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Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (481 pages) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Application software Database management Data mining Information storage and retrieval Artificial Intelligence Computer Communication Networks Computer Appl. in Social and Behavioral Sciences Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-030-49161-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification -- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings -- Boosted Ensemble Learning for Anomaly Detection in 5G RAN -- Machine Learning for Cognitive Load Classification – a Case Study on Contact-free Approach -- Real-time prediction of online shoppers' purchasing intention using random forest -- Using Classification for Traffic Prediction in Smart Cities -- Using Twitter to Predict Chart Position for Songs -- Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems -- Clustering - Unsupervised Learning - Analytics -- A two-levels data anonymization approach -- An innovative graph-based approach to advance feature selection from multiple textual documents -- k-means Cluster Shape Implications -- Manifold learning for innovation funding: identification of potential funding recipients -- Network aggregation to enhance results derived from multiple analytics -- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management -- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques -- Image Processing -- Arbitrary Scale Super-Resolution for Brain MRI Images -- Knowledge-based fusion for image tampering localization -- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images -- Learning Algorithms -- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs -- Graph Neural Networks to Advance Anticancer Drug Design -- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning -- Task-Projected Hyperdimensional Computing for Multi-Task Learning -- Neural Network Modeling -- Cross-domain Authorship Attribution Using Pre-trained Language Models -- Indoor Localization with Multi-Objective selection of Radiomap Models -- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing -- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU -- The Random Neural Network in Price Predictions -- Object Tracking - Object Detection Systems -- Joint Multi-Object Detection and Segmentation from an Untrimmed Video -- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System -- Ontologies - AI -- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations -- Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes -- Ontological Foundations of Modelling Security Policies for Logical Analytics -- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata -- Sentiment Analysis - Recommender Systems -- A deep learning approach to aspect-based sentiment prediction -- On the reusability of sentiment analysis datasets in real-life applications -- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations -- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction -- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits -- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH. |
| Record Nr. | UNINA-9910409664603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (475 pages) : illustrations |
| Disciplina | 016.403 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Application software Database management Data mining Information storage and retrieval Artificial Intelligence Computer Communication Networks Computer Appl. in Social and Behavioral Sciences Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-030-49186-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI Ethics – Law -- The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Need to Overhaul the Post-Liberal Order -- Trustworthy AI Needs Unbiased Dictators! -- AI Constraints -- An Introduction of FD-Complete Constraints -- Backward-Forward Sequence Generative Network for Multiple Lexical Constraints -- Deep Learning - LSTM -- Deep Echo State Networks in Industrial Applications -- Deepbots: A Webots-based Deep Reinforcement Learning Framework for Robotics -- Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation -- Introducing an edge-native deep learning platform for exergames -- Investigating the problem of cryptocurrency price prediction - A deep learning approach -- Regularized Evolution for Macro Neural Architecture Search -- Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events -- A machine learning model to detect speech and reading pathologies -- Forecasting Hazard Level Of Air Pollutants Using LSTM's -- Fuzzy Algebra - Fuzzy Systems -- Hypotheses tests using non-asymptotic fuzzy estimators and fuzzy critical values -- Preservation of the Exchange Principle via Lattice Operations on (S,N)- Implications -- Versatile Internet of Things for Agriculture: An eXplainable AI Approach -- Machine Learning -- Acoustic Resonance Testing of Glass IV Bottles -- AI based Real-Time Signal Reconstruction for Wind Farm with SCADA Sensor Failure -- Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning -- Chemical Laboratories 4.0: A Two-stage Machine Learning System for Predicting the Arrival of Samples -- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features -- Real-time Surf Manoeuvres' Detection Using Smartphones' Inertial Sensors -- SDN-enabled IoT Anomaly Detection using Ensemble Learning -- Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning -- Medical - Health System -- An intelligent cloud-based platform for effective monitoring of patients with psychotic disorders -- Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment -- Bridging the Gap between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems -- Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control -- Multi-omics data and analytics integration in ovarian cancer -- Overlap-based Undersampling Method for Classification of Imbalanced Medical Datasets -- Natural Language -- An Overview of Chatbot Technology -- Applying an Intelligent Personal Agent on a Smart Home using a Novel Dialogue Generator -- Exploring NLP and Information Extraction to jointly address Question Generation and Answering -- Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter -- On the Learnability of Concepts With Applications to Comparing Word EmbeddingAlgorithms -- Towards fashion recommendation: An AI system for clothing data retrieval and analysis -- Greek Lyrics Generation. |
