10141nam 2200517 450 99646439520331620231110220450.03-030-85713-1(CKB)4100000012026211(MiAaPQ)EBC6725911(Au-PeEL)EBL6725911(OCoLC)1268259275(PPN)258051167(EXLCZ)99410000001202621120220616d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in artificial intelligence 15th conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013 Madrid, Spain, September 17-20, 2013, proceedings /edited by Enrique Alba [and nine others]Cham, Switzerland :Springer,[2021]©20211 online resource (280 pages)Lecture Notes in Computer Science ;v.128823-030-85712-3 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Machine Learning -- Prediction of Epiretinal Membrane from Retinal Fundus Images Using Deep Learning -- 1 Introduction -- 2 Dataset -- 3 Training Procedures -- 4 Results and Discussion -- 5 Interpretability Considerations -- 6 Conclusions and Further Work -- References -- LabelDetection: Simplifying the Use and Construction of Deep Detection Models -- 1 Introduction -- 2 Background -- 2.1 Object Detection Libraries -- 2.2 Test-Time Augmentation -- 2.3 Data Distillation -- 3 LabelDetection -- 3.1 LabelDetection for Training Models -- 3.2 LabelDetection for Object Detection -- 4 Case Study -- 5 Conclusions and Further Work -- References -- A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent -- 1 Introduction -- 2 Background -- 3 The Planning and Acting Architecture -- 4 Goal Selection Learning -- 5 Experiments and Analysis of Results -- 6 Related Work -- 7 Conclusions and Future Work -- References -- ReLU-Based Activations: Analysis and Experimental Study for Deep Learning -- 1 Introduction -- 2 ReLU-Based Activation Functions -- 2.1 Leaky Rectified Linear Unit -- 2.2 Parametric Rectified Linear Unit -- 2.3 Elastic Rectified Linear Unit -- 2.4 Randomised Leaky Rectified Linear Unit -- 2.5 Sloped Rectified Linear Unit -- 2.6 Paired Rectified Linear Unit -- 2.7 Randomly Translational Rectified Linear Unit -- 3 Design of the Experiments -- 3.1 Datasets -- 3.2 Model and Training Process -- 4 Results and Analysis -- 5 Conclusions -- References -- Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification -- 1 Introduction -- 2 Background -- 2.1 Time Series -- 2.2 Effect of the Lp Norm -- 3 Experimental Results and Discussion -- 3.1 Experimental Settings -- 3.2 Experimental Results -- 4 Conclusions.References -- STree: A Single Multi-class Oblique Decision Tree Based on Support Vector Machines -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: STree -- 4 Experimental Evaluation -- 4.1 Benchmark -- 4.2 Algorithms -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Deep Reinforcement and Imitation Learning for Self-driving Tasks -- 1 Introduction -- 2 Background -- 3 Setup -- 3.1 Simulation and Sensors -- 3.2 Computer Vision System -- 3.3 Human Expert Demonstrations -- 3.4 AI Agents -- 4 Experiments -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusions -- References -- Human Activity Recognition with Capsule Networks -- 1 Introduction -- 2 Related Work -- 3 HAR Capsules -- 3.1 Sequence Cutting -- 3.2 Image Embedding -- 3.3 Capsule Network -- 4 Experiments -- 4.1 Data Sets -- 4.2 Results and Discussion -- 5 Conclusions -- References -- Towards Fairness in Classification: Comparison of Methods to Decrease Bias -- 1 Introduction -- 2 Background -- 3 Selected Methods -- 3.1 Decoupled Classifiers -- 3.2 Fairness Constraints -- 3.3 Adversarial Learning -- 4 Fairness Metrics -- 5 Experimental Setup -- 5.1 Databases -- 5.2 Classifier Implementation -- 5.3 Performance Measuring -- 6 Results -- 7 Conclusions -- References -- Hypothesis Scoring and Model Refinement Strategies for FM-Based RANSAC -- 1 Introduction -- 2 Overview of RANSAC and Some Variants -- 3 On Fuzzy Metrics and RANSAC -- 4 FM-Based RANSAC -- 5 Experimental Results -- 5.1 Experimental Setup -- 5.2 Results and Discussion -- 6 Conclusions -- References -- Evaluation of the Transformer Architecture for Univariate Time Series Forecasting -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Attention-Based Deep Neural Network -- 3.2 Experimental Study -- 4 Results and Discussion -- 4.1 Forecasting Accuracy -- 4.2 Computation Time -- 5 