Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Multimodal Dataset"”.
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Decoding Neural Processing of Linguistic Features From Large-Scale Intracranial Recordings and Naturalistic Language Stimuli
… data from the Brain TreeBank, a large-scale multimodal dataset of recorded brain activity, we fit Generalized Linear Models (GLM) to map language and vision stimuli to induced brain activity. This framework allows us to localize processing areas in the brain per feature, as well as explore …
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Model Control through Lightweight Activation Steering for Vision Language Models
… VNIA (Visual Narrative Intent Alignment), a multimodal dataset specifically created to facilitate the development and evaluation of VLM steering techniques. Our method outperforms existing intervention techniques on steering and hallucination mitigation benchmarks for VLMs and proposes a …
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A Taxonomic Framework for the Classification of Wildfire Social Media Data in Canada
This study introduces WildFireCan-MMD, a novel multimodal dataset containing annotated posts from X from recent Canadian wildfires across twelve key themes, addressing the need for building cost-effective real-time information systems during wildfire events. It evaluates vision-language models, …
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Digital Symbol Digit Test: Multimodal Behavior Detection and Visualization
… and visualization. By creating a synchronized multimodal dataset, we can visualize participant behavior for more intuitive interpretation and draw meaningful conclusions. These contributions provide an end-to-end framework for analyzing behavior during the cognitive assessment and lay the …
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Cognitive, Clinical, and Biomarker Correlates of Insight in Obsessive–Compulsive Disorder: preliminary results of a cross-sectional study
… dimensional and machine-learning approaches. A multimodal dataset including psychometric scales (Y-BOCS, BABS), MATRICS-defined cognitive tests, polysomnography, and serum biomarkers (BDNF, TNF-α, CRP) was analyzed in adult OCD subgroups characterized by late onset (LO) and poor insight (PI). …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability …
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Millimeter-wave radar dataset for multi-modal fusion and keypoint detection in under-canopy soybean and corn row navigation
… and degraded visibility. We a novel under-canopy dataset, collected over two growing seasons in corn and soybean fields, that integrates 77 GHz millimeter-wave (mmWave) radar with RGB-D stereo imagery and inertial measurements under a range of environmental conditions (low light, dust, and foliage …
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Data-driven Representations in Brain Science: Modelling Approaches in Gene Expression and Neuroimaging Domains
… profiles that can be generalisable to external datasets will be extracted by applying multilayer co-expression networks across 49 human tissues. Then, a novel deep learning model will be introduced to leverage the entirety of resting-state fMRI data (i.e., spatial and temporal dynamics), as …
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Electric vehicules cyber-attack detection
… This work builds upon the published CICEVSE2024 dataset, which is a multilayer, multimodal dataset that provides telemetry data from a simulated EV charging environment. At this time, there was limited research on the use of telemetry measurement, and the potential value add to an intrusion …
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Examining the Effects of transcranial Electrical Stimulation on Vigilance and Attention
… characterizations have lacked a well-rounded, multimodal examination of both discrete and continuous, and acute and long-term changes in vigilance and attention; behaviorally and physiologically.</p> <p><strong>This work examined the effects of High-Definition tES (HD-tES) on …
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Analysis of users' psycho-physiological parameters in response to affective multimedia - A mutlimodal and implicit approach for user-centric multimedia tagging
… (and made publicly available) the very first multimodal dataset that includes the MEG brain signals, facial videos and some peripheral physisological signals of 30 users in response to two sets of affective dynamic stimuli. The dataset is recorded via cutting-edge lab equipments in highly …
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Codificare il Corpo: uno Studio dell’Approccio Cognitivo e Socio-Semiotico nella Creazione di un Dataset Multimodale in Lingua dei Segni Italiana (LIS).
… ha come obiettivo la presentazione di un dataset multimodale in Lingua dei Segni Italiana (LIS), descrivendo i processi di raccolta e annotazione computazionale dei dati. Nella ricerca sulle lingue dei segni, la dicotomia tra prospettive di contrasto e continuità rispetto alle lingue …
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Using affective computing to enhance the believability of virtual agents and the social interaction with users
… with physiological measures generated a new dataset. Using this dataset, classifiers were built to identify subclasses within the P, A and D components of the selected subspace, while investigating how varying the size and offset of time windows for processing physiological signals affected …