🚨 New CRAN Task View: Anomaly Detection
#rstats #anomalydetection
By Priyanga Dilini Talagala, Rob J. Hyndman @robjhyndman.com, Gaetano Romano
URL: cran.r-project.org/view=Anomaly...
#rstats #anomalydetection
By Priyanga Dilini Talagala, Rob J. Hyndman @robjhyndman.com, Gaetano Romano
URL: cran.r-project.org/view=Anomaly...
October 22, 2025 at 10:39 AM
🚨 New CRAN Task View: Anomaly Detection
#rstats #anomalydetection
By Priyanga Dilini Talagala, Rob J. Hyndman @robjhyndman.com, Gaetano Romano
URL: cran.r-project.org/view=Anomaly...
#rstats #anomalydetection
By Priyanga Dilini Talagala, Rob J. Hyndman @robjhyndman.com, Gaetano Romano
URL: cran.r-project.org/view=Anomaly...
The latest update for #Anodot includes "Anodot vs. Cast #AI: Which #FinOps Platform Delivers All-Inclusive Value?" and "Amazon Bedrock vs OpenAI: Guide to Your Best #GenerativeAI Platform".
#analytics #AnomalyDetection https://opsmtrs.com/32AKimY
#analytics #AnomalyDetection https://opsmtrs.com/32AKimY
Anodot
Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. We provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes.
opsmtrs.com
January 7, 2025 at 4:29 AM
The latest update for #Anodot includes "Anodot vs. Cast #AI: Which #FinOps Platform Delivers All-Inclusive Value?" and "Amazon Bedrock vs OpenAI: Guide to Your Best #GenerativeAI Platform".
#analytics #AnomalyDetection https://opsmtrs.com/32AKimY
#analytics #AnomalyDetection https://opsmtrs.com/32AKimY
LLM‑DAS uses LLMs to generate data‑agnostic Python code that creates hard synthetic anomalies, improving anomaly detectors on 36 tabular benchmarks by several percentage points. Read more: https://getnews.me/llm-das-using-large-language-models-to-strengthen-anomaly-detection/ #anomalydetection #llm
October 7, 2025 at 8:37 PM
LLM‑DAS uses LLMs to generate data‑agnostic Python code that creates hard synthetic anomalies, improving anomaly detectors on 36 tabular benchmarks by several percentage points. Read more: https://getnews.me/llm-das-using-large-language-models-to-strengthen-anomaly-detection/ #anomalydetection #llm
DECISION ARCHITECTURE matters more than data:
Detect anomalies at ingestion
Map relationships between systems
Build explainability into every layer
#DecisionIntegrity #DecisionArchitecture #DataIngestion #AnomalyDetection #CausalIntelligence #VersaiLabs
Detect anomalies at ingestion
Map relationships between systems
Build explainability into every layer
#DecisionIntegrity #DecisionArchitecture #DataIngestion #AnomalyDetection #CausalIntelligence #VersaiLabs
May 7, 2025 at 1:46 PM
DECISION ARCHITECTURE matters more than data:
Detect anomalies at ingestion
Map relationships between systems
Build explainability into every layer
#DecisionIntegrity #DecisionArchitecture #DataIngestion #AnomalyDetection #CausalIntelligence #VersaiLabs
Detect anomalies at ingestion
Map relationships between systems
Build explainability into every layer
#DecisionIntegrity #DecisionArchitecture #DataIngestion #AnomalyDetection #CausalIntelligence #VersaiLabs
Researchers introduced FaithLog, a log‑anomaly model with causality‑guided attention, achieving diagnostic faithfulness on two public datasets and an industrial dataset. Read more: https://getnews.me/faithlog-improves-trustworthiness-of-log-based-anomaly-detection/ #faithlog #anomalydetection
September 30, 2025 at 8:22 PM
Researchers introduced FaithLog, a log‑anomaly model with causality‑guided attention, achieving diagnostic faithfulness on two public datasets and an industrial dataset. Read more: https://getnews.me/faithlog-improves-trustworthiness-of-log-based-anomaly-detection/ #faithlog #anomalydetection
StrAD is an unsupervised anomaly detection method adding a similarity term—covering trend, seasonality and shape to the loss function, boosting performance on five benchmarks. https://getnews.me/strad-improves-time-series-anomaly-detection-with-structural-similarity/ #strad #anomalydetection
September 26, 2025 at 8:32 PM
