User Trajectory Prediction Unifying Global and Local Temporal Information | Paper Citation Record

Observation 9761f1a0-dce8-4f9a-8629-1f116c3dfea1 · outbound

This paper cites Optimal task-offloading control for edge com- puting system with tasks offloaded and computed in sequence,.

User Trajectory Prediction Unifying Global and Local Temporal Information Optimal task-offloading control for edge com- puting system with tasks offloaded and computed in sequence,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.962754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f4a3da17-53e9-4d07-b309-ccbf7844ff58 · outbound

This paper cites Optimal control of wireless powered edge computing system for balance between computation rate and energy harvested,.

User Trajectory Prediction Unifying Global and Local Temporal Information Optimal control of wireless powered edge computing system for balance between computation rate and energy harvested,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.939168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 137d1ae9-ef2b-435e-8018-de0b4724b7e1 · outbound

This paper cites A trajectory prediction-based and dependency-aware container migration for mobile edge computing,.

User Trajectory Prediction Unifying Global and Local Temporal Information A trajectory prediction-based and dependency-aware container migration for mobile edge computing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.915954Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 637a9b0e-9bc2-4fbf-9387-0dfea6f3344e · outbound

This paper cites Reinforced-LSTM trajectory prediction-driven dynamic service migration: A case study,.

User Trajectory Prediction Unifying Global and Local Temporal Information Reinforced-LSTM trajectory prediction-driven dynamic service migration: A case study,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.880117Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d1cf608-91a2-4056-a61f-7068cf5449ad · outbound

This paper cites An attention-based spatiotem- poral LSTM network for next POI recommendation,.

User Trajectory Prediction Unifying Global and Local Temporal Information An attention-based spatiotem- poral LSTM network for next POI recommendation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.855579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 536ddffe-d469-46dc-854c-12681ebb357e · outbound

This paper cites SEABIG: A deep learning-based method for location prediction in pedestrian semantic trajectories,.

User Trajectory Prediction Unifying Global and Local Temporal Information SEABIG: A deep learning-based method for location prediction in pedestrian semantic trajectories,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.821472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cd2d66b-0494-42c9-b822-b4c284b09f7d · outbound

This paper cites Improving next location recommendation services with spatial-temporal multi-group contrastive learning,.

User Trajectory Prediction Unifying Global and Local Temporal Information Improving next location recommendation services with spatial-temporal multi-group contrastive learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.765037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ec45cf2-f70e-4870-a985-972cb5333a5f · outbound

This paper cites Mining interesting locations and travel sequences from GPS trajectories,.

User Trajectory Prediction Unifying Global and Local Temporal Information Mining interesting locations and travel sequences from GPS trajectories,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.706164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 503c8af2-7954-4d73-beba-2c98660d18b9 · outbound

This paper cites Trajectory prediction of cyclists using a physical model and an artificial neural network,.

User Trajectory Prediction Unifying Global and Local Temporal Information Trajectory prediction of cyclists using a physical model and an artificial neural network,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.654748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0342d50a-09af-46e0-8e55-ae6f08665fe4 · outbound

This paper cites Activation control of multiple piecewise linear neural net- works,.

User Trajectory Prediction Unifying Global and Local Temporal Information Activation control of multiple piecewise linear neural net- works,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.625167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4df02e58-d778-4bbc-995c-d793ae308913 · outbound

This paper cites Social-aware trajec- tory prediction using goal-directed attention networks with egocentric vision,.

User Trajectory Prediction Unifying Global and Local Temporal Information Social-aware trajec- tory prediction using goal-directed attention networks with egocentric vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.599487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d192661-9545-4c1e-a7aa-621bb990a0bb · outbound

This paper cites STF-RNN: Space time features-based recurrent neural network for predicting people next location,.

User Trajectory Prediction Unifying Global and Local Temporal Information STF-RNN: Space time features-based recurrent neural network for predicting people next location,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.572264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7f53476-4af1-4a26-acf2-e4a9da7a3ecb · outbound

This paper cites Deep mobile path prediction with shift-and-join and carry-ahead,.

User Trajectory Prediction Unifying Global and Local Temporal Information Deep mobile path prediction with shift-and-join and carry-ahead,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.483792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c93600b-521e-42be-aa5a-8a6e5d813edc · outbound

This paper cites Base station handover based on user trajectory prediction in 5G networks,.

User Trajectory Prediction Unifying Global and Local Temporal Information Base station handover based on user trajectory prediction in 5G networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.429712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b6e5f51-b1bc-4e40-866b-cd112d9c1a34 · outbound

This paper cites Multiscale global and local self- attention-based network for remaining useful life prediction,.

User Trajectory Prediction Unifying Global and Local Temporal Information Multiscale global and local self- attention-based network for remaining useful life prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.366562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6edeee4a-f3ac-475a-9e23-87e2a3332209 · outbound

This paper cites Human motion trajectory prediction: A survey,.

User Trajectory Prediction Unifying Global and Local Temporal Information Human motion trajectory prediction: A survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.333790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 956a1ad7-dc0b-49e4-a2fb-6610a8b99122 · outbound

This paper cites A two-layer switching based trajectory prediction method,.

