- Giovanni Maimone, Giulia Nicoletti, Simone Mazzetti, Daniele Regge, Valentina Giannini:
Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI. MeMeA 2022: 1-5 - Md Maruf Hossain Shuvo, Nafis Ahmed, Humayera Islam, Khuder Alaboud, Jianlin Cheng, Abu Saleh Mohammad Mosa, Syed Kamrul Islam:
Machine Learning Embedded Smartphone Application for Early-Stage Diabetes Risk Assessment. MeMeA 2022: 1-6 - Lili Zhu, Petros Spachos, Stefano Gregori:
Multimodal Physiological Signals and Machine Learning for Stress Detection by Wearable Devices. MeMeA 2022: 1-6 - 2021
- Janmenjoy Nayak, Bighnaraj Naik, Pandit Byomakesha Dash, Alireza Souri, Vimal Shanmuganathan:
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition. Appl. Soft Comput. 107: 107478 (2021) - Suejb Memeti, Sabri Pllana:
Optimization of heterogeneous systems with AI planning heuristics and machine learning: a performance and energy aware approach. Computing 103(12): 2943-2966 (2021) - Memedhe Ibrahimi, Hatef Abdollahi, Cristina Rottondi, Alessandro Giusti, Alessio Ferrari, Vittorio Curri, Massimo Tornatore:
Machine learning regression for QoT estimation of unestablished lightpaths. JOCN 13(4): B92-B101 (2021) - Varun Barthwal, Man Mohan Singh Rauthan:
AntPu: a meta-heuristic approach for energy-efficient and SLA aware management of virtual machines in cloud computing. Memetic Comput. 13(1): 91-110 (2021) - Leandro Donisi, Pasquale Moretta, Armando Coccia, Federica Amitrano, Arcangelo Biancardi, Giovanni D'Addio:
Distinguishing Stroke patients with and without Unilateral Spatial Neglect by means of Clinical Features: a Tree-based Machine Learning Approach. MeMeA 2021: 1-5 - Itaf Omar Joudeh, Ana-Maria Cretu, R. Bruce Wallace, Rafik A. Goubran, Michel Allegue-Martínez, Frank Knoefel:
Location Independence in Machine Learning Classification of Sitting-Down and Standing-Up Actions using Wi-Fi Sensors. MeMeA 2021: 1-6 - Marie Jung, Michael Caris, Stephan Stanko:
Non-contact Blood Pressure Estimation Using a 300 GHz Continuous Wave Radar and Machine Learning Models. MeMeA 2021: 1-6 - Julio J. Valdés, Pengcheng Xi, Madison Cohen-McFarlane, Bruce Wallace, Rafik Goubran, Frank Knoefel:
Analysis of cough sound measurements including COVID-19 positive cases: A machine learning characterization. MeMeA 2021: 1-6 - Jafar Badour, Joseph Alexander Brown:
Hateful Memes Classification using Machine Learning. SSCI 2021: 1-8 - Suejb Memeti, Sabri Pllana:
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach. CoRR abs/2106.01441 (2021) - 2020
- Mehdi Abedi, Raymond Chiong, Nasimul Noman, Rui Zhang:
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines. Expert Syst. Appl. 157: 113348 (2020) - Shenpei Zhou, Bingchen Qiao, Haoran Li, Bin Ran:
Recognition of driver emergency braking behaviour based on support vector machine optimised by memetic algorithm. Int. J. Bio Inspired Comput. 16(4): 220-228 (2020) - Xixian Zhang, Zhijing Yang, Faxian Cao, Jiang-Zhong Cao, Meilin Wang, Nian Cai:
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm. Memetic Comput. 12(2): 151-164 (2020) - Junwen Ding, Liji Shen, Zhipeng Lü, Liping Xu, Una Benlic:
A Hybrid Memetic Algorithm for the Parallel Machine Scheduling Problem With Job Deteriorating Effects. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 385-397 (2020) - Jakub Nalepa, Wojciech Dudzik, Michal Kawulok:
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR 2020: 5503-5510 - Devottam Gaurav, Shishir K. Shandilya, Sanju Mishra Tiwari, Ayush Goyal:
A Machine Learning Method for Recognizing Invasive Content in Memes. KGSWC 2020: 195-213 - Omiya Hassan, Samira Shamsir, Syed K. Islam:
Machine Learning Based Hardware Model for a Biomedical System for Prediction of Respiratory Failure. MeMeA 2020: 1-5 - Poojitha Uthappa P, Keerthi Ram, P. M. Nabeel, Raj Kiran V., Jayaraj Joseph, Mohanasankar Sivaprakasam:
Blood Pressure Estimation using Arterial Diameter: Exploring Different Machine Learning Methods. MeMeA 2020: 1-6 - Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giuseppe Cesarelli, Giovanni D'Addio, Paolo Barone:
Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning. MeMeA 2020: 1-6 - Carlo Ricciardi, Marianna Amboni, Chiara De Santis, Gianluca Ricciardelli, Giovanni Improta, Giovanni D'Addio, Sofia Cuoco, Marina Picillo, Paolo Barone, Mario Cesarelli:
Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease. MeMeA 2020: 1-6 - Shivendra Singh, Ashish Kumar Sahani:
A Machine Learning Approach to Carotid Wall Localization in A-mode Ultrasound. MeMeA 2020: 1-5 - Wojciech Kretowicz, Przemyslaw Biecek:
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets. CoRR abs/2008.13162 (2020) - 2019
- Suejb Memeti, Sabri Pllana, Alécio Pedro Delazari Binotto, Joanna Kolodziej, Ivona Brandic:
Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review. Computing 101(8): 893-936 (2019) - Diego Granziol, Bin Xin Ru, Stefan Zohren, Xiaowen Dong, Michael A. Osborne, Stephen J. Roberts:
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning. Entropy 21(6): 551 (2019) - Weipeng Cao, Zhong Ming, Xizhao Wang, Shubin Cai:
Improved bidirectional extreme learning machine based on enhanced random search. Memetic Comput. 11(1): 19-26 (2019) - Chengbo Lu, Haifeng Ke, Gaoyan Zhang, Ying Mei, Huihui Xu:
An improved weighted extreme learning machine for imbalanced data classification. Memetic Comput. 11(1): 27-34 (2019) - Mao Tan, Hua-Li Yang, Yongxin Su:
Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines. Memetic Comput. 11(4): 439-452 (2019)