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[null,"1.","Record Nr.",null,"UNISA996465421203316"]
[null,null,"Titolo",null,"Evolvable Systems: From Biology to Hardware [[electronic resource] ] : First International Conference, ICES '96, Tsukuba, Japan, October 7 - 8, 1996, Revised Papers / / edited by Tetsuya Higuchi, Masaya Iwata, Liu Weixin"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997"]
[null,null,"ISBN",null,"3-540-69204-5"]
[null,null,"Edizione",null,"[1st ed. 1997.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIII, 491 p.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 0302-9743 ; ; 1259"]
[null,null,"Disciplina",null,"621.39/2"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Architecture, Computer"]
[{"$nulls":4},"Logic design"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Computer simulation"]
[{"$nulls":4},"Bioinformatics "]
[{"$nulls":4},"Computational biology "]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer System Implementation"]
[{"$nulls":4},"Logic Design"]
[{"$nulls":4},"Computation by Abstract Devices"]
[{"$nulls":4},"Simulation and Modeling"]
[{"$nulls":4},"Computer Appl. in Life Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Iconic learning in networks of logical neurons -- Hardware requirements for fast evaluation of functions learned by Adaptive Logic Networks -- FPGA as a key component for reconfigurable system -- Phylogeny, ontogeny, and epigenesis: Three sources of biological inspiration for softening hardware -- Promises and challenges of Evolvable hardware -- Designing evolware by cellular programming -- Online autonomous evolware -- Speeding-up digital ecologies evolution using a hardware emulator: Preliminary results -- Challenges of evolvable systems: Analysis and future directions -- Functional organisms growing on silicon -- Logical universality and self-"]
[{"$nulls":4},"reproduction in reversible cellular automata -- Data compression based on Evolvable hardware -- ATM cell scheduling by function level evolvable hardware -- An evolutionary robot navigation system using a gate-level evolvable hardware -- Genetic evolution of a logic circuit which controls an autonomous mobile robot -- Autonomous robot with evolving algorithm based on biological systems -- Memory-based neural network and its application to a mobile robot with evolutionary and experience learning -- Multiple genetic algorithm processor for hardware optimization -- NGEN: A massively parallel reconfigurable computer for biological simulation: Towards a self-organizing computer -- Architecture of cell array neuro-processor -- Special-purpose brainware architecture for data processing -- Evolvable Hardware: An outlook -- Reuse, parameterized reuse, and hierarchical reuse of substructures in evolving electrical circuits using genetic programming -- Machine learning approach to gate-level Evolvable Hardware -- Evolvable systems in hardware design: Taxonomy, survey and applications -- From some tasks to biology and then to hardware -- Adaptive equalization of digital communication channels using Evolvable Hardware -- An evolved circuit, intrinsic in silicon, entwined with physics -- Through the labyrinth evolution finds a way: A silicon ridge -- Hardware evolution system introducing dominant and recessive heredity -- CAM-Brain: A new model for atr's cellular automata based artificial brain project -- Evolution of a 60 decibel op amp using genetic programming -- Evolution of binary decision diagrams for digital circuit design using genetic programming."]
[null,null,null,"Sommario/riassunto","This book constitutes the strictly refereed post-conference proceedings recording the scientific progress achieved at the First International Conference on Evolvable Systems: From Biology to Hardware, ICES'96, held in Tsukuba, Japan, in October 1996. The volume presents 33 revised full papers including several invited contributions surveying the state of the art in this emerging area of research and development. The volume is divided into topical sections on evolware, cellular systems, engineering applications of evolvable hardware systems, evolutionary robotics, innovative architectures, evolvable systems, evolvable hardware, and genetic programming."]
[null,"2.","Record Nr.",null,"UNINA9910349272903321"]
[null,null,"Titolo",null,"Predictive Intelligence in Medicine : Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Islem Rekik, Ehsan Adeli, Sang Hyun Park"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-32281-5"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XIII, 178 p. 58 illus., 48 illus. in color.)"]
[null,null,"Collana",null,"Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 11843"]
[null,null,"Disciplina",null,"610.28563"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Probability and Statistics in Computer Science"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data -- Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study -- Adaptive Neuro-Fuzzy Inference System-based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-state fMRI -- Deep Learning via Fused Bidirectional Attention Stacked Long Short-term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening -- Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning -- Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI -- Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample "]
[{"$nulls":4},"Selection -- Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer using a Non-Proportional Hazards Model -- 7 years of Developing Seed Techniques for Alzheimer's Disease Diagnosis using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis -- Generative Adversarial Irregularity Detection in Mammography Images -- Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification From a Source Graph -- Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-Resolution Neighborhoods -- Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks -- Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment -- Diagnosis of Parkinsons Disease in Genetic Cohort Patients via Stage-wise Hierarchical Deep Polynomial Ensemble learning -- Automatic Detection of Bowel Disease with Residual Networks -- Support Vector based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimers Disease -- Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks."]
[null,null,null,"Sommario/riassunto","This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. ."]