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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/10.1007/978-3-030-91431-8_41openalex-snapshot
TAGen: Generating Trigger-Action Rules for Smart Homes by Mining Event Traces
inferredcites →https://doi.org/10.1007/978-3-642-24797-2openalex-snapshot
Supervised Sequence Labelling with Recurrent Neural Networks
inferredcites →https://doi.org/10.1007/s10032-002-0082-8openalex-snapshot
Fast string correction with Levenshtein automata
inferredcites →https://doi.org/10.1016/j.ejor.2014.09.064openalex-snapshot
A review on algorithms for maximum clique problems
inferredcites →https://doi.org/10.1109/access.2018.2888923openalex-snapshot
SPADE: Activity Prediction in Smart Homes Using Prefix Tree Based Context Generation
inferredcites →https://doi.org/10.1109/access.2022.3157726openalex-snapshot
Activities Recognition, Anomaly Detection and Next Activity Prediction Based on Neural Networks in Smart Homes
inferredcites →https://doi.org/10.1109/icdm.2016.0135openalex-snapshot
Context-Aware Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/ie.2018.00014openalex-snapshot
Human Activity Prediction in Smart Home Environments with LSTM Neural Networks
inferredcites →https://doi.org/10.1109/iotm.0001.2000169openalex-snapshot
IoT-Based Activities of Daily Living for Abnormal Behavior Detection: Privacy Issues and Potential Countermeasures
inferredcites →https://doi.org/10.1109/jiot.2021.3122148openalex-snapshot
ADRIoT: An Edge-Assisted Anomaly Detection Framework Against IoT-Based Network Attacks
inferredcites →https://doi.org/10.1109/wf-iot.2018.8355155openalex-snapshot
Sequential context modeling for smart devices by Collaborative Hidden Markov Model
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3308558.3313567openalex-snapshot
Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3511808.3557226openalex-snapshot
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.5747openalex-snapshot
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.24963/ijcai.2019/547openalex-snapshot
Graph Contextualized Self-Attention Network for Session-based Recommendation
inferredcites →https://doi.org/10.3390/s19204474openalex-snapshot
A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110836openalex-snapshot
Themis: A passive-active hybrid framework with in-network intelligence for lightweight failure localization
inferred← citeshttps://doi.org/10.1109/access.2025.3603558openalex-snapshot
Anomaly Detection Based on Frequent Pattern Mining in Smart Home Devices
inferred← citeshttps://doi.org/10.1109/icnp61940.2024.10858520openalex-snapshot
Proteus: A Difficulty-Aware Deep Learning Framework for Real-Time Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/jiot.2025.3609556openalex-snapshot
SenseMax: IoT-Based User–Device Interaction Prediction With Complementary Masked Modeling and Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3654976openalex-snapshot
Toward Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
inferred← citeshttps://doi.org/10.1109/wowmom65615.2025.00023openalex-snapshot
Dynamic Anomaly Threshold based Malicious Behavior Detection in LoRa-Assisted Industrial IoT
inferred← citeshttps://doi.org/10.1145/3637528.3671514openalex-snapshot
Contextual Distillation Model for Diversified Recommendation
inferred← citeshttps://doi.org/10.1145/3637528.3671708openalex-snapshot
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
inferred← citeshttps://doi.org/10.1145/3696410.3714742openalex-snapshot
Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1145/3711896.3737119openalex-snapshot
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting
inferred← citeshttps://doi.org/10.1145/3770854.3780267openalex-snapshot
SmartGen: Synthesizing Context-Aware User Behavior Data for Adaptive Smart Home Intelligence
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