| Record Nr. | UNINA-9910409664403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (475 pages) : illustrations |
| Disciplina | 016.403 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Application software Database management Data mining Information storage and retrieval Artificial Intelligence Computer Communication Networks Computer Appl. in Social and Behavioral Sciences Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-030-49186-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AI Ethics – Law -- The Ethos of Artificial Intelligence as a Legal Personality in a Globalized Space: Examining the Need to Overhaul the Post-Liberal Order -- Trustworthy AI Needs Unbiased Dictators! -- AI Constraints -- An Introduction of FD-Complete Constraints -- Backward-Forward Sequence Generative Network for Multiple Lexical Constraints -- Deep Learning - LSTM -- Deep Echo State Networks in Industrial Applications -- Deepbots: A Webots-based Deep Reinforcement Learning Framework for Robotics -- Innovative Deep Neural Network Fusion for Pairwise Translation Evaluation -- Introducing an edge-native deep learning platform for exergames -- Investigating the problem of cryptocurrency price prediction - A deep learning approach -- Regularized Evolution for Macro Neural Architecture Search -- Using Multimodal Contextual Process Information for the Supervised Detection of Connector Lock Events -- A machine learning model to detect speech and reading pathologies -- Forecasting Hazard Level Of Air Pollutants Using LSTM's -- Fuzzy Algebra - Fuzzy Systems -- Hypotheses tests using non-asymptotic fuzzy estimators and fuzzy critical values -- Preservation of the Exchange Principle via Lattice Operations on (S,N)- Implications -- Versatile Internet of Things for Agriculture: An eXplainable AI Approach -- Machine Learning -- Acoustic Resonance Testing of Glass IV Bottles -- AI based Real-Time Signal Reconstruction for Wind Farm with SCADA Sensor Failure -- Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning -- Chemical Laboratories 4.0: A Two-stage Machine Learning System for Predicting the Arrival of Samples -- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features -- Real-time Surf Manoeuvres' Detection Using Smartphones' Inertial Sensors -- SDN-enabled IoT Anomaly Detection using Ensemble Learning -- Harnessing Social Interactions on Twitter for Smart Transportation Using Machine Learning -- Medical - Health System -- An intelligent cloud-based platform for effective monitoring of patients with psychotic disorders -- Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment -- Bridging the Gap between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems -- Know Yourself: An Adaptive Causal Network Model for Therapeutic Intervention for Regaining Cognitive Control -- Multi-omics data and analytics integration in ovarian cancer -- Overlap-based Undersampling Method for Classification of Imbalanced Medical Datasets -- Natural Language -- An Overview of Chatbot Technology -- Applying an Intelligent Personal Agent on a Smart Home using a Novel Dialogue Generator -- Exploring NLP and Information Extraction to jointly address Question Generation and Answering -- Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter -- On the Learnability of Concepts With Applications to Comparing Word EmbeddingAlgorithms -- Towards fashion recommendation: An AI system for clothing data retrieval and analysis -- Greek Lyrics Generation. |
| Record Nr. | UNISA-996465353903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (481 pages) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Application software Database management Data mining Information storage and retrieval Artificial Intelligence Computer Communication Networks Computer Appl. in Social and Behavioral Sciences Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 3-030-49161-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification -- An Adaptive Approach on Credit Card Fraud Detection using Transaction Aggregation and Word Embeddings -- Boosted Ensemble Learning for Anomaly Detection in 5G RAN -- Machine Learning for Cognitive Load Classification – a Case Study on Contact-free Approach -- Real-time prediction of online shoppers' purchasing intention using random forest -- Using Classification for Traffic Prediction in Smart Cities -- Using Twitter to Predict Chart Position for Songs -- Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems -- Clustering - Unsupervised Learning - Analytics -- A two-levels data anonymization approach -- An innovative graph-based approach to advance feature selection from multiple textual documents -- k-means Cluster Shape Implications -- Manifold learning for innovation funding: identification of potential funding recipients -- Network aggregation to enhance results derived from multiple analytics -- PolicyCLOUD: Analytics as a Service facilitating efficient data-driven public policy management -- Demand Forecasting of Short Life Cycle Products using