Advances in Artificial Intelligence: Models, Optimization, and Machine Learning |
Autore | Leon Florin |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (362 p.) |
Soggetto topico |
Research & information: general
Mathematics & science |
Soggetto non controllato |
large margin nearest neighbor regression
distance metrics prototypes evolutionary algorithm approximate differential optimization multiple point hill climbing adaptive sampling free radical polymerization autonomous driving object tracking trajectory prediction deep neural networks stochastic methods applied machine learning classification and regression data mining ensemble model engineering informatics gender-based violence in Mexico twitter messages class imbalance k-nearest neighbor instance-based learning graph neural network deep learning hyperparameters machine learning optimization inference metaheuristics animal-inspired exploration exploitation hot rolled strip steel surface defects defect classification knockout tournament dynamic programming algorithm computational complexity combinatorics intelligent transport systems traffic control spatial-temporal variable speed limit multi-agent systems reinforcement learning distributed W-learning urban motorways multi-agent framework NET framework simulations agent-based systems agent algorithms software design multisensory fingerprint interoperability DeepFKTNet classification generative adversarial networks image classification transfer learning plastic bottle |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Advances in Artificial Intelligence |
Record Nr. | UNINA-9910580212403321 |
Leon Florin | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automated Deduction - CADE 28 [[electronic resource] ] : 28th International Conference on Automated Deduction, Virtual Event, July 12-15, 2021, Proceedings |
Autore | Platzer André |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
Descrizione fisica | 1 online resource (655 p.) |
Altri autori (Persone) | SutcliffeGeoff |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence
Mathematical theory of computation Computer programming / software development Software Engineering |
Soggetto non controllato |
Artificial Intelligence
Mathematical Logic and Formal Languages Logics and Meanings of Programs Software Engineering Formal Languages and Automata Theory Computer Science Logic and Foundations of Programming automata theory boolean functions computer programming first order logic formal languages formal logic logic programming model checking program verification semantics software architecture software design software quality software verification theorem provers theorem proving Mathematical theory of computation Computer programming / software engineering Computer architecture & logic design |
ISBN | 3-030-79876-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
Automated Deduction â CADE 28
Automated Deduction - CADE 28 |
Record Nr. | UNINA-9910491025703321 |
Platzer André | ||
Cham, : Springer International Publishing AG, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automated Deduction - CADE 28 [[electronic resource] ] : 28th International Conference on Automated Deduction, Virtual Event, July 12-15, 2021, Proceedings |
Autore | Platzer André |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
Descrizione fisica | 1 online resource (655 p.) |
Altri autori (Persone) | SutcliffeGeoff |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence
Mathematical theory of computation Computer programming / software development Software Engineering |
Soggetto non controllato |
Artificial Intelligence
Mathematical Logic and Formal Languages Logics and Meanings of Programs Software Engineering Formal Languages and Automata Theory Computer Science Logic and Foundations of Programming automata theory boolean functions computer programming first order logic formal languages formal logic logic programming model checking program verification semantics software architecture software design software quality software verification theorem provers theorem proving Mathematical theory of computation Computer programming / software engineering Computer architecture & logic design |
ISBN | 3-030-79876-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti |
Automated Deduction â CADE 28
Automated Deduction - CADE 28 |
Record Nr. | UNISA-996464423903316 |
Platzer André | ||
Cham, : Springer International Publishing AG, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Automated reasoning : 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022, Proceedings / / editors, Jasmin Blanchette, Laura Kovács, Dirk Pattinson |
Autore | Blanchette Jasmin |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xv, 756 pages) : illustrations (some color) |
Disciplina | 006.333 |
Altri autori (Persone) |
BlanchetteJasmin
KovácsLaura PattinsonDirk <1970-> |
Collana | Lecture notes in computer science |
Soggetto topico |
Automatic theorem proving
Computer logic |
Soggetto non controllato |
artificial intelligence
automata theory computer hardware computer networks computer programming computer systems embedded systems formal languages formal logic logic programming network protocols semantics software architecture software design software engineering theoretical computer science |
ISBN | 3-031-10769-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910585785003321 |
Blanchette Jasmin | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Automated reasoning : 11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8-10, 2022, Proceedings / / editors, Jasmin Blanchette, Laura Kovács, Dirk Pattinson |
Autore | Blanchette Jasmin |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (xv, 756 pages) : illustrations (some color) |
Disciplina | 006.333 |
Altri autori (Persone) |
BlanchetteJasmin
KovácsLaura PattinsonDirk <1970-> |
Collana | Lecture notes in computer science |
Soggetto topico |
Automatic theorem proving
Computer logic |
Soggetto non controllato |
artificial intelligence
automata theory computer hardware computer networks computer programming computer systems embedded systems formal languages formal logic logic programming network protocols semantics software architecture software design software engineering theoretical computer science |
ISBN | 3-031-10769-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996483156703316 |
Blanchette Jasmin | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas |
Autore | Crimi Alessandro |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (XXI, 489 p. 171 illus., 134 illus. in color.) |
Disciplina | 006.37 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer vision
Artificial intelligence Computer engineering Computer networks Application software Computer Vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications |
Soggetto non controllato |
artificial intelligence
bioinformatics computer science computer systems computer vision education image analysis image processing image segmentation learning machine learning medical images neural networks pattern recognition segmentation methods software design software engineering software quality validation verification and validation |
ISBN | 3-031-08999-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Supervoxel Merging towards Brain Tumor Segmentation -- Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma -- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks -- Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task -- Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation -- BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance -- Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism -- Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans -- MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation -- Unsupervised Multimodal -- HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation -- Multimodal Brain Tumor Segmentation Algorithm -- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images -- Multi-plane UNet++ Ensemble for Glioblastoma Segmentation -- Multimodal Brain Tumor Segmentation using Modified UNet Architecture -- A video data based transfer learning approach for classification of MGMT status in brain tumor MR images -- Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021 -- 3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function -- 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge -- Cascaded training pipeline for 3D brain tumor segmentation -- nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation -- Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining -- Automatic segmentation of brain tumor using 3D convolutional neural networks -- Hierarchical and Global Modality Interaction for Brain Tumor Segmentation -- Ensemble Outperforms Single Models in Brain Tumor Segmentation -- Brain Tumor Segmentation using UNet-Context Encoding Network -- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI. |
Record Nr. | UNINA-9910585786203321 |
Crimi Alessandro | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas |
Autore | Crimi Alessandro |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (XXI, 489 p. 171 illus., 134 illus. in color.) |
Disciplina | 006.37 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Computer vision
Artificial intelligence Computer engineering Computer networks Application software Computer Vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications |
Soggetto non controllato |
artificial intelligence
bioinformatics computer science computer systems computer vision education image analysis image processing image segmentation learning machine learning medical images neural networks pattern recognition segmentation methods software design software engineering software quality validation verification and validation |
ISBN | 3-031-08999-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Supervoxel Merging towards Brain Tumor Segmentation -- Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Modeling multi-annotator uncertainty as multi-class segmentation problem -- Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma -- Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks -- Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task -- Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation -- BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance -- Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism -- Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans -- MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation -- Unsupervised Multimodal -- HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation -- Multimodal Brain Tumor Segmentation Algorithm -- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images -- Multi-plane UNet++ Ensemble for Glioblastoma Segmentation -- Multimodal Brain Tumor Segmentation using Modified UNet Architecture -- A video data based transfer learning approach for classification of MGMT status in brain tumor MR images -- Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021 -- 3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function -- 3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge -- Cascaded training pipeline for 3D brain tumor segmentation -- nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation -- Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining -- Automatic segmentation of brain tumor using 3D convolutional neural networks -- Hierarchical and Global Modality Interaction for Brain Tumor Segmentation -- Ensemble Outperforms Single Models in Brain Tumor Segmentation -- Brain Tumor Segmentation using UNet-Context Encoding Network -- Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI. |
Record Nr. | UNISA-996483157303316 |
Crimi Alessandro | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Computer aided verification : 34th International Conference, CAV 2022, Haifa, Israel, August 7-10, 2022, proceedings . Part II. / / editors, Sharon Shoham, Yakir Vizel |
Autore | Shoham Sharon |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (560 pages) : illustrations (black and white) |
Altri autori (Persone) | VizelYakir |
Collana | Lecture notes in computer science |
Soggetto topico | Computer software - Verification |
Soggetto non controllato |
architecting
architecture verification and validation artificial intelligence computer programming computer science computer systems databases distributed computer systems embedded systems engineering formal languages formal logic linguistics mathematics model checking software architecture software design software engineering software quality theoretical computer science |
ISBN | 3-031-13188-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910586580503321 |
Shoham Sharon | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computer aided verification : 34th International Conference, CAV 2022, Haifa, Israel, August 7-10, 2022, proceedings . Part II. / / editors, Sharon Shoham, Yakir Vizel |
Autore | Shoham Sharon |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (560 pages) : illustrations (black and white) |
Altri autori (Persone) | VizelYakir |
Collana | Lecture notes in computer science |
Soggetto topico | Computer software - Verification |
Soggetto non controllato |
architecting
architecture verification and validation artificial intelligence computer programming computer science computer systems databases distributed computer systems embedded systems engineering formal languages formal logic linguistics mathematics model checking software architecture software design software engineering software quality theoretical computer science |
ISBN | 3-031-13188-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996485664103316 |
Shoham Sharon | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Computer aided verification : 34th International Conference, CAV 2022, Haifa, Israel, August 7-10, 2022, proceedings . Part I. / / editors, Sharon Shoham, Yakir Vizel |
Autore | Shoham Sharon |
Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (563 pages) : illustrations (black and white) |
Disciplina | 005.14 |
Collana | Lecture Notes in Computer Science |
Soggetto topico | Computer software - Verification |
Soggetto non controllato |
architecting
architecture verification and validation artificial intelligence computer programming computer science computer systems distributed computer systems distributed systems embedded systems formal logic mathematics model checking programming languages software architecture software design software engineering software quality theoretical computer science verification verification and validation |
ISBN | 3-031-13185-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996485664203316 |
Shoham Sharon | ||
Cham, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|