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ORCIDAdvances in Artificial Intelligence and Machine Learning, Volume 3
Volume 3, Number 1, 2023
- Alexey Zhukov
, Jenny Benois-Pineau, Romain Giot:
Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics. 620-646 - Sheela Ramanna, Danila Morozovskii, Sam Swanson, Jennifer Bruneau:
Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data. 647-668 - Oussama Saoudi, Ishwar Singh, Hamidreza Mahyar:
Autonomous Vehicles: Open-Source Technologies, Considerations, and Development. 669-692 - Philipp Hofer, Michael Roland, René Mayrhofer, Philipp Schwarz:
Optimizing Distributed Face Recognition Systems through Efficient Aggregation of Facial Embeddings. 693-711 - Natan Katz, Uri Itai:
Parametric PDF for Goodness of Fit. 711-730 - Artem M. Vorontsov, Grigory A. Filimonov:
The Self-Learning AI Controller for Adaptive Power Beaming With Fiber-Array Laser Transmitter System. 731-760 - Sean H. Merritt, Alexander P. Christensen:
An Experimental Study of Dimension Reduction Methods on Machine Learning Algorithms with Applications to Psychometrics. 760-777 - Christopher Kevin Robinson, Joshua Lancaster:
Goal Agnostic Learning and Planning without Reward Functions. 778-815 - Ken Knapton:
Exploring Mid-Market Strategies for Big Data Governance. 816-838 - Man-Fai Wong, Xintong Qi, Chee Wei Tan:
EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry. 839-853 - Angelos Vasilopoulos, Nan Miles Xi:
Predicting Survival of Tongue Cancer Patients by Machine Learning Models. 853-867 - Bernd Langer, Bernd Gems, Maik Mussler, Karen Schmahl, Christoph Roser:
Managing the Bottleneck with PCB - Consequences of a Comprehensive Field Study. 868-895 - Vincenzo DiLuoffo, William R. Michalson:
A Survey on Trust Metrics for Autonomous Robotic Systems. 895-946 - Hermann Kaindl, Jonas Ferdigg:
Superintelligence Safety: A Requirements Engineering Perspective. 947-957 - Leslie N. Smith:
General Cyclical Training of Neural Networks. 958-976
Volume 3, Number 2, 2023
- Steven Moonen:
CAD2Render: A Synthetic Data Generator for Training Object Detection and Pose Estimation Models in Industrial Environments. 977-995 - Takato Yasuno, Masahiro Okano, Junichiro Fujii:
One-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application. 996-1011 - John Pomerat, Aviv Segev:
A Comparison of Methods for Neural Network Aggregation. 1012-1024 - Mikolaj Sitarz:
Extending F1 Metric, Probabilistic Approach. 1025-1038 - Omer Abdulhaleem Naser, Sharifah Mumtazah Syed Ahmad, Khairulmizam Samsudin, Marsyita Hanafi:
Investigating the Impact of Yaw Pose Variation on Facial Recognition Performance. 1039-1055 - Dong Zhang:
Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era. 1056-1093 - Didier El Baz:
Can We Trust Chatbots for Now? Accuracy, Reproducibility, Traceability; A Case Study on Leonardo Da Vinci's Contribution to Astronomy. 1094-1109 - Youzhi Liang, Wen Liang, Jianguo Jia:
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN. 1110-1122 - Xuanyue Yang, Wenting Ye, Luke Breitfeller, Tianwei Yue, Wenping Wang:
Linguistically-Inspired Neural Coreference Resolution. 1122-1134 - Noah Barrett, Zahra Sadeghi, Stan Matwin:
Evolutionary Augmentation Policy Optimization for Self-Supervised Learning. 1135-1164 - Hyeoncheol Cho, Youngrock Oh, Eunjoo Jeon:
SEEN: Seen: Sharpening Explanations for Graph Neural Networks Using Explanations From Neighborhoods. 1165-1179 - Xin Shen, Kyungdon Joo, Jean Oh:
FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration. 1180-1197 - Shathushan Sivashangaran, Azim Eskandarian:
Deep Reinforcement Learning for Autonomous Ground Vehicle Exploration Without A-Priori Maps. 1198-1219 - Keyi Yu, Yu Wang, Sihan Zeng, Chen Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang:
InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs. 1220-1233
Volume 3, Number 3, 2023
- Yanan Zhang, Yiying Zhang, Anca L. Ralescu:
Hybrid Vehicle Timetable Scheduling Under Fuzzy Decision Making. 1234-1247 - Peter Stratton, Sandilya Sai Garimella, Ashwin Saxena, Nibarkavi Amutha, Emaad Gerami:
Volume-DROID: A Real-Time Implementation of Volumetric Mapping with DROID-SLAM. 1248-1258 - Wenping Wang, Jin Han, Chen Liang, Tong Chen, Chengze Fan, Jingxian huang:
Sentiment Analysis: A Systematic Case Study with Yelp Scores. 1259-1273 - Wilson Bakasa, Serestina Viriri:
Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas. 1274-1294 - Ramlah Abdulmalik, Gautam Srivastava:
Forecasting of Transportation-related CO2 Emissions in Canada with Different Machine Learning Algorithms. 1295-1312 - Lin Chih-Yuan, Wei Chun-Sheng, Chen Chao-Chien:
The Image Recognition System implemented in Aquaculture Stewardship. 1313-1324 - Longxiang Zhang, Wenping Wang, Keyi Yu, Jingxian Huang, Qi Lyu, Haoru Xue, Congrui Hetang:
Sliding-Bert: Striding Towards Conversational Machine Comprehension in Long Contex. 1325-1339 - Wen-Fu Yang, Hsiu-Hao Liu, Chung-Te Ting:
The Feasibility of Applying Artificial Intelligence Detection Technology in Predicting the Risk of Hypertension. 1340-1351 - Jeongseok Kim, Kangjin Kim:
Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration. 1352-1368 - Tong Chen, Sicong Liu, Zhiran Chen, Wenyan Hu, Dachi Chen, Yuanxin Wang, Qi Lyu, Cindy X. Le, Wenping Wang:
Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks. 1369-1388 - Santhosh Shivaprakash, Sannangi Viswaradhya Rajashekararadhya:
A Novel Framework of Face Recognition using Heuristic Development of Ensemble Classifier Model. 1389-1406 - Santhosh Shivaprakash, Sannangi Viswaradhya Rajashekararadhya:
A Smart Face Recognition and Verification using Optimal Spatial and Spectral Feature Selection with Adaptive Multiscale Mobilenet. 1407-1443 - Ke Wan, Alain L. Kornhauser:
On the Properties of Gaussian Copula Mixture Models. 1444-1459 - Sarabjeet Kaur Kochhar, Anamika Gupta:
Deploying Change Modeling to Study the Evolution of COVID-19 Related Menstrual Health Issues. 1460-1481 - Imran bin Zulkiflee, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen, Lucia Dwi Krisnawati:
Customer Relationship Management for Better Insights with Descriptive Analytics. 1482-1493 - Sarfaraz Ahmed Mohammed, Senuka D. Abeysinghe, Anca L. Ralescu:
Feature Selection and Comparative Analysis of Breast Cancer Prediction Using Clinical Data and Histopathological Whole Slide Images. 1494-1525
Volume 3, Number 4, 2023
- Jean Dessain:
Improving the Prediction of Asset Returns With Machine Learning by Using a Custom Loss Function. 1640-1653 - Parthasarathy Srinivasan:
Benchmarking Differential Evolution on a Quantum Simulator. 1685-1698 - Elham Abdulwahab Anaam, Su-Cheng Haw, Palanichamy Naveen, Kok-Why Ng:
Blockchain-Based Recommendation System: A Review Focusing On Security Aspect. 1572-1587 - Yassir Zardoua, Brahim Beguiel Bergor, Abdelhamid El Wahabi, Anouar El Mourabit, Moussab Chbeine, Abdelali Astito:
A Horizon Line Annotation Software for Streamlining Autonomous Sea Navigation Experiments. 1768-1786 - Alexander J. Medeiros, Lee Stearns, Jon E. Froehlich:
Handsight: DeCAF & Improved Fisher Vectors to Classify Clothing Color and Texture With a Finger-Mounted Camera. 1787-1799 - Shikha Gupta, Priyanka Gupta:
Parameter Tuning of Coronavirus Herd Immunity Optimizer for Detection of Communities in Social Networks. 1728-1742 - Akhyt Tilyeubai, Javzmaa Tsend, Bayarmaa Vaanchindorj, Galbadrakh Chuluunbaatar, Baasandorj Chilkhaasuren, Ajnai Luvsan-Ish, Jargalbat Puntsagdash, Purevdolgor Luvsantseren, Bat-Enkh Oyunbileg:
Significance Statistical Test Analysis on Classification Models of Adolescent's Emotional Problems. 1743-1757 - Yihui He, Jianing Qian, Cindy X. Le, Congrui Hetang, Qi Lyu, Wenping Wang, Tianwei Yue:
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks. 1699-1719 - Cheonsu Jeong:
A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture. 1588-1618 - Abdulelah Sameer Sindi, Luca Fiorillo, Ankita Mathur, Mohammad Kashif Noorani, Mohamed S. M. Morsy, Khurshid Mattoo, Vini Mehta:
The Role and Impact of Artificial Intelligence on the Future of Dental Radiography - A Mini-Review. 1720-1727 - Xiaolei Lian, Chonglin Tang:
GE-Blender: Graph Based Knowledge Enhancement for Blender. 1572-1587 - Hsiang-Hui Liu, Han-Jay Shu, Wei-Ning Chiu:
Noxtrader: Lstm-Based Stock Return Momentum Prediction For Quantitative Trading. 1670-1680 - Senuka D. Abeysinghe, Sarfaraz Ahmed Mohammed, Anca L. Ralescu:
A Note on Plant Virus Images for Use in Machine Learning. 1825-1833 - Onaopepo Adekunle, Arno Riedl, Michel Dumontier:
Evidence From Data Science on the Relationship Between Individual Beliefs/Behaviors Survey During COVID-19 Pandemic and Risk Preference. 1800-1824 - Wen-Fu Yang, Hsiu-Hao Liu, Chung-Te Ting:
Feasibility Study on Assessing Emotional Health: Applications of Artificial Intelligence. 1758-1767 - Siti Husna Abdul Rahman, Chastan Nevin Gabriel, Su-Cheng Haw, Ahmad Anwar Zainuddin:
Blockchain Malware Detection Tool Based on Signature Technique. 1654-1670 - Sarabjeet Kaur Kochhar, Chinmay Chahar:
Performing Stance Classification and Bot Detection on the Indian Farmers' Protest - A Study to Unveil Hidden Perspectives. 1619-1639 - Ivan Laishevskiy, Artem Barger, Vladimir Gorgadze:
A Journey Towards the Most Efficient State Database For Hyperledger Fabric. 1526-1556
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