Data Mining Techniques -- Image Processing -- Arbitrary Scale Super-Resolution for Brain MRI Images -- Knowledge-based fusion for image tampering localization -- Transfer Learning using Convolutional Neural Network Architectures for Brain Tumor Classification from MRI Images -- Learning Algorithms -- A Novel Learning Automata-based Strategy to Generate Melodies from Chordal Inputs -- Graph Neural Networks to Advance Anticancer Drug Design -- Optimizing Self-Organizing Lists-on-Lists using Transitivity and Pursuit-Enhanced Object Partitioning -- Task-Projected Hyperdimensional Computing for Multi-Task Learning -- Neural Network Modeling -- Cross-domain Authorship Attribution Using Pre-trained Language Models -- Indoor Localization with Multi-Objective selection of Radiomap Models -- STDP Plasticity in TRN within Hierarchical Spike Timing Model of Visual Information Processing -- Tensor-based CUDA Optimization for ANN Inferencing using Parallel Acceleration on Embedded GPU -- The Random Neural Network in Price Predictions -- Object Tracking - Object Detection Systems -- Joint Multi-Object Detection and Segmentation from an Untrimmed Video -- Robust 3D Detection in Traffic Scenario with Tracking-based Coupling System -- Ontologies - AI -- Automated MeSH Indexing of Biomedical Literature using Contextualized Word Representations -- Knowledge-based Management and Reasoning on Cultural and Natural Touristic Routes -- Ontological Foundations of Modelling Security Policies for Logical Analytics -- RDF reasoning on large ontologies: a study on cultural heritage and Wikidata -- Sentiment Analysis - Recommender Systems -- A deep learning approach to aspect-based sentiment prediction -- On the reusability of sentiment analysis datasets in real-life applications -- Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations -- Sentiment Analysis on Movie Scripts and Reviews: Utilizing sentiment scores in rating prediction -- The MuseLearn platform: personalized content for museum visitors assisted by vision-based recognition and 3D pose estimation of exhibits -- Promoting Diversity in Content Based Recommendation using Feature Weighting and LSH. |
| Record Nr. | UNISA-996465355203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence Applications and Innovations [[electronic resource] ] : AIAI 2019 IFIP WG 12.5 International Workshops: MHDW and 5G-PINE 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / / edited by John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : AIAI 2019 IFIP WG 12.5 International Workshops: MHDW and 5G-PINE 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / / edited by John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIII, 244 p. 91 illus., 56 illus. in color.) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer networks Electronic digital computers—Evaluation Application software Operating systems (Computers) Artificial Intelligence Computer Communication Networks System Performance and Evaluation Computer and Information Systems Applications Operating Systems |
| ISBN | 3-030-19909-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910337841303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations [[electronic resource] ] : 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / / edited by John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations [[electronic resource] ] : 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / / edited by John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIV, 689 p. 265 illus., 185 illus. in color.) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Data mining Computer vision Information storage and retrieval systems Application software Machine theory Artificial Intelligence Data Mining and Knowledge Discovery Computer Vision Information Storage and Retrieval Computer and Information Systems Applications Formal Languages and Automata Theory |
| ISBN | 3-030-19823-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910337841503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops [[electronic resource] ] : MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops [[electronic resource] ] : MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (264 pages) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Database management Information storage and retrieval Optical data processing Artificial Intelligence Computer Communication Networks Database Management Information Storage and Retrieval Image Processing and Computer Vision |
| ISBN | 3-030-49190-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 5th Workshop on “5G-Putting Intelligence to the Network Edge” (5G-PINE 2020) -- A Framework to Support the 5G Densification -- A new approach to 5G and MEC integration -- Business Aspects of the Neutral Host Model: The Immersive Video Services Case -- Combined 5G-based Video Production and Distribution in a Crowded Stadium Event -- Dynamic Network Slicing: Challenges and Opportunities -- Dynamic Resource Allocation and Computation Offloading for Edge Computing System -- Intelligent orchestration of end-to-end network slices for the allocation of mission critical services over NFV architectures -- On the Prediction of Future User Connections Based on Historical Records in Wireless Networks -- Programmable edge-to-cloud virtualization for 5G media industry: The 5G-MEDIA Approach -- Protocol Deployment for Employing Honeypot-as-a-Service -- Threat Landscape of Next Generation IoT-enabled Smart Grids -- Towards a Smart Port: The Role of the Telecom Industry -- 9th Mining Humanistic Data Workshop (MHDW 2020) -- A Graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes -- A Sentiment-Based Hotel Review Summarization using Machine Learning Techniques -- An advanced deep learning model for short-term forecasting U.S. natural gas price and movement -- Fake News Detection Regarding the Hong Kong Events from Tweets -- Improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews -- The Converging Triangle Of Cultural Content, Cognitive Science, and Behavioral Economics -- Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window -- Fingerprints Recognition System-Based on Mobile Device Identification using Circular String Pattern Matching Techniques -- Mining and Analysis of Air Quality data to aid Climate Change. |
