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UbiEar
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10994-006-9019-7openalex-snapshot
Aggregate features and ADABOOST for music classification
inferredcites →https://doi.org/10.1016/j.apacoust.2014.01.001openalex-snapshot
Automatic bird sound detection in long real-field recordings: Applications and tools
inferredcites →https://doi.org/10.1080/00031305.1988.10475524openalex-snapshot
Thirteen Ways to Look at the Correlation Coefficient
inferredcites →https://doi.org/10.1093/deafed/ens023openalex-snapshot
Assistive Hearing Technologies Among Students With Hearing Impairment: Factors That Promote Satisfaction
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298681openalex-snapshot
Sparse Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/embc.2015.7319516openalex-snapshot
Design and evaluation of a smartphone application for non-speech sound awareness for people with hearing loss
inferredcites →https://doi.org/10.1109/icassp.1998.681443openalex-snapshot
Multidimensional independent component analysis
inferredcites →https://doi.org/10.1109/icassp.2015.7177951openalex-snapshot
Acoustic scene analysis from acoustic event sequence with intermittent missing event
inferredcites →https://doi.org/10.1109/icce-berlin.2016.7684706openalex-snapshot
Reduced memory region based deep Convolutional Neural Network detection
inferredcites →https://doi.org/10.1109/mlsp.2015.7324337openalex-snapshot
Environmental sound classification with convolutional neural networks
inferredcites →https://doi.org/10.1109/msp.2013.2297440openalex-snapshot
From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound
inferredcites →https://doi.org/10.1109/tce.2008.4711269openalex-snapshot
Automatic sound recognition for the hearing impaired
inferredcites →https://doi.org/10.1145/1090785.1090797openalex-snapshot
Visualizing non-speech sounds for the deaf
inferredcites →https://doi.org/10.1145/1639642.1639701openalex-snapshot
Tactile and visual alerts for deaf people by mobile phones
inferredcites →https://doi.org/10.1145/1869983.1869992openalex-snapshot
The Jigsaw continuous sensing engine for mobile phone applications
inferredcites →https://doi.org/10.1145/2702123.2702393openalex-snapshot
Head-Mounted Display Visualizations to Support Sound Awareness for the Deaf and Hard of Hearing
inferredcites →https://doi.org/10.1145/2982142.2982171openalex-snapshot
A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users
inferredcites →https://doi.org/10.1145/2994551.2994564openalex-snapshot
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables
inferredcites →https://doi.org/10.1190/igcbeijing2014-127openalex-snapshot
RTM noise attenuation and image enhancement using time-shift gathers
inferredcites →https://doi.org/10.3109/14992027.2013.769066openalex-snapshot
Why do people fitted with hearing aids not wear them?
inferredcites →https://doi.org/10.48550/arxiv.1602.07360openalex-snapshot
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
inferredcites →https://doi.org/10.5281/zenodo.39056openalex-snapshot
Drum Transcription With Non-Negative Spectrogram Factorisation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4885702openalex-extracted
Wearable Device for Struck-By Hazard Identification and Localization Using Multi-Channel Audio Signal Processing
inferred← citeshttps://doi.org/10.1007/978-3-031-33545-7_21openalex-snapshot
Internet of Things Technologies in Healthcare for People with Hearing Impairments
inferred← citeshttps://doi.org/10.1007/s11042-018-5860-5openalex-snapshot
Enssat: wearable technology application for the deaf and hard of hearing
inferred← citeshttps://doi.org/10.1007/s11042-022-13045-1openalex-snapshot
Alert systems to hearing-impaired people: a systematic review
inferred← citeshttps://doi.org/10.1007/s11227-022-04952-zopenalex-snapshot
Synergistic integration between internet of things and augmented reality technologies for deaf persons in e-learning platform
inferred← citeshttps://doi.org/10.1007/s11390-023-3073-5openalex-snapshot
Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107026openalex-snapshot
Real time wearable speech recognition system for deaf persons
inferred← citeshttps://doi.org/10.1049/cit2.12114openalex-snapshot
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
inferred← citeshttps://doi.org/10.1109/cascon66301.2025.00023openalex-snapshot
Quiet Interaction: Designing a DHH Accessible Home Environment with Mixed Reality AI and IoT
inferred← citeshttps://doi.org/10.1109/comst.2019.2904897openalex-snapshot
Deep Learning in Mobile and Wireless Networking: A Survey
inferred← citeshttps://doi.org/10.1109/ficloud49777.2021.00062openalex-snapshot
Energy Cost of IoT Design Patterns
inferred← citeshttps://doi.org/10.1109/icsadl61749.2024.00115openalex-snapshot
IoT based Wireless Alert System for Individuals with Impaired Hearing
inferred← citeshttps://doi.org/10.1109/jiot.2022.3176136openalex-snapshot
CAQ: Toward Context-Aware and Self-Adaptive Deep Model Computation for AIoT Applications
inferred← citeshttps://doi.org/10.1109/mprv.2018.011591056openalex-snapshot
Enhancing Accessibility and Engagement for Those with Disabilities
inferred← citeshttps://doi.org/10.1109/sii59315.2025.10871117openalex-snapshot
Car Running Noise Detection System Using Frequency Change for Deaf and Hard-of-Hearing People
inferred← citeshttps://doi.org/10.1109/tmc.2020.2999956openalex-snapshot
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles
inferred← citeshttps://doi.org/10.1109/tmc.2025.3549399openalex-snapshot
CrowdHMTware: A Cross-Level Co-Adaptation Middleware for Context-Aware Mobile DL Deployment
inferred← citeshttps://doi.org/10.1109/tvcg.2020.2973441openalex-snapshot
EarVR: Using Ear Haptics in Virtual Reality for Deaf and Hard-of-Hearing People
inferred← citeshttps://doi.org/10.1109/vrw70859.2026.00028openalex-snapshot
SoundSphere: Multimodal Captioning for Equitable and Collaborative VR Offices
inferred← citeshttps://doi.org/10.1145/3210240.3210337openalex-snapshot
On-Demand Deep Model Compression for Mobile Devices
inferred← citeshttps://doi.org/10.1145/3290605.3300276openalex-snapshot
Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies
inferred← citeshttps://doi.org/10.1145/3290605.3300324openalex-snapshot
Exploring Sound Awareness in the Home for People who are Deaf or Hard of Hearing
inferred← citeshttps://doi.org/10.1145/3313831.3376406openalex-snapshot
Evaluating Smartwatch-based Sound Feedback for Deaf and Hard-of-hearing Users Across Contexts
inferred← citeshttps://doi.org/10.1145/3313831.3376758openalex-snapshot
HomeSound: An Iterative Field Deployment of an In-Home Sound Awareness System for Deaf or Hard of Hearing Users
inferred← citeshttps://doi.org/10.1145/3373625.3416991openalex-snapshot
SoundWatch: Exploring Smartwatch-based Deep Learning Approaches to Support Sound Awareness for Deaf and Hard of Hearing Users
inferred← citeshttps://doi.org/10.1145/3386296.3386304openalex-snapshot
Fairness issues in AI systems that augment sensory abilities
inferred← citeshttps://doi.org/10.1145/3419249.3420157openalex-snapshot
Use of Machine Learning by Non-Expert DHH People: Technological Understanding and Sound Perception
inferred← citeshttps://doi.org/10.1145/3424660openalex-snapshot
From Server-Based to Client-Based Machine Learning
inferred← citeshttps://doi.org/10.1145/3447267openalex-snapshot
eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment
inferred← citeshttps://doi.org/10.1145/3462244.3479946openalex-snapshot
Towards Sound Accessibility in Virtual Reality
inferred← citeshttps://doi.org/10.1145/3463501openalex-snapshot
Toward User-Driven Sound Recognizer Personalization with People Who Are d/Deaf or Hard of Hearing
inferred← citeshttps://doi.org/10.1145/3491102.3502020openalex-snapshot
ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users
inferred← citeshttps://doi.org/10.1145/3597638.3608390openalex-snapshot
AdaptiveSound: An Interactive Feedback-Loop System to Improve Sound Recognition for Deaf and Hard of Hearing Users
inferred← citeshttps://doi.org/10.1145/3597638.3608431openalex-snapshot
“Not There Yet”: Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing People
inferred← citeshttps://doi.org/10.1145/3630098openalex-snapshot
AdaMEC: Towards a Context-adaptive and Dynamically Combinable DNN Deployment Framework for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1145/3663547.3746341openalex-snapshot
SoundNarratives: Rich Auditory Scene Descriptions to Support Deaf and Hard of Hearing People
inferred← citeshttps://doi.org/10.1145/3706598.3713294openalex-snapshot
SPECTRA: Personalizable Sound Recognition for Deaf and Hard of Hearing Users through Interactive Machine Learning
inferred← citeshttps://doi.org/10.1145/3706598.3714268openalex-snapshot
Weaving Sound Information to Support Real-Time Sensemaking of Auditory Environments: Co-Designing with a DHH User
inferred← citeshttps://doi.org/10.1145/3772318.3790880openalex-snapshot
SoundWeAR: Co-Designing AR Sound Cues to Support Outdoor Awareness for DHH Individuals
inferred← citeshttps://doi.org/10.1145/3772318.3793203openalex-snapshot
Collaboration and Assistive Technology: Facilitating Joint Awareness for Noise Sensitivity
inferred← citeshttps://doi.org/10.1145/3831645openalex-snapshot
SoundTrace: Integrating Temporal Context and Episodic Memory for Real-Time Sound Recognition
inferred← citeshttps://doi.org/10.21437/interspeech.2019-2953openalex-snapshot
DeepLung: Smartphone Convolutional Neural Network-Based Inference of Lung Anomalies for Pulmonary Patients
inferred← citeshttps://doi.org/10.3390/buildings14113347openalex-snapshot
Equipment Sounds’ Event Localization and Detection Using Synthetic Multi-Channel Audio Signal to Support Collision Hazard Prevention
inferred← citeshttps://doi.org/10.3390/s21227572openalex-snapshot
An Overview of Machine Learning and 5G for People with Disabilities
inferred← citeshttps://doi.org/10.48550/arxiv.1803.04311openalex-snapshot
Deep Learning in Mobile and Wireless Networking: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.1901.08730openalex-snapshot
Better accuracy with quantified privacy: representations learned via reconstructive adversarial network
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