AI 2022: Advances in Artificial Intelligence (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
817
Utgivningsdatum
2022-12-03
Upplaga
1st ed. 2022
Förlag
Springer International Publishing AG
Medarbetare
Aziz, Haris (ed.), French, Tim (ed.), Corrêa, Débora (ed.)
Illustrationer
220 Illustrations, color; 33 Illustrations, black and white; XXIV, 817 p. 253 illus., 220 illus. in
Dimensioner
234 x 156 x 42 mm
Vikt
1158 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783031226946

AI 2022: Advances in Artificial Intelligence

35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 58, 2022, Proceedings

Häftad,  Engelska, 2022-12-03
1288
  • Skickas från oss inom 10-15 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
This book constitutes the refereed proceedings of the 35th Australasian Joint Conference on Artificial Intelligence, AI 2022, which took place in Perth, WA, Australia, in December 58, 2022. The 56 full papers included in this book were carefully reviewed and selected from 90 submissions. They were organized in topical sections as follows: Computer Vision; Deep Learning; Ethical/Explainable AI; Genetic Algorithms; Knowledge Representation and NLP; Machine Learning; Medical AI; Optimization; and Reinforcement Learning.
Visa hela texten

Passar bra ihop

  1. AI 2022: Advances in Artificial Intelligence
  2. +
  3. Doppelganger

De som köpt den här boken har ofta också köpt Doppelganger av Naomi Klein (häftad).

Köp båda 2 för 1422 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Innehållsförteckning

Computer Vision.- Automated On-Vehicle Road Defect Data Collection and Detection.- Vision Transformer Based Model for Describing a Set of Images as a Story.- Diverse Audio-to-Video GAN using Multiscale Image Fusion.- Zero-shot Personality Perception From Facial Images.- Multi-view based clustering of 3D LiDAR point clouds for intelligent vehicles.- Deep Learning.- FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity.- SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation.- Explainable Detection of Microplastics Using Transformer Neural Networks.- EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.- Impact of Mathematical Norms on Convergence of Gradient Descent Algorithms for Deep Neural Networks Learning.- The Feasibility of Deep Counterfactual Regret Minimisation for Trading Card Games.- Are Graph Neural Network Explainers Robust to Graph Noises?.- Ethical/Explainable AI.- Towards Explainable AutoML Using Error Decomposition.- Does A Compromise on Fairness Exist in Using AI Models?.- Fairness Aware Swarm-based Machine Learning for Data Streams.- Explainable Network Intrusion Detection Using External Memory Models.- Genetic Algorithms.- Handling Different Preferences between Objectives for Multi-objective Feature Selection in Classification.- Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection.- Evolution Strategies for Sparse Reward Gridworld Environments.- Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers.- Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming.- Knowledge Representation and NLP.- QUARRY: A Graph Model for Queryable Association Rules.- Using Context-Free Grammar To Generate Synthetic Technical Short Texts.- Predicting Marimba Stickings Using Long Short-Term Memory Neural Networks.- Systematic Monotonicity and Consistency for Adversarial Natural Language Inference.- Understanding Document Data Sources Using Ontologies with Referring Expressions.- Tyche: A Library for Probabilistic Reasoning and Belief Modelling in Python.- Belief Revision with Dishonest Reports.- Machine Learning.- Active Learning for kNN using Instance Impact.- Multiclass Malware Classification using either Static Opcodes or Dynamic API Calls.- A Novel Approach to Time Series Complexity via Reservoir Computing.- Boosted SelfEvolving Neural Networks for Pattern Recognition.- Machine learning inspired fault detection of dynamical networks.- Medical AI.- Multiclass Classification for GvHD Prognosis Prior to Allogenic Stem Cell Transplantation.- What Leads to Arrhythmia: Active Causal Representation Learning of ECGClassification.- Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.- Automated Radiology Report Generation using a Transformer-Template System: Improved Clinical Accuracy and an Assessment of Clinical Safety.- 3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis.- Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes.- Cognitive impairment prediction by normal cognitive brain MRI scans using deep learning.- A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation.- Multi-componential Emotion Recognition in VR Using Physiological Signals.- Liver Disease Classification by Pruning Data Dependency Utilizing Ensemble Learning Based Feature Selection.- Medical Optimization.- Optimizing the Feature Set for Machine Learning Charitable Predictions.- Operation-based Greedy Algorithm for Discounted KnapsackProblem.- Dynamic Bus Holding Control Using Spatial-Temporal Data A Deep Reinforcement Learning Approach.- Latent Pattern Identification using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization.- Efficiency and Truthfulness in Dial-a-Ride Probl