Conclusions.References -- Optimization and Search -- Automatic Generation of Interrelated Organisms on Virtual Environments -- 1 Introduction -- 2 Related Works -- 3 Automatic Generation of Interrelated Organisms -- 3.1 Overall Description -- 3.2 Representation: Morphology and Parameters -- 3.3 Evolutionary Operators -- 3.4 Fitness Evaluation -- 3.5 Species Exploration -- 3.6 Output -- 4 Experimental Evaluation -- 4.1 Methodology and Experiments -- 4.2 Parameters Setting -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Asynchronous Vector Iteration in Multi-objective Markov Decision Processes -- 1 Introduction -- 2 Antecedents -- 3 Algorithms -- 4 Experimental Results and Discussion -- 5 Conclusions and Future Work -- References -- Influence of the Alternative Objective Functions in the Optimization of the Cyclic Cutwidth Minimization Problem -- 1 Introduction -- 2 Alternative Evaluation Functions for the CCMP -- 3 Algorithmic Evaluation Strategy -- 4 Experimental Results -- 5 Conclusions -- References -- A Similarity Measure of Gaussian Process Predictive Distributions -- 1 Introduction -- 2 Gaussian Processes -- 3 The Similarity Measure -- 4 Experiments -- 5 Conclusions -- References -- Towards Automatic Bayesian Optimization: A First Step Involving Acquisition Functions -- 1 Introduction -- 2 BO Issues for Automatic Optimization -- 3 Heuristic Driven Bayesian Optimization -- 4 Experiments -- 4.1 Benchmark Experiments -- 4.2 Real Experiment -- 5 Conclusions and Further Work -- References -- Solving the Permutation Heijunka Flow Shop Scheduling Problem with Non-unit Demands for Jobs -- 1 Preliminaries -- 2 Heijunka Fm/prmu/Cmax /di -- 3 MS-LS: A metaheuristic for Heijunka Fm/prmu/Cmax /di -- 3.1 Phase 1: Multi-start for the Construction of a Quota Sequence -- 3.2 Phase 2: Improvement of the Quota Sequence Through Local Search.4 Case Study: Nissan BCN Engine Plant -- 5 Conclusions -- References -- Real-World Applications -- Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Experimental Results -- 4.1 Dataset and Experimental Setup -- 4.2 Results -- 5 Conclusions -- References -- Towards Combining Object Detection and Text Classification Models for Form Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 FUNSD Dataset -- 4 Vision Models for Detecting Form Entities -- 5 Text Classification of Form Entities -- 6 Conclusions and Further Work -- References -- A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities -- 1 Introduction -- 2 Related Work -- 2.1 Detection of Non-inclusive Needs in Smart Cities -- 2.2 Analysis of the Information Collected from the Citizen Interaction -- 3 DColbici3: Collaborative Platform for the Identification of Non-inclusive Situations in Smart Cities -- 3.1 Design of Visual Novels as a Collaborative Platform -- 3.2 NLP for Collaborative Information Analysis -- 3.3 Experimental Set-Up -- 3.4 Results -- 4 Conclusions and Future Work -- References -- Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 4.1 Dataset Description -- 4.2 Experimental Setting -- 4.3 Analysis of Results -- 5 Conclusions -- References -- Recognition of Teaching Activities from University Lecture Transcriptions -- 1 Introduction -- 2 Spoken Academic Lecture -- 3 Data Segmentation and Labeling -- 3.1 Academic Labels -- 4 Text Classification -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Train Route Planning as a Multi-agent Path Finding Problem -- 1 Introduction -- 2 Problem Definition.3 Graph Representation of the Railway Network -- 4 The trtp as a mapf Problem -- 5 Evaluation -- 6 Conclusions and Future Work -- References -- Citizen Centric Optimal Electric Vehicle Charging Stations Locations in a Full City: Case of Malaga -- 1 Introduction -- 2 Efficient Full City EV Charging Station Locations -- 3 Metaheuristics for Efficient EV-CSL -- 3.1 Algorithms -- 3.2 Implementation Details -- 4 Experimental Settings -- 4.1 Scenarios -- 4.2 Implementation and Hardware Platform -- 4.3 Parameter Settings -- 5 Experimental Analysis -- 5.1 Optimization Results Comparison -- 5.2 Improvement on Travel Distance over the Real Layout of Stations -- 6 Conclusion -- References -- Modeling Administrative