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2021 Index IEEE Transactions on Affective Computing Vol. 12
2022
IEEE Transactions on Affective Computing
Preserved Fulltext
., +, TAFFC April -June 2021 377-390 Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. Xu, M., +, TAFFC Jan. ...
., +, TAFFC April -June 2021 377-390 Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. Xu, M., +, TAFFC Jan. ...
doi:10.1109/taffc.2021.3132546
fatcat:qjxf4chxybaelmyrlnhiesanai
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
[article]
2023
arXiv
pre-print
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There is a growing interest in product aesthetics analytics and design. ...
These are from our working topics where we try to obtain bio-inspired designs by morphing the cars' layouts after cheetah faces.
C. ...
The DVM-CAR dataset provides an excellent base for researchers to apply deep learning to extract visual attributes from car images. ...
arXiv:2109.00881v3
fatcat:7aqblztzkncxbitlhytxdonpyq
AI-Assisted Authentication: State of the Art, Taxonomy and Future Roadmap
[article]
2022
arXiv
pre-print
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In this paper, we focus on the applications of artificial intelligence in authentication, which is used in a wide range of scenarios including facial recognition to access buildings, keystroke dynamics ...
So far, we have applied Bio-Inspired learning into some AI fields, such as visual attention prediction [256] , facial aesthetic prediction [257] . ...
Bio-Inspired Learning Bio-Inspired machine learning is a future machine learning scheme inspired by biological structures. ...
arXiv:2204.12492v1
fatcat:vdeuhy63cvawjdhclricvkq42q
Crypto Makes AI Evolve
[article]
2022
arXiv
pre-print
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Then, we establish a future roadmap for further research in this area, focusing on the role of quantum-inspired and bio-inspired AI. ...
Moreover, Xu, et al. developed a framework for predicting facial aesthetics [128] . They first performed experiments to determine regions of interest. ...
In the direction of Bio-Inspired AI, we review some related research. Yuan, et al. demonstrate the effectiveness of bio-inspired representation learning for visual attention prediction [127] . ...
arXiv:2206.12669v1
fatcat:gm7hoplpnngrnc3ty53yfyfcrq
Turning the Hunted into the Hunter via Threat Hunting: Life Cycle, Ecosystem, Challenges and the Great Promise of AI
[article]
2022
arXiv
pre-print
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The system in [225] uses this data to create a Bio-Inspired Facial Aesthetic Ontology, and involve a CNN to train a set of human feature detectors. ...
FUTURE ROADMAP: THE PROMISE OF AI We anticipate that research on threat hunting will move towards quantum-inspired AI-assisted and bio-inspired AIassisted threat hunting in near future. ...
arXiv:2204.11076v1
fatcat:jc3bghaiungxxlta5itgjnla2a
Unit commitment considering multiple charging and discharging scenarios of plug-in electric vehicles
2015
2015 International Joint Conference on Neural Networks (IJCNN)
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Digital
Audio
Applications
2
+ Regular ses-
sion on Image
Analysis
Datamine: Data
and text mining
Image:
Image
analysis
Local : Local
learning
BioPerc2: Bio-
logically inspired
perception ...
Modes in Deep Predictive Coding Networks [#15668]
Eder Santana and Jose C. ...
doi:10.1109/ijcnn.2015.7280446
dblp:conf/ijcnn/YangLNF15
fatcat:6xlakikcfzfyhhm2spooe2j7ra
Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Semi-supervised Deep Learning Techniques for Spectrum Reconstruction Hong, Hanbin; Bao, Wentao; Hong, Yuan; Kong, Yu 1187 Privacy Attributes-Aware Message Passing Neural Network for Visual Privacy Attributes ...
Sherif Abdelmonem
Sayed; Yasin, Jawad; Haghbayan,
Mohammad-hashem; Miele,
Antonio; Heikkonen, Jukka Veikko;
Tenhunen, Hannu; Plosila, Juha
2910
OS T3.3
Dynamic Resource-aware Corner Detection for Bio-inspired ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
IEEE Access Special Section Editorial: Data Mining for Internet of Things
2021
IEEE Access
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His current research interests include artificial intelligence, soft computing, bio-inspired computing, data mining, deep learning, contextawareness, and machine learning, with more than 100 publications ...
learning H 2 O framework for emergency prediction in biomedical big data,'' by Elsayad et al., whale optimization algorithm (WOA) and deep learning were combined to predict emergencies using biomedical ...
doi:10.1109/access.2021.3090137
fatcat:cnleukmukfgexmkwx7tino2k5y
Cyborgian Approach of Eco-interaction Design Based on Machine Intelligence and Embodied Experience
[chapter]
2021
Proceedings of the 2020 DigitalFUTURES
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There're already biometric sensors that can recognize micro emotions after deep learning. ...
For instance, in the project Bio-responsive Garden, botanicals were fitted with microelectronics to make them physically animated. ...
doi:10.1007/978-981-33-4400-6_8
fatcat:xg5g6e6f4vda7i47aulfepegra
Deep Else: A Critical Framework for AI Art
2022
Digital
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The aim of this framework is to expand the existing critical discourse of AI art with new perspectives which can be used to examine the creative attributes of emerging practices and to assess their cultural ...
For example, Disnovation.org's Predictive Art Bot (since 2017) [113] questions the discursive authorities and aesthetic paradigms of AI art; Sofian Audry and Monty Cantsin's The Sense of Neoism! ...
The increasing affordance of multilayered sub-symbolic ML architectures such as Deep Learning (DL), as well as the raising socio-political impact of AI in the second half of the 2010s, have facilitated ...
doi:10.3390/digital2010001
fatcat:bwx2wjnx4jfadigc7b3qcginry
The Biology and Evolution of the Three Psychological Tendencies to Anthropomorphize Biology and Evolution
2018
Frontiers in Psychology
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At the core of anthropomorphism lies a false positive cognitive bias to over-attribute the pattern of the human body and/or mind. ...
Anthropomorphism is independently discussed in various disciplines, is presumed to have deep biological roots, but its cognitive bases are rarely explored in an integrative way. ...
Thus, it was carried to the cave, possibly because of the hominid's capacity toward anthropomorphic facial pareidolia being activated by the suggestive form of the pebble (Bednarik, 1998 ; Morriss-Kay ...
doi:10.3389/fpsyg.2018.01839
pmid:30327628
pmcid:PMC6174228
fatcat:se3qmuusnza5zkipcrav7vf33u
Art in the Age of Social Media: Interaction Behavior Analysis of Instagram Art Accounts
2019
Informatics
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According to the like equation, we can predict the popularity of one artist in the future. ...
Facial attraction is based on universal (inborn) perceptual mechanisms and cultural influences. ...
doi:10.3390/informatics6040052
fatcat:5pn3nybo2fcvhannqh354ucao4
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
[article]
2020
arXiv
pre-print
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Recent advances in deep learning have tremendously advanced predicting posture from videos directly, which quickly impacted neuroscience and biology more broadly. ...
In this primer we review the budding field of motion capture with deep learning. ...
Acknowledgments: We thank Yash Sharma for discussions around future directions in self-supervised learning, Erin Diel, Maxime Vidal, Claudio Michaelis, Thomas Biasi for comments on the manuscript. ...
arXiv:2009.00564v2
fatcat:w22iv453cbaa5fidf5hwemcxeu
Art and Human Nature
2004
Journal of Aesthetics and Art Criticism
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We would not predict that just anythe ways in which they address human nature. one from anywhere could recognize many of Duchamp's readymades as artworks. ...
Blackwell Publishing and The American Society for Aesthetics are collaborating with JSTOR to digitize, preserve and extend access to The Journal of Aesthetics and Art Criticism. ...
This is sensus that some facial displays of emotion why the close-up (of faces) and point-of-view elicit nearly universal attributions. ...
doi:10.1111/j.1540-594x.2004.00143.x
fatcat:5basf74f5fb5rmdlqd2ksg6xlu
A Survey on Computer Vision based Human Analysis in the COVID-19 Era
[article]
2022
arXiv
pre-print
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Particular attention is paid to the impact of facial masks on the performance of various methods and recent solutions to mitigate this problem. ...
Especially important here, are computer vision techniques that focus on the analysis of people and faces in visual data and have been affected the most by the partial occlusions introduced by the mandates for facial ...
[29] proposed to analyze the intensity of thermal images over time using deep learning techniques. ...
arXiv:2211.03705v1
fatcat:2xu2bsr4hzcm5iv4dyhs3rtili
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