| Record Nr. | UNINA-9910409664503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops [[electronic resource] ] : MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis
| Artificial Intelligence Applications and Innovations. AIAI 2020 IFIP WG 12.5 International Workshops [[electronic resource] ] : MHDW 2020 and 5G-PINE 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings / / edited by Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (264 pages) |
| Disciplina | 006.3 |
| Collana | IFIP Advances in Information and Communication Technology |
| Soggetto topico |
Artificial intelligence
Computer communication systems Database management Information storage and retrieval Optical data processing Artificial Intelligence Computer Communication Networks Database Management Information Storage and Retrieval Image Processing and Computer Vision |
| ISBN | 3-030-49190-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 5th Workshop on “5G-Putting Intelligence to the Network Edge” (5G-PINE 2020) -- A Framework to Support the 5G Densification -- A new approach to 5G and MEC integration -- Business Aspects of the Neutral Host Model: The Immersive Video Services Case -- Combined 5G-based Video Production and Distribution in a Crowded Stadium Event -- Dynamic Network Slicing: Challenges and Opportunities -- Dynamic Resource Allocation and Computation Offloading for Edge Computing System -- Intelligent orchestration of end-to-end network slices for the allocation of mission critical services over NFV architectures -- On the Prediction of Future User Connections Based on Historical Records in Wireless Networks -- Programmable edge-to-cloud virtualization for 5G media industry: The 5G-MEDIA Approach -- Protocol Deployment for Employing Honeypot-as-a-Service -- Threat Landscape of Next Generation IoT-enabled Smart Grids -- Towards a Smart Port: The Role of the Telecom Industry -- 9th Mining Humanistic Data Workshop (MHDW 2020) -- A Graph-based Extension for the Set-based Model Implementing Algorithms based on Important Nodes -- A Sentiment-Based Hotel Review Summarization using Machine Learning Techniques -- An advanced deep learning model for short-term forecasting U.S. natural gas price and movement -- Fake News Detection Regarding the Hong Kong Events from Tweets -- Improving Movie Recommendation Systems Filtering by Exploiting User-based Reviews -- The Converging Triangle Of Cultural Content, Cognitive Science, and Behavioral Economics -- Application and Algorithm: Maximal Motif Discovery for Biological Data in a Sliding Window -- Fingerprints Recognition System-Based on Mobile Device Identification using Circular String Pattern Matching Techniques -- Mining and Analysis of Air Quality data to aid Climate Change. |
| Record Nr. | UNISA-996465354603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial neural networks and machine learning - ICANN 2022 . Part III : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, proceedings / / Elias Pimenidis [and four others] (editors)
| Artificial neural networks and machine learning - ICANN 2022 . Part III : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, proceedings / / Elias Pimenidis [and four others] (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (835 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
Machine learning Neural networks (Computer science) |
| ISBN | 3-031-15934-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents- Part III -- Adaptive Channel Encoding Transformer for Point Cloud Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Point-Based Method -- 2.2 Transformer-Based Method -- 3 Method -- 3.1 Tce -- 3.2 Network Architecture -- 4 Experiments -- 4.1 Classification on ModelNet40 -- 4.2 Part Segmentation on ShapeNet -- 4.3 Classification on ScanObjectNN -- 4.4 Ablation Studies -- 4.5 Robustness Experiments -- 5 Conclusion -- References -- ARB U-Net: An Improved Neural Network for Suprapatellar Bursa Effusion Ultrasound Image Segmentation -- 1 Introduction -- 2 ARB U-Net Network Structure -- 2.1 Encoder -- 2.2 Decoder -- 2.3 Loss Function -- 3 Result -- 3.1 Experimental Environment and Dataset Annotation -- 3.2 Evaluation Index -- 3.3 Quantitative and Qualitative Analysis -- 4 Conclusion -- References -- BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Localization -- 2.2 Few-Shot Learning -- 2.3 Few-Shot Segmentation -- 3 Method -- 3.1 Problem Definition -- 3.2 Method Overview -- 3.3 Prototype Generation and Guidance -- 3.4 Original Forward Branch -- 3.5 Adaptive Reverse Branch -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Qualitative Results -- 4.3 Ablation Study -- 5 Conclusions -- References -- CoPrGAN: Image-to-Image Translation via Content Preservation -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Model Overview -- 3.2 Dynamic Paths -- 3.3 Training Strategy -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Quality Comparison -- 4.4 Ablation Study -- 4.5 Discussions -- 5 Conclusion -- References -- Cross Domain Evaluation of Text Detection Models -- 1 Introduction -- 2 Related Work -- 2.1 Character-Based Detectors -- 2.2 Word-Based Detectors -- 2.3 Line-Based Detectors.
