Artificial intelligence . Part II : second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, revised selected papers / / Lu Fang [and four others] (editors)

• Record Nr.: UNISA996503467603316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2022]; ©2022
• ISBN: 3-031-20500-6
• Descrizione fisica: 1 online resource (660 pages)
• Collana: Lecture notes in computer science series ; ; Volume 13605
• Disciplina: 006.3
• Soggetti: Artificial intelligence
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part II -- AI Ethics, Privacy, Fairness and Security -- Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networks -- 1 Introduction -- 2 Related Work -- 2.1 Model Interpretability Methods -- 2.2 White-Box Adversarial Attack Methods -- 3 Proposed Approach -- 3.1 Selecting Important Area by Saliency Map -- 3.2 Combining Saliency Map with Single-Step Attack Method -- 3.3 Combining Saliency Map and Iterative Attack Method -- 4 Experiments -- 4.1 Datasets and Networks -- 4.2 Evaluation Indexes -- 4.3 Hyperparameters -- 4.4 Experimental Result -- 5 Conclusion -- References -- Improving Adversarial Attacks with Ensemble-Based Approaches -- 1 Introduction -- 2 Related Works -- 2.1 Optimization-Based Methods -- 2.2 Gradient-Based Methods -- 2.3 Targeted Attacks -- 3 Methodology -- 3.1 Motivation -- 3.2 Ensemble Schemes -- 3.3 Gradient Descent Mechanisms -- 3.4 Optimization Algorithm -- 4 Experimental Results -- 4.1 Experimental Settings -- 4.2 Attacking a Single Model -- 4.3 Attacking an Ensemble of Models -- 5 Conclusion and Future Work -- References -- Applications of Artificial Intelligence -- Browsing Behavioral Intent Prediction on Product Recommendation Pages of E-commerce Platform -- 1 Introduction -- 2 Related Work -- 2.1 Browsing Behavior Analysis -- 2.2 Browsing Behavioral Intent Prediction -- 3 Methodology -- 4 Experiments -- 4.1 Data Collection and ; Processing -- 4.2 Model Architecture -- 4.3 Interest Analysis Method -- 5 Results and Discussion -- 5.1 Prediction Results -- 5.2 Interest Analysis Results and Discussion -- 6 Conclusion -- References -- An Optical Satellite Controller Based on Diffractive Deep Neural Network -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation -- 2.2 Optical Controller Framework -- 2.3 Architecture of the Optical Controller.; 2.4 Optimization of the Optical Controller -- 3 Experiments -- 3.1 Dataset Description -- 3.2 Experimental Settings -- 3.3 Experimental Results -- 4 Conclusion -- References -- Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraints -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Features Extraction Using FPN -- 3.2 Instance Segmentation via Unified SPA Features -- 3.3 Landmark Estimation via Graph Space Constraints -- 3.4 Text Regularization -- 3.5 Loss Function -- 4 Experiments -- 4.1 Evaluation of Instance Segmentation -- 4.2 Performance of Landmark Estimation -- 4.3 End-to-End Performance -- 4.4 Ablation Experiments -- 5 Conclusion -- References -- A Large-Scale Tobacco 3D Bin Packing Model Based on Dual-Task Learning of Group Blocks -- 1 Introduction -- 2 Problem Formulation -- 3 Method -- 3.1 Group Block Generation Algorithm -- 3.2 Dual-Task Learning of Group Blocks -- 4 Experiment -- 5 Conclusions -- References -- ETH-TT: A Novel Approach for Detecting Ethereum Malicious Accounts -- 1 Introduction -- 2 ETH Tracking Tree Method -- 2.1 ETH Tracking Tree and Traceability Rate -- 2.2 Features Extraction -- 2.3 Model Design -- 3 Experiment -- 3.1 Dataset -- 3.2 Experimental Details -- 3.3 Experimental Result -- 3.4 Result Analysis -- 4 Availability of Data and Material -- References -- Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 4 Approach -- 4.1 M2OR-RL Framework -- 4.2 Optimization -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Experiment with Multiple Objectives -- 5.3 