https://cmla2026.org/
8th International Conference on Machine Learning & Applications (CMLA 2026)
machine learning applicationsinternational conference8thcmla2026
https://arxiv.org/abs/2503.03724
[2503.03724] Deep Causal Behavioral Policy Learning: Applications to Healthcare
Abstract page for arXiv paper 2503.03724: Deep Causal Behavioral Policy Learning: Applications to Healthcare
behavioral policylearning applications2503deepcausal
https://www.uwa.edu.au/research-disciplines/ems-research-clusters/Machine-Learning-Applications-for-Physical-Sciences
Machine Learning Applications for Physical Sciences : The University of Western Australia
The Machine Learning Applications for Physical Sciences (MAPS) research cluster focus on the application of state-of-the-art Machine Learning algorithms for...
machine learning applicationsphysical sciencesthe university
https://www.universiteitleiden.nl/onderzoek/onderzoeksoutput/wiskunde-en-natuurwetenschappen/hybrid-quantum-classical-metaheuristics-for-automated-machine-learning-applications
Hybrid Quantum-Classical Metaheuristics for Automated Machine Learning Applications - Universiteit...
This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning...
automated machine learninghybridquantumclassicalmetaheuristics
https://informaconnect.com/machine-learning-applications-in-finance-from-alpha-generation-to-intelligence-gathering/
Machine learning applications in finance: From alpha generation to intelligence gathering
Experts from QuantMinds International 2022 share new applications of machine learning and natural language processing to generate alpha and business...
machine learning applicationsalpha generationfinance
https://www.techtarget.com/searchenterpriseai/feature/Labeled-data-brings-machine-learning-applications-to-life
Labeled data brings machine learning applications to life | TechTarget
Data collection and storage for analytics have evolved over the years. But organizations can use the refined and labeled data in data warehouses to reap the...
machine learning applicationslabeled datato lifebringstechtarget
https://openreview.net/forum?id=s6qtLyR6uJ
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications | OpenReview
Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g....
deep learning applicationsevolutionary optimizersbenchmarkingopenreview
https://speakerdeck.com/anandology/real-world-challenges-in-deploying-machine-learning-applications
Real World Challenges in Deploying Machine Learning Applications - Speaker Deck
Talk given by Anand Chitipothu and Ananth Krishnamoorthy at BangPypers meetup in Nov 2017.
machine learning applicationsreal worldchallengesdeployingspeaker
https://www.booktopia.com.au/deep-learning-applications-laith-abualigah/book/9781041105725.html
Deep Learning Applications by Laith Abualigah | Select Topics | 9781041105725 | Booktopia
Buy Deep Learning Applications, Select Topics by Laith Abualigah from Booktopia. Get a discounted Hardcover from Australia's leading online bookstore.
deep learning applicationslaithselecttopicsbooktopia
https://www.kth.se/en/2.266/time-space-and-control-deep-learning-applications-to-turbulent-flows-1.1255854?date=2023-06-12&orgdate=2023-06-02&length=1&orglength=0
Time, space and control: deep-learning applications to turbulent flows | KTH
deep learning applicationstime spacecontrol
https://www.qt.io/development/resources/videos/build-deep-learning-applications-with-qt-and-tensorflow-lite-dev-des-2021?hsLang=en
Build Deep Learning Applications with Qt and Tensorflow Lite - Dev/Des 2021
Only a few decades ago it seemed impossible to automatically classify bird species in images, let computers translate texts from German to English in a way ...
deep learning applications
https://pmc.ncbi.nlm.nih.gov/articles/PMC4362630/
Prognostic Gene Signature Identification Using Causal Structure Learning: Applications in Kidney...
Identification of molecular-based signatures is one of the critical steps toward finding therapeutic targets in cancer. In this paper, we propose methods to...
gene signaturecausal structurelearning applicationsprognosticidentification
https://www.mdpi.com/2073-4360/17/4/499
Boosting-Based Machine Learning Applications in Polymer Science: A Review
The increasing complexity of polymer systems in both experimental and computational studies has led to an expanding interest in machine learning (ML) methods...
machine learning applicationspolymer scienceboostingbasedreview
https://www.frontiersin.org/journals/radiology/articles/10.3389/fradi.2024.1523389/full
Frontiers | Editorial: Advances in artificial intelligence and machine learning applications for...
Growing interest in artificial intelligence (AI) applications in the biological and medical sciences has led to a notable surge in related publications in re...
in artificial intelligencemachine learning applicationsfrontierseditorialadvances
https://mobiri.se/ai-sites/mlp-ai-voice-model.html
AI Voice Model for Machine Learning Applications and Services
AI voice models are transforming communication in various sectors, offering innovative solutions for businesses and developers alike.
machine learning applicationsai voicemodelservices
https://www.kth.se/en/om/2.266/time-space-and-control-deep-learning-applications-to-turbulent-flows-1.1255854?date=2023-06-12&orgdate=2023-03-30&length=1&orglength=277
Time, space and control: deep-learning applications to turbulent flows | KTH
deep learning applicationstime spacecontrol
https://www.kth.se/en/om/upptack/kalender/large-scale-optimization-with-machine-learning-applications-1.937702?date=2019-11-26&orgdate=2019-05-02&length=1&orglength=244
Large-Scale Optimization With Machine Learning Applications | KTH
machine learning applicationslarge scaleoptimizationkth
https://www.kth.se/en/om/upptack/kalender/disputationer/time-space-and-control-deep-learning-applications-to-turbulent-flows-1.1255854
Time, space and control: deep-learning applications to turbulent flows | KTH
deep learning applicationstime spacecontrol
https://www.se.com/ww/en/download/document/998-2095-12-11-17AR0_EN/
How Digital Training Innovations Improve Learning: Applications in Electrical Installation Safety |...
Running and maintaining electrical installations with optimal safety requires careful and effective training...
digital trainingimprove learningelectrical installationinnovations
https://www.uni-muenster.de/LearnWeb/learnweb2/course/info.php?id=93466
Course information | Data Acquisition and Data Analysis - Machine Learning Applications in Movement...
machine learning applicationscourse informationdata acquisition
https://www.greatlearning.ai/
Great Learning GenAI Academy – Measure Your AIQ & Build real-world GenAI applications
great learning
https://learningpath.ai/
Learning Path – Learn Trending AI Technologies with Hands-On Project Applications
learning pathtrending ai
https://pmc.ncbi.nlm.nih.gov/articles/PMC11125570/
Artificial Intelligence and Deep Learning in Sensors and Applications - PMC
artificial intelligencedeep learningsensorsapplicationspmc
https://www.banyan.360works.com/login
Chicago Early Learning Applications
early learningchicagoapplications
https://www.darktrace.com/es/news/darktrace-self-learning-detection-extended-to-saas-applications
Darktrace Self-Learning Detection Extended to SaaS Applications
self learningdarktracedetectionextendedsaas
https://www.frontiersin.org/research-topics/68478/advances-in-ai-and-machine-learning-for-nuclear-applications/impact
Frontiers | Advances In AI And Machine Learning For Nuclear Applications
Recent rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) offer unprecedented potential to optimize and enhance the safety, efficie...
ai and machine learningfrontiersadvancesnuclearapplications
https://www.elon.edu/u/news/2026/02/24/center-for-engaged-learning-cel-student-scholars-call-for-applications/
Center for Engaged Learning (CEL) Student Scholars call for applications | Today at Elon | Elon...
Applications for the 2026-2029 cohort of CEL Student Scholars are due April 6, 2026.
center for engaged learningcel student scholars
https://www.informit.com/store/learning-react-a-hands-on-guide-to-building-web-applications-9780135239759
Learning React: A Hands-On Guide to Building Web Applications Using React and Redux, Web Edition |...
Learning ReactA hands-on guide to building web applications using React and ReduxAs far as new web frameworks and libraries go, React is quite the runaway...
https://www.helsinki.fi/en/researchgroups/inverse-problems/seminars/introduction-to-mathematics-of-deep-learning-and-applications-to-inverse-problems
Introduction to mathematics of deep learning and applications to inverse problems | Inverse...
Christopher A. Wong (Rice University) 01.11.2018, Exactum B120, 2pm-4pm
introduction todeep learningmathematicsapplicationsinverse
https://arxiv.org/abs/2506.15176
[2506.15176] In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications,...
Abstract page for arXiv paper 2506.15176: In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory
in context learning
https://arxiv.org/abs/2301.04234
[2301.04234] Studying Logging Practice in Machine Learning-based Applications
Abstract page for arXiv paper 2301.04234: Studying Logging Practice in Machine Learning-based Applications
machine learning2301studyingloggingpractice
https://arxiv.org/html/2501.10945v3
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
deep learning algorithmsmulti objectivegradientbased
https://deepai.org/publication/proprioceptive-external-torque-learning-for-floating-base-robot-and-its-applications-to-humanoid-locomotion
Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid...
Sep 8, 2023 - 09/08/23 - The estimation of external joint torque and contact wrench is essential for achieving stable locomotion of humanoids and safety-or...
https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2023.1247195/full
Frontiers | Multimodal deep learning for liver cancer applications: a scoping review
Background: Hepatocellular carcinoma is a malignant neoplasm of the liver and a leading cause of cancerrelated deaths worldwide. The multimodal data combines...
multimodal deep learningliver cancerfrontiers
https://www.mdpi.com/books/reprint/9556-artificial-intelligence-and-deep-learning-in-sensors-and-applications
Artificial Intelligence and Deep Learning in Sensors and Applications | MDPI Books
The aim of this reprint is to address increasingly complex human problems by utilizing various sensors to collect data, enabling the formulation of solutions...
artificial intelligencedeep learningsensorsapplicationsmdpi
https://www.amacad.org/publication/daedalus/golden-decade-deep-learning-computing-systems-applications
A Golden Decade of Deep Learning: Computing Systems & Applications | American Academy of Arts and...
Apr 13, 2022 - The past decade has seen tremendous progress in the field of artificial intelligence thanks to the resurgence of neural networks through deep learning. This...
https://www.coursera.org/articles/machine-learning-for-video-games
Machine Learning in Video Games: Present and Potential Applications | Coursera
Explore some of the ways that machine learning in video games enhances both the game development lifecycle and game quality.
in video gamesmachine learningpresentpotentialapplications
https://www.kth.se/mid/calendar/seminars/game-learning-analytics-applications-of-data-analysis-in-serious-games-1.1401809
Game Learning Analytics: Applications of Data analysis in Serious Games | KTH
learning analyticsdata analysisserious gamesapplications