Metamodelling.
Record Nr. UNINA-9910484826403321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Architectures for Adaptive Software Systems : 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, June 24-26, 2009 Proceedings / / edited by Raffaela Mirandola, Ian Gorton, Christine Hofmeister
Architectures for Adaptive Software Systems : 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, June 24-26, 2009 Proceedings / / edited by Raffaela Mirandola, Ian Gorton, Christine Hofmeister
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica 1 online resource (X, 213 p.)
Disciplina 005.1
Altri autori (Persone) GortonIan
HofmeisterChristine
MirandolaRaffaela
Collana Programming and Software Engineering
Soggetto topico Software engineering
Compilers (Computer programs)
Computer programming
Computer science
Algorithms
Software Engineering
Compilers and Interpreters
Programming Techniques
Computer Science Logic and Foundations of Programming
ISBN 3-642-02351-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Model-Driven Quality Analysis -- A Model-Based Framework to Design and Debug Safe Component-Based Autonomic Systems -- Applying Model Transformations to Optimizing Real-Time QoS Configurations in DRE Systems -- Automated Architecture Consistency Checking for Model Driven Software Development -- Architectural Performance Prediction -- Improved Feedback for Architectural Performance Prediction Using Software Cartography Visualizations -- Predicting Performance Properties for Open Systems with KAMI -- Compositional Prediction of Timed Behaviour for Process Control Architecture -- Timed Simulation of Extended AADL-Based Architecture Specifications with Timed Abstract State Machines -- Architectural Knowledge -- Achieving Agility through Architecture Visibility -- Successful Architectural Knowledge Sharing: Beware of Emotions -- Toward a Catalogue of Architectural Bad Smells -- Case Studies and Experience Reports -- On the Consolidation of Data-Centers with Performance Constraints -- Evolving Industrial Software Architectures into a Software Product Line: A Case Study -- Adaptive Application Composition in Quantum Chemistry.
Record Nr. UNINA-9910485008703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Arduino Software Internals : A Complete Guide to How Your Arduino Language and Hardware Work Together / / by Norman Dunbar
Arduino Software Internals : A Complete Guide to How Your Arduino Language and Hardware Work Together / / by Norman Dunbar
Autore Dunbar Norman
Edizione [2nd ed. 2024.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024
Descrizione fisica 1 online resource (393 pages)
Disciplina 006.2/2
Collana Maker Innovations Series
Soggetto topico Makerspaces
Compilers (Computer programs)
Operating systems (Computers)
Maker
Compilers and Interpreters
Operating Systems
ISBN 9798868801716
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Arduino Compilation -- Chapter 3. Arduino Language Reference.-Chapter 4. Arduino Classes -- Chapter 5. Converting to the AVR Language -- Chapter 6. Alternatives to the Arduino IDE -- Chapter 7. ATmega328P Configuration and Management.-Chapter 8. ATmega328P Hardware - Timers and Counters -- Chapter 9. ATmega328P Hardware - ADC and USART -- Appendix A: Arduino Paths -- Appendix B: ATmega328P Pinout -- Appendix C: ATmega328P Power Restrictions -- Appendix D: Predefined Settings -- Appendix E: ADC Temperature Conversion -- Appendix F: Assembly Language - Briefly -- Appendix G: Smallest Blink Sketch? -- Appendix H: NormDuino -- Appendix I: No ICSP? No Problem! -- Appendix J: Breadboard 8MHz Board Setup -- Appendix K: AVRAssist.