Experiment with Single Objective -- 6 Conclusion -- A Algorithms -- A.1 Implementation Detail -- A.2 Implementation Details -- References -- Purchase Pattern Based Anti-Fraud Framework in Online E-Commerce Platform Using Graph Neural Network.; 1 Introduction -- 2 Related Work -- 2.1 Fraud Detection -- 2.2 Graph Representation Learning -- 3 Proposed Method -- 3.1 Dynamic Purchase Pattern (DPP) -- 3.2 GNN with Similarity and Relation (GSR) -- 4 Experiments -- 4.1 Dataset -- 4.2 Purchase Pattern Visualization -- 4.3 Fraudulent Order Detection Result of GSR -- 5 Conclusions and Future Work -- References -- Physical Logic Enhanced Network for Small-Sample Bi-layer Metallic Tubes Bending Springback Prediction -- 1 Introduction -- 2 Background Knowledge -- 2.1 RDB Processing of BMT -- 2.2 Equivalent Section Theory -- 3 Methodology -- 3.1 Proposed Prediction Architecture -- 3.2 Preliminary Analysis of BMT Equivalence Section -- 3.3 Composition of the Loss Function -- 4 Case Study -- 4.1 Dataset Construction -- 4.2 Precision Analysis of Proposed Method -- 4.3 Effectiveness of PE-NET -- 5 Conclusion -- References -- Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency -- 1 Introduction -- 2 Proposed Method -- 2.1 Saliency-Based Local Region Selection -- 2.2 Quality-Aware Feature Extraction -- 2.3 Quality Prediction -- 3 Experiments -- 3.1 Test Database -- 3.2 The Effect of Visual Quality on IVSS -- 3.3 Performance Comparison with SOTA BIQA Methods -- 4 Conclusion -- References -- Power Grid Bus Cluster Based on Voltage Phasor Trajectory -- 1 Introduction -- 2 Propagation Mechanism of Power Grid Faults -- 3 Trajectory-Based Similarity -- 3.1 Length of Trajectory -- 3.2 Curvature of Trajectory -- 3.3 Topological Distance ; -- 3.4 Similarity of Trajectories -- 3.5 Power Grid Bus Cluster -- 4 Experiments -- 4.1 Visualize for Each Dimension -- 4.2 Trajectory Similarity Analysis -- 4.3 Trajectory Cluster Analysis -- 5 Conclusion -- References -- Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos -- 1 Introduction.; 2 Related Work -- 3 Preliminaries -- 3.1 Problem Definition -- 3.2 Text-Visual Uniform Section Segmentation -- 4 Spotlight Flow Network -- 4.1 Multimodal Representation Layer -- 4.2 Hierarchical Multi-label Inter-level Constrained Classifier -- 4.3 Training SFNet -- 5 Experiments -- 5.1 Data Description -- 5.2 Baseline Approaches and Experimental Setup -- 5.3 Experimental Results -- 6 Conclusion -- References -- Learning Evidential Cognitive Diagnosis Networks Robust to Response Bias -- 1 Introduction -- 2 Method -- 2.1 Problem Definition -- 2.2 Evidential Cognitive Diagnosis Model -- 2.3 Uncertainty-ASSIST (UncASSIST) Dataset -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Main Results on the UncASSIST Dataset -- 3.3 Analysis of the Uncertainty Estimation -- 4 Conclusion -- References -- An Integrated Navigation Method for UAV Autonomous Landing Based on Inertial and Vision Sensors -- 1 Introduction -- 2 Landing Process Analysis and Scheme Design -- 3 Intelligent Identification of Airport Runway Based on Deep Learning Semantic Segmentation -- 3.1 Runway Segmentation Network Design -- 3.2 Runway Edge Feature Extraction -- 4 Modeling of Visual Relative Position/Attitude Measurement Based on the Characteristics of Runway Boundary -- 4.1 Coordinate System and Parameters Definition -- 4.2 Mathematical Modeling of Visual Relative Position/Attitude Measurement -- 5 Information Fusion Model of Inertial/Visual Sensor -- 5.1 System State Equation -- 5.2 System Observation Equation -- 6 Experiment Verification -- 6.1 Experiment Conditions -- 6.2 Experiment Results -- 7 Conclusion -- References -- An Automatic Surface Defect Detection Method with Residual Attention Network -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Overview of Network Framework -- 2.2 Backbone Network -- 2.3 MCF Block -- 3 Experiment Data and Preprocessing -- 3.1 Data Set.; 3.2 Image Preprocessing -- 4 Experiment Results and Analysis -- 4.1 Implementation Details -- 4.2 Ablation Study -- 4.3 Performance Comparison -- 5 Conclusion -- References -- Research on Intelligent Decision-Making Irrigation Model of Water and Fertilizer Based on Multi-source Data Input -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Identification of Influencing Factors and Coupling Verification -- 3 Intelligent Decision-Making Irrigation Model of Water and Fertilizer -- 4 Results and Discussion -- 4.1 Comparison of Prediction Performance of Different Models -- 4.2 Analysis of Factors Affecting the Prediction Performance of the Model -- 4.3 Prediction Error Analysis of Water and Fertilizer Irrigation Quantity -- 4.4 Model Stability Analysis -- 5 Conclusion -- References -- Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Recurrent Neural Network for Healthcare -- 2.2 Drug Recommendation -- 3 Preliminaries -- 3.1 Dataset -- 3.2 Problem Formulation -- 4 Technical Details -- 4.1 Patient Encoder -- 4.2 Prescription Generator -- 5 Experiments -- 5.1 Experimental Settings -- 5.2 Results and Analyses -- 6 Conclusion -- References -- Adversarial and Implicit Modality Imputation with Applications to Depression Early Detection -- 1 Introduction -- 2 Proposed Method -- 2.1 Learning Multi-modal Representations via Auto-encoding -- 2.2 Adversarial and Implicit Modality Imputation (AIMI) -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Comparisons on Robust Multi-modal ; Depression Diagnosis -- 3.3 Advantages on Modality Imputation and Representation -- 4 Conclusion -- References -- EdgeVR360: Edge-Assisted Multiuser-Oriented Intelligent 360-degree Video Delivery Scheme over Wireless Networks -- 1 Introduction -- 2 Related Works -- 2.1 360-degree Video.; 2.2 DRL-Based 360-degree Video Delivery.

Integrated cardiac safety : assessment methodologies for noncardiac drugs in discovery, development, and postmarketing surveillance / / J. Rick Turner, Todd A. Durham

• Record Nr.: UNINA9910144409203321
• Autore: Turner J. Rick
• Pubbl/distr/stampa: Hoboken, N.J., : John Wiley & Sons, c2009
• ISBN: 9786612002069; 9781282002067; 1282002066; 9780470411292; 0470411295; 9780470411285; 0470411287
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (500 p.)
• Altri autori (Persone): DurhamTodd A
• Disciplina: 616.1/23061
• Soggetti: Cardiovascular toxicology; Heart - Effect of drugs on; Drugs - Side effects - Testing; Drugs - Safety measures
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 397-455) and index.
• Nota di contenuto: The importance of cardiac safety assessments -- The biological basis of adverse drug reactions -- Cardiac structure and function -- Cardiac pathophysiology and disease -- Drug discovery and drug design -- Nonclinical development -- The thorough QT/QTc trial -- General safety assessments -- Therapeutic use trials and meta-analyses -- ; Assessment methodologies in nonexperimental postmarketing surveillance -- Postmarketing proarrhythmic cardiac safety assessments -- Generalized cardiac safety -- Medication errors, adherence, and concordance -- Future directions in drug safety.
• Sommario/riassunto: The serious nature of cardiovascular adverse drug reactions occurring in patients makes assessment of a drug's cardiac safety profile a high priority during both development and post-approval monitoring. Integrated Cardiac Safety provides necessary guidance and methodology for professionals assessing cardiac safety of drugs throughout all stages of the drug's life, from discovery and development through postmarketing research. This self-contained, reader-friendly text is valuable to professionals in the pharmaceutical, biotechnology, and CRO industries, pharmacologists, toxicologists, g