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Artificial Intelligence and Machine Learning for Digital Pathology [[electronic resource] ] : State-of-the-Art and Future Challenges / / edited by Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller
| Artificial Intelligence and Machine Learning for Digital Pathology [[electronic resource] ] : State-of-the-Art and Future Challenges / / edited by Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 339 pages) |
| Disciplina | 616.07540285 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Database management Application software Computer security Optical data processing Artificial Intelligence Computing Milieux Database Management Computer Applications Systems and Data Security Image Processing and Computer Vision |
| ISBN | 3-030-50402-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Expectations of Artificial Intelligence for Pathology -- Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images -- Supporting the Donation of Health Records to Biobanks for Medical Research -- Survey of XAI in Digital Pathology -- Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks -- Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances -- Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration -- OBDEX – Open Block Data Exchange System -- Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review -- Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology -- Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets -- Biobanks and Biobank-Based Artificial Intelligence (AI) Implementation Through an International Lens -- HistoMapr: An Explainable AI (xAI) Platform for Computational Pathology Solutions -- Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets -- Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers -- Assessment and Comparison of Colour Fidelity of Whole slide imaging scanners -- Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: a Comprehensive Review -- Developments in AI and Machine Learning for Neuroimaging. |
| Record Nr. | UNISA-996418313003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence and Machine Learning for Digital Pathology : State-of-the-Art and Future Challenges / / edited by Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller
| Artificial Intelligence and Machine Learning for Digital Pathology : State-of-the-Art and Future Challenges / / edited by Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xii, 339 pages) |
| Disciplina |
616.07540285
616.07 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Database management Application software Computer security Optical data processing Artificial Intelligence Computing Milieux Database Management Computer Applications Systems and Data Security Image Processing and Computer Vision |
| ISBN | 3-030-50402-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Expectations of Artificial Intelligence for Pathology -- Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images -- Supporting the Donation of Health Records to Biobanks for Medical Research -- Survey of XAI in Digital Pathology -- Sample Quality as Basic Prerequisite for Data Quality: A Quality Management System for Biobanks -- Black Box Nature of Deep Learning for Digital Pathology: Beyond Quantitative to Qualitative Algorithmic Performances -- Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration -- OBDEX – Open Block Data Exchange System -- Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review -- Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology -- Classification vs Deep Learning in Cancer Degree on Limited Histopathology Datasets -- Biobanks and Biobank-Based Artificial Intelligence (AI) Implementation Through an International Lens -- HistoMapr: An Explainable AI (xAI) Platform for Computational Pathology Solutions -- Extension of the Identity Management System Mainzelliste to Reduce Runtimes for Patient Registration in Large Datasets -- Digital Image Analysis in Pathology Using DNA Stain: Contributions in Cancer Diagnostics and Development of Prognostic and Theranostic Biomarkers -- Assessment and Comparison of Colour Fidelity of Whole slide imaging scanners -- Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: a Comprehensive Review -- Developments in AI and Machine Learning for Neuroimaging. |
| Record Nr. | UNINA-9910410055503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
PRICAI '96: Topics in Artificial Intelligence [[electronic resource] ] : 4th Pacific Rim International Conference on Artificial Intelligence, Cairns, Australia, August 26 - 30, 1996, Proceedings / / edited by Norman Foo, Randy Goebel
| PRICAI '96: Topics in Artificial Intelligence [[electronic resource] ] : 4th Pacific Rim International Conference on Artificial Intelligence, Cairns, Australia, August 26 - 30, 1996, Proceedings / / edited by Norman Foo, Randy Goebel |
| Edizione | [1st ed. 1996.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996 |
| Descrizione fisica | 1 online resource (XXI, 658 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-540-68729-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A general framework for mechanizing induction using test set -- Inductive equational reasoning -- Cost-sensitive specialization -- Efficient multiple predicate learner based on fast failure mechanism -- Acquiring user preferences for information filtering in interactive multi-media services -- The development of an interactive fault diagnosis expert system for telecommunication applications -- An intelligent education system which supports scientific thinking: Galileo — Philosophy and basic architecture -- A unified approach to handling uncertainty during cooperative consultations -- Declarative program theory with implicit implication -- Knowledge decomposition: An analysis -- The concept classification of a terminology extended by conjunction and