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ORCIDIntelligent Computing, Volume 3
Volume 3, 2024
- Alican Akman, Björn W. Schuller:
Audio Explainable Artificial Intelligence: A Review. - Sylvain Gigan
:
Making Imaging "Intelligent" by Merging Traditional Imaging Systems with Modern Algorithms: The Rise of Computational Imaging. - He-Liang Huang, Youwei Zhao, Chu Guo:
How to Design a Classically Difficult Random Quantum Circuit for Quantum Computational Advantage Experiments. - Zhoufei Tang, Tao Lu, Tianyi Li:
Metric-Independent Mitigation of Unpredefined Bias in Machine Classification. - Kajsa Williams, Louis-S. Bouchard:
Quantification of Robustness, Leakage, and Seepage for Composite and Adiabatic Gates on Modern NISQ Systems. - Zitong Ye, Yuran Huang, Jinfeng Zhang, Yunbo Chen, Hanchu Ye, Cheng Ji, Luhong Jin, Yanhong Gan, Yile Sun, Wenli Tao, Yubing Han, Xu Liu, Youhua Chen, Cuifang Kuang, Wenjie Liu:
Universal and High-Fidelity Resolution Extending for Fluorescence Microscopy Using a Single-Training Physics-Informed Sparse Neural Network. - Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, Xin Jing, Alexander Kathan, Manuel Milling, Iosif Tsangko, Shahin Amiriparian, Björn W. Schuller:
Beyond Deep Learning: Charting the Next Frontiers of Affective Computing. - Fuji Ren, Yang-Yang Zhou, Jiawen Deng, Kazuyuki Matsumoto, Duo Feng, Tianhao She, Ziyun Jiao, Zheng Liu, Tai-Hao Li, Satoshi Nakagawa, Xin Kang:
Tracking Emotions Using an Evolutionary Model of Mental State Transitions: Introducing a New Paradigm. - Xin Zhang, Yaobin Wan, Wei Wang:
Dimensional Affective Speech Synthesis Based on Voice Conversion. - Wei Wu, Jianhua Zhu, Yong Yao, Yucheng Lan:
Can Molecular Quantum Computing Bridge Quantum Biology and Cognitive Science? - Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou, Hai-Zhong Weng, Bo-Wen Wang, Ke-Jie Huang, Xing Lin, Feng Liu, Chen-Hui Li, Chao-Yuan Jin:
Slimmed Optical Neural Networks with Multiplexed Neuron Sets and a Corresponding Backpropagation Training Algorithm. - Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan:
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs. - Yiyu Guo, Zhijin Qin, Xiaoming Tao, Octavia A. Dobre:
Federated Generative-Adversarial-Network-Enabled Channel Estimation. - Xiaogang Qiang, Shixin Ma, Haijing Song:
Quantum Walk Computing: Theory, Implementation, and Application. - Nicolas Roy, Henry Pièrard, Julie Bouhy, Alexandre Mayer, Olivier Deparis, David Gravis:
Animal Species Identification in Historical Parchments by Continuous Wavelet Transform-Convolutional Neural Network Classifier Applied to Ultraviolet-Visible-Near-Infrared Spectroscopic Data. - Siyuan Shen, Feng Liu, Hanyang Wang, Yunlong Wang, Aimin Zhou:
Temporal Shift Module with Pretrained Representations for Speech Emotion Recognition. - Guanxiong Pei, Haiying Li, Yandi Lu, Yanlei Wang, Shizhen Hua, Taihao Li:
Affective Computing: Recent Advances, Challenges, and Future Trends. - Stefano Biasi, Giovanni Donati, Alessio Lugnan, Mattia Mancinelli, Emiliano Staffoli, Lorenzo Pavesi:
Photonic Neural Networks Based on Integrated Silicon Microresonators. - Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan, Ibrahim Radwan, Roland Goecke, Ramanathan Subramanian:
Exploring Electroencephalography-Based Affective Analysis and Detection of Parkinson's Disease. - Yang Wang, Zhen Gao, Sheng Chen, Chun Hu, Dezhi Zheng:
Deep Learning-Based Channel Extrapolation and Multiuser Beamforming for RIS-aided Terahertz Massive MIMO Systems over Hybrid-Field Channels. - Xing Wang, Zhendong Wang, Kexin Yang, Zhiyan Song, Chong Bian, Junlan Feng, Chao Deng:
A Survey on Deep Learning for Cellular Traffic Prediction. - Chen Li, Mani Ratnam Rai, Yuheng Cai, H. Troy Ghashghaei, Alon Greenbaum:
Intelligent Beam Optimization for Light-Sheet Fluorescence Microscopy through Deep Learning. - Guofeng Yi, Cunhang Fan, Jianhua Tao, Zhao Lv, Zhengqi Wen, Guanxiong Pei, Taihao Li:
A Two-Stage Stacked Transformer Framework for Multimodal Sentiment Analysis. - Bernardo Gonçalves:
Passed the Turing Test: Living in Turing Futures. - Chang Su, Morteza Zangeneh Soroush, Nakisa Torkamanrahmani, Alejandra Ruiz Segura, Lin Yang, Xiaoyuan Li, Yong Zeng:
Measurement and Quantification of Stress in the Decision Process: A Model-Based Systematic Review. - Maëlle Moranges, Arnaud P. Fournel, Marc Thévenet, Marc Plantevit, Moustafa Bensafi:
Using Exceptional Attributed Subgraph Mining to Explore Interindividual Variability in Odor Pleasantness Processing in the Piriform Cortex and Amygdala. - Maxwell T. West, Azar C. Nakhl, Jamie Heredge, Floyd M. Creevey, Lloyd C. L. Hollenberg, Martin Sevior, Muhammad Usman:
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning. - Juan Lin, Shou-Bang Yang, Fan Wu, Zhen-Biao Yang:
Topological Transitions in a Kerr Nonlinear Oscillator. - Shen Wang, Mehdi Nikfar, Joshua C. Agar, Yaling Liu:
Stacked Deep Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations for Low Re Flow. - Nicolas Facchinetti, Federico Simonetta, Stavros Ntalampiras:
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition Models. - Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, Naoki Yamamoto:
A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications. - Laurynas Valantinas, Tom Vettenburg:
Scaling Up Wave Calculations with a Scattering Network. - Yu Zheng, Quansheng Ren:
Encoding Genetic and Structural Information in DNA Using Electric Field Gradients and Nuclear Spins. - Daniela Gandolfi, Lorenzo Benatti, Tommaso Zanotti, Giulia M. Boiani, Albertino Bigiani, Francesco Maria Puglisi, Jonathan Mapelli:
Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics.
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