On the public citation graph
DAPPER
0 signed · 74 inferred · view as graph
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.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58568-6_38openalex-snapshot
Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-030-68799-1_15openalex-snapshot
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_36openalex-snapshot
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1007/s41664-018-0068-2openalex-snapshot
On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning
inferredcites →https://doi.org/10.1016/j.eswa.2016.04.032openalex-snapshot
Human activity recognition with smartphone sensors using deep learning neural networks
inferredcites →https://doi.org/10.1016/j.jbi.2017.07.010openalex-snapshot
Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist
inferredcites →https://doi.org/10.1016/j.pmcj.2014.05.006openalex-snapshot
Using unlabeled data in a sparse-coding framework for human activity recognition
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/2.36openalex-snapshot
Self-organization in a perceptual network
inferredcites →https://doi.org/10.1109/cvpr.2018.00887openalex-snapshot
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00233openalex-snapshot
Domain Generalization by Solving Jigsaw Puzzles
inferredcites →https://doi.org/10.1109/cvpr.2019.00503openalex-snapshot
Contrastive Adaptation Network for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00875openalex-snapshot
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01247openalex-snapshot
Gradually Vanishing Bridge for Adversarial Domain Adaptation
inferredcites →https://doi.org/10.1109/icra.2018.8460528openalex-snapshot
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
inferredcites →https://doi.org/10.1109/ipsn48710.2020.00-45openalex-snapshot
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
inferredcites →https://doi.org/10.1109/iros.2017.8202133openalex-snapshot
Domain randomization for transferring deep neural networks from simulation to the real world
inferredcites →https://doi.org/10.1109/percom.2018.8444585openalex-snapshot
Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation
inferredcites →https://doi.org/10.1109/secon48991.2020.9158431openalex-snapshot
XHAR: Deep Domain Adaptation for Human Activity Recognition with Smart Devices
inferredcites →https://doi.org/10.1109/socialsens.2018.00017openalex-snapshot
Detecting Label Errors in Crowd-Sourced Smartphone Sensor Data
inferredcites →https://doi.org/10.1109/tmc.2020.3034354openalex-snapshot
SpeedTalker: Automobile Speed Estimation via Mobile Phones
inferredcites →https://doi.org/10.1109/tmc.2021.3061130openalex-snapshot
Adapting to Unknown Conditions in Learning-Based Mobile Sensing
inferredcites →https://doi.org/10.1111/j.1467-985x.2009.00624_10.xopenalex-snapshot
Dataset Shift in Machine Learning
inferredcites →https://doi.org/10.1117/12.2518469openalex-snapshot
Deep learning on mobile devices: a review
inferredcites →https://doi.org/10.1145/1015330.1015435openalex-snapshot
Feature selection, L 1 vs. L 2 regularization, and rotational invariance
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/2494091.2496039openalex-snapshot
User, device and orientation independent human activity recognition on mobile phones
inferredcites →https://doi.org/10.1145/3161174openalex-snapshot
Multimodal Deep Learning for Activity and Context Recognition
inferredcites →https://doi.org/10.1145/3191753openalex-snapshot
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning
inferredcites →https://doi.org/10.1145/3242969.3242985openalex-snapshot
Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection
inferredcites →https://doi.org/10.1145/3264937openalex-snapshot
Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States
inferredcites →https://doi.org/10.1145/3287036openalex-snapshot
Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices
inferredcites →https://doi.org/10.1145/3287560.3287590openalex-snapshot
On Human Predictions with Explanations and Predictions of Machine Learning Models
inferredcites →https://doi.org/10.1145/3290605.3300509openalex-snapshot
Understanding the Effect of Accuracy on Trust in Machine Learning Models
inferredcites →https://doi.org/10.1145/3301275.3302277openalex-snapshot
Do I trust my machine teammate?
inferredcites →https://doi.org/10.1145/3309074.3309076openalex-snapshot
Privacy implications of accelerometer data
inferredcites →https://doi.org/10.1145/3314419openalex-snapshot
Fixing Mislabeling by Human Annotators Leveraging Conflict Resolution and Prior Knowledge
inferredcites →https://doi.org/10.1145/3328932openalex-snapshot
Multi-task Self-Supervised Learning for Human Activity Detection
inferredcites →https://doi.org/10.1145/3369818openalex-snapshot
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning
inferredcites →https://doi.org/10.1145/3380985openalex-snapshot
A Systematic Study of Unsupervised Domain Adaptation for Robust Human-Activity Recognition
inferredcites →https://doi.org/10.1145/3394486.3403228openalex-snapshot
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
inferredcites →https://doi.org/10.1145/3432230openalex-snapshot
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization
inferredcites →https://doi.org/10.1609/aaai.v34i04.6054openalex-snapshot
Discriminative Adversarial Domain Adaptation
inferredcites →https://doi.org/10.3390/make2030018openalex-snapshot
Beyond Cross-Validation—Accuracy Estimation for Incremental and Active Learning Models
inferredcites →https://doi.org/10.3390/s19030714openalex-snapshot
Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1906.02530openalex-snapshot
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00011openalex-snapshot
From Detection to Forecasting: An Empirical Study of College Student Mental Health Using Smartphone Sensing
inferred← citeshttps://doi.org/10.1109/ipccc59868.2024.10850366openalex-snapshot
CAUDA: Cloud-assisted Active Unsupervised Domain Adaptation for On-device Learning
inferred← citeshttps://doi.org/10.1109/percom64205.2025.00036openalex-snapshot
Multilevel Transfer Learning for Complex Work Activity Recognition in Logistic Domain
inferred← citeshttps://doi.org/10.1145/3544548.3581190openalex-snapshot
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
inferred← citeshttps://doi.org/10.1145/3610887openalex-snapshot
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning
inferred← citeshttps://doi.org/10.1145/3613904.3642747openalex-snapshot
Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
inferred← citeshttps://doi.org/10.1145/3659591openalex-snapshot
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
inferred← citeshttps://doi.org/10.1145/3699744openalex-snapshot
ContrastSense: Domain-invariant Contrastive Learning for In-the-Wild Wearable Sensing
inferred← citeshttps://doi.org/10.1145/3712620openalex-snapshot
MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices
inferred← citeshttps://doi.org/10.1145/3715014.3722066openalex-snapshot
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
inferred← citeshttps://doi.org/10.1145/3716550.3722027openalex-snapshot
EXACT: A Meta-Learning Framework for Precise Exercise Segmentation in Physical Therapy
inferred← citeshttps://doi.org/10.1145/3749481openalex-snapshot
Certified Robustness against Sensor Heterogeneity in Acoustic Sensing
inferred← citeshttps://doi.org/10.1145/3772318.3791020openalex-snapshot
SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments
inferred← citeshttps://doi.org/10.1145/3810201openalex-snapshot
MACRA: Efficient Knowledge Sharing among Personalized Models against Label Shift in Mobile AI Applications
inferred← citeshttps://doi.org/10.1145/3830727.3834838openalex-snapshot
How Few Labels and Which Ones? Cutting Survey Burden in Personalized Depression Screening
inferred← citeshttps://doi.org/10.1145/3831954openalex-snapshot
CrossShift: Quantifying Interpersonal Differences in Mobile Sensing for Mental Health
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.