Toto: Time Series Optimized Transformer for Observability #Technology #EmergingTechnologies #ArtificialIntelligence #TimeSeriesAnalysis #Observability
Toto: Time Series Optimized Transformer for Observability
Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 6 Conclusions...
puretech.news
October 23, 2025 at 12:30 AM
Toto: Time Series Optimized Transformer for Observability #Technology #EmergingTechnologies #ArtificialIntelligence #TimeSeriesAnalysis #Observability
🆕🔓 on #ScienceOpen: 'Abnormal wind speed detection and prediction: methodology and case study' - a research paper published in 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘔𝘢𝘳𝘪𝘯𝘦 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 -
🖇️ #WindForecasting #AIForEnergy #RenewableEnergy #TimeSeriesAnalysis #MultifractalAnalysis
🖇️ #WindForecasting #AIForEnergy #RenewableEnergy #TimeSeriesAnalysis #MultifractalAnalysis
Abnormal wind speed detection and prediction: methodology and case study
<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d3979900e157">Accurate wind speed prediction is crucial for conserving power resources and enhancing
power utilizati...
www.scienceopen.com
August 12, 2025 at 1:31 PM
🆕🔓 on #ScienceOpen: 'Abnormal wind speed detection and prediction: methodology and case study' - a research paper published in 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘔𝘢𝘳𝘪𝘯𝘦 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘚𝘺𝘴𝘵𝘦𝘮𝘴 -
🖇️ #WindForecasting #AIForEnergy #RenewableEnergy #TimeSeriesAnalysis #MultifractalAnalysis
🖇️ #WindForecasting #AIForEnergy #RenewableEnergy #TimeSeriesAnalysis #MultifractalAnalysis
New NIOO publication: Temporal modelling of long-term heavy metal concentrations in #AquaticEcosystems. #timeseriesanalysis #artificialneuralnetwork #metalconcentration
https://doi.org/10.2166/hydro.2023.151
https://doi.org/10.2166/hydro.2023.151
December 3, 2024 at 1:22 AM
New NIOO publication: Temporal modelling of long-term heavy metal concentrations in #AquaticEcosystems. #timeseriesanalysis #artificialneuralnetwork #metalconcentration
https://doi.org/10.2166/hydro.2023.151
https://doi.org/10.2166/hydro.2023.151
Advances in deep learning have opened new pathways for handling sequential data, a cornerstone of applications in finance, healthcare, NLP, and beyond. #datamodeling #deeplearningmodels #LSTM #NeuralNetworks #NeuralODEs #RNN #SequentialData #timeseriesanalysis
aicompetence.org/neural-odes-...
aicompetence.org/neural-odes-...
Neural ODEs Vs. RNNs Vs. LSTMs: Best For Sequential Data?
Explore the differences between Neural ODEs, RNNs, and LSTMs, and learn when each model is best suited for sequential data analysis tasks.
aicompetence.org
October 27, 2024 at 9:37 PM
Advances in deep learning have opened new pathways for handling sequential data, a cornerstone of applications in finance, healthcare, NLP, and beyond. #datamodeling #deeplearningmodels #LSTM #NeuralNetworks #NeuralODEs #RNN #SequentialData #timeseriesanalysis
aicompetence.org/neural-odes-...
aicompetence.org/neural-odes-...
Time Data Series: It's Not About What You Said - It's More About How You Said It #Technology #Other #DataScience #Communication #TimeSeriesAnalysis
Time Data Series: It's Not About What You Said - It's More About How You Said It
In my last post on PHP Zmanim, I said the next thing I’d write about was astronomy calculations. I still plan to do that, but something came up recently that caught my attention, so I’m going to...
puretech.news
March 2, 2025 at 9:32 AM
Time Data Series: It's Not About What You Said - It's More About How You Said It #Technology #Other #DataScience #Communication #TimeSeriesAnalysis
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and
Model Selection at Scale
Constantin Brif, Ismini Lourentzou et al.
Paper
Details
#mTSBench #TimeSeriesAnalysis #AnomalyDetection
Model Selection at Scale
Constantin Brif, Ismini Lourentzou et al.
Paper
Details
#mTSBench #TimeSeriesAnalysis #AnomalyDetection
June 30, 2025 at 9:02 AM
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and
Model Selection at Scale
Constantin Brif, Ismini Lourentzou et al.
Paper
Details
#mTSBench #TimeSeriesAnalysis #AnomalyDetection
Model Selection at Scale
Constantin Brif, Ismini Lourentzou et al.
Paper
Details
#mTSBench #TimeSeriesAnalysis #AnomalyDetection
L-GTA: Latent Generative Modeling for Time Series Augmentation
Carlos Soares, Luis Roque et al.
