Výsledky vyhledávání - "Explainable AI"

Exploring Deep Learning and Explainable AI for Precise Rice Leaf Disease Detection and Classification

Autoři: Mahmud, Tanjim Sharmin Akter, Mst. Akter, Tahmina a další

Zdroj: IEEE Access. 13:162821-162844

Témata: Rice leaf diseases, edge detection, Prewitt, Canny, deep learning, explainable AI, Cyber Security, Cybersäkerhet

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114966
https://doi.org/10.1109/ACCESS.2025.3609671

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Autoři: Muhammad, Dost Ahmed, Iftikhar Ahmad, Muhammad Ovais, Associate Professor/Lektor a další

Zdroj: IEEE journal of biomedical and health informatics. 29(9):6474-6481

Témata: Contrastive Learning, Deep learning, Diseases, Federated learning, Explainable AI, Extreme learning machine, Functional links, Healthcare, Learning machines, Neural-networks, Random vector functional link, Random vectors, Randomized neural network, Adversarial machine learning, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102438
https://doi.org/10.1109/JBHI.2024.3491593

MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification

Autoři: Rayed, Md. Eshmam Jim, Jamin Rahman Islam, Md Juniadul a další

Zdroj: IEEE Access. 13:93977-94008

Témata: Accuracy, Plant diseases, Computational modeling, Deep learning, Computer architecture, Crops, Mathematical models, Robustness, Real-time systems, Image classification, Image processing, convolutional neural network, mango leaf disease, explainable AI

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72165
https://doi.org/10.1109/ACCESS.2025.3571450

Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability

Autoři: Merabet, A. Saighi, A. Laboudi, Z. a další

Zdroj: International Journal of Medical Informatics. 206

Témata: Colon-cancer histopathology, ConvNeXt-tiny, Explainable AI (XAI), Few-shot learning, Grad-CAM, LIME, Prototypical network, t-SNE visualization

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-56034
https://doi.org/10.1016/j.ijmedinf.2025.106167

Imbalanced data oversampling through subspace optimization with Bayesian reinforcement

Autoři: Kumbhar, Mahesh Bandaru, Sunith Karlsson, Alexander

Zdroj: TOPAZ - Towards Prescriptive Analytics in Virtual Factories through Structured Data Mining and Optimization Integrated Manufacturing Analytics Platform for Predictive Maintenance with IoT Artificial Intelligence Review. 59(1)

Témata: Imbalanced data, Oversampling, Nonlinear optimization, Dirichlet distribution, Bayesian reinforcement, Density-based, Features subspace, Feature importance, Explainable-AI, Virtual Production Development (VPD), Skövde Artificial Intelligence Lab (SAIL)

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25994
https://doi.org/10.1007/s10462-025-11417-1

Contributions to explainable deep learning models

Autoři: Adhane, Gereziher

Přispěvatelé: University/Department: Universitat Oberta de Catalunya. Escola de Doctorat

Thesis Advisors: Masip Rodó, David, Dehshibi, Mohammad Mahdi

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: explicabilitat en la IA, explicabilidad en la IA, explainable AI, transparència, transparencia, transparency, incertesa en els models, incertidumbre en los modelos, model uncertainty, selecció de mostres, selección de muestras, sample selection, explicabilitat visual, explicabilidad visual, visual explainability, deep learning

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/692101

Fast calibrated explanations: Efficient and uncertainty-aware explanations for machine learning models

Autoři: Löfström, Tuwe Yapicioglu, Fatima Rabia Stramiglio, Alessandra a další

Zdroj: PREMACOP ETIAI Explainable Artificial Intelligence Communications in Computer and Information Science. :340-363

Témata: Calibrated Explanations, ConformaSight, Uncertainty Quantification, Explainable AI, ConformalPredictiveSystems, Venn-Abers

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-70151
https://doi.org/10.1007/978-3-032-08333-3_16

An interpretable machine learning model to predict hospitalizations

Autoři: Hagar Elbatanouny Hissam Tawfik Tarek Khater a další

Zdroj: Clinical eHealth, Vol 8, Iss, Pp 53-65 (2025)

Témata: Interpretable models, Machine learning, Explainable AI, COVID-19, Medicine, Pandemics, Hospital management

Přístupová URL adresa: https://doaj.org/article/e88fb3f78b7345df9c34f537b3e1a805

Needs assessment in crisis contexts: Generating a synthetic population from limited demographic data

Autoři: Wetterwald, Pierre Saarela, Mirka Vozel, Benoit a další

Přispěvatelé: Wetterwald, Pierre Saarela, Mirka Vozel, Benoit a další

Zdroj: 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA). :1-6

Témata: Filling, Mathematical models, Measurement, Covariance matrices, Statistical analysis, [SPI] Engineering Sciences [physics], Explainable AI, Data models, Social sciences, Accuracy, Demography

Přístupová URL adresa: https://hal.science/hal-05295774v1
https://doi.org/10.1109/acdsa65407.2025.11166439

Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms

Autoři: Mehrdad Asadi Roxana Rădulescu Ann Nowé a další

Přispěvatelé: Mehrdad Asadi Roxana Rădulescu Ann Nowé a další

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :251-254

Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Model Diagnosis, Computer Science - Artificial Intelligence, Explainable AI, Swarming Systems

Přístupová URL adresa: http://arxiv.org/abs/2505.01181
https://biblio.vub.ac.be/vubir/explainable-ai-based-diagnosis-of-poisoning-attacks-in-evolutionary-swarms(5ce38432-5fe6-403b-ae1d-7d6532bce8a3).html

Interpretable Fuzzy Systems For Forward Osmosis Desalination

Autoři: Khaled, Qusai Kaymak, Uzay Genga, Laura

Zdroj: 2025 IEEE International Conference on Fuzzy Systems (FUZZ). :1-7

Témata: SDG 6 – Schoon water en sanitaire voorzieningen, Fuzzy Rule Based Systems, SDG 3 - Good Health and Well-being, Desalination, Explainable AI, Water treatment, Fuzzy systems, SDG 7 - Affordable and Clean Energy, interpretability, distinguishability, SDG 6 - Clean Water and Sanitation, SDG 3 – Goede gezondheid en welzijn, SDG 7 – Betaalbare en schone energie

Interpretable Self-Supervised Learning for Fault Identification in Printed Circuit Board Assembly Testing

Autoři: Islam, Md Rakibul Begum, Shahina Ahmed, Mobyen Uddin, Dr

Zdroj: Applied Sciences. 15(18)

Témata: self-supervised learning, explainable AI, fault identification, interpretability, Printed Circuit Board Assembly

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-73558
https://doi.org/10.3390/app151810080

Explainable AI for Depression Detection and Severity Classification From Activity Data: Development and Evaluation Study of an Interpretable Framework

Autoři: Ahmed, Iftikhar Brahmacharimayum, Anushree Ali, Raja Hashim a další

Zdroj: JMIR Mental Health. 12

Témata: artificial intelligence, explainable AI, depression, mental health, machine learning, activity data, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-107041
https://doi.org/10.2196/72038

Designing for human-centered AI: Lessons learned from a case study in the clinical domain

Autoři: Helldin, Tove Norrie, Christian

Zdroj: International journal of human-computer studies. 205(November 2025)

Témata: Human-centered AI, trust, transparency, Explainable AI, AI for clinical decision-making, Skövde Artificial Intelligence Lab (SAIL)

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25833
https://doi.org/10.1016/j.ijhcs.2025.103623

Journaling with large language models: a novel UX paradigm for AI-driven personal health management

Autoři: Moell, Birger Sand Aronsson, Fredrik

Zdroj: Frontiers in Artificial Intelligence. 8

Témata: AI-driven journaling, data privacy, explainable AI, health literacy, large language models (LLMs), medical AI, natural language processing (NLP), patient engagement

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369039
https://doi.org/10.3389/frai.2025.1567580

An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia

Autoři: Khan, Waqar Khan, Muhammad Shahbaz Qasem, Sultan Noman a další

Zdroj: Frontiers in Medicine. 12

Témata: explainable AI, XAI, Alzheimer's disease, temporal convolutional networks, long short-term memory, frontotemporal dementia, EEG, mental disorders

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-122737
https://doi.org/10.3389/fmed.2025.1590201

Enhancing social media hate speech detection in low-resource languages using transformers and explainable AI

Autoři: Fetahi, Endrit Susuri, Arsim Hamiti, Mentor a další

Zdroj: Social Network Analysis and Mining. 15

Témata: Social media, Hate speech, Transformers, Machine learning, Deep learning, Feature engineering, Explainable AI (XAI), Informatik, Information Systems

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-141052
https://doi.org/10.1007/s13278-025-01497-w

Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study

Autoři: Coser, Omar Tamantini, Christian Tortora, Matteo a další

Zdroj: Frontiers in Computer Science. 7

Témata: deep learning, explainable AI, human locomotion, multimodal learning, neural networks

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-243777
https://doi.org/10.3389/fcomp.2025.1597143

Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models

Autoři: Kreuzer, Tim Zdravkovic, Jelena Papapetrou, Panagiotis

Zdroj: Data mining and knowledge discovery. 39(5)

Témata: Decomposition, Explainable AI, Machine learning, Time series forecasting

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-245557
https://doi.org/10.1007/s10618-025-01120-8

Calibrated explanations for regression

Autoři: Löfström, Tuwe Löfström, Helena Johansson, Ulf a další

Zdroj: Machine Learning. 114(4)

Témata: Explainable AI, Feature importance, Calibrated explanations, Uncertainty quantification, Regression, Probabilistic regression, Counterfactual explanations, Conformal predictive systems

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-67398
https://doi.org/10.1007/s10994-024-06642-8