LEADER 05132nam 22005413u 450 001 9910463245903321 005 20210107000916.0 010 $a0-19-985678-8 035 $a(CKB)2670000000397217 035 $a(EBL)1286287 035 $a(OCoLC)853362795 035 $a(MiAaPQ)EBC1286287 035 $a(EXLCZ)992670000000397217 100 $a20140113d2013|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 200 10$aTeaching Music to Students with Autism$b[electronic resource] 210 $aOxford $cOxford University Press, USA$d2013 215 $a1 online resource (187 p.) 300 $aDescription based upon print version of record. 311 $a0-19-985676-1 327 $aCover; Contents; Foreword; Preface; Acknowledgments; 1. What Is Autism Spectrum Disorder? An Explanation of the Diagnosis; Autism Spectrum Disorders: Diagnostic Information; Change in Diagnostic Criteria; Characteristics or Features of Autism Spectrum Disorder; How Do I Know I Am Teaching a Student with Autism Spectrum Disorder?; Early Intervention; Typical Interventions and Treatment Models; Applied Behavior Analysis and Discrete Trial Training; Treatment and Education of Autistic and Related Communication-Handicapped Children (TEACCH) Curriculum; DIR/Floortime; Cognitive Coaching 327 $aSocial StoriesConclusion; References; Discussion Questions; 2. A Team Approach to Teaching Music to Students with Autism Spectrum Disorder; Learning about Your Student(s) with Autism Spectrum Disorder; Learning about Other Educators, Therapists, and Professionals in the District; Building Relationships with Parents; Building Relationships with Other Staff Members; Administrative Support; Participation in Meetings; Understanding the Least Restrictive Environment and a Student with Autism Spectrum Disorder; Student Profile Revisited; Questions for the IEP/504 Meeting; Conclusion; References 327 $aDiscussion Questions and Suggested Activities3. Understanding Communication and Students with Autism Spectrum Disorder; Unique Communication Characteristics of Persons with Autism; Complications with Eye Gaze or Eye Contact; Eye Contact and Theory of Mind; Inattentiveness and Eye Contact; Echolalia; Joint Attention; Reciprocation; Receptive and Expressive Language Skills; Receptive Language; Expressive Language Development (Cause and Effect); Strategies for Music Educators in Expressive and Receptive Language; Steps to Affective Communication with Students with Autism in the Music Classroom 327 $aStep 1: Establish Eye ContactStep 2: Encourage Joint Attention; Step 3: Encourage Reciprocation; Augmentative and Alternative Communication for Students with Autism; Communication Interruptions (a Failure to Communicate); Social Stories; Conclusion; References; Discussion Questions; 4. Understanding Cognition and Students with Autism Spectrum Disorder; Theory of Mind and Cognition; Weak Central Coherence; Strategies for Assisting with Central Coherence Challenges; Executive Function; Joint Attention (as It Relates to Cognition) 327 $aMusical Cognition, Perception, and Response in Students with AutismConclusion; References; Discussion Questions; 5. Classroom Behavior and Students with Autism; Child Behavior Development and Students with Autism; Understanding Applied Behavior Analysis and Discrete Trial Training; Outbursts, Meltdowns, and Other Disruptions; The Antecedent; The Behavior; The Consequence; Odd or Repetitive Behavior; Behavior and Communication; Schedule, Routine, and the Link with Behavior; Creating a Behavior Plan for a Student with Autism; Social Skills and Behavior; Related Medical Issues and Behavior 327 $aConclusion: Assessment of Behavior (Taking Data for the IEP) 330 $aTeaching Music to Students with Autism is a comprehensive resource for everyone who works with students with autism within the music classroom. The authors focus on understanding autism, advocating for students and music programs, and creating and maintaining a team approach by working together with colleagues effectively. A significant portion of the book is focused on understanding and overcoming the communication, cognition, behavior, sensory, and socialization challenges inherent in working with students with autism. The authors suggest ways to structure classroom experiences and learning 606 $aAutistic children -- Education 606 $aChildren with autism spectrum disorders -- Education 606 $aMusic -- Instruction and study 606 $aSpecial education 608 $aElectronic books. 