Record Nr. UNINA-9910869163503321
Dunbar Norman  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Arduino Software Internals : A Complete Guide to How Your Arduino Language and Hardware Work Together / / by Norman Dunbar
Arduino Software Internals : A Complete Guide to How Your Arduino Language and Hardware Work Together / / by Norman Dunbar
Autore Dunbar Norman
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (xix, 617 pages) : illustrations
Disciplina 006.22
Soggetto topico Makerspaces
Compilers (Computer programs)
Operating systems (Computers)
Maker
Compilers and Interpreters
Operating Systems
ISBN 9781484257906
1484257901
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Arduino Compilation -- Chapter 3. Arduino Language Reference.-Chapter 4. Arduino Classes -- Chapter 5. Converting to the AVR Language -- Chapter 6. Alternatives to the Arduino IDE -- Chapter 7. ATmega328P Configuration and Management.-Chapter 8. ATmega328P Hardware - Timers and Counters -- Chapter 9. ATmega328P Hardware - ADC and USART -- Appendix A: Arduino Paths -- Appendix B: ATmega328P Pinout -- Appendix C: ATmega328P Power Restrictions -- Appendix D: Predefined Settings -- Appendix E: ADC Temperature Conversion -- Appendix F: Assembly Language - Briefly -- Appendix G: Smallest Blink Sketch? -- Appendix H: NormDuino -- Appendix I: No ICSP? No Problem! -- Appendix J: Breadboard 8MHz Board Setup -- Appendix K: AVRAssist.
Record Nr. UNINA-9910392715903321
Dunbar Norman  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Soft Computing : 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Artificial Intelligence and Soft Computing : 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part II / / edited by Leszek Rutkowski, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard Tadeusiewicz, Jacek M. Zurada
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (535 pages)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Software engineering
Compilers (Computer programs)
Image processing - Digital techniques
Computer vision
Computer science
Computer science - Mathematics
Artificial Intelligence
Software Engineering
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Theory of Computation
Mathematics of Computing
Intel·ligència artificial
Informàtica tova
Soggetto genere / forma Llibres electrònics
ISBN 3-030-87897-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Networks and Their Applications -- Fuzzy Systems and Their Applications -- Evolutionary Algorithms and Their Applications -- Artificial Intelligence in Modeling and Simulation -- Computer Vision, Image and Speech Analysis -- Data Mining -- Various Problems of Artificial Intelligence -- Bioinformatics, Biometrics and Medical Applications.
Record Nr. UNINA-9910502670703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence in Medicine : 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings / / edited by Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi
Artificial Intelligence in Medicine : 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings / / edited by Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXV, 369 p. 75 illus.)
Disciplina 610.285
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Machine theory
Computer programming
Compilers (Computer programs)
Artificial Intelligence
Data Mining and Knowledge Discovery
Formal Languages and Automata Theory
Programming Techniques
Compilers and Interpreters
ISBN 3-319-59758-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Invited Talks -- SNOMED CT: The Thorny Way Towards Interoperability of Clinical Routine Data -- Collaborative, Exploratory Question Answering Against Medical Literature -- Contents -- Ontologies and Knowledge Representation -- Studying the Reuse of Content in Biomedical Ontologies: An Axiom-Based Approach -- 1 Introduction -- 2 Methods -- 2.1 Types of Term Reuse in Biomedical Ontologies -- 2.2 Characterisation of Ontologies Based on Reuse -- 2.3 Identification of Hidden Axioms -- 2.4 A Modular Strategy for Increasing the Amount of Knowledge that is Already Being Reused -- 3 Results -- 3.1 Experimental Setup -- 3.2 Analysis of the Reused Terms URIs -- 3.3 Analysis by the Type of Reuse -- 3.4 Analysis of Hidden Axioms and Terms Already Reused -- 4 Discussion and Conclusions -- References -- Ontological Representation of Laboratory Test Observables: Challenges and Perspectives in the SNOMED CT Observable Entity Model Adoption -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Terminologies and Ontologies -- 2.2 Lab Test Observable Classification -- 3 Results -- 3.1 ELK Classification Metrics -- 3.2 Lab Test Classification Issue -- 3.3 Representation of Observation Using BTL2 -- 4 Conclusion -- References -- CAREDAS: Context and Activity Recognition Enabling Detection of Anomalous Situation -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Detection -- 2.2 Markov Logic Network (MLN) -- 3 Contributions -- 4 CAREDAS Knowledge Base -- 4.1 Data Structure Definition -- 4.2 The MLN Model for Anomalous Situation Detection -- 5 CAREDAS Inference Engine -- 5.1 Situation Construction -- 5.2 Dynamic Ground MLN Creation -- 5.3 Rules Weights Calculus -- 5.4 Computation of the Weight of Probabilistic Hidden Predicates -- 6 Experimental Evaluation -- 7 Conclusion and Future Work -- References.
Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Customization of CPGs -- 2.2 Automatic Verification and Evaluation of CIGs -- 3 Methods -- 3.1 Two-Layered Contextual Decision Model -- 3.2 Constraint Logic Programming and MiniZinc -- 3.3 Using CLP to Check Properties of Two-Layered Decision Models -- 3.4 Analysis of Property Violations and Revisions of the PROforma Model -- 4 Case Study Example -- 5 Results -- 5.1 A Decision Model for Asthma with the Secondary Personal Domains -- 5.2 Verification and Revision of the Decision Model for Asthma -- 6 Discussion and Conclusions -- References -- Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version) -- 1 Introduction -- 2 Challenges -- 3 Knowledge Resources and Integration -- 4 Use Cases -- 5 Implementation, Discussion and Conclusion -- References -- Bayesian Methods -- Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Bayesian Network Model Definition -- 2.2 Evaluation Strategy and Software Used -- 3 Results -- 4 Discussion -- 5 Concluding Remarks -- References -- Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Assessment of Cognitive Decline and Apolipoprotein E Genotyping -- 2.3 Recording and Pre-processing of Event-Related Potentials -- 2.4 Spatial Synchrony Measures -- 2.5 Spatiotemporal Synchrony Measures -- 2.6 Machine Learning Classifiers -- 3 Results -- 3.1 Prediction of Rapid Cognitive Decline -- 3.2 Apolipoprotein E ε4 Classification -- 4 Summary and Discussion -- Acknowledgment -- References.
Data Fusion Approach for Learning Transcriptional Bayesian Networks -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Reconstruction of CML Transcriptional Regulatory Network -- 2.2 Hybrid Bayesian Network Structure Learning Algorithm -- 3 Results and Discussion -- References -- A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks -- 1 Introduction -- 2 Conditional Survival Bayesian Networks -- 2.1 Modelling Survival in Bayesian Networks -- 2.2 Learning and Inference -- 3 Experimental Work -- 3.1 Experimental Setup -- 3.2 Results -- 4 Conclusions -- References -- Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements -- 1 Introduction -- 2 Related Research -- 3 Experimental Methodology -- 4 Results -- 4.1 Bayesian Classification -- 5 Conclusion -- References -- Temporal Methods -- Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees -- 1 Introduction -- 2 Predictive Clustering Trees for Time Series Modelling -- 3 Data Description and Experimental Design -- 4 Results -- 5 Conclusions -- References -- Estimation of Sleep Quality by Using Microstructure Profiles -- 1 Introduction -- 2 Data Set Description -- 3 Sleep Features -- 3.1 Hypnogram Features -- 3.2 PSM Based Sleep Features -- 4 Methodology -- 4.1 Feature Selection -- 5 Results and Discussion -- 6 Conclusion -- References -- Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification -- 1 Introduction -- 2 Background and Motivation -- 3 The Parkinson's Disease Data Set -- 3.1 PPMI Symptoms Data Sets -- 3.2 PPMI Concomitant Medications Log -- 3.3 Experimental Data Set -- 4 Methodology -- 5 Data Analysis -- 5.1 Results -- 6 Conclusions -- References.