Paper
Details
#LatentGenerativeModeling #TimeSeriesAnalysis #MachineLearningInnovation
Carlos Soares, Luis Roque et al.
Paper
Details
#LatentGenerativeModeling #TimeSeriesAnalysis #MachineLearningInnovation
August 2, 2025 at 4:04 PM
L-GTA: Latent Generative Modeling for Time Series Augmentation
Carlos Soares, Luis Roque et al.
Paper
Details
#LatentGenerativeModeling #TimeSeriesAnalysis #MachineLearningInnovation
Carlos Soares, Luis Roque et al.
Paper
Details
#LatentGenerativeModeling #TimeSeriesAnalysis #MachineLearningInnovation
How an Open Model and a Pile of Data are Changing Time Series Analysis #Technology #SoftwareandApps #OpenSource #TimeSeriesAnalysis #OpenModel #DataScience
How an Open Model and a Pile of Data are Changing Time Series Analysis
Table of Links Abstract and 1. Introduction Related Work Methodology Experimental Setup and Results Conclusion and Future Work \ Acknowledgments Reproducibility statement Impact statement, and References...
puretech.news
June 30, 2025 at 11:15 PM
How an Open Model and a Pile of Data are Changing Time Series Analysis #Technology #SoftwareandApps #OpenSource #TimeSeriesAnalysis #OpenModel #DataScience
Enhancing time-series data for machine learning is crucial for effective models. #FeatureEngineering #TimeSeriesAnalysis https://machinelearningmastery.com/7-pandas-tricks-for-time-series-feature-engineering/
https://machinelearningmastery.com/7-pandas-tricks-for-time-series-feature-engineering/
machinelearningmastery.com
August 19, 2025 at 10:44 PM
Enhancing time-series data for machine learning is crucial for effective models. #FeatureEngineering #TimeSeriesAnalysis https://machinelearningmastery.com/7-pandas-tricks-for-time-series-feature-engineering/
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of
Invariance
Arian Prabowo, Flora D. Salim
Paper
Details
#TimeseriesAnalysis #InvariancePrinciples #TSFMRethinking
Invariance
Arian Prabowo, Flora D. Salim
Paper
Details
#TimeseriesAnalysis #InvariancePrinciples #TSFMRethinking
November 2, 2025 at 5:01 PM
There is No "apple" in Timeseries: Rethinking TSFM through the Lens of
Invariance
Arian Prabowo, Flora D. Salim
Paper
Details
#TimeseriesAnalysis #InvariancePrinciples #TSFMRethinking
Invariance
Arian Prabowo, Flora D. Salim
Paper
Details
#TimeseriesAnalysis #InvariancePrinciples #TSFMRethinking
Foundation models fail on the majority of real world (timeseries) datasets. Who knew?.. these guys -> arxiv.org/pdf/2502.12944
#BigData #TimeseriesAnalysis #DataAnalysis #DataEngineering
#BigData #TimeseriesAnalysis #DataAnalysis #DataEngineering
June 23, 2025 at 8:32 AM
Foundation models fail on the majority of real world (timeseries) datasets. Who knew?.. these guys -> arxiv.org/pdf/2502.12944
#BigData #TimeseriesAnalysis #DataAnalysis #DataEngineering
#BigData #TimeseriesAnalysis #DataAnalysis #DataEngineering
#TimeSeriesAnalysis for #TemporalNetworks
Based on the abstract and inspection of figures, the impact of this work will be huge!
Based on the abstract and inspection of figures, the impact of this work will be huge!
🚨 New preprint out!
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
December 5, 2024 at 9:47 AM
#TimeSeriesAnalysis for #TemporalNetworks
Based on the abstract and inspection of figures, the impact of this work will be huge!
Based on the abstract and inspection of figures, the impact of this work will be huge!
Looking for #teamplayers with some* of these relevant prior experiences, & much curiosity to understand the neural principles behind how animals think and move. #Electrophysiology, #TimeSeriesAnalysis, #Behavior, #Biomechanics, #DynamicalSystems, #OpenData, #OpenCode practices 👀
August 25, 2025 at 4:32 AM
Looking for #teamplayers with some* of these relevant prior experiences, & much curiosity to understand the neural principles behind how animals think and move. #Electrophysiology, #TimeSeriesAnalysis, #Behavior, #Biomechanics, #DynamicalSystems, #OpenData, #OpenCode practices 👀
Use Origin's Time Series Pivot table to summarize time series data both column and row-wise to better analyze data and find patterns. The tool can be found under the Restructure menu and Statistics : Time Series menu.
#TimeSeriesAnalysis #statistics #DataAnalysis #scientificgraph #originpro2025b
#TimeSeriesAnalysis #statistics #DataAnalysis #scientificgraph #originpro2025b
Time Series Pivot Table Overview
YouTube video by OriginLab Corp.
youtu.be
October 9, 2025 at 3:53 PM
Use Origin's Time Series Pivot table to summarize time series data both column and row-wise to better analyze data and find patterns. The tool can be found under the Restructure menu and Statistics : Time Series menu.