615 4$aAutistic children -- Education. 615 4$aChildren with autism spectrum disorders -- Education. 615 4$aMusic -- Instruction and study. 615 4$aSpecial education. 676 $a371.94 676 $a616.89/1654 700 $aHammel$b Alice M$0978458 701 $aHourigan$b Ryan M$0904274 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910463245903321 996 $aTeaching Music to Students with Autism$92229896 997 $aUNINA LEADER 05174nam 2200565 450 001 996495169103316 005 20230417135551.0 010 $a3-031-12402-2 035 $a(MiAaPQ)EBC7119942 035 $a(Au-PeEL)EBL7119942 035 $a(CKB)25179515000041 035 $a(PPN)265862787 035 $a(EXLCZ)9925179515000041 100 $a20230306h20222022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aInterpretability for Industry 4.0 $estatistical and machine learning approaches /$fAntonio Lepore, Biagio Palumbo, Jean-Michel Poggi, editors 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (130 pages) $cillustrations 311 08$aPrint version: Lepore, Antonio Interpretability for Industry 4. 0 : Statistical and Machine Learning Approaches Cham : Springer International Publishing AG,c2022 9783031124013 320 $aIncludes bibliographical references. 320 $aIncludes bibliographical references. 327 $aIntro -- Preface -- Contents -- 1 Different Views of Interpretability -- 1.1 Introduction -- 1.2 Interpretability: In Praise of Transparent Models -- 1.2.1 What Happened? -- 1.2.2 What Will Happen? -- 1.2.3 What Shall be Done to Make It Happen? -- 1.2.4 Patterns and Models -- 1.3 Generalizability and Interpretability with Industry 4.0 Implications -- 1.3.1 Introduction to Interpretable AI -- 1.3.2 A Wide Angle Perspective of Generalizability -- 1.3.3 Statistical Generalizability -- 1.4 Connections Between Interpretability in Machine Learning and Sensitivity Analysis of Model Outputs -- 1.4.1 Machine Learning and Uncertainty Quantification -- 1.4.2 Basics on Sensitivity Analysis and Its Main Settings -- 1.4.3 A Brief Taxonomy of Interpretability in Machine Learning -- 1.4.4 A Review of Sensitivity Analysis Powered Interpretability Methods -- References -- 2 Model Interpretability, Explainability and Trust for Manufacturing 4.0 -- 2.1 Manufacturing 4.0: Driving Trends for Data Mining -- 2.1.1 Process Monitoring in Manufacturing 4.0 -- 2.1.2 Design of Experiments in Manufacturing 4.0 -- 2.1.3 Increasing Trust in AI Models for Manufacturing 4.0: Interpretability, Explainability and Robustness -- 2.2 Additive Manufacturing as a Paradigmatic Example of Manufacturing 4.0 -- 2.3 Increase Trust in Additive Manufacturing: Robust Functional Analysis of Variance in Video-Image Analysis -- 2.3.1 The RoFANOVA Approach -- 2.3.2 An Additive Manufacturing Application -- References -- 3 Interpretability via Random Forests -- 3.1 Introduction -- 3.2 Interpretable Rule-Based Models -- 3.2.1 Literature Review -- 3.2.1.1 Definitions and Origins of Rule Models -- 3.2.1.2 Decision Trees -- 3.2.1.3 Tree-Based Rule Learning -- 3.2.1.4 Modern Rule Learning -- 3.2.2 SIRUS: Stable and Interpretable RUle Set -- 3.2.2.1 SIRUS Algorithm -- 3.2.2.2 Theoretical Analysis. 