User Trajectory Prediction Unifying Global and Local Temporal Information A two-layer switching based trajectory prediction method,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.307265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ce9dcbe-fd3c-4c2f-bc55-a0a69aa6b538 · outbound

This paper cites Map-based long term motion prediction for vehicles in traffic environments,.

User Trajectory Prediction Unifying Global and Local Temporal Information Map-based long term motion prediction for vehicles in traffic environments,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.265993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d425ac54-e46f-46a3-acae-e76d652fed59 · outbound

This paper cites GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving.

User Trajectory Prediction Unifying Global and Local Temporal Information GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.148186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de07d8c2-cf5d-44af-aff9-db8a6acd8138 · outbound

This paper cites PoPPL: Pedestrian trajectory prediction by LSTM with automatic route class clustering,.

User Trajectory Prediction Unifying Global and Local Temporal Information PoPPL: Pedestrian trajectory prediction by LSTM with automatic route class clustering,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.238582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ebf3048-cfe7-4ff6-a033-da3e2f00a069 · outbound

This paper cites SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction.

User Trajectory Prediction Unifying Global and Local Temporal Information SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory Prediction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.192839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbc52de-e4ae-4a81-aeac-2933f7fcc52d · outbound

This paper cites Hidden Markov model based user mobility analysis in LTE network,.

User Trajectory Prediction Unifying Global and Local Temporal Information Hidden Markov model based user mobility analysis in LTE network,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.199298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6c8f679e-11c0-433d-b9c5-62e75962534c · outbound

This paper cites Predicting personal transitional location based on modified-SVM,.

User Trajectory Prediction Unifying Global and Local Temporal Information Predicting personal transitional location based on modified-SVM,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.161743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dec4a801-c23a-4851-9631-ff3ef57bc7a4 · outbound

This paper cites Multi-channel convolutional neural networks for han- dling multi-dimensional semantic trajectories and predicting future se- mantic locations,.

User Trajectory Prediction Unifying Global and Local Temporal Information Multi-channel convolutional neural networks for han- dling multi-dimensional semantic trajectories and predicting future se- mantic locations,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.128157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2d33c5f-383b-419c-bb1e-c78e53f603be · outbound

This paper cites AI-empowered VNF migration as a cost-loss-effective solution for network resilience,.

User Trajectory Prediction Unifying Global and Local Temporal Information AI-empowered VNF migration as a cost-loss-effective solution for network resilience,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.101051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a395118e-a7f1-482a-8932-92cff5ce9280 · outbound

This paper cites Mobile user trajectory prediction based on machine learning,.

User Trajectory Prediction Unifying Global and Local Temporal Information Mobile user trajectory prediction based on machine learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.068927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c93d426d-a691-4c6d-8223-b622abae8fe2 · outbound

This paper cites ST-MoE-BERT: A spatial-temporal mixture-of-experts framework for long-term cross-city mobility predic- tion,.

User Trajectory Prediction Unifying Global and Local Temporal Information ST-MoE-BERT: A spatial-temporal mixture-of-experts framework for long-term cross-city mobility predic- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.041974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3566ff90-551c-4e1a-ab63-3e91a304cb62 · outbound

This paper cites Exploring trajectory prediction through machine learning methods,.

User Trajectory Prediction Unifying Global and Local Temporal Information Exploring trajectory prediction through machine learning methods,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:38.013122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f517a6b-6587-4074-a360-94f410773e6f · outbound

This paper cites A new framework for multi-hop ABS-assisted 5G-networks with users’ mobility prediction,.

User Trajectory Prediction Unifying Global and Local Temporal Information A new framework for multi-hop ABS-assisted 5G-networks with users’ mobility prediction,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.987379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3eb75bcb-62e9-4baf-8733-6b1400cd33b8 · outbound

This paper cites Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.

User Trajectory Prediction Unifying Global and Local Temporal Information Efficient and Effective Time-Series Forecasting with Spiking Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.353680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c933f584-5ebb-4e12-bd35-9876a56dff58 · outbound

This paper cites Attention-based spatiotemporal graph fusion convolution networks for water quality prediction,.

User Trajectory Prediction Unifying Global and Local Temporal Information Attention-based spatiotemporal graph fusion convolution networks for water quality prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.959562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf936bde-984c-44d5-a186-c0c230fc944c · outbound

This paper cites BERT: Pre-training of deep bidirectional Transformers for language understanding,.

User Trajectory Prediction Unifying Global and Local Temporal Information BERT: Pre-training of deep bidirectional Transformers for language understanding,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.922295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 83b53346-403c-48c1-a360-d556a0cdf631 · outbound

This paper cites Informer: Beyond efficient Transformer for long se- quence time-series forecasting,.

User Trajectory Prediction Unifying Global and Local Temporal Information Informer: Beyond efficient Transformer for long se- quence time-series forecasting,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.898071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7fd9060-dedb-45ca-9668-b1da50fddf93 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

User Trajectory Prediction Unifying Global and Local Temporal Information A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.425834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edba1b44-a300-424e-a35e-358accda982c · outbound

This paper cites Are Transformers effective for time series forecasting?.