Discretion Using Goal-Directed Answer Set Programming -- 1 Introduction -- 2 Goal-Directed Answer Set Programming -- 3 Administrative and Judicial Discretion Reasoner -- 3.1 Patterns to Translate Law into ASP -- 3.2 Description of s(LAW) -- 4 Reasoning and Deduction with Real Use-Cases -- 5 Related Work -- 6 Conclusions -- References -- Author Index.Lecture Notes in Computer Science Information storage and retrieval systemsComputer scienceInformation storage and retrieval systems.Computer science.006.3Alba EnriqueMiAaPQMiAaPQMiAaPQBOOK996464395203316Advances in Artificial Intelligence772131UNISA04422nam 22005775 450 991027957900332120200706053824.04-431-56603-110.1007/978-4-431-56603-8(CKB)3840000000348063(MiAaPQ)EBC5287194(DE-He213)978-4-431-56603-8(PPN)22463691X(EXLCZ)99384000000034806320180208d2017 u| 0engurcnu||||||||rdacontentrdamediardacarrierEvolution of the Human Genome I The Genome and Genes /edited by Naruya Saitou1st ed. 2017.Tokyo :Springer Japan :Imprint: Springer,2017.1 online resource (305 pages) illustrationsEvolutionary Studies,2509-484X4-431-56601-5 Includes bibliographical references at the end of each chapters and index.Preface -- Part I: Overview of the Human Genome -- Chapter 1: Human evolution and human genome at a glance -- Chapter 2: Rubbish DNA: The functionless fraction of the human genome -- Chapter 3: GC content heterogeneity -- Chapter 4: Protein-coding and non-coding RNA genes -- Chapter 5: Duplicated genes -- Chapter 6: Recombination.-Chapter 7: CNVs and microsatellite DNA polymorphism.-Part II: The Human Genome Viewed through Genes.-Chapter 8: Genes on X and Y chromosomes -- Chapter 9: Human Leukocyte Antigen (HLA) region in human population studies.-Chapter 10: Evolution of genes for color vision and the chemical senses in primates.-Chapter 11: Global landscapes of human phenotypic variation in inherited traits -- Chapter 12: Transcription factor genes -- Chapter 13: Genetics of diabetes: are they thrifty genotype? -- Chapter 14: Disease-related genes from population genetic aspect and their functional significance -- Chapter 15: Microbe genomes associated with human body.-Index.This book reviews the human genome from an evolutionary perspective. No such book has ever been published before, although there are many books on human genomes. There are two parts in this book: Overview of the Human Genome (Part I) and The Human Genome Viewed through Genes (Part II). In Part I, after a brief review of human evolution and the human genome (by Naruya Saitou), chapters on rubbish or junk DNA (by Dan Graur), GC content heterogeneity (by Satoshi Oota), protein coding and RNA coding genes (by Tadashi Imanishi), duplicated genes (by Takashi Kitano), recombinations (by Montanucci and Bertranpetit), and copy number variations including microsatellites (by Naoko Takezaki) are discussed. Readers can obtain various new insights on the human genome from this part. In Part II, genes in X and Y chromosomes (by Yoko Satta and others), HLA genes (by Timothy A. Jinam), opsin genes (by Shoji Kawamura and Amanda D. Melin), genes related to phenotypic variations (by Ryosuke Kimura), transcription factors (by Mahoko Takahashi and So Nakagawa), diabetes-related genes (by Ituro Inoue), disease genes in general (by Ituro Inoue and Hirofumi Nakaoka), and microbial genomes (by Chaochun Wei) are discussed. The human genome sequences were determined in 2004, and after more than 10 years we are now beginning to understand the human genome from an evolutionary point of view. This book furnishes readers with a good summary of current research in the field.Evolutionary Studies,2509-484XEvolution (Biology)Human geneticsAnthropologyEvolutionary Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L21001Human Geneticshttps://scigraph.springernature.com/ontologies/product-market-codes/B12008Anthropologyhttps://scigraph.springernature.com/ontologies/product-market-codes/X12000Evolution (Biology)Human genetics.Anthropology.Evolutionary Biology.Human Genetics.Anthropology.611.01816Saitou Naruyaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910279579003321Evolution of the Human Genome I2084613UNINA