327 $a3.2.2.3 Experiments -- 3.2.3 Discussion -- 3.3 Post-Processing of Black-Box Algorithms via Variable Importance -- 3.3.1 Literature Review -- 3.3.1.1 Model-Specific Variable Importance -- 3.3.1.2 Global Sensitivity Analysis -- 3.3.1.3 Local Interpretability -- 3.3.2 Sobol-MDA -- 3.3.2.1 Sobol-MDA Algorithm -- 3.3.2.2 Sobol-MDA Properties -- 3.3.2.3 Experiments -- 3.3.3 SHAFF: SHApley eFfects Estimates via Random Forests -- 3.3.3.1 SHAFF Algorithm -- 3.3.3.2 SHAFF Consistency -- 3.3.3.3 Experiments -- 3.3.4 Discussion -- References -- 4 Interpretability in Generalized Additive Models -- 4.1 GAMs: A Basic Framework for Flexible Interpretable Regression -- 4.1.1 Flexibility Can Be Important -- 4.1.2 Making the Model Computable -- 4.1.3 Estimation and Inference -- 4.1.4 Checking, Effective Degrees of Freedom and Model Selection -- 4.1.5 GAM Computation with mgcv in R -- 4.1.6 Smooths of Several Predictors -- 4.1.7 Further Interpretable Structure -- 4.2 From GAM to GAMLSS: Interpretability for Model Building -- 4.2.1 GAMLSS Modelling of UK Aggregate Electricity Demand -- 4.2.1.1 Data Overview and Pre-processing -- 4.2.1.2 Interactive GAMLSS Model Building -- 4.3 From GAMs to Aggregations of Experts, Are We Still Interpretable? -- 4.3.1 Online Forecasting with Online Aggregation of Experts -- 4.3.2 Visualizing the Black Boxes -- References. 606 $aIndustry 4.0 606 $aMachine learning$xIndustrial applications 606 $aIndustry 4.0$xStatistical methods 606 $aAprenentatge automàtic$2thub 606 $aAplicacions industrials$2thub 608 $aLlibres electrònics$2thub 615 0$aIndustry 4.0. 615 0$aMachine learning$xIndustrial applications. 615 0$aIndustry 4.0$xStatistical methods. 615 7$aAprenentatge automàtic 615 7$aAplicacions industrials 676 $a658.4038028563 702 $aLepore$b Antonio 702 $aPalumbo$b Biagio 702 $aPoggi$b Jean-Michel$f1960- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996495169103316 996 $aInterpretability for Industry 4.0$93057349 997 $aUNISA LEADER 02922oam 22005534a 450 001 9910286426803321 005 20230621141350.0 010 $a84-921088-9-4 035 $a(CKB)4100000006673645 035 $a(OCoLC)1054245882 035 $a(MdBmJHUP)muse84662 035 $a(WaSeSS)IndRDA00125369 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/89980 035 $a(oapen)doab89980 035 $a(EXLCZ)994100000006673645 100 $a19981020d1998 uy 0 101 0 $aspa 135 $aur|||||||nn|n 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aLos refugiados españoles y la cultura mexicana$eactas de las primeras jornadas celebradas en la Residencia de Estudiantes en noviembre de 1994 /$fJose Luis Abella?n... [et al.] 205 $a1. ed. 210 $cEl Colegio de México$d1998 210 1$aMadrid :$cAmigos de la Residencia de Estudiantes,$d1998. 210 4$d©1998. 215 $a1 online resource (160 p.) 320 $aIncludes bibliographical references and index. 330 $aEste libro recoge las ponencias presentadas en las primeras jornadas sobre "Los refugiados españoles y la cultura mexicana", celebradas los días 14 y 15 de noviembre de 1994 en la Residencia de Estudiantes. El encuentro de protagonistas y estudiosos del exilio español de 1939 en México fue organizado conjuntamente por la Residencia y El Colegio de México, cuya estrecha relación ha tenido mucho que ver con el tema de las jornadas, idóneo, por tanto, para inaugurar la colaboración formal entre ambas entidades. Esta colaboración se ha visto posteriormente reforzada con la firma de un convenio entre El Colegio y la Residencia, que, entre otros objetivos comunes, establece la continuidad de los encuentros y prevé su celebración periódica, alternando la sede de los mismos entre la Residencia y El Colegio. 606 $aPolitical refugees$zMexico$xCongresses 606 $aPolitical refugees$zSpain$xCongresses 606 $aSpaniards$zMexico$xIntellectual life$y20th century$xCongresses 607 $aMexico$xCivilization$xSpanish influences$xCongresses 607 $aSpain$xHistory$yCivil War, 1936-1939$xRefugees$xCongresses 607 $aMexico$xIntellectual life$y20th century$xCongresses 608 $aElectronic books. 615 0$aPolitical refugees$xCongresses. 615 0$aPolitical refugees$xCongresses. 615 0$aSpaniards$xIntellectual life$xCongresses. 676 $a946.0811 700 $asobre los Refugiados Españoles y la Cultura Mexicana$b Jornadas$4auth$01738030 701 $aAbella?n$b Jose Luis$0386659 712 02$aResidencia de Estudiantes (Madrid, Spain) 801 0$bMdBmJHUP 801 1$bMdBmJHUP 906 $aBOOK 912 $a9910286426803321 996 $aLos refugiados españoles y la cultura mexicana$94425473 997 $aUNINA