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ORCIDICMLT 2022: Rome, Italy
- ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11 - 13, 2022. ACM 2022, ISBN 978-1-4503-9574-8
Session 1 - Machine Learning and Computing
- Mason Jones, Francesco Romano, Abidalrahman Mohd:
Machine Learning in Textual Criticism: An examination of the performance of supervised machine learning algorithms in reconstructing the text of the Greek New Testament. 1-5 - Néstor X. Arreaga-Alvarado
, Jocelyn Miranda, Milton Vera, Sara Blanc:
Monitoring and control of environmental parameters to predict growth in citrus crops using Machine Learning. 6-11 - Leo Challier, Geneviève Ndour, Martin Garrigos, Karim Chouchane, Clément Conand, Valerie Lavaste, Charlotte Alliod:
Exploratory study of battery aging analysis with machine learning models to complete multi-physical ones for more adaptable systems. 12-16 - Ilze Birzniece, Ilze Andersone, Agris Nikitenko, Liga Zvirbule:
Predictive Modeling of HR Dynamics Using Machine Learning. 17-23 - Shuda Di:
The Application of Lasso in Stock Selection. 24-29 - Chaoyu Wang, Zijie Zheng:
Emotion Recognition of Chinese Traditional Folk Music using an Assembling Machine Learning Method. 30-35 - Yaoduo Xu, Zitong Yang:
A Machine Learning based Experimental Analysis for Rugby Sevens in China National Games. 36-41 - Zhengxin Qi, Mohamed Rahouti, Mohammed A. Jasim, Nazli Siasi:
Music Genre Classification and Feature Comparison using ML. 42-50
Session 2 - New Generation Neural Network Theory and Technology
- Yuan Feng:
Application of Weight-Based Feature Selection in Artificial Neural Network with Transition Layer. 51-55 - Kazuki Okado, Kengo Matsumoto, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai:
Channel-wise quantization without accuracy degradation using Δloss analysis. 56-61 - Manikya Bardhan, Joe Rishon Manoj, Rakshith Raveendra Acharya, Ishita Datta, Arti Arya:
Transferring Learnt Features from Deep Neural Networks trained on Structured Data. 62-67 - Harsha Durvasula, Sahana Vrinda Kakarla, Anant Thazhemadam, Reshma Roy, Arti Arya:
Prediction of Material Properties using Crystal Graph Convolutional Neural Networks. 68-73
Session 3 - Data Analysis and Methods
- Yiwei Gan, Qian Han, Yumeng Gao:
Combining traditional machine learning and anomaly detection for several imbalanced Android malware dataset's classification. 74-80 - Haya A. Alhakbani, Fatema M. Alnassar:
Open Learning Analytics: A Systematic Review of Benchmark Studies using Open University Learning Analytics Dataset (OULAD). 81-86 - Deepak Nagaraj, Marcel Mutz, Supreeth Mysore Venkatesh, Lea Riebschlaeger, Dirk Werth:
A Practical Approach for Road Quality Estimation using Smartphone based Inertial Data: IMU data processing pipeline to estimate road quality. 87-91 - Zhuo Cheng, Zhenxing Liu, Guili Yang:
Diagnosis of Arrhythmia Based on Multi-scale Feature Fusion and Imbalanced Data. 92-98 - Matthijs Marinus Dieperink, Romy Achoura Ho, Leonardus Theodorus Johannes Koomen, Joep Willem Hubertus Keuzenkamp, Jonathan Hendrik Schot, Tim Pijl:
Federated Learning in the Bubl Platform to Enhance the Privacy of Personal Patient Data. 99-104 - Yupei Cai:
Comparison of different clustering methods applied to omics datasets. 105-111
Session 4 - Image Processing and Application Technology
- Austin J. He, Hanbin Hu:
Identifying Covid-19 Chest X-Rays by Image-Based Deep Learning. 112-118 - Ali Reza Mohammed Husein Sajun, Imran Ahmed Zualkernan:
Evaluating the FixMatch Semi-Supervised Algorithm for Unbalanced Image Data. 119-123 - Ashref Lawgaly, Fouad Khelifi, Ahmed Bouridane, Somaya Al-Máadeed, Younes Akbari:
Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification. 124-130 - Abeer Mohammed Alshehri, Reem Meteab Alotaibi, Bandar Ahmed Alzahrani, Areej Matoog Alhothali, Ahmed Hasan Alhindi, Manal Nawar Allahyani:
Accurate Crowd Counting using Merged Datasets. 131-135 - Harinahalli Lokesh Gururaj, Nydile M. N, Francesco Flammini, Vidyashree K. P, Soundarya B. C:
Analysis of Finger Vein Recognition using Deep Learning Techniques: Finger Vein Recognition. 136-140 - Nastaran Nourbakhsh Kaashki, Xinxin Dai, Timea Gyarmathy, Pengpeng Hu, Bogdan Iancu, Adrian Munteanu:
A Deep Learning Approach to Automatically Extract 3D Hand Measurements. 141-146 - Deperias Kerre, Henry Muchiri:
Detecting the Simultaneous Occurrence of Strawberry Fungal Leaf Diseases with a Deep Normalized CNN. 147-154 - Mejdi Dallel, Vincent Havard, Yohan Dupuis, David Baudry:
A Sliding Window Based Approach With Majority Voting for Online Human Action Recognition using Spatial Temporal Graph Convolutional Neural Networks. 155-163 - Cristina Hava Muntean, Mansi Chowkkar:
Breast Cancer Detection from Histopathological Images using Deep Learning and Transfer Learning. 164-169 - Emanuela Marasco, Mengling He, Larry Tang, Yuanting Tao:
Demographic Effects in Latent Fingerprint Matching and their Relation to Image Quality. 170-179 - Adelaida Zuluaga Cajiao, Andrés Rosso-Mateus:
Graph-based Similarity for Document Retrieval in the Biomedical Domain. 180-184
Session 5 - Information Systems and Management
- Miao Yuan:
A Transformer-based Model Integrated with Feature Selection for Credit Card Fraud Detection. 185-190 - Toluwalope David Akande, Barjinder Kaur, Sajjad Dadkhah, Ali A. Ghorbani:
Threshold based Technique to Detect Anomalies using Log Files. 191-198 - Agris Nikitenko, Ilze Andersone, Andrejs Zujevs, Elina Gaile-Sarkane, Valdis Bergs:
Customer behaviour forecast using deep learning networks. 199-208 - Ugo Lecerf, Christelle Yemdji Tchassi, Sébastien Aubert, Pietro Michiardi:
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios. 209-215 - Vojtech Uher, Pavel Krömer:
Lehmer Encoding for Evolutionary Algorithms on Traveling Salesman Problem. 216-222 - Ghery Huanca, Jhon Abel Ordonez, Carlos Helsner Menacho:
Personal Protective Equipment use inspection, real time surveillance with YOLO. 223-229 - Ahmed Mostafa Abdelkhalek, Noor El-Deen Magdy Mohamed, Mostafa Mahmoud Abdelhakam, Mahmoud Mohamed Elmesalawy:
Dynamic User-Centric Clustered Workplaces for COVID-19 Control Measures Based on Geofencing and Deep Learning. 230-236 - Tobias Pettersson, Rachid Oucheikh, Tuwe Löfström:
NLP Cross-Domain Recognition of Retail Products. 237-243
Session 6 - Computer and Information Engineering
- Filippo Neri:
Coevolution and learning symbolic concepts: statistical validation: Empirical statistical validation of co-evolutive machine learning systems. 244-248 - Rayan Abri, Sara Abri, Salih Çetin:
Providing A Topic-Based LSTM Model to Re-Rank Search Results. 249-254 - Sakib Shahriar, Kadhim Hayawi:
NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks. 255-259 - Shengbing Tang, Kenji Fujimoto, Ichiro Maruta:
Learning dynamical systems using a novel multiple-output Gaussian process model. 260-265 - Ruslan Vdovychenko, Vadim Tulchinsky:
Sparse Distributed Memory for Binary Sparse Distributed Representations. 266-270 - Micaela Carolina Jara Ten Kathen, Isabel Jurado Flores, Daniel Gutiérrez-Reina:
A Comparison of PSO-Based Informative Path Planners for Autonomous Surface Vehicles for Water Resource Monitoring. 271-276 - Archit Parnami, Minwoo Lee:
Few-Shot Keyword Spotting With Prototypical Networks. 277-283 - Wenbin Li, Doua Hugues Zemi, Valentin Redon, Matthieu Liewig:
Multi-Task Attention Network for Digital Context Classification from Internet Traffic. 284-291
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