disjunction -- Extending partial orders for sort reasoning -- An update procedure for a probabilistic deductive database -- A framework for reasoning about requirements evolution -- An application of hierarchical knowledge integration in hand-written form processing -- AMI: A model of intelligence -- Symbol processing by non-symbol processor -- Fall diagnosis using dynamic belief networks -- Remembrance of discourse based on textual continuity: A spreading activation network -- Lexical access using minimum message length encoding -- Using neural nets to investigate lexical analysis -- Validity of normality assumption in CSP research -- An improved generic arc consistency algorithm and its specializations -- High-level synthesis optimisation with genetic algorithms -- A qualitative reasoning based on an ontology of fluid systems and its evaluation -- Parallel cost-based abductive reasoning for distributed memory systems -- A history-oriented envisioning method -- Team learning of recursive languages -- Combining views on concepts in unsupervised concept learning -- The complexity of batch approaches to reduced error rule set induction -- Learning simple recursive concepts by discovering missing examples -- On semantic resolution with lemmaizing and contraction -- Tableaux for expansion and contraction -- Translating machine-generated resolution proofs into ND-proofs at the assertion level -- Evidential temporal representations and reasoning -- Using artificial neural networks for meteor-burst communications trail prediction -- Modeling commonsense rules in an inference network -- Adaptive SEJONG-NET for on-line Hangul recognition -- A unified algebraic structure for uncertain reasonings -- Exten: A system for computing default logic extensions -- A logic for concurrent events and action failure -- Domain world models represented from variable viewpoints for ICAI systems of high-school chemistry -- Creating theoretical terms for non-deterministic actions -- Conservative expansion concepts for default theories -- On formation of exception hierarchy -- Anytime default inference -- Studying properties of classes of default logics — Preliminary report -- Learning cooperative behavior in multi-agent environment a case study of choice of play-plans in soccer -- CiFi: An intelligent agent for citation finding on the World-Wide Web -- Automatic making of Sokoban problems -- Bringing about rationality: Incorporating plans into a BDI agent architecture -- An architecture for autonomous flying vehicles: A preliminary report -- Face recognition through hough transform for irises extraction and projection procedures for parts localization for facial caricaturing system PICASSO -- Extraction of face region and features based on chromatic properties of human faces -- A fast pattern-matching algorithm using matching candidates for production systems. |
| Record Nr. | UNISA-996465295603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1996 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
| Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |
| Autore | Zaïane Osmar R |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2002 |
| Descrizione fisica | 1 online resource (719 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the eighth Association for Computing Machinery Special Interest Group on Knowledge Discovery in Data International Conference on Knowledge Discovery and Data Mining
KDD '02 the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, AB, Canada - July 23 - 25, 2002 |
| Record Nr. | UNINA-9910375833303321 |
Zaïane Osmar R
|
||
| [Place of publication not identified], : ACM, 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Towards Integrative Machine Learning and Knowledge Extraction [[electronic resource] ] : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers / / edited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade
| Towards Integrative Machine Learning and Knowledge Extraction [[electronic resource] ] : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers / / edited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 207 p. 57 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Mathematical statistics Software engineering Computer organization Artificial Intelligence Information Systems and Communication Service Probability and Statistics in Computer Science Software Engineering/Programming and Operating Systems Computer Systems Organization and Communication Networks |
| ISBN | 3-319-69775-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards integrative Machine Learning & Knowledge Extraction -- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach -- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization -- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining -- Probabilistic Logic Programming in Action -- Persistent topology for natural data analysis — A survey -- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques -- A Brief Philosophical Note on Information -- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline -- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images -- Topological characteristics of oil and gas reservoirs and their applications -- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment. |
| Record Nr. | UNISA-996465642703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Towards Integrative Machine Learning and Knowledge Extraction : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers / / edited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade
| Towards Integrative Machine Learning and Knowledge Extraction : BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers / / edited by Andreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 207 p. 57 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Mathematical statistics Software engineering Computer organization Artificial Intelligence Information Systems and Communication Service Probability and Statistics in Computer Science Software Engineering/Programming and Operating Systems Computer Systems Organization and Communication Networks |
| ISBN | 3-319-69775-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Towards integrative Machine Learning & Knowledge Extraction -- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach -- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization -- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining -- Probabilistic Logic Programming in Action -- Persistent topology for natural data analysis — A survey -- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques -- A Brief Philosophical Note on Information -- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline -- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images -- Topological characteristics of oil and gas reservoirs and their applications -- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment. |
| Record Nr. | UNINA-9910483172603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Trustworthy Federated Learning [[electronic resource] ] : First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers / / edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong
| Trustworthy Federated Learning [[electronic resource] ] : First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers / / edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (168 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data protection Social sciences—Data processing Application software Artificial Intelligence Data and Information Security Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN |
9783031289965
9783031289958 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adaptive Expert Models for Personalization in Federated Learning -- Federated Learning with GAN-based Data Synthesis for Non-iid Clients -- Practical and Secure Federated Recommendation with Personalized Mask -- A General Theory for Client Sampling in Federated Learning -- Decentralized adaptive clustering of deep nets is beneficial for client collaboration -- Sketch to Skip and Select: Communication Efficient Federated Learning using Locality Sensitive Hashing -- Fast Server Learning Rate Tuning for Coded Federated Dropout -- FedAUXfdp: Differentially Private One-Shot Federated Distillation -- Secure forward aggregation for vertical federated neural network -- Two-phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting -- Privacy-Preserving Federated Cross-Domain Social Recommendation. |
| Record Nr. | UNISA-996517751703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Trustworthy Federated Learning : First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers / / edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong
| Trustworthy Federated Learning : First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers / / edited by Randy Goebel, Han Yu, Boi Faltings, Lixin Fan, Zehui Xiong |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (168 pages) : illustrations |
| Disciplina |
006.3
006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data protection Social sciences—Data processing Application software Artificial Intelligence Data and Information Security Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications |
| ISBN |
9783031289965
9783031289958 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adaptive Expert Models for Personalization in Federated Learning -- Federated Learning with GAN-based Data Synthesis for Non-iid Clients -- Practical and Secure Federated Recommendation with Personalized Mask -- A General Theory for Client Sampling in Federated Learning -- Decentralized adaptive clustering of deep nets is beneficial for client collaboration -- Sketch to Skip and Select: Communication Efficient Federated Learning using Locality Sensitive Hashing -- Fast Server Learning Rate Tuning for Coded Federated Dropout -- FedAUXfdp: Differentially Private One-Shot Federated Distillation -- Secure forward aggregation for vertical federated neural network -- Two-phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting -- Privacy-Preserving Federated Cross-Domain Social Recommendation. |
| Record Nr. | UNINA-9910683360003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
XxAI - Beyond Explainable AI [[electronic resource] ] : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
| XxAI - Beyond Explainable AI [[electronic resource] ] : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers |
| Autore | Holzinger Andreas |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (397 p.) |
| Altri autori (Persone) |
GoebelRandy
FongRuth MoonTaesup MüllerKlaus-Robert SamekWojciech |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Machine learning |
| Soggetto non controllato |
Computer Science
Informatics Conference Proceedings Research Applications |
| ISBN | 3-031-04083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996472069203316 |
|
Holzinger Andreas
|
||
| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
XxAI - Beyond Explainable AI : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers
| XxAI - Beyond Explainable AI : International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers |
| Autore | Holzinger Andreas |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2022 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
GoebelRandy
FongRuth MoonTaesup MüllerKlaus-Robert SamekWojciech |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Machine learning |
| Soggetto non controllato |
Computer Science
Informatics Conference Proceedings Research Applications |
| ISBN | 3-031-04083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910561298803321 |
|
Holzinger Andreas
|
||
| Cham, : Springer International Publishing AG, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||