Search Results - 68T05 Learning and adaptive systems in artificial intelligence

A machine learning approach for improved resource allocation in COVID-19 ICUs using HRCT scans and clinical data.

Authors: Sedaghat, Shahrzad Nazernejad, Mahdi Sanie Jahromi, Mohammad Sadegh

Source: Computing. Apr2025, Vol. 107 Issue 4, p1-27. 27p.

Data-driven artificial intelligence to automate researcher assessment.

Authors: Weber, Rosina O. Duarte, Kedma B.

Source: Scientometrics. Apr2021, Vol. 126 Issue 4, p3265-3281. 17p.

Subject Terms: *Artificial intelligence, *Machine learning, Case-based reasoning, Job descriptions, Research institutes

Machine learning approach for phishing website detection : A literature survey.

Authors: Patil, Rutuja R. Kaur, Gagandeep Jain, Himank et al.

Source: Journal of Discrete Mathematical Sciences & Cryptography. May2022, Vol. 25 Issue 3, p817-827. 11p.

Subject Terms: *PHISHING, *DIGITAL transformation, *MACHINE learning, *COMPUTER passwords, *CREDIT cards, *CYBERTERRORISM

Artificial Intelligence: A Child's Play

Authors: Kashyap, Ravi

Subject Terms: Computer Science - Artificial Intelligence, 68Q32 Computational learning theory, 68T05 Learning & adaptive systems, 97R40 Artificial intelligence, 91E10 Cognitive psychology, 60J60 Diffusion processes, I.2.0, I.2.6, I.2.8, F.4.3, G.3, psy, phil

Relation: http://arxiv.org/abs/1907.04659

Availability: http://arxiv.org/abs/1907.04659

A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation

Authors: Impraimakis, Marios Palkanoglou, Evangelia Nektaria

Subject Terms: Machine Learning, Artificial Intelligence, Computer Vision and Pattern Recognition, Systems and Control, Signal Processing, 68T05 (Learning and adaptive systems) 93C95 (Neural networks in control theory), I.2.6, I.2.8

Relation: http://arxiv.org/abs/2511.00099

Availability: http://arxiv.org/abs/2511.00099
https://doi.org/10.1007/s00158-025-04162-0

A convolutional neural network deep learning method for model class selection

Authors: Impraimakis, Marios

Subject Terms: Systems and Control, Artificial Intelligence, Computer Vision and Pattern Recognition, Machine Learning, Signal Processing, 68T05 (Learning and adaptive systems) 93C95 (Neural networks in control theory), I.2.6, I.2.8

Relation: http://arxiv.org/abs/2511.03743

Availability: http://arxiv.org/abs/2511.03743
https://doi.org/10.1002/eqe.4045

Artificial Intelligence: A Child’s Play

Authors: Ravi Kashyap

Source: Technological Forecasting and Social Change. 166:120555

Subject Terms: FOS: Computer and information sciences, 0301 basic medicine, 0303 health sciences, Computer Science - Artificial Intelligence, I.2.6, I.2.8, G.3, I.2.0, F.4.3, 03 medical and health sciences, Artificial Intelligence (cs.AI), 68Q32 Computational learning theory, 68T05 Learning & adaptive systems, 97R40 Artificial intelligence, 91E10 Cognitive psychology, 60J60 Diffusion processes

Access URL: http://arxiv.org/pdf/1907.04659
http://arxiv.org/abs/1907.04659
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3048699
https://www.ssrn.com/abstract=3048699
https://ui.adsabs.harvard.edu/abs/2019arXiv190704659K/abstract
https://EconPapers.repec.org/RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162520313810
https://arxiv.org/abs/1907.04659
https://scholars.cityu.edu.hk/en/publications/artificial-intelligence(1f9d96d0-e233-436e-a1d4-cc796314b7b2).html
https://arxiv.org/pdf/1907.04659
http://arxiv-export-lb.library.cornell.edu/abs/1907.04659

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks

Authors: Islam, Fahmida Mahmood, Adnan Mukhtiar, Noorain et al.

Subject Terms: Machine Learning, 68T05 = Learning and adaptive systems (AI) 68T07 = Artificial neural networks and deep learning 68M14 = Distributed systems, I.2.6, I.2.11, C.2.4

Relation: http://arxiv.org/abs/2509.20193

Availability: http://arxiv.org/abs/2509.20193
https://doi.org/10.1007/978-981-96-0814-0_17

Adaptive Reinforcement Learning for State Avoidance in Discrete Event Systems

Authors: Dony, Md Nur-A-Adam

Subject Terms: 68T05 % Learning and adaptive systems in AI, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control

Access URL: http://arxiv.org/abs/2503.00192

A Kullback-Leibler divergence method for input-system-state identification

Authors: Impraimakis, Marios

Subject Terms: Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Theory, Systems and Control, 68T05 (Learning and adaptive systems), I.2.6, I.2.8

Relation: http://arxiv.org/abs/2511.02426; Journal of Sound and Vibration 569 (2024): 117965

Availability: http://arxiv.org/abs/2511.02426
https://doi.org/10.1016/j.jsv.2023.117965

FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning

Authors: Chen, Leiming Zhang, Weishan Dong, Cihao et al.