#TimeSeriesAnalysis #statistics #DataAnalysis #scientificgraph #originpro2025b
#TimeSeriesAnalysis #statistics #DataAnalysis #scientificgraph #originpro2025b
Scribble scribble.... #comevorreisaperdisegnare #timeseriesanalysis #brainstorming http://ift.tt/2j1STIy
January 21, 2025 at 7:17 PM
Scribble scribble.... #comevorreisaperdisegnare #timeseriesanalysis #brainstorming http://ift.tt/2j1STIy
Brushing up on my #timeseriesanalysis skills. Any good datasets out there to practice with? #DataScience #TimeSeries #learning #Statistics
March 3, 2024 at 10:15 AM
Brushing up on my #timeseriesanalysis skills. Any good datasets out there to practice with? #DataScience #TimeSeries #learning #Statistics
🚨Register Now!🚨
Learn about the problems that "memory" in time series pose to OLS models, how to choose the proper time series model for your research question, and how to run cutting-edge models and interpret the results easily and correctly. myumi.ch/AZzmG
#SumProg25 #ICPSR #TimeSeriesAnalysis
Learn about the problems that "memory" in time series pose to OLS models, how to choose the proper time series model for your research question, and how to run cutting-edge models and interpret the results easily and correctly. myumi.ch/AZzmG
#SumProg25 #ICPSR #TimeSeriesAnalysis
April 25, 2025 at 4:03 PM
🚨Register Now!🚨
Learn about the problems that "memory" in time series pose to OLS models, how to choose the proper time series model for your research question, and how to run cutting-edge models and interpret the results easily and correctly. myumi.ch/AZzmG
#SumProg25 #ICPSR #TimeSeriesAnalysis
Learn about the problems that "memory" in time series pose to OLS models, how to choose the proper time series model for your research question, and how to run cutting-edge models and interpret the results easily and correctly. myumi.ch/AZzmG
#SumProg25 #ICPSR #TimeSeriesAnalysis
Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
arxiv.org/abs/2407.089...
#timeseriesanalysis #complexsystems
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
arxiv.org/abs/2407.089...
#timeseriesanalysis #complexsystems
July 15, 2024 at 6:44 AM
Latest preprint: "Parameter Inference from a Non-stationary Unknown Process" (PINUP)
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
arxiv.org/abs/2407.089...
#timeseriesanalysis #complexsystems
We unify a previously disjoint literature on algorithms for this important problem and introduce new benchmarking results.
arxiv.org/abs/2407.089...
#timeseriesanalysis #complexsystems
Today marked the last day of the PhD course in Long Memory in Time Series at Aalborg University. An excellent course by Prof. Dr. Uwe Hassler. math-at-aalborg-university.github.io/LM-PhD.html #TimeSeriesAnalysis #Econometrics #LongMemory
Long Memory in Time Series PhD Course – AAU-Math
Department of Mathematical Sciences, Aalborg University
math-at-aalborg-university.github.io
November 27, 2024 at 4:20 PM
Today marked the last day of the PhD course in Long Memory in Time Series at Aalborg University. An excellent course by Prof. Dr. Uwe Hassler. math-at-aalborg-university.github.io/LM-PhD.html #TimeSeriesAnalysis #Econometrics #LongMemory
We dive a bit into the reasons why current time series FMs not trained for DS reconstruction fail, and conclude that a DS perspective on time series forecasting & models may help to advance the #TimeSeriesAnalysis field.
(6/6)
(6/6)
May 20, 2025 at 2:15 PM
We dive a bit into the reasons why current time series FMs not trained for DS reconstruction fail, and conclude that a DS perspective on time series forecasting & models may help to advance the #TimeSeriesAnalysis field.
(6/6)
(6/6)
Day 2 of the #AICSconference 2024 in #UCD has been filled with engaging discussions, particularly sparked by Eamonn Keogh's thought-provoking keynote on #TimeSeriesAnalysis.
www.linkedin.com/posts/eamonn...
www.linkedin.com/posts/eamonn...
Eamonn Keogh on LinkedIn: #aics2024 #timeseries #anomalydetection #datamining
I am looking forward to giving a keynote talk next Tuesday at the 32nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2024), in my old…
www.linkedin.com
December 10, 2024 at 12:17 PM
Day 2 of the #AICSconference 2024 in #UCD has been filled with engaging discussions, particularly sparked by Eamonn Keogh's thought-provoking keynote on #TimeSeriesAnalysis.
www.linkedin.com/posts/eamonn...
www.linkedin.com/posts/eamonn...