2.4 Segmentation-Based Detectors -- 3 Models -- 3.1 EAST -- 3.2 CRAFT -- 3.3 Tesseract -- 3.4 Outputs Ensemble -- 4 Experiment -- 4.1 Datasets -- 4.2 Experimental Set-Up -- 5 Results and Discussion -- 6 Conclusion -- References -- Cross-Domain Learning for Reference-Based Sketch Colorization with Structural and Colorific Strategy -- 1 Introduction -- 2 Related Work -- 2.1 Conditional Sketch Colorization -- 2.2 Reference-Based Colorization -- 3 Proposed Method -- 3.1 Domain Alignment Network -- 3.2 Coarse-to-Fine Generator -- 3.3 Structural and Colorific Strategy -- 3.4 Loss for Reference-Based Sketch Colorization -- 4 Experiments -- 4.1 Implementation -- 4.2 Datasets -- 4.3 Qualitative Comparison -- 4.4 Ablation Study -- 4.5 User Research -- 5 Conclusion -- References -- Data Augmented Dual-Attention Interactive Image Classification Network -- 1 Introduction -- 2 Related Work -- 2.1 Method Based on Strong Supervision -- 2.2 Method Based on Weak Supervision -- 3 Method -- 3.1 Data Augmentation -- 3.2 Dual Attention Network -- 3.3 Channel Interaction and Local Feature Fusion -- 4 Experimental Results and Analysis -- 4.1 Datasets and Implementation Details -- 4.2 Experimental Results on Three Fine-Grained Data Sets -- 4.3 Data Augmentation and Dual Attention Visualization -- 4.4 Ablation Experiments -- 5 Conclusions -- References -- Deep Dictionary Pair Learning for SAR Image Classification -- 1 Introduction -- 2 Related Work -- 2.1 Discriminative Dictionary Learning -- 2.2 Deep Convolutional Neural Network -- 3 Proposed Method -- 3.1 Projective Dictionary Pair Learning -- 3.2 Dictionary Learning Layers -- 3.3 Network Architecture -- 3.4 Training and Inference -- 4 Experiments -- 4.1 DataSet -- 4.2 Setting -- 4.3 Results -- 5 Discussion -- 5.1 Ablation Study -- 5.2 Parameter Comparison Study -- 6 Conclusion -- References. Deepfake Video Detection Exploiting Binocular Synchronization -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Architecture -- 4 Experiment and Analysis -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Feature Effectiveness -- 4.4 In-Dataset Evaluation -- 4.5 Cross-Dataset Evaluation -- 4.6 Ablation Study -- 4.7 Limitations -- 5 Conclusion -- References -- Dep-ViT: Uncertainty Suppression Model Based on Facial Expression Recognition in Depression Patients -- 1 Introduction -- 2 VFEM -- 2.1 Expression Collection -- 2.2 Emoticon Scoring -- 2.3 Facial Feature Extraction and Analysis -- 3 Dep-ViT -- 3.1 Encoder -- 3.2 SE and Self-attention Layer -- 3.3 Rank Regularization Based on KL Divergence and Relabeling -- 3.4 Loss Function Based on Manual Labeling -- 4 Experiment and Result Analysis -- 4.1 Parameter Settings -- 4.2 Experimental Results -- 4.3 Ablation Experiment -- 5 Limitation -- 6 Conclusion -- References -- Ensemble of One-Class Classifiers Based on Multi-level Hidden Representations Abstracted from Convolutional Autoencoder for Anomaly Detection -- 1 Introduction -- 2 Related Work -- 2.1 OCSVMs -- 2.2 Hybrid Approach -- 3 Ensemble of One-Class Classifiers -- 3.1 Extracting Different Levels of Image Semantic Features -- 3.2 Building Multiple Base Classifiers with Extracted Features -- 3.3 Classifier Fusion for Image Anomaly Evaluation -- 4 Experiments -- 4.1 Datasets and Setup -- 4.2 Baseline Methods -- 4.3 Model Configuration -- 4.4 Performance Evaluation Metric -- 4.5 Results and Analysis -- 5 Conclusion and Future Work -- References -- Images Structure Reconstruction from fMRI by Unsupervised Learning Based on VAE -- 1 Introduction -- 2 Method -- 2.1 Basic Model and Loss Function -- 2.2 Overview of the Proposed Framework -- 3 Experimental Results -- 3.1 Datasets and Evalution. 3.2 Comparison of Images Reconstruction Performance with Others -- 3.3 Ablation Experiment -- 4 Conclusion -- References -- Inter-subtask Consistent Representation Learning for Visual Commonsense Reasoning -- 1 Introduction -- 2 Related Work -- 2.1 Visual Commonsense Reasoning -- 2.2 Siamese Network -- 2.3 Contrastive Learning -- 3 Proposed Approach -- 3.1 Joint Learning Framework -- 3.2 Feature Extraction -- 3.3 Multi-level Contrastive Learning -- 3.4 Classification and Loss -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Performance Comparison -- 4.3 Ablation Studies -- 5 Conclusion -- References -- InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee -- 1 Introduction -- 1.1 User Study -- 2 Literature Review -- 3 Method -- 3.1 Overview -- 3.2 Attack and Geometric Constraint Loss Functions -- 3.3 Geometric Warp and Masking -- 4 Attacks in the Digital World -- 4.1 Dataset and Experiment Setup -- 4.2 Experimental Results -- 4.3 Case Studies of Digital Attacks -- 5 Attacks in the Physical World -- 5.1 Additional Discussion -- 6 Conclusion -- References -- Makeup Transfer Based on Generative Adversarial Network for Large Angle Spatial Misalignment -- 1 Introduction -- 2 Related Work -- 2.1 