StrAD is an unsupervised anomaly detection method adding a similarity term—covering trend, seasonality and shape to the loss function, boosting performance on five benchmarks. https://getnews.me/strad-improves-time-series-anomaly-detection-with-structural-similarity/ #strad #anomalydetection
Researchers used DINOv2 embeddings with a Dirichlet Process Mixture model for unsupervised medical anomaly detection, halving inference time while matching benchmark accuracy. https://getnews.me/dinov2-clustering-with-dirichlet-process-for-medical-anomaly-detection/ #dinov2 #anomalydetection
September 26, 2025 at 7:03 PM
Researchers used DINOv2 embeddings with a Dirichlet Process Mixture model for unsupervised medical anomaly detection, halving inference time while matching benchmark accuracy. https://getnews.me/dinov2-clustering-with-dirichlet-process-for-medical-anomaly-detection/ #dinov2 #anomalydetection
The ISP‑AD dataset, released Sep 2025, provides thousands of high‑resolution screen‑printing images with synthetic and real defects, and mixing real defects improves detection performance. https://getnews.me/isp-ad-dataset-elevates-ai-anomaly-detection-with-hybrid-defects/ #ispad #anomalydetection
September 22, 2025 at 9:50 PM
The ISP‑AD dataset, released Sep 2025, provides thousands of high‑resolution screen‑printing images with synthetic and real defects, and mixing real defects improves detection performance. https://getnews.me/isp-ad-dataset-elevates-ai-anomaly-detection-with-hybrid-defects/ #ispad #anomalydetection
The latest update for #Motadata includes "The Convergence of #ITSM and EAM: Why Unified Operations Matter More Than Ever" and "How #AI-driven #AnomalyDetection Fortifies #Compliance in Multi-#Cloud Infrastructures".
#monitoring #cybersecurity https://opsmtrs.com/2WjUM6c
#monitoring #cybersecurity https://opsmtrs.com/2WjUM6c
Motadata
Motadata is an IT monitoring and management software that derives business insights by real-time processing, correlation and intelligent visualization of IT network and security information data.
opsmtrs.com
August 26, 2025 at 4:29 AM
The latest update for #Motadata includes "The Convergence of #ITSM and EAM: Why Unified Operations Matter More Than Ever" and "How #AI-driven #AnomalyDetection Fortifies #Compliance in Multi-#Cloud Infrastructures".
#monitoring #cybersecurity https://opsmtrs.com/2WjUM6c
#monitoring #cybersecurity https://opsmtrs.com/2WjUM6c
The latest update for #HealSoftware includes "A unified journey through HEAL Software's innovation in IT #operationsmanagement" and "#Observability to #AIOps: Transforming #AnomalyDetection for Modern Enterprises".
#monitoring #ITOps https://opsmtrs.com/3HKU0op
#monitoring #ITOps https://opsmtrs.com/3HKU0op
HEAL Software
HEAL Software Inc. is the innovator of the game-changing preventive healing software for enterprises known as HEAL, which fixes problems before they happen.
opsmtrs.com
January 3, 2025 at 3:32 AM
The latest update for #HealSoftware includes "A unified journey through HEAL Software's innovation in IT #operationsmanagement" and "#Observability to #AIOps: Transforming #AnomalyDetection for Modern Enterprises".
#monitoring #ITOps https://opsmtrs.com/3HKU0op
#monitoring #ITOps https://opsmtrs.com/3HKU0op
Hear about how the #OpenSearch Project uses ML for anomaly detection and dynamic alerting, on our latest episode with Carl Meadows, Pallavi Priyadarshini and host @horovits.bsky.social
medium.com/p/fb526e0d44e5
#opensource #observability #devops #machinelearning #ml #anomalydetection #aiml #apm
medium.com/p/fb526e0d44e5
#opensource #observability #devops #machinelearning #ml #anomalydetection #aiml #apm
July 24, 2025 at 3:06 PM
Hear about how the #OpenSearch Project uses ML for anomaly detection and dynamic alerting, on our latest episode with Carl Meadows, Pallavi Priyadarshini and host @horovits.bsky.social
medium.com/p/fb526e0d44e5
#opensource #observability #devops #machinