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ORCIDICMLT 2025: Helsinki, Finland
- 10th International Conference on Machine Learning Technologies, ICMLT 2025, Helsinki, Finland, May 23-25, 2025. IEEE 2025, ISBN 979-8-3315-3672-5
- W. M. R. Jamaludin, W. M. Wan Mohamed, Nik Hakimi Nik Ali:
Optimizing Nominal Current Output in the Elevated Runway Edge Lighting System at Subang Airport through Machine Learning Analysis. 1-7 - Ju-Won Park, Taeyoung Hong:
Improving Runtime Prediction Performance Based on Application Type of Jobs on Large-scale Cluster System. 8-12 - Juyang Weng:
Operating Systems For Conscious Learning. 13-22 - Sahana Parasuram, Saransh Mehta, Abhiram Karanth, N. S. Nandish, Mamatha H. R:
Region-Specific Nutrition Dataset for India: A Novel Approach towards Personalized Dietary Guidance. 23-28 - Umar Ibrahim, Rayan Mosli:
Cyber Threat Intelligence Using Ensemble Approach to Identify Ransomware Attacks. 29-36 - Mingtong Zhang, Liyin Gao, Kuangchih Yong, Jiang Xu, Jagannath Panda, Yingying Sun:
Rapid Fuel Analysis with Machine Learning and Infrared Spectroscopy. 37-41 - Yasser Qureshi, Vitaly Voloshin, Philip J. McCall
, James Covington, Cathy Towers, David Towers:
Interpreting Time-Series Machine Learning Models through Domain-Informed Basis Functions. 42-46 - Celestina Kolog, Hongmei Chi, Jie Yan:
Machine Learning-Based Detection of Forensic Artifacts and Anomalies in Tails OS. 47-54 - Swathi Ganesan, Nalinda Prasad Somasiri:
Enhancing Cardiovascular Disease Prediction: Optimised Feature Selection and Machine Learning Techniques for Improved Accuracy. 55-62 - Grace Funmilayo Farayola, Akinyemi Sadeeq Akintola, Oluwole Fagbohun, Chukwuka Michael Oforgu, Bisola Faith Kayode, Christian Chimezie, Temitope Kadri, Abiola Oludotun, Nelson Qobeide, Mgbame Michael, Adeseye Ifaturoti, Toyese Oloyede:
Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach. 63-68 - Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Ricky Stanley D'Cruze, Shahina Begum, Sara Kebir, Alexandre Veyrie, Christophe Hurter:
A Multimodal Approach for Enhancing Decision Support in Remote Digital Tower. 69-76 - Congyue Lv, Meng Cui, Yan Ding, Ziyun Zhao, Shuo Li, Fei Zhao, Reyu Gao, Ge Wang:
Intelligent Prediction and Modeling Method for Rock Drillability Based on Support Vector Machine. 77-80 - Parth Bhatnagar, Manjit Singh Sodhi:
Advancing Visual Question Answering Through Multimodal Fusion and Deep Learning Techniques. 81-85 - Sharanya Patil, Omkar Terdal, Shravya H. R, Adithya Kamshetty, Preethi P:
Design and Development of Tailoring Tools for the Fashion Industry. 86-90 - Parth Bhatnagar, Manjit Singh Sodhi:
Performance Comparison of Deep Learning Models in Image Super-Resolution. 91-95 - Lorenzo Calisti, Emanuele Lattanzi:
Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices. 96-101 - Aydin Abedinia, Shima Tabakhi, Vahid Seydi:
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights. 102-106 - Geethika Golamari, Aditya Sharma, Brinda A, C. V. M. Yeshaswini, Manjunath K. P, B. Niranjana Krupa:
Real-Time Intelligence using Deep Learning for Skill Enhancement in Capsulorhexis Cataract Surgery. 107-115 - Muhammad Nouman Khan, Thomas Greiner:
Neurosymbolic Artificial Intelligence for Printed Circuit Board Fault Detection. 116-124 - Milad Mousavi, Xuesong Shen, Zhigang Zhang, Khalegh Barati, Binghao Li:
Online Deep Transfer Learning and Multi-Sensor Analysis for Enhanced Underground Monitoring. 125-129 - Rajesh Daruvuri:
AI-Powered Resource Allocation for Dynamic Cloud Workloads. 130-134 - Natsuhiko Sato, Hiroshi Yoshida:
An Adaptive Policy Switching Method for Episodic Cumulative Reward in Reinforcement Learning. 135-140 - Yuhe Gao, Runzhe Wan, Ioannis Giannakakis, Jinxiang Gu, Rui Song:
Contextual Deep Reinforcement Learning with Adaptive Value-based Clustering. 141-149 - Tatjana Krau, Georg Schäfer, Tobias Damm, Frieder Heieck:
Exploring Variance in Reinforcement Learning Environment to Bridge the Sim-To-Real Gap: A Case Study in Color Mixing. 150-157 - Julius Wiggerthale, Christoph Reich, Martin Haimerl:
Uncertainty Quantifying Neural Network - Learning Uncertainty Estimates from Monte Carlo Dropout. 158-165 - Kalyan Cherukuri, Aarav Lala:
Low-Rank Matrix Approximation for Neural Network Compression. 166-170 - Parth Bhatnagar, Manjit Singh Sodhi, Nidhi Raniyer:
A Novel Framework for Emotion Detection with Graph Neural Networks: A Deep Learning Perspective. 171-175 - Thomas Mandelz, Jan Zwicky, Daniel Perruchoud, Stephan Heule:
Investigating Transfer Learning for Link Prediction in Graph Neural Networks. 176-181 - Mahsa Kashani, Stefan Jespersen, Zhenyu Yang:
Comparative Analysis of Deep Neural Networks for Oil-in-Water Concentration Prediction Using PSO-Based Hyperparameter Optimization. 182-187 - Hua-Liang Wei:
SAFE-IML: Sparsity-Aware Feature Extraction for Interpretable Machine Learning with Two-Stage Neural Network Modelling. 188-194 - Georgios-Markos Chatziloizos, Andrea Ancora, Christian Barat, Andrew I. Comport:
Liquid Dino: A Multi-Task Neural Network towards Autonomous Driving. 195-202 - Ilias Boulbarj, Bouklouze Abdelaziz, Douzi Samira, Douzi Hassan:
Leveraging advanced transformer neural networks for accurate detection of honey adulteration through thermal image analysis. 203-207 - Shuoshi Zhu, Yisheng Ruan, Tianyuan Yu, Liang Bai:
Federated Learning in the Diagnosis of Medical Diseases: A Survey. 208-212 - Lucas Lange, Ole Borchardt, Erhard Rahm:
Federated Learning With Individualized Privacy Through Client Sampling. 213-217 - Xuefeng Zhu, Liang Bai, Yirun Ruan:
Federated Class-Incremental Learning: A Survey. 218-222 - Sina Apak, Peri Gunes:
Enhancing Android Lock Pattern Security with Personalized Federated Learning and Multi-Modal Framework. 223-232 - Zeyuan Wang, Zhendu Li, Yanming Guo, Jun Tang:
An Investigation of Parameter Efficient Federated Learning with Foundation Model. 233-239 - Ronak, Tarun U. Rathod, Abhilasha Mangal, Manjit Singh Sodhi, Parvathy Rajeev, Sanjana Ramesh, Madhumita Mishra:
The PLS -Preferred Learning Style GenAI Application. 240-247 - Przemek Pospieszny, Wojciech Mormul, Karolina Szyndler, Sanjeev Kumar:
ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model. 248-256 - Meghana N, Namita Hansraj Patil, Mullapudi Jahnavi, Mahimaa CS, Preethi P:
PronouncePerfect: Speech mispronunciation detection and correction system. 257-266 - Filippo Neri:
Domain Specific Concept Drift Detectors for Predicting Financial Time Series: the case of the SPY time series. 267-271 - Akash Kota Raju:
Evaluation of Distributed Text Representations for Document Classification: A Comparative Study of Word2Vec, Doc2Vec, and Phrase Regression. 272-277 - Swathi Ganesan, Nalinda Prasad Somasiri:
Mitigating Data Scarcity in Healthcare through Wasserstein Generative Adversarial Network- A Case Study in Medical Application. 278-286 - Bo Sun, Guoliang Wang, Hua-Liang Wei:
NARX-MLP: A Hybrid Model for Accurate Interpretable Medical Data Classification. 287-291 - Lorenzo Trucco, Domagoj Tolic:
A Framework for Forecasting Professional Tennis Matches Using ATP Statistics and Betting Odds. 292-297 - Goran Oreski:
Evaluating Transformers for Tabular Data: The Impact of Tokenization, Dataset Characteristics and Noise. 298-302 - Abdul Muqsit Abbasi, Ibrahim Chhipa, Asad Anwer, Saad Farooq, Hassan Berry, Sonu Kumar, Muhammad Owais Mahmood, Areeb Ur Rehman, Bahram Baloch, Sundar Ali:
ALEF: An Enhanced Approach to Arabic-English Bilingual Translation. 303-309 - Bea Waelbers, Alexander P. Henkel, Stefano Bromuri:
Automated Detection of Firm Social Media Response Strategies: A Multi-Label Classification Study of X-Based Customer Service Interactions. 310-315 - Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Paolo Capellacci, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi:
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition? 316-320 - Oluwole Fagbohun, Sai Yashwanth, Akinyemi Sadeeq Akintola, Ifeoluwa Wurola, Lanre Shittu, Aniema Inyang, Oluwatimilehin Odubola, Udodirim Offia, Said Olanrewaju, Ogidan Toluwaleke, Ilemona Abutu, Taiwo Akinbolaji:
GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation. 321-329 - Tomas Navarro:
Enhancing Cognitive Functions in Large Language Models Towards AGI: A State-of-the-Art Survey and Exploratory Review. 330-340 - Jiayue He, Nathalie Risso, Tyler Bettencourt, Angelina Anani:
Mining the Text: Automating Safety Insights from Mining Accident Reports. 341-349 - Giulia Ferrario, Andrei Mikriukov, Yaroslav Plaksin, Vladimir Sitnikov, Giancarlo Succi, Alexander Tormasov, Ekaterina Trofimova:
Evaluating cost-effectiveness and coherence of LLMs for supplement recommendations using routing techniques. 350-354 - Meng Wang, Hanyu Li, Jing Xie, Mengting Zhang, Yajiao Wang, Zhixiong Zhang:
Enhanced Reverse Reasoning in LLMs for Further Research Directions Generation. 355-359 - Walisa Romsaiyud:
Explainable AI Framework for Multiclass University Recommendations Using SHAP and Counterfactual SHAP. 360-365 - Tomas Navarro, Ana Stroescu, Dario Izzo, Sergio Gálvez Rojas, Francisco López Valverde:
Autonomous Multi-Agent AI Systems for Satellite Mission Design. 366-372 - Mingzhe Yu, Osamu Tatebe:
AD-KFAC: Asynchronous Decentralized Distributed K-FAC with Dynamic Load Balancing and Fault Tolerance. 373-382 - Yaozheng Zhang, Mengxiao Wang, Yuhao Peng, Yunpeng Liu, Jiehan Zhou, Haojie Zhou, Shouhua Zhang, Huanqing Cui:
S4T-GPTQ: A Space-for-Time Strategy For Optimizing GPTQ 4-bit Quantization. 383-387 - Müslüm Atas, Fatima Jammoul, Jürgen Klarner, David Raese, Thomas Reisl, Joachim Schauer, Thomas Strametz, Wilhelm Zugaj:
Outlier detection and classification in inhomogeneous voltage curves using functional depth. 388-397 - Marko Ðurasevic, Francisco Javier Gil Gala:
Feature Analysis for Designing Heuristics for the Electric Vehicle Routing Problem with Genetic Programming. 398-406 - Francesco Gibellini, Ayjeren Rozyjumajeva, Murat Firat, Stefano Bromuri:
Explaining Customer Dissatisfaction Patterns in Express Shipping with Representation Learning. 407-412 - Bisola Faith Kayode, Akinyemi Sadeeq Akintola, Oluwole Fagbohun, Egonna Anaesiuba-Bristol, Onyekachukwu Ojumah, Oluwagbade Odimayo, Toyese Oloyede, Aniema Inyang, Teslim Kazeem, Habeeb Alli, Udodirim Ibem Offia, Prisca Chinazor Amajuoyi:
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic. 413-426 - Ahmet Çay, Baris Bayram, Göktug Gökyilmaz, Ayse Dilara Türkmen, Alaeddin Türkmen:
Contextual Anomaly Detection in Logistics and Supply Chain Management. 427-432 - Dalila Khettaf, Djamel Djenouri, Zeinab Rezaeifar, Youcef Djenouri:
Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection. 433-438 - Ogidan Toluwaleke, David Uno, Ifeoluwa Emmanuel Olagbaju, Oluwole Fagbohun, PraiseGod Erema Ayodele, Ernest Effiong Offiong, Onyekachukwu Ojumah, Temitope Kadri, Folasayo Agunbiade, Gold E. O. Okpa, Prisca Chinazor Amajuoyi, Ekechi Chizoba Cynthia:
Temporal-XAI: An Attention-Based Explainable Framework for DoS Attack Detection with Temporal Pattern Analysis. 439-450 - Richa Banotra, Petr Patzelt, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Using Pattern Recognition to Identify Design Errors on Pipe System Drawings. 451-460 - Zeliha Kaya Akçelik, Reyhan Hosavci, Sümeyye Zülal Dik, Musa Aydin, Zeki Kus:
Data Valuation with Shapley-based Methods for Medical Image Classification. 461-467 - Raghavendra M. J, Surya Ramesh, Sriraj Ghali, Tejas Rajesh, B. Niranjana Krupa:
Multi Head Attention-based Visual Content Analysis. 468-475 - Büsra Sinem Karadeniz, Sümeyye Zülal Dik, Zeki Kus, Musa Aydin:
Shapley Patch Valuation Method for Histopathological Image Classification. 476-481 - Emil Engelstad Moghaddam, Md. Zia Uddin, Jun Miura, Jim Torresen:
A Robust Approach for Motion Skill-Based Scene Categorization. 482-487 - Rui Zhu, Tianyuan Yu, Yanming Guo:
VideoMamba-LLaVA: Efficient Video Question Answering with Selective Scanning and Lightweight Inference. 488-494 - Fatima Martínez, James Brian Romaine, Princy Johnson, Adrián Cardona Ruiz, Pablo Millán:
Automatic chard area detection. 495-503 - Nihal T. M, S. Akshaya, Naren NS, Aniruddh Srinivas, Vinodha K:
Plant Species Identification using Vision Transformer and weed identification using YOLO model. 504-509 - Ameur Bensefia, Chawki Djeddi, Abdelhakim Hannousse:
Parkinson Disease Detection via Handwriting Analysis. 510-514 - Qinan Xuan, Jun Tang, Yirun Ruan:
Channel Importance Adapter for Test-Time Adaptation in Vision-Language Models. 515-519 - Deeksha Mysore Prasad, Spoorthi Setty, Varchasvin Sood, Shruthi M. L. J:
Enhanced Recognition: A Vision Transformer Approach for Digits. 520-524
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