Facial Makeup Transfer -- 2.2 Style Transfer -- 3 Related Work -- 3.1 Formulation -- 3.2 Framework -- 3.3 Neural Head Reenactment Module -- 3.4 Full Objective -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Comparisons -- 4.3 Ablation Studies -- 4.4 Controllable Makeup Transfer -- 4.5 Partial Makeup Transfer -- 4.6 Makeup Remove -- 5 Conclusion -- References -- Making Images Resilient to Adversarial Example Attacks -- 1 Introduction -- 2 Adversary-Proof Examples -- 2.1 Baseline: R-PGD -- 2.2 Advanced: ZigZag -- 3 Empirical Study -- 3.1 Experiment Settings -- 3.2 R-PGD Against FGSM -- 3.3 R-PGD Against PGD. 3.4 ZigZag Against FGSM -- 3.5 ZigZag Against PGD -- 3.6 ZigZag Against CW -- 3.7 Transferability Evaluation -- 4 Related Work -- 5 Concluding Remarks -- References -- Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View -- 1 Introduction -- 2 Related Work -- 2.1 Lane Detection Datasets -- 2.2 Semantic Segmentation Models Based on DCNNs -- 2.3 Hausdorff Distance Loss -- 2.4 Conditional Random Fields -- 3 Multi-class Lane Semantic Segmentation -- 3.1 Expressway Dataset Based on Aerial View -- 3.2 DeepLab-ERFC -- 3.3 Update Strategy -- 4 Experiment -- 4.1 Comparison Experiment -- 4.2 Evaluation on Expressway Dataset -- 5 Conclusion -- References -- Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Generic Representation Extraction -- 3.2 Local Region-Word Alignment -- 3.3 Multi-level Semantic Matching -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset and Evaluation Metric -- 4.2 Implementation Details -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Study and Analysis -- 4.5 Visualization of Retrieval Results -- 5 Conclusion -- References -- NAS4FBP: Facial Beauty Prediction Based on Neural Architecture Search -- 1 Introduction -- 2 Related Work -- 2.1 Facial Beauty Prediction Based on Deep Learning -- 2.2 Neural Architecture Search -- 3 Method -- 3.1 Align-Crop -- 3.2 NAS for an FBP Backbone -- 3.3 Non-local Spatial Attention Module -- 3.4 Multi-task Learning Scheme with HBLoss -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experiments of Applying NAS to FBP -- 4.3 Comparison with the Related State-of-the-Art Models -- 4.4 Ablation and Analysis -- 5 Conclusion -- References -- Object Detector with Recursive Feature Pyramid and Key Content-Only Attention -- 1 Introduction -- 2 Related Works. 3 RecursiveFeaturePyramid. |
| Record Nr. | UNINA-9910592992203321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial neural networks and machine learning - ICANN 2022 . Part III : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, proceedings / / Elias Pimenidis [and four others] (editors)
| Artificial neural networks and machine learning - ICANN 2022 . Part III : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, proceedings / / Elias Pimenidis [and four others] (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (835 pages) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Artificial intelligence
Machine learning Neural networks (Computer science) |
| ISBN | 3-031-15934-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents- Part III -- Adaptive Channel Encoding Transformer for Point Cloud Analysis -- 1 Introduction -- 2 Related Work -- 2.1 Point-Based Method -- 2.2 Transformer-Based Method -- 3 Method -- 3.1 Tce -- 3.2 Network Architecture -- 4 Experiments -- 4.1 Classification on ModelNet40 -- 4.2 Part Segmentation on ShapeNet -- 4.3 Classification on ScanObjectNN -- 4.4 Ablation Studies -- 4.5 Robustness Experiments -- 5 Conclusion -- References -- ARB U-Net: An Improved Neural Network for Suprapatellar Bursa Effusion Ultrasound Image Segmentation -- 1 Introduction -- 2 ARB U-Net Network Structure -- 2.1 Encoder -- 2.2 Decoder -- 2.3 Loss Function -- 3 Result -- 3.1 Experimental Environment and Dataset Annotation -- 3.2 Evaluation Index -- 3.3 Quantitative and Qualitative Analysis -- 4 Conclusion -- References -- BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization -- 1 Introduction -- 2 Related Work -- 2.1 Anomaly Localization -- 2.2 Few-Shot Learning -- 2.3 Few-Shot Segmentation -- 3 Method -- 3.1 Problem Definition -- 3.2 Method Overview -- 3.3 Prototype Generation and Guidance -- 3.4 Original Forward Branch -- 3.5 Adaptive Reverse Branch -- 4 Experiments -- 4.1 Experiment Setup -- 4.2 Qualitative Results -- 4.3 Ablation Study -- 5 Conclusions -- References -- CoPrGAN: Image-to-Image Translation via Content Preservation -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Model Overview -- 3.2 Dynamic Paths -- 3.3 Training Strategy -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Quality Comparison -- 4.4 Ablation Study -- 4.5 Discussions -- 5 Conclusion -- References -- Cross Domain Evaluation of Text Detection Models -- 1 Introduction -- 2 Related Work -- 2.1 Character-Based Detectors -- 2.2 Word-Based Detectors -- 2.3 Line-Based Detectors.
