Synergy-Based Machine Learning for Simultaneous Proportional Control of Prosthetic Hands: Dataset Design and Validation

Συγγραφείς: Farag, Hamdy O., Awad, Mohammed Ibrahim, Gaber, Mohamed, ElHady, Nancy E.

Πηγή: 2025 15th International Conference on Electrical Engineering (ICEENG) Electrical Engineering (ICEENG), 2025 15th International Conference on. :1-6 May, 2025

Relation: 2025 15th International Conference on Electrical Engineering (ICEENG)

e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community

Συγγραφείς: Schneider, Annika, Schüttler, Lukas, de Vargas, Jan Marco Ruiz, Eichelbeck, Michael, Goebel, Christoph

Πηγή: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. :436-445

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/3679240.3734617

Comparative Forecasting of Sustainability Pathways: Deep Learning Architectures for Emerging and Advanced Economies

Συγγραφείς: Pattnaik, Sarthak^Aff17, Park, Kathleen^Aff18, Liew, Natasya^Aff17, Kures, Ali Ozcan^{Aff17, Aff19}, Pinsky, Eugene^Aff17

Συνεισφορές: Akan, Ozgur, Editorial Board Member^Aff1, Bellavista, Paolo, Editorial Board Member^Aff2, Cao, Jiannong, Editorial Board Member^Aff3, Coulson, Geoffrey, Editorial Board Member^Aff4, Dressler, Falko, Editorial Board Member^Aff5, Ferrari, Domenico, Editorial Board Member^Aff6, Gerla, Mario, Editorial Board Member^Aff7, Kobayashi, Hisashi, Editorial Board Member^Aff8, Palazzo, Sergio, Editorial Board Member^Aff9, Sahni, Sartaj, Editorial Board Member^Aff10, Shen, Xuemin, Editorial Board Member^Aff11, Stan, Mircea, Editorial Board Member^Aff12, Jia, Xiaohua, Editorial Board Member^Aff13, Zomaya, Albert Y., Editorial Board Member^Aff14, Zlateva, Tanya, editor^Aff15, Tuparov, Georgi, editor^Aff16

Πηγή: Computer Science and Education in Computer Science : 21st EAI International Conference, CSECS 2025, Bratislava, Slovak Republic, July 1–3, 2025, Proceedings. 698:176-194

Self-Adaptive Service Selection for Machine Learning Continuous Delivery

Συγγραφείς: Nejad Yousefi, Mostafa Hadadian, Degeler, Victoria, Lazovik, Alexander

Πηγή: 2024 IEEE International Conference on Web Services (ICWS) ICWS Web Services (ICWS), 2024 IEEE International Conference on. :1048-1056 Jul, 2024

Relation: 2024 IEEE International Conference on Web Services (ICWS)

A Lifecycle for Engineering IoT Neural Network-based Systems

Συγγραφείς: Nascimento, Nathalia, Alencar, Paulo, Cowan, Donald

Πηγή: 2021 IEEE International Conference on Big Data (Big Data) Big Data (Big Data), 2021 IEEE International Conference on. :2427-2433 Dec, 2021

Relation: 2021 IEEE International Conference on Big Data (Big Data)

The Democratization of Machine Learning Features

Συγγραφείς: Patel, Jayesh

Πηγή: 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI) Information Reuse and Integration for Data Science (IRI), 2020 IEEE 21st International Conference on. :136-141 Aug, 2020

Relation: 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI)

A comparative framework for evaluating machine learning models in forecasting electricity demand for port microgrids

Συγγραφείς: Micallef, Alexander, Apap, Maurice, Licari, John, Spiteri Staines, Cyril, Zhaoxia, Xiao

Θεματικοί όροι: Microgrids (Smart power grids), Machine learning -- Development, Electric power consumption -- Forecasting, Least squares -- Computer programs, Gaussian processes

Relation: Micallef, A., Apap, M., Licari, J., Spiteri Staines, C., & Zhaoxia, X. (2025). A comparative framework for evaluating machine learning models in forecasting electricity demand for port microgrids. Energy and AI, 20, 100494.; https://www.um.edu.mt/library/oar/handle/123456789/136305

Διαθεσιμότητα: https://www.um.edu.mt/library/oar/handle/123456789/136305
https://doi.org/10.1016/j.egyai.2025.100494

RobustCheck: A Python package for black-box robustness assessment of image classifiers

Συγγραφείς: Andrei Ilie, Alin Stefanescu

Πηγή: SoftwareX, Vol 27, Iss , Pp 101831- (2024)

Θεματικοί όροι: Adversarial machine learning, Adversarial robustness, Computer vision, Black-box adversarial attack, Machine learning development tools, Computer software, QA76.75-76.765

Περιγραφή αρχείου: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352711024002024; https://doaj.org/toc/2352-7110

Σύνδεσμος πρόσβασης: https://doaj.org/article/be3062efaedf4d98b9fe355f6f0f04a0

Graph Data Science with Python and Neo4j: Hands-On Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies (English Edition)

Συγγραφείς: Eastridge, Timothy

Θεματικοί όροι: Machine learning -- Development

Machine Learning for benthic sand and maerl classification and coverage estimation in coastal areas around the Maltese Islands

