A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Quantum-inspired Multimodal Fusion for Video Sentiment Analysis
[article]
2021
arXiv
pre-print
Preserved Fulltext
Other Versions
We tackle the crucial challenge of fusing different modalities of features for multimodal sentiment analysis. ...
We address this limitation with inspirations from quantum theory, which contains principled methods for modeling complicated interactions and correlations. ...
Jakob Simenson for his valuable feedback. ...
arXiv:2103.10572v2
fatcat:hldyp5i35jhwrdtc7gvneb353m
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2101.04406v1 fatcat:n6p6ree4xrg6dkzse3mkih2ida
Video sentiment analysis as a decision-making process is inherently complex, involving the fusion of decisions from multiple modalities and the so-caused cognitive biases. ...
Accordingly, we propose a fundamentally new, quantum cognitively motivated fusion strategy for predicting sentiment judgments. ...
Acknowledgements This study is supported by the Quantum Information Access and Retrieval Theory (QUARTZ) project, which has received funding from the European Union's Horizon 2020 research and innovation ...
arXiv:2101.04406v2
fatcat:unnemhca2vf3nk3f3twbydjema
A quantum-inspired multimodal sentiment analysis framework
2018
Theoretical Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., A Quantum-Inspired Multimodal Sentiment Analysis Framework, Theoret. Comput. Sci. (2018), https://doi. ...
To address the problem, in this paper, we propose a Quantum-inspired Multimodal Sentiment Analysis (QMSA) framework. ...
doubleslit experiment, and propose a Quantum Interference inspired Multimodal decision Fusion (QIMF) strategy. • We propose an integrated Quantum-inspired Multimodal Sentiment Analysis (QMSA) 90 framework ...
doi:10.1016/j.tcs.2018.04.029
fatcat:rpnlxnvps5fklcqozncurg3tyq
An Efficient Fusion Mechanism for Multimodal Low-resource Setting
2022
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We evaluate our proposed approach on three low-resource multimodal sentiment analysis datasets, i.e., YouTube, MOUD, and ICT-MMMO. ...
The fusion of different modalities could even be more challenging under the low-resource setting, where we have fewer samples for training. ...
[12] proposed a quantum-inspired framework for sentiment analysis. ...
doi:10.1145/3477495.3531900
fatcat:tayvpdakvjce7cyfhdotcfpv3e
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Multimodal sentiment analysis (MSA) draws increasing attention with the availability of multimodal data. The boost in performance of MSA models is mainly hindered by two problems. ...
To address the above-mentioned problems, we propose a novel MSA framework Modulation Model for Multimodal Sentiment Analysis (M^3SA) to identify the contribution of modalities and reduce the impact of ...
., 2016a ) are adopted to perform MSA in our experiments: 1) CMU-MOSI is a widely-used dataset for multimodal sentiment analysis, which is a collection of 2199 opinion video clips. ...
arXiv:2111.08451v1
fatcat:yntxyipgsndo5biphjrdbyfnie
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In the field of multimodal sentiment analysis (MSA), most previous works focus on exploring intra- and inter-modal interactions. ...
The wide application of smart devices enables the availability of multimodal data, which can be utilized in many tasks. ...
RELATED WORK
Multimodal Sentiment Analysis In recent years, multimodal sentiment analysis (MSA) has attracted significant research interest with the availability of multimodal data [1] , [21] . ...
arXiv:2109.01797v1
fatcat:oqw3edzt7fha5pmzokp36crvwe
A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Consequently, automated sentiment analysis (SA) is critical for recognising people's feelings in ways that other information sources cannot. ...
By including such characteristics from various material sources, these multimodal data streams provide new opportunities for optimising the expected results beyond text-based SA. ...
[190] proposed a quantum-inspired multimodal SA (QMSA) system. The system contains a quantuminspired multimodal representation model. ...
arXiv:2207.02160v1
fatcat:l3vxpjnqkrfthkvhdldwonpoe4
A Survey of Quantum Theory Inspired Approaches to Information Retrieval
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Although Quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results. ...
Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. ...
The authors are hopeful that this literature survey is able to provide a clear picture of the quantum-inspired IR field and set a road-map for researchers to take this field forward. ...
arXiv:2007.04357v1
fatcat:uc6mi6mlizfivk2v3reb474s4q
Modern Views of Machine Learning for Precision Psychiatry
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We further discuss explainable AI (XAI) and causality testing in a closed-human-in-the-loop manner, and highlight the ML potential in multimedia information extraction and multimodal data fusion. ...
Advanced wearable and mobile technologies also call for the new role of ML/AI for digital phenotyping in mobile mental health. ...
We thank Robert MacKay for English proofreading.
Declaration of interests The authors declare no competing financial interests.
References ...
arXiv:2204.01607v2
fatcat:coo557v2jzh6debycy3mhccfze
Recent Advances in Information Technology
2014
The Scientific World Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In the paper entitled "A generalized quantum-inspired decision making model for intelligent agent" by Y. Hu and C. K. Loo, a generalized quantum-inspired decision making model (QDM) is proposed. ...
In the paper entitled "Comparative study of multimodal biometric recognition by fusion of iris and fingerprint" by H. Benaliouche and M. ...
We wish to express our deepest thanks to the program committee members for their help in selecting papers for this issue and especially the referees of the extended versions of the selected papers for ...
doi:10.1155/2014/746479
pmid:25110742
pmcid:PMC4119702
fatcat:f3yq2agpevcvdbxe44umitvxa4
Quantum Cognitively Motivated Context-Aware Multimodal Representation Learning for Human Language Analysis
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
First, we present a comprehensive empirical comparison of state-of-the-art (SOTA) modality fusion strategies for video sentiment analysis. ...
Second, we introduce an end-to-end complex-valued neural model for video sentiment analysis, simulating quantum procedural steps, outside of physics, into the neural network modelling paradigm. ...
In line with this, in Chapter 4, we have proposed a quantum-inspired multimodal fusion model for video sentiment analysis. ...
doi:10.21954/ou.ro.00012a25
fatcat:55lw7adiezgbrcgo3qgj5i6tda
An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis
2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Therefore, a key challenge for video sentiment analysis is how to combine different modalities for sentiment recognition effectively. ...
Comprehensive evaluation on two benchmarking datasets for video sentiment analysis shows that the model achieves significant performance improvement. ...
Recently, a quantum-inspired network for videos sentiment analysis exploits an early fusion of tri-modals via the tensor product of modalities [Li et al., 2021] . ...
doi:10.24963/ijcai.2021/239
fatcat:hgh3jljwxjdghc5ugpuyy2k6km
Final Program
2021
2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
State observers have proved to be very efficient tools for information reconstruction in dynamical systems since R. E. Kalman introduced them at the end of 1950's. ...
Rohrer, and which has been attracting an increasing attention even in the control community for the past two decades, within the challenging context of submicronic research. ...
This indicates that multimodallate fused architecture and multimodal imaging systems have great potential for agricultural and other industrial applications. ...
doi:10.1109/cce53527.2021.9632879
fatcat:tklvuqrhajagxf4cfcmufbcveu
Front Matter
2020
2020 International Joint Conference on Neural Networks (IJCNN)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
[#20628] Tadeusz Szuba and Danuta Sztuba UPJP2 University, Poland P5919 Multimodal Emotion Recognition Using Deep Generalized Canonical Correlation Analysis with an Attention Mechanism [#20729] Yu-ting ...
Healthcare and Bio-signals Analysis
Tuesday, July 21, 4:45PM-6:45PM, Room: IJCNN Room 3, Chair: Francesco Carlo Morabito
4:45PM A comparative analysis of multi-backbone Mask R-CNN for surgical tools ...
doi:10.1109/ijcnn48605.2020.9207579
fatcat:hptkppolhbfn7nz3yangesetpi
Data science and AI in FinTech: an overview
2021
International Journal of Data Science and Analytics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and artificial intelligence (DSAI) techniques. ...
The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, Trade-Tech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and ...
DSAI-enabled smart marketing involves many opportunities, such as conducting consumer sentiment and public emotion analysis; understanding consumer/client opinion and intention; quantifying, characterizing ...
doi:10.1007/s41060-021-00278-w
fatcat:4qo3swacjbaaxh56p5bvhmjzqa
« Previous
Showing results 1 — 15 out of 81 results