Source: COMPUTING AND INFORMATICS; Vol. 43 No. 1 (2024): Computing and Informatics; 1–37

Subject Terms: FOS: Computer and information sciences, 68T05 Learning and adaptive systems in artificial intelligence, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Federated Learning, Model Fusion, Model Attack, Reinforcement Learning, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2307.13716
https://www.cai.sk/ojs/index.php/cai/article/view/2024_1_1

An unscented Kalman filter method for real time input-parameter-state estimation

Authors: Impraimakis, Marios Smyth, Andrew W.

Subject Terms: Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Systems and Control, Audio and Speech Processing, 68T05 (Learning and adaptive systems), I.2.6, I.2.8

Relation: http://arxiv.org/abs/2511.02717; Mechanical Systems and Signal Processing 162 (2022): 108026

Availability: http://arxiv.org/abs/2511.02717
https://doi.org/10.1016/j.ymssp.2021.108026

The role of diversity and ensemble learning in credit card fraud detection

Authors: Paldino, Gian Marco Lebichot, Bertrand Le Borgne, Yann-Aël et al.

Source: Advances in Data Analysis and Classification, 18 (1

Subject Terms: Mathématiques, Informatique appliquée logiciel, 68T05 Learning and adaptive systems in artificial intelligence, Concept drift, Diversity, Ensemble learning, Finance, Fraud detection

File Description: 2 full-text file(s): application/pdf | application/pdf

Relation: uri/info:scp/85139089393; https://dipot.ulb.ac.be/dspace/bitstream/2013/372242/9/diversity_short.pdf; https://dipot.ulb.ac.be/dspace/bitstream/2013/372242/1/elsevier_355886.pdf

Availability: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/372242
https://dipot.ulb.ac.be/dspace/bitstream/2013/372242/9/diversity_short.pdf
https://dipot.ulb.ac.be/dspace/bitstream/2013/372242/1/elsevier_355886.pdf

A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings

Authors: Hosen, Md Millat

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 68T05 (Learning and adaptive systems), 68T07 (Artificial intelligence and education)

Access URL: http://arxiv.org/abs/2504.15610

The role of diversity and ensemble learning in credit card fraud detection

Authors: Paldino G. M. Lebichot B. Le Borgne Y. -A. et al.

Source: Adv Data Anal Classif

Subject Terms: Mathématiques, 68T05 Learning and adaptive systems in artificial intelligence, Diversity, Fraud detection, Ensemble learning, 0202 electrical engineering, electronic engineering, information engineering, Informatique appliquée logiciel, Regular Article, 02 engineering and technology, Concept drift, Finance

File Description: application/pdf; 2 full-text file(s): application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/36188101
https://hdl.handle.net/11311/1233523
https://doi.org/10.1007/s11634-022-00515-5
https://link.springer.com/article/10.1007/s11634-022-00515-5

What is Missing in XAI So Far?

Authors: Schmid, Ute Wrede, Britta

Subject Terms: 68T01: general, 68T05: learning and adaptive systems, Explainable AI, Human-centred AI, Hybrid AI

Relation: KI - Künstliche Intelligenz: Vol. 36, No. 0; KI - Künstliche Intelligenz; https://dl.gi.de/handle/20.500.12116/40056

Availability: https://dl.gi.de/handle/20.500.12116/40056
https://hdl.handle.net/20.500.12116/40056
https://doi.org/10.1007/s13218-022-00786-2

Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment

Authors: Nurlanuly, Arsen Tolebay

Subject Terms: FOS: Computer and information sciences, Computer Science - Computation and Language, I.5.1, H.3.3, I.2.7, 68T50 (Natural Language Processing), 68T05 (Learning and Adaptive Systems), Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2502.17143

200 Novel Disciplines in Mathematics and Artificial Intelligence

Authors: SÉRGIO DE ANDRADE, PAULO orcid:0009-0004-2555-

Subject Terms: Artificial Intelligence, Machine Learning, Deep Learning, Mathematical Foundations, Optimization Theory, Information Theory, Neural Networks, Representation Learning, Cognitive Architectures, Biologically-Inspired Learning

Relation: https://zenodo.org/records/17254507; oai:zenodo.org:17254507; https://doi.org/10.5281/zenodo.17254507

Availability: https://doi.org/10.5281/zenodo.17254507
https://zenodo.org/records/17254507

A Critical Review of the state-of-the-art on Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes

Authors: Tena, Felix Garnica, Oscar Lanchares, Juan et al.

Subject Terms: 0301 basic medicine, FOS: Computer and information sciences, Computer Science - Machine Learning, 0303 health sciences, 03 medical and health sciences, FOS: Biological sciences, 68T05 (Learning and adaptive systems in artificial intelligence), Quantitative Biology - Quantitative Methods, Quantitative Methods (q-bio.QM), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2109.02178

Deep Reinforcement Learning from Self-Play in No-limit Texas Hold'em Poker

Authors: Tidor-Vlad PRICOPE

Source: Studia Universitatis Babes-Bolyai: Series Informatica, Vol 66, Iss 2 (2021)

Subject Terms: Artificial Intelligence, Computer Poker, Adaptive Learning, Fictitious Play, Self-Play, Deep Reinforcement Learning, Neural Networks., Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://193.231.18.162/index.php/subbinformatica/article/view/1188; https://doaj.org/toc/2065-9601

Access URL: https://doaj.org/article/52282884eba44791a74b43c0919f7efb