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Advances in Artificial Intelligence and Machine Learning, Volume 2
Volume 2, Number 1, 2022
- Richard F. Sear
, Rhys Leahy, Nicholas Johnson Restrepo, Yonatan Lupu, Neil F. Johnson:
Dynamic Latent Dirichlet Allocation Tracks Evolution of Online Hate Topics. 257-272 - Elisabete A. De Nadai Fernandes
Machine learning to support geographical origin traceability of Coffea Arabica. 273-287 - Matthew Avaylon, Robbie Sadre, Zhe Bai
Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation. 288-302 - Wei Zhang, Ilya Reznik:
Estimating Data Loss At Scale. 303-314 - Juliana Negrini de Araujo, Vasile Palade, Tabassom Sedighi, Alireza Daneshkhah
Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study. 315-337
Volume 2, Number 2, 2022
- Javier Viaña
Why Cauchy Membership Functions: Reliability. - Najla AL-Qawasmeh, Ching Y. Suen:
Transfer Learning to Detect Age From Handwriting. - Roman Englert, Jörg Muschiol:
Numerical Evidence That the Power of Artificial Neural Networks Limits Strong AI. 338-346 - Supun Sudaraka, Ishanya I. Abeyagunawardena, Raahya Lafir, Samath Dharmaratne:
Association of Social, Demographic, Health, Nutritional and Environmental Factors With the Incidence and Death Rates of COVID-19; a Global Cross-Sectional Analytical Study. 347-365 - Nicholas Gabriel, Neil F. Johnson:
Using Neural Architectures to Model Complex Dynamical Systems. 366-384
Volume 2, Number 3, 2022
- Cameron Cooper
Using Machine Learning to Identify At-risk Students in an Introductory Programming Course at a Two-year Public College. 407-421 - Azad Aminpour, Mehran Ebrahimi, Elysa Widjaja:
Lesion Segmentation in Paediatric Epilepsy Utilizing Deep Learning Approaches. 422-440 - Mrouj Almuhajri, Ching Y. Suen:
AI Based Approach for Shop Classification and a Comparative Study with Human. 441-455 - Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich:
Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning. 456-468 - Gautam Srivastava:
The Emergence of Heterogeneous Networks. 469-470
Volume 2, Number 4, 2022
- Guofan Shao, Hao Zhang, Jinyuan Shao, Keith Woeste, Lina Tang:
Strengthening Machine Learning Reproducibility for Image Classification. 471-476 - Gia Sirbiladze, Teimuraz Mandjaparashvili, Bidzina Midodashvili, Bezhan Ghvaberidze, David Mikadze:
Representation of a Crisp Set as a Pair of Dual Fuzzy Sets. 477-500 - Amit Saxena, Deepesh Chugh, Himanshu Mittal, Mohammad Sajid, Ritu Chauhan, Eiad Yafi, Jian Cao, Mukesh Prasad
A Novel Unsupervised Feature Selection Approach Using Genetic Algorithm on Partitioned Data. 500-515 - Ines Rahmany, Sami Mahfoudhi, Mushira Freihat, Tarek Moulahi:
Missing Data Recovery in the E-health Context Based on Machine Learning Models. 516-532 - Taner Dosluoglu, Martin MacDonald:
Circuit Design for Predictive Maintenance. 533-539 - Seth Reine, Holden Archer
Deep Learning-Generated Radiographic Hip Dysplasia Parameters: Relationship to Postoperative Patient-Reported Outcome Measures. 540-556 - Andreas Gavros, Foteini Gavrou:
Can a Face Tell Us Anything About an NBA Prospect? - A Deep Learning Approach. 557-566 - Joseph Levitas, Konstantin Yavilberg, Oleg Korol, Genadi Man:
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction. 567-579 - Farhana Faruqe, Ryan Watkins, Larry R. Medsker:
Competency Model Approach to AI Literacy: Research-Based Path From Initial Framework to Model. 580-587 - Negar Nejatishahidin, Pooya Fayyazsanavi:
Review on 6D Object Pose Estimation With the Focus on Indoor Scene Understanding. 588-613 - Emanuel Diamant:
The Brain Is Processing Information: Then, Why Does Research Into Human Brain Disorders So Firmly Avoids Information Processing Modeling? 614-619
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