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring -- 1 Introduction -- 2 Method -- 2.1 Data Transformation to Stabilize Variance -- 2.2 Seasonal-Trend Decomposition -- 2.3 Likelihood Ratio Statistics -- 2.4 Further Improvements -- 3 Experiments -- 3.1 Experiment Design -- 3.2 Results on Data with Known Change-Points -- 3.3 Results on Data with Simulated Change-Points -- 4 Related Work and Discussion -- 5 Conclusion -- References -- Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Symbolic Aggregate ApproXimation (SAX) -- 3.2 Bag of Words Representation of Kinematic Data -- 3.3 Vector Space Model (VSM) -- 3.4 Training and Classifying Kinematic Data -- 4 Experimental Evaluation -- 4.1 Gesture Classification -- 4.2 Skills Classification -- 4.3 Interpretable Patterns Visualization -- 5 Conclusion -- References -- Natural Language Processing -- Automatic Classification of Radiological Reports for Clinical Care -- 1 Introduction -- 2 Background and Related Work -- 3 Data Representation and Annotation -- 3.1 Classification Schema -- 3.2 Data -- 4 Report Classification -- 4.1 Text Processing -- 4.2 Automatic Annotation -- 4.3 Classification -- 4.4 Machine Learning Algorithms -- 5 Evaluation and Discussion -- 6 Conclusion -- References -- Learning Concept-Driven Document Embeddings for Medical Information Search -- 1 Introduction -- 2 On the Semantic Gap Problem in Medical Search -- 3 Model -- 3.1 Problem Formulation -- 3.2 Learning the Concept-Based Representation of Documents -- 3.3 Solving the Optimization Problem -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusion and Future Work -- References -- Automatic Identification of Substance Abuse from Social History in Clinical Text -- Abstract -- 1 Introduction.
2 Related Work -- 3 Dataset -- 3.1 Annotation Process -- 3.2 Annotation Statistics -- 4 Methods -- 4.1 Step 1 - Identification of Sentences with Substance Abuse Events -- 4.2 Step 2 - Extraction of Entities for Substance Abuse Events -- 4.3 Step 3 - Event Template Creation -- 5 Results -- 5.1 Performance of Sentence and Entity Extraction Steps on the Training Set -- 5.2 Performance of the Event Extraction Pipeline on the Test Set -- 5.3 Error Analysis -- 6 Conclusion -- References -- Analyzing Perceived Intentions of Public Health-Related Communication on Twitter -- 1 Introduction -- 2 Related Work -- 3 Research Design -- 4 An Intention Taxonomy for Public Tweets -- 5 Discourse Features for Intention Discovery -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline -- Abstract -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 The Model -- 2.3 Evaluation Metrics -- 3 Results -- 4 Discussion and Conclusion -- References -- Numerical Eligibility Criteria in Clinical Protocols: Annotation, Automatic Detection and Interpretation -- 1 Introduction -- 2 Material -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features -- 1 Introduction -- 2 Vowel-Level Formant Analysis -- 3 Classification Experiments -- 3.1 Set-Up -- 3.2 Results -- 4 Conclusions -- References -- A Co-occurrence Based MedDRA Terminology Generation: Some Preliminary Results -- 1 Introduction -- 2 Background and Related Work.
3 Methods and Experiments.
Record Nr. UNINA-9910484595103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Artificial Intelligence in Music, Sound, Art and Design [[electronic resource] ] : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (238 pages) : illustrations
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer networks
Compilers (Computer programs)
Image processing—Digital techniques
Computer vision
Signal processing
Theory of Computation
Computer Communication Networks
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
ISBN 3-030-43859-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
Record Nr. UNISA-996418218203316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Artificial Intelligence in Music, Sound, Art and Design : 9th International Conference, EvoMUSART 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings / / edited by Juan Romero, Anikó Ekárt, Tiago Martins, João Correia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (238 pages) : illustrations
Disciplina 005.11
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Computer networks
Compilers (Computer programs)
Image processing - Digital techniques
Computer vision
Signal processing
Theory of Computation
Computer Communication Networks
Compilers and Interpreters
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
ISBN 3-030-43859-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A deep learning neural network for classifying good and bad photos -- Adapting and Enhancing Evolutionary Art for Casual Creation -- Comparing Fuzzy Rule Based Approaches for Music Genre Classification -- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles -- Emerging Technology System Evolution -- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition -- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms -- Portraits of No One: An Interactive Installation -- Understanding Aesthetic Evaluation with Deep Learning -- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture -- Objective Evaluation of Tonal Fitness for Chord Progressions -- Coevolving Artistic Images Using OMNIREP -- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music -- Controlling Self-Organization in Generative Creative Systems -- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
Record Nr. UNINA-9910409674303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui