Computational Intelligence

Author(s): Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li

Pages: 1947 - 1958

14) An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems

Author(s): Daniel Gutierrez-Galan, Thorben Schoepe, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez, Elisabetta Chicca, Alejandro Linares-Barranco

Pages: 1959 - 1973

15) Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application

Author(s): Zhou Wu, Qian Li, Haijun Zhang

Pages: 1974 - 1985

16) Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks

Author(s): Anguo Zhang, Xiumin Li, Yueming Gao, Yuzhen Niu

Pages: 1986 - 1995

17) How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase

Author(s): Aida Todri-Sanial, Stefania Carapezzi, Corentin Delacour, Madeleine Abernot, Thierry Gil, Elisabetta Corti, Siegfried F. Karg, Juan Nüñez, Manuel Jiménèz, María J. Avedillo, Bernabé Linares-Barranco

Pages: 1996 - 2009

18) Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting

Author(s): Baosheng Zhang, Yuchen Guo, Yipeng Li, Yuwei He, Haoqian Wang, Qionghai Dai

Pages: 2010 - 2022

19) Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks

Author(s): Qiyu Sun, Yang Tang, Chongzhen Zhang, Chaoqiang Zhao, Feng Qian, Jürgen Kurths

Pages: 2023 - 2033

20) Multisample Online Learning for Probabilistic Spiking Neural Networks

Author(s): Hyeryung Jang, Osvaldo Simeone

Pages: 2034 - 2044

21) Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture

Author(s): Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio

Pages: 2045 - 2056

22) Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach

Author(s): Fanghong Guo, Bowen Xu, Wen-An Zhang, Changyun Wen, Dan Zhang, Li Yu

Pages: 2057 - 2069

23) Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method

Author(s): Feng Duan, Yikang Yang

Pages: 2070 - 2079

24) A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace

Author(s): Xianpeng Wang, Tenghui Hu, Lixin Tang

Pages: 2080 - 2093

25) A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space

Author(s): Dengpeng Xing, Jiale Li, Tielin Zhang, Bo Xu

Pages: 2094 - 2105

26) Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application

Author(s): Qinghui Hong, Hegan Chen, Jingru Sun, Chunhua Wang

Pages: 2106 - 2120

27) Memristor-Based Edge Computing of Blaze Block for Image Recognition

Author(s): Huanhuan Ran, Shiping Wen, Qian Li, Yin Yang, Kaibo Shi, Yuming Feng, Pan Zhou, Tingwen Huang

Pages: 2121 - 2131

28) Target Convergence Analysis of Cancer-Inspired Swarms for Early Disease Diagnosis and Targeted Collective Therapy

Author(s): Nasibeh Rady Raz, Mohammad-R. Akbarzadeh-T

Pages: 2132 - 2146

29) Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network

Author(s): Zhenshan Bing, Amir EI Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois Knoll

Pages: 2147 - 2158

30) An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control

Author(s): Kang Wang, Di-Hua Zhai, Yuhan Xiong, Leyun Hu, Yuanqing Xia

Pages: 2159 - 2167

31) Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments

Author(s): Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao

Pages: 2168 - 2180

32) Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks

Author(s): Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao

Pages: 2181 - 2194

33) Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling

Author(s): Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi

Pages: 2195 - 2207

34) SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification

Author(s): Rui Wang, Xiao-Jun Wu, Josef Kittler

Pages: 2208 - 2222

35) An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning

Author(s): Wenjia Meng, Qian Zheng, Yue Shi, Gang Pan

Pages: 2223 - 2235

36) Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition

Author(s): Longxin Li, Man-Wai Mak, Jen-Tzung Chien

Pages: 2236 - 2245

37) A Neuromorphic CMOS Circuit With Self-Repairing Capability

Author(s): Ehsan Rahiminejad, Fatemeh Azad, Adel Parvizi-Fard, Mahmood Amiri, Bernabé Linares-Barranco

Pages: 2246 - 2258

38) StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs

Author(s): Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang

Pages: 2259 - 2273

39) Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure

Author(s): Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang

Pages: 2274 - 2280

Sunday, May 15, 2022

Conference Paper Deadline: IEEE LA-CCI 2022

The deadline for submitting papers to the 8th IEEE Latin American Conference on Computational Intelligence (IEEE LA-CCI 2022) is 29 May 2022. This conference will be held in Montevideo, Uruguay, 22-25 November, 2022.

Saturday, May 14, 2022

Conference paper deadline: ICISCI 2022

The deadline for submitting papers to the International Conference on Intelligent Systems and Computational Intelligence (ICISCI 2022) is 1 July 2022. This conference will be held in Changsha, China, 15-17 October 2022.

Friday, May 13, 2022

Weekly Review 13 May 2022

Some interesting links that I tweeted about this week:

1) Meta's language model, equivalent to GPT-3, is now free to use: https://spectrum.ieee.org/large-language-models-meta-openai

2) How an unregulated AI caused a government to resign: https://spectrum.ieee.org/artificial-intelligence-in-government

Thursday, May 12, 2022

Conference paper deadline: IEEE SSCI 2022

The deadline for submitting papers to the 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) is 1 July 2022. This conference will be held 4-7 December 2022 in Singapore.

Wednesday, May 11, 2022

Conference paper deadline: ACAIT 2022

The paper submission deadline for the 2022 Asian Conference on Artificial Intelligence Technology (ACAIT 2022) is 30 May 2022. This conference will be held in Changzhou, China, 28-30 October 2022.

Tuesday, May 10, 2022

Conference paper deadline: IEEE CIBCB 2022

The deadline for submitting papers to the 2022 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2022) is 15 May 2022. This conference will be held 15-17 August 2022 in Ottawa, Canada.

Friday, May 6, 2022

Weekly Review 6 May 2022

1) Controlling fusion plasma with #AI: https://www.wired.co.uk/article/deepmind-ai-nuclear-fusion

2) I agree, people need to put more effort into preparing the data for their #AI, and we need lighter-weight algorithms as well: https://spectrum.ieee.org/andrew-ng-data-centric-ai

3) An older article, on building a chatbot with Python: https://www.kdnuggets.com/2019/12/build-intelligent-chatbot.html

4) Not so much wanting to list the #AI as the inventor for patent purposes, as the company that owns the AI. This makes more sense to me: https://www.odt.co.nz/news/national/legal-challenge-ai-test-case

5) Combining optical diffraction with #DeepLearning to encrypt and decrypt images: https://spectrum.ieee.org/deep-learning-facial-recognition-technology

6) Self-driving cars is one area where explainable #AI is very important: https://spectrum.ieee.org/at-last-a-self-driving-car-that-can-explain-itself

7) The use of #MachineLearning can improve business, but it's not a silver bullet: https://www.kdnuggets.com/2021/12/machine-learning-produce-value-business.html

8) An open source #Ai group who think OpenAI is not open enough: https://spectrum.ieee.org/eleutherai-openai-not-open-enough

9) A smart agent for selecting which cookies to accept: https://www.theregister.com/2022/04/12/cookie_consent_is_broken_and/

10) 12 graphs about the state of #AI in 2022, and what they show: https://spectrum.ieee.org/artificial-intelligence-index

11) #MachineLearning models can leak personal data, but only if the training data set is accessible: https://www.theregister.com/2022/04/12/machine_learning_poisoning/

12) Ordering companies to destroy their #AI models constructed with illegally gathered data: https://spectrum.ieee.org/ai-concerns-algorithmic-destruction

13) More work on the limitations of #DeepLearning: https://spectrum.ieee.org/deep-neural-network