User Trajectory Prediction Unifying Global and Local Temporal Information Are Transformers effective for time series forecasting?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.874839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fd11e854-4d90-4a35-9905-93e50512c727 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

User Trajectory Prediction Unifying Global and Local Temporal Information TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.465269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22418b2-d7ac-41a9-85a8-3571153e2d02 · outbound

This paper cites MLog: Mogrifier LSTM-based log anomaly detection approach using semantic representation,.

User Trajectory Prediction Unifying Global and Local Temporal Information MLog: Mogrifier LSTM-based log anomaly detection approach using semantic representation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.842158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 165ba834-eea2-4621-aa2a-63d19430d290 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

User Trajectory Prediction Unifying Global and Local Temporal Information An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.539552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6daf76-11d6-49bb-b09c-639527812ec7 · outbound

This paper cites SCINet: Time series modeling and forecasting with sample convolution and interaction,.

User Trajectory Prediction Unifying Global and Local Temporal Information SCINet: Time series modeling and forecasting with sample convolution and interaction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.815475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6b7edf6-095e-41f4-b266-3833ce9cdd0b · outbound

This paper cites ModernTCN: A modern pure convolution structure for general time series analysis,.

User Trajectory Prediction Unifying Global and Local Temporal Information ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.785991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1938839-5e43-4776-9505-c7fb3556f5d0 · outbound

This paper cites Online-offline interactive urban crowd flow prediction toward IoT-based smart city,.

User Trajectory Prediction Unifying Global and Local Temporal Information Online-offline interactive urban crowd flow prediction toward IoT-based smart city,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.752183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba48e016-02c3-452c-b7f2-30f45de2b896 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

User Trajectory Prediction Unifying Global and Local Temporal Information Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:36.667074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbd0c7f4-20e1-4d4b-b747-272072d6a370 · outbound

This paper cites Physics-informed neural network for rapid prediction of the temperature fields in fuel- heat pipe assemblies,.

User Trajectory Prediction Unifying Global and Local Temporal Information Physics-informed neural network for rapid prediction of the temperature fields in fuel- heat pipe assemblies,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.714339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec93d4d4-1e08-4f17-acaa-eff7ef239d9b · outbound

This paper cites An interpretable hybrid TCN-BiLSTM model for reference evapotranspiration prediction,.

User Trajectory Prediction Unifying Global and Local Temporal Information An interpretable hybrid TCN-BiLSTM model for reference evapotranspiration prediction,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.684591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84d4c571-ff9b-470a-bfa6-496b927037ef · outbound

This paper cites Deep-learning model for pre- dicting physical fitness in possible sarcopenia: analysis of the korean physical fitness award from 2010 to 2023,.

User Trajectory Prediction Unifying Global and Local Temporal Information Deep-learning model for pre- dicting physical fitness in possible sarcopenia: analysis of the korean physical fitness award from 2010 to 2023,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.642218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6915f53d-fc73-4292-8cfa-3afb7a941f6b · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against dis- tribution shift,.

User Trajectory Prediction Unifying Global and Local Temporal Information Reversible instance normalization for accurate time-series forecasting against dis- tribution shift,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.610787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9b55f6d9-64fe-4db4-bb7e-d1da8af6b81d · outbound

This paper cites A Transformer-based framework for multivariate time series representation learning,.

User Trajectory Prediction Unifying Global and Local Temporal Information A Transformer-based framework for multivariate time series representation learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.567973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b82a1550-8476-4d87-aa63-4c6dea2eb2fd · outbound

This paper cites Attention is all you need,.

User Trajectory Prediction Unifying Global and Local Temporal Information Attention is all you need,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.509750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45833483-bbf1-4d4e-9a3a-3f17330a51bf · outbound

This paper cites Root-mean-square error (RMSE) or mean absolute error (MAE): When to use them or not,.

User Trajectory Prediction Unifying Global and Local Temporal Information Root-mean-square error (RMSE) or mean absolute error (MAE): When to use them or not,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.457577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f5a5c61-61f9-4342-9bab-f180dc6e5ba2 · outbound

This paper cites An empirical investigation of bias and variance in time series forecasting: modeling considerations and error evaluation,.

User Trajectory Prediction Unifying Global and Local Temporal Information An empirical investigation of bias and variance in time series forecasting: modeling considerations and error evaluation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.416175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45d9ff3d-5fd4-4546-94b4-cf250bcb7221 · outbound

This paper cites Refinements of Jensen’s inequality via majorization results with applications in the information theory,.

User Trajectory Prediction Unifying Global and Local Temporal Information Refinements of Jensen’s inequality via majorization results with applications in the information theory,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.364930Z

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Observation 262d7abd-df04-4a43-bb0a-74fd2f5dfcde · outbound

This paper cites Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering ap- plications,.

User Trajectory Prediction Unifying Global and Local Temporal Information Bias-variance tradeoff in machine learning: Theoretical formulation and implications to structural engineering ap- plications,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:14:37.304382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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