Evaluation of Explanation Methods of AI - CNNs in Image Classification Tasks with Reference-based and No-reference Metrics
DOI: 10.54364/AAIML.2023.114316-Jan-2023
Benois-Pineau, Jenny
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 620-646
Abstract PDF Citation Info via Semantic ScholarMachine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data
DOI: 10.54364/AAIML.2023.114415-Feb-2023
Sheela Ramanna
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 647-668
Abstract PDF Citation Info via Semantic ScholarAutonomous Vehicles: Open-Source Technologies, Considerations, and Development
DOI: 10.54364/AAIML.2023.114515-Feb-2023
Oussama Saoudi
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 669-692
Abstract PDF Citation Info via Semantic ScholarOptimizing Distributed Face Recognition Systems through Efficient Aggregation of Facial Embeddings
DOI: 10.54364/AAIML.2023.114623-Feb-2023
Philipp Hofer
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 693-711
Abstract PDFParametric PDF for Goodness of Fit
DOI: 10.54364/AAIML.2023.114722-Feb-2023
Natan katz
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 711-730
Abstract PDF Citation Info via Semantic ScholarThe self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system
DOI: 10.54364/AAIML.2023.114801-Mar-2023
Artem Vorontsov
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 731-759
Abstract PDF Citation Info via Semantic ScholarAN EXPERIMENTAL STUDY OF DIMENSION REDUCTION METHODS ON MACHINE LEARNING ALGORITHMS WITH APPLICATIONS TO PSYCHOMETRICS
DOI: 10.54364/AAIML.2023.114903-Mar-2023
Sean Hyrum Merritt
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 760-777
Abstract PDF Citation Info via Semantic ScholarGoal Agnostic Learning and Planning without Reward Functions
DOI: 10.54364/AAIML.2023.115004-Mar-2023
Christopher Robinson
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 778-815
Abstract PDF Citation Info via Semantic ScholarExploring Mid-Market Strategies for Big Data Governance
DOI: 10.54364/AAIML.2023.115120-Mar-2023
Ken Knapton
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 816-838
Abstract PDF Citation Info via Semantic ScholarEuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry
DOI: 10.54364/AAIML.2023.115221-Mar-2023
Chee Wei Tan
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 839-852
Abstract PDF Citation Info via Semantic ScholarPredicting Survival of Tongue Cancer Patients by Machine Learning Models
DOI: 10.54364/AAIML.2023.115322-Mar-2023
Angelos Vasilopoulos and Nan Miles Xi
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 853-867
Abstract PDF Citation Info via Semantic ScholarManaging the Bottleneck with PCB - Consequences of a Comprehensive Field Study
DOI: 10.54364/AAIML.2023.115423-Mar-2023
Bernd Langer
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 868-894
Abstract PDF Citation Info via Semantic ScholarA Survey on Trust Metrics for Autonomous Robotic Systems
DOI: 10.54364/AAIML.2023.115524-Mar-2023
Vincenzo DiLuoffo
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 895-946
Abstract PDF Citation Info via Semantic ScholarSuperintelligence Safety: A Requirements Engineering Perspective
DOI: 10.54364/AAIML.2023.115625-Mar-2023
Hermann Kaindl
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 947-957
Abstract PDF Citation Info via Semantic ScholarGeneral Cyclical Training of Neural Networks
DOI: 10.54364/AAIML.2023.115730-Mar-2023
Leslie N. Smith
Adv. Artif. Intell. Mach. Learn., 3 (1 ): 958-976
Abstract PDF Citation Info via Semantic Scholar