2.4 Segmentation-Based Detectors -- 3 Models -- 3.1 EAST -- 3.2 CRAFT -- 3.3 Tesseract -- 3.4 Outputs Ensemble -- 4 Experiment -- 4.1 Datasets -- 4.2 Experimental Set-Up -- 5 Results and Discussion -- 6 Conclusion -- References -- Cross-Domain Learning for Reference-Based Sketch Colorization with Structural and Colorific Strategy -- 1 Introduction -- 2 Related Work -- 2.1 Conditional Sketch Colorization -- 2.2 Reference-Based Colorization -- 3 Proposed Method -- 3.1 Domain Alignment Network -- 3.2 Coarse-to-Fine Generator -- 3.3 Structural and Colorific Strategy -- 3.4 Loss for Reference-Based Sketch Colorization -- 4 Experiments -- 4.1 Implementation -- 4.2 Datasets -- 4.3 Qualitative Comparison -- 4.4 Ablation Study -- 4.5 User Research -- 5 Conclusion -- References -- Data Augmented Dual-Attention Interactive Image Classification Network -- 1 Introduction -- 2 Related Work -- 2.1 Method Based on Strong Supervision -- 2.2 Method Based on Weak Supervision -- 3 Method -- 3.1 Data Augmentation -- 3.2 Dual Attention Network -- 3.3 Channel Interaction and Local Feature Fusion -- 4 Experimental Results and Analysis -- 4.1 Datasets and Implementation Details -- 4.2 Experimental Results on Three Fine-Grained Data Sets -- 4.3 Data Augmentation and Dual Attention Visualization -- 4.4 Ablation Experiments -- 5 Conclusions -- References -- Deep Dictionary Pair Learning for SAR Image Classification -- 1 Introduction -- 2 Related Work -- 2.1 Discriminative Dictionary Learning -- 2.2 Deep Convolutional Neural Network -- 3 Proposed Method -- 3.1 Projective Dictionary Pair Learning -- 3.2 Dictionary Learning Layers -- 3.3 Network Architecture -- 3.4 Training and Inference -- 4 Experiments -- 4.1 DataSet -- 4.2 Setting -- 4.3 Results -- 5 Discussion -- 5.1 Ablation Study -- 5.2 Parameter Comparison Study -- 6 Conclusion -- References. Deepfake Video Detection Exploiting Binocular Synchronization -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Architecture -- 4 Experiment and Analysis -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Feature Effectiveness -- 4.4 In-Dataset Evaluation -- 4.5 Cross-Dataset Evaluation -- 4.6 Ablation Study -- 4.7 Limitations -- 5 Conclusion -- References -- Dep-ViT: Uncertainty Suppression Model Based on Facial Expression Recognition in Depression Patients -- 1 Introduction -- 2 VFEM -- 2.1 Expression Collection -- 2.2 Emoticon Scoring -- 2.3 Facial Feature Extraction and Analysis -- 3 Dep-ViT -- 3.1 Encoder -- 3.2 SE and Self-attention Layer -- 3.3 Rank Regularization Based on KL Divergence and Relabeling -- 3.4 Loss Function Based on Manual Labeling -- 4 Experiment and Result Analysis -- 4.1 Parameter Settings -- 4.2 Experimental Results -- 4.3 Ablation Experiment -- 5 Limitation -- 6 Conclusion -- References -- Ensemble of One-Class Classifiers Based on Multi-level Hidden Representations Abstracted from Convolutional Autoencoder for Anomaly Detection -- 1 Introduction -- 2 Related Work -- 2.1 OCSVMs -- 2.2 Hybrid Approach -- 3 Ensemble of One-Class Classifiers -- 3.1 Extracting Different Levels of Image Semantic Features -- 3.2 Building Multiple Base Classifiers with Extracted Features -- 3.3 Classifier Fusion for Image Anomaly Evaluation -- 4 Experiments -- 4.1 Datasets and Setup -- 4.2 Baseline Methods -- 4.3 Model Configuration -- 4.4 Performance Evaluation Metric -- 4.5 Results and Analysis -- 5 Conclusion and Future Work -- References -- Images Structure Reconstruction from fMRI by Unsupervised Learning Based on VAE -- 1 Introduction -- 2 Method -- 2.1 Basic Model and Loss Function -- 2.2 Overview of the Proposed Framework -- 3 Experimental Results -- 3.1 Datasets and Evalution. 3.2 Comparison of Images Reconstruction Performance with Others -- 3.3 Ablation Experiment -- 4 Conclusion -- References -- Inter-subtask Consistent Representation Learning for Visual Commonsense Reasoning -- 1 Introduction -- 2 Related Work -- 2.1 Visual Commonsense Reasoning -- 2.2 Siamese Network -- 2.3 Contrastive Learning -- 3 Proposed Approach -- 3.1 Joint Learning Framework -- 3.2 Feature Extraction -- 3.3 Multi-level Contrastive Learning -- 3.4 Classification and Loss -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Performance Comparison -- 4.3 Ablation Studies -- 5 Conclusion -- References -- InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee -- 1 Introduction -- 1.1 User Study -- 2 Literature Review -- 3 Method -- 3.1 Overview -- 3.2 Attack and Geometric Constraint Loss Functions -- 3.3 Geometric Warp and Masking -- 4 Attacks in the Digital World -- 4.1 Dataset and Experiment Setup -- 4.2 Experimental Results -- 4.3 Case Studies of Digital Attacks -- 5 Attacks in the Physical World -- 5.1 Additional Discussion -- 6 Conclusion -- References -- Makeup Transfer Based on Generative Adversarial Network for Large Angle Spatial Misalignment -- 1 Introduction -- 2 Related Work -- 2.1 Facial Makeup Transfer -- 2.2 Style Transfer -- 3 Related Work -- 3.1 Formulation -- 3.2 Framework -- 3.3 Neural Head Reenactment Module -- 3.4 Full Objective -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Comparisons -- 4.3 Ablation Studies -- 4.4 Controllable Makeup Transfer -- 4.5 Partial Makeup Transfer -- 4.6 Makeup Remove -- 5 Conclusion -- References -- Making Images Resilient to Adversarial Example Attacks -- 1 Introduction -- 2 Adversary-Proof Examples -- 2.1 Baseline: R-PGD -- 2.2 Advanced: ZigZag -- 3 Empirical Study -- 3.1 Experiment Settings -- 3.2 R-PGD Against FGSM -- 3.3 R-PGD Against PGD. 3.4 ZigZag Against FGSM -- 3.5 ZigZag Against PGD -- 3.6 ZigZag Against CW -- 3.7 Transferability Evaluation -- 4 Related Work -- 5 Concluding Remarks -- References -- Multi-Class Lane Semantic Segmentation of Expressway Dataset Based on Aerial View -- 1 Introduction -- 2 Related Work -- 2.1 Lane Detection Datasets -- 2.2 Semantic Segmentation Models Based on DCNNs -- 2.3 Hausdorff Distance Loss -- 2.4 Conditional Random Fields -- 3 Multi-class Lane Semantic Segmentation -- 3.1 Expressway Dataset Based on Aerial View -- 3.2 DeepLab-ERFC -- 3.3 Update Strategy -- 4 Experiment -- 4.1 Comparison Experiment -- 4.2 Evaluation on Expressway Dataset -- 5 Conclusion -- References -- Mutil-level Local Alignment and Semantic Matching Network for Image-Text Retrieval -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Generic Representation Extraction -- 3.2 Local Region-Word Alignment -- 3.3 Multi-level Semantic Matching -- 3.4 Loss Function -- 4 Experiments -- 4.1 Dataset and Evaluation Metric -- 4.2 Implementation Details -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Study and Analysis -- 4.5 Visualization of Retrieval Results -- 5 Conclusion -- References -- NAS4FBP: Facial Beauty Prediction Based on Neural Architecture Search -- 1 Introduction -- 2 Related Work -- 2.1 Facial Beauty Prediction Based on Deep Learning -- 2.2 Neural Architecture Search -- 3 Method -- 3.1 Align-Crop -- 3.2 NAS for an FBP Backbone -- 3.3 Non-local Spatial Attention Module -- 3.4 Multi-task Learning Scheme with HBLoss -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Experiments of Applying NAS to FBP -- 4.3 Comparison with the Related State-of-the-Art Models -- 4.4 Ablation and Analysis -- 5 Conclusion -- References -- Object Detector with Recursive Feature Pyramid and Key Content-Only Attention -- 1 Introduction -- 2 Related Works. 3 RecursiveFeaturePyramid. |
| Record Nr. | UNISA-996490366003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
