ArticleSensors (Basel, Switzerland)2023
Effective Techniques for Multimodal Data Fusion: A Comparative Analysis.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Spectroscopy-multimodal data fusion empowers smart food quality analysis: Challenges and prospects.Food chemistry: X · 2026Review
- Benchmarking Multimodal Deep Fusion Strategies for Heterogeneous Neuroimaging and Cognitive Data Using a Controlled Sex Classification Task.Brain sciences · 2026Article
- Review
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- Translating Features to Findings: Deep Learning for Melanoma Subtype Prediction.Dermatopathology (Basel, Switzerland) · 2025Review
- A hybrid method for fusion cardiac biomarkers and echocardiography videos in the experimental classification of Trypanosoma cruzi infection.Biomedical engineering online · 2025Article
- GPS: Harnessing data fusion strategies to improve the accuracy of machine learning-based genomic and phenotypic selection.Plant communications · 2025Article
- High-Accuracy Recognition Method for Diseased Chicken Feces Based on Image and Text Information Fusion.Animals : an open access journal from MDPI · 2025Article
- Multimodal fusion with relational learning for molecular property prediction.Communications chemistry · 2025Article
- Multimodal malware classification using proposed ensemble deep neural network framework.Scientific reports · 2025Article
- Recent Advances in Vehicle Driver Health Monitoring Systems.Sensors (Basel, Switzerland) · 2025Review
- Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network.Scientific reports · 2025Article
- Advancing Emotionally Aware Child-Robot Interaction with Biophysical Data and Insight-Driven Affective Computing.Sensors (Basel, Switzerland) · 2025Article
- A multi-modal deep learning solution for precise pneumonia diagnosis: the PneumoFusion-Net model.Frontiers in physiology · 2025Article
- Ultrasonic Weld Quality Inspection Involving Strength Prediction and Defect Detection in Data-Constrained Training Environments.Sensors (Basel, Switzerland) · 2024Article
- Fusion of Multimodal Imaging and 3D Digitization Using Photogrammetry.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Data processing in robotics is currently challenged by the effective building of multimodal and common representations. Tremendous volumes of raw data are available and their smart management is the core concept of multimodal learning in a new paradigm for data fusion. Although several techniques for building multimodal representations have been proven successful, they have not yet been analyzed and compared in a given production setting. This paper explored three of the most common techniques, (1) the late fusion, (2) the early fusion, and (3) the sketch, and compared them in classification tasks. Our paper explored different types of data (modalities) that could be gathered by sensors serving a wide range of sensor applications. Our experiments were conducted on Amazon Reviews, MovieLens25M, and Movie-Lens1M datasets. Their outcomes allowed us to confirm that the choice of fusion technique for building multimodal representation is crucial to obtain the highest possible model performance resulting from the proper modality combination. Consequently, we designed criteria for choosing this optimal data fusion technique.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.