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3D Printing of Pharmaceuticals and Drug Delivery Devices
| 3D Printing of Pharmaceuticals and Drug Delivery Devices |
| Autore | Lamprou Dimitrios A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (436 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
digital pharmacy
fused deposition modeling 3D printing modified drug release personalized medicines telemedicine three dimensional printing additive manufacturing 3D printed drug products printlets personalised medicines personalized pharmaceuticals multiple units spheroids beads acetaminophen 3D printing fused filament fabrication lignin antioxidant materials wound dressing modified release filament extrusion fused layer modeling theophylline high API load three-dimensional printing fixed-dose combinations tablets multiple-layer dosage forms stereolithography vat polymerisation fused deposition modeling polylactic acid chemical modification MTT assay biofilm formation warfarin semisolid extrusion 3D printing inkjet printing orodispersible film oral powder pediatric hospital pharmacy personalized medicine on-demand manufacturing drug delivery micromedicine drug development micro-swimmer micro-implant oral dosages microneedle high-precision targeting controlled release geometry resolution feature size release profile vascularization digital light processing technology neural networks optimization prediction FMD pregabalin gastric floating complex structures patient-specific structural design gums Fused Deposition Modeling 3D Printing processing parameters pharmaceutical quality control hot-melt extrusion solid dosage forms 3D printed oral dosage forms sustained drug release tablets photopolymerization paracetamol (acetaminophen) aspirin (acetylsalicylic acid) amorphous solid dispersion poor solubility fixed dose combination stencil printing pharmacoprinting orodispersible discs orodisperible films floating systems pulsatile release chronotherapeutic delivery wound-healing 3D bio-printing pectin propolis cyclodextrin 3D bio-inks fused deposition modelling extrusion vaginal meshes mechanical properties drug release anti-infective devices pelvic organ prolapse stress urinary incontinence gastro-retentive floating system dissolution kinetics implantable devices subcutaneous biodegradable prolonged drug delivery polymers pharmaceuticals extrusion-based 3D printing fused deposition modeling (FDM) pressure-assisted microsyringe (PAM) materials process 3D bioprinting polymeric ink pseudo-bone implantable scaffold computer-aided design (CAD) design bioprinting computer-aided design (CAD) pharmaceutics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557780703321 |
Lamprou Dimitrios A
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance
| Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance |
| Autore | Krzywanski Jaroslaw |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (260 p.) |
| Soggetto topico |
Technology: general issues
Chemical engineering |
| Soggetto non controllato |
adsorption chiller
coefficient of performance desalination energy efficiency low-temperature heat silica gel specific cooling power waste heat recovery sorption processes deep learning neural networks Long Short-Term Memory (LSTM) additives sorption capacity sorption process time kinetics sorption adsorption exergy dead state adsorption cooling reheat cycle, mass recovery chiller adsorptive water harvesting from the atmosphere metal-organic frameworks MIL-160 water vapor adsorption specific water productivity specific energy consumption zeolite SAPO-34 mass recovery variable mode adsorption working pairs coated beds comparative analysis natural refrigerants preheating steam copper cycle time CFD metal organic silica nanocomposites sorption thermal diffusivity |
| ISBN | 3-0365-5914-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Adsorption Desalination and Cooling Systems |
| Record Nr. | UNINA-9910637784303321 |
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Krzywanski Jaroslaw
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
| Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images |
| Autore | Bazi Yakoub |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (438 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
synthetic aperture radar
despeckling multi-scale LSTM sub-pixel high-resolution remote sensing imagery road extraction machine learning DenseUNet scene classification lifting scheme convolution CNN image classification deep features hand-crafted features Sinkhorn loss remote sensing text image matching triplet networks EfficientNets LSTM network convolutional neural network water identification water index semantic segmentation high-resolution remote sensing image pixel-wise classification result correction conditional random field (CRF) satellite object detection neural networks single-shot deep learning global convolution network feature fusion depthwise atrous convolution high-resolution representations ISPRS vaihingen Landsat-8 faster region-based convolutional neural network (FRCNN) single-shot multibox detector (SSD) super-resolution remote sensing imagery edge enhancement satellites open-set domain adaptation adversarial learning min-max entropy pareto ranking SAR Sentinel–1 Open Street Map U–Net desert road infrastructure mapping monitoring deep convolutional networks outline extraction misalignments nearest feature selector hyperspectral image classification two stream residual network Batch Normalization plant disease detection precision agriculture UAV multispectral images orthophotos registration 3D information orthophotos segmentation wildfire detection convolutional neural networks densenet generative adversarial networks CycleGAN data augmentation pavement markings visibility framework urban forests OUDN algorithm object-based high spatial resolution remote sensing Generative Adversarial Networks post-disaster building damage assessment anomaly detection Unmanned Aerial Vehicles (UAV) xBD feature engineering orthophoto unsupervised segmentation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557747903321 |
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Bazi Yakoub
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Process Monitoring for Industry 4.0
| Advanced Process Monitoring for Industry 4.0 |
| Autore | Reis Marco S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
spatial-temporal data
pasting process process image convolutional neural network Industry 4.0 auto machine learning failure mode effects analysis risk priority number rolling bearing condition monitoring classification OPTICS statistical process control control chart pattern disruptions disruption management fault diagnosis construction industry plaster production neural networks decision support systems expert systems failure mode and effects analysis (FMEA) discriminant analysis non-intrusive load monitoring load identification membrane data reconciliation real-time online monitoring Six Sigma multivariate data analysis latent variables models PCA PLS high-dimensional data statistical process monitoring artificial generation of variability data augmentation quality prediction continuous casting multiscale time series classification imbalanced data combustion optical sensors spectroscopy measurements signal detection digital processing principal component analysis curve resolution data mining semiconductor manufacturing quality control yield improvement fault detection process control multi-phase residual recursive model multi-mode model process monitoring |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557491503321 |
