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Publication search results
found 24 matches
- 2023
- Ming-Li Zhao, Shao-Quan Ni, Zhi-Gang Du, Xiao-Yang Wang, Ai-Qing Tian, Xiao-Long Ma:
Multi-Objective Gannet Optimization Algorithm for Dynamic Passenger Flow Allocation in Train Operation Plan Optimization. IEEE Access 11: 103693-103711 (2023) - Jingwen Jiang, Keji Zhou, Jinhao Liang, Fengshi Tian, Chenyang Zhao, Jianguo Yang, Xiaoyong Xue, Xiaoyang Zeng:
Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator With Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 986-999 (2023) - Jinmao Tong, Zhongwang Cao, Wen Fu:
Motion vector steganography algorithm of sports training video integrating with artificial bee colony algorithm and human-centered AI for web applications. J. Intell. Syst. 32(1) (2023) - Madeleine Abernot, Aida Todri-Sanial:
Training energy-based single-layer Hopfield and oscillatory networks with unsupervised and supervised algorithms for image classification. Neural Comput. Appl. 35(25): 18505-18518 (2023) - Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi:
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. EAAMO 2023: 23:1-23:11 - Oluwatosin Ogundare, Gustavo Quiros Araya, Yassine Qamsane:
No Code AI: Automatic generation of Function Block Diagrams from documentation and associated heuristic for context-aware ML algorithm training. CoRR abs/2304.04117 (2023) - 2022
- Alban Marie, Karol Desnos, Luce Morin, Lu Zhang:
Expert training: Enhancing AI resilience to image coding artifacts. Image Processing: Algorithms and Systems 2022: 1-6 - Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi:
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. CoRR abs/2206.00553 (2022) - 2021
- Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp:
Local Data Debiasing for Fairness Based on Generative Adversarial Training. Algorithms 14(3): 87 (2021) - Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi, Sanem Sariel, Dongsoo Har:
Two-stage training algorithm for AI robot soccer. PeerJ Comput. Sci. 7: e718 (2021) - Jeet Biswas, Markus Haid, Ishak Boyaci, Indrashis Nath, Bharat Hegde, Oliver Janssen, Oliver Kohl, Andreas Minarski:
Sentiment Analysis Using AI: A Comparative Study Comparative Study of 5 Different Algorithms and Benchmarking Them with A Qualitative Analysis of Training time, Prediction time, and Accuracy. ISEEIE 2021: 373-377 - Taeyoung Kim, Luiz Felipe Vecchietti, Kyujin Choi, Sanem Sariel, Dongsoo Har:
Two-stage training algorithm for AI robot soccer. CoRR abs/2104.05931 (2021) - 2020
- Zhongyi Zha, Xue-Song Tang, Bo Wang:
An Advanced Actor-Critic Algorithm for Training Video Game AI. NCAA 2020: 368-380 - 2019
- Madeleine Schneider, Robert Thomsons:
What Makes a Good Diagnosis: An Algorithm to Detect Biased Training Data. AAAI Spring Symposium: Interpretable AI for Well-being 2019 - 2017
- Shuihua Wang, Ravipudi Venkata Rao, Peng Chen, Yudong Zhang, Aijun Liu, Ling Wei:
Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm. Fundam. Informaticae 151(1-4): 191-211 (2017) - 2016
- Ho Ching Cheng, Pankaj Rajak, Chunyang Sheng, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
A high-throughput multiobjective genetic-algorithm workflow for in situ training of reactive molecular-dynamics force fields. SpringSim (HPS) 2016: 2 - 2014
- Ai-Min Fu, Xi-Zhao Wang, Yu-Lin He, Lai-Sheng Wang:
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146: 75-82 (2014) - 2011
- Antti Airola, Tapio Pahikkala, Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) 2011: 134-141 - 2008
- Boseon Byeon, Khaled Rasheed, Prashant Doshi:
Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection. IC-AI 2008: 821-827 - Jitendriya Kumar Satapathy, Konidala Ratna Subhashini:
A Tabu Based Neural Network Training Algorithm for Equalization of Communication Channels. IC-AI 2008: 79-85 - 2007
- Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa Elshafei:
Dynamic Programming Algorithm for Training Functional Networks. IC-AI 2007: 801-805 - 2004
- Brian Clow, Tony White:
An Evolutionary Race: A Comparison of Genetic Algorithms and Particle Swarm Optimization for Training Neural Networks. IC-AI 2004: 582-588 - Juan Carlos Rosete Fonseca, Alejandro Vega Salinas:
Training Robots in Virtual Environments Using Genetic Algorithms. IC-AI 2004: 562-568 - 1996
- Fredric C. Gey, Aitao Chen, Jianzhang He, Liangjie Xu, Jason Meggs:
Term importance, Boolean conjunct training, negative terms, and foreign language retrieval: probabilistic algorithms at TREC-5. TREC 1996
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