Συγγραφείς: Gauci, Adam, Deidun, Alan, Abela, John, Zarb Adami, Kristian

Πηγή: Journal of Applied Research and Technology. 14:338-344

Θεματικοί όροι: Machine Learning, Maerl detection, Ocean bottom ecology -- Malta, Sand detection, Image processing, Decision trees, Machine learning -- Development, 0211 other engineering and technologies, 0207 environmental engineering, 14. Life underwater, 02 engineering and technology, Seabed classification

Σύνδεσμος πρόσβασης: https://www.um.edu.mt/library/oar//handle/123456789/26194

ANALYSIS OF TECHNICAL DEBT IN ML-BASED SOFTWARE DEVELOPMENT PROJECTS

Συγγραφείς: Dayan Akman, Pelin

Συνεισφορές: Özcan Top, Özden, Taşkaya Temizel, Tuğba, Department of Information Systems, OpenMETU

Θεματικοί όροι: Machine Learning, Technical Debt, Machine Learning Development Lifecycle

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/11511/111423

ANALYSIS OF TECHNICAL DEBT IN ML-BASED SOFTWARE DEVELOPMENT PROJECTS ; MAKİNE ÖĞRENİMİ TEMELLİ YAZILIM GELİŞTİRME PROJELERİNDE TEKNİK BORCUN ANALİZİ

Συγγραφείς: Dayan Akman, Pelin

Συνεισφορές: Özcan Top, Özden, Taşkaya Temizel, Tuğba, Department of Information Systems

Θεματικοί όροι: Machine Learning, Technical Debt, Machine Learning Development Lifecycle, Arbis Subjects::Engineering and Technology::Computer Sciences

Περιγραφή αρχείου: application/pdf

Relation: https://hdl.handle.net/11511/111423

Διαθεσιμότητα: https://hdl.handle.net/11511/111423

Image classification for maerl and sandy seabed percentage coverage estimation

Συγγραφείς: Gauci, Adam, Deidun, Alan, 1st International Congress on Green Infrastructure and Sustainable Societies / Cities (GreInSus)

Θεματικοί όροι: Image processing, Ocean bottom ecology, Machine learning -- Development

Relation: Gauci, A., & Deidun, A. (2014). Image classification for maerl and sandy seabed percentage coverage estimation. 1st International Congress on Green Infrastructure and Sustainable Societies / Cities (GreInSus), Izmir. 135; https://www.um.edu.mt/library/oar//handle/123456789/27165

Διαθεσιμότητα: https://www.um.edu.mt/library/oar//handle/123456789/27165

A SYSTEM-THEORETIC APPROACH TO ENGINEERING ASSURANCE FOR ARTIFICIAL INTELLIGENCE SYSTEMS

Συγγραφείς: Williams, Eugene D.

Συνεισφορές: Kroll, Joshua A., Mailloux, Logan O., Computer Science (CS)

Θεματικοί όροι: machine learning development lifecycle, MDLC, traceability, STPA, AI, active learning, deep learning, system-theoretic process analysis, real-time data, artificial intelligence, supervised learning

Περιγραφή αρχείου: application/octet-stream; application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10945/72666
https://hdl.handle.net/10945/72412

Building Neo4j-Powered Applications with LLMs : Create LLM-driven Search and Recommendations Applications with Haystack, LangChain4j, and Spring AI

Συγγραφείς: Ravindranatha Anthapu, Siddhant Agarwal

Resource Type: eBook.

Θέματα: Machine learning--Development

Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Artificial Intelligence / Expert Systems

Mastering Computer Vision with PyTorch and Machine Learning

Συγγραφείς: Caide Xiao

Resource Type: eBook.

Θέματα: Computer vision--Equipment and supplies, Machine learning--Development

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Representation does matter

Συγγραφείς: Abela, John, 5th Computer Science Annual Workshop (CSAW’07)

Θεματικοί όροι: Machine learning -- Development, Representations of categories, Computer algorithms, Induction (Mathematics) -- Computer programs

Relation: https://www.um.edu.mt/library/oar//handle/123456789/22566

Διαθεσιμότητα: https://www.um.edu.mt/library/oar//handle/123456789/22566

Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications

Συγγραφείς: Chip Huyen

Resource Type: eBook.

Θέματα: Machine learning--Development

Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Machine Theory

AI for Healthcare with Keras and Tensorflow 2.0

Συγγραφείς: Anshik

Resource Type: eBook.

Θέματα: Machine learning--Development, Artificial intelligence--Medical applications

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Languages / Python

Beyond Intuition: Redefining Internal Audit Risk Assessments Through Machine Learning Paradigms

Συγγραφείς: Shivram, Vivek

Συνεισφορές: Cairns, David, Bracciali, Andrea, N/A

Θεματικοί όροι: Machine Learning, Risk Assessment, Internal Audit Research, Continuous Risk Assessments, Supervised Machine Learning, Audit Planning, Unsupervised Machine Learning, Machine learning Development, Machine learning Evaluation, Artificial intelligence, Auditing Internal

Περιγραφή αρχείου: application/pdf

Relation: https://doi.org/10.1080/07366981.2024.2312025; https://hdl.handle.net/1893/37138; http://dspace.stir.ac.uk/bitstream/1893/37138/1/PhD_Thesis_VS.pdf

Διαθεσιμότητα: https://hdl.handle.net/1893/37138
http://dspace.stir.ac.uk/bitstream/1893/37138/1/PhD_Thesis_VS.pdf