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Reis Marco S
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Techniques for Ground Penetrating Radar Imaging
| Advanced Techniques for Ground Penetrating Radar Imaging |
| Autore | López Yuri |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
Ground Penetrating Radar (GPR)
Unmanned Aerial Vehicles (UAVs) Synthetic Aperture Radar (SAR) Real Time Kinematic (RTK) Ultra-Wide-Band (UWB) landmine and IED detection non-destructive testing GPR coherence semblance attribute analysis imaging GPR trace high-resolution data large-scale survey archaeological prospection Ground-Penetrating Radar velocity analysis coherency functionals GPR data processing GPR data migration spatial-variant convolution neural network (SV-CNN) spatial-variant convolution kernel (SV-CK) radar image enhancing MIMO radar neural networks imaging radar ground penetrating radar wavelet scattering network machine learning support vector machine pipeline identification snow snow water equivalent (SWE) stepped-frequency continuous wave radar (SFCW) software defined radio (SDR) snowpack multilayer reflectance Ground Penetrating Radar Synthetic Aperture Radar landmine Improvised Explosive Device radar noise attenuation Gaussian spike impulse noise deep convolutional denoising autoencoders (CDAEs) deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO) applied geophysics digital signal processing enhancement of 3D-GPR datasets clutter noise removal spectral filtering ground-penetrating radar nondestructive testing pipelines detection modeling signal processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557337403321 |
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López Yuri
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advancement in Dietary Assessment and Self-Monitoring Using Technology
| Advancement in Dietary Assessment and Self-Monitoring Using Technology |
| Autore | Burrows Tracy |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (348 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
children
dietary assessment nutrients carbohydrate counting protein and fat counting calorie counting automatic bolus calculator voice description of meals insulin dosage glycemic control diabetes mellitus nutrition food measurement nutrient database energy intake validity reliability food frequency questionnaire web under-reporting over-reporting mobile applications adults nutritional science qualitative research mobile food record 24-h recall developmental disabilities spina bifida down syndrome technology pediatrics image-assisted method infant food record doubly labeled water nutritional application smartphone DGA dietary behaviors household food purchase behavior obesity overweight weight control mobile technologies Web-based technologies usability human factors Automated Self-Administered Dietary Assessment Tool (ASA24) 24-h dietary recall low socioeconomic status diet assessment food log recall diet apps recipe calculations nutrient retention dietary intake assessment technological innovations Type 2 diabetes mellitus diabetes management dietary application physical activity blood glucose mHealth sugar intakes dietary record East Asians chewing detection AIM neural networks food intake detection video annotation sensor validation diet assessment relative validity young adults apps mobile app fruits vegetables self-monitoring healthy diet shared plate eating lower middle income countries food energy estimation generative models generative adversarial networks image-to-energy mapping regressions eating activity detection hand-to-mouth movement wrist-mounted motion tracking sensor accelerometer gyroscope text messages type 2 diabetes diabetes self-care activities cardiovascular disease risk awareness food availability food choices |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557147403321 |
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Burrows Tracy
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advancements in Hydropower Design and Operation for Present and Future Electrical Demand
| Advancements in Hydropower Design and Operation for Present and Future Electrical Demand |
| Autore | Cimbala John M |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (102 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
community development
community ownership small hydropower SHP renewable energy crowdfunding FIT community-based business agricultural cooperative hydropower pumped hydro storage low-head counter-rotating pump-turbine transient sequences shutdown startup OpenFOAM CFD sand trap sediment transport particle multiphase hybrid power neural networks pumped-storage hydro solar photovoltaic pump turbine pump mode slight opening flow deflection dynamic meshing technique |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576880603321 |
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Cimbala John M
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
CIELab
component Substitution Pan sharpening Pléiades VHR Image coal inertinite macerals classification multifractal analysis support vector machine block-based coding video coding H.265/HEVC affine motion compensation image registration homography matrix local homography transformation convolutional neural network moving direct linear transformation super-resolution (SR) convolution neural network (CNN) Gene Expression Programming (GEP) deep learning image preclassification suspicious behavior detection motion magnitude gradient reactivity saliency haze removal dark channel atmospheric-light estimation coarse-to-fine search strategy sparse dictionary stable recovery frame RIP local dimming retinex theory bi-histogram equalization contrast ratio details preservation pansharpening image fusion image quality Satellite Pour l'Observation de la Terre (SPOT) 6 spectral consistency spatial consistency synthesis artificial intelligence dental application images detection parseval frame transform sparse representation octave convolution bilingual scene text reading Ethiopic script attention nasal cytology automatic cell segmentation rhinology image analysis feature extraction shape context plant recognition DPCNN BOF numeral spotting historical document analysis convolutional neural networks deep transfer learning handwritten digit recognition spectrum correction intensity correction compressed sensing tradeoff process IKONOS remote sensing fine-tuning learning rate scheduler cyclical learning rates label smoothing classification accuracy neural networks salient object detection RGB-D object detection small object multi-scale sampling balanced sampling texture structure optical coke iron ore sinter image processing segmentation identification action recognition silhouette sequences shape features ambient assisted living active ageing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
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Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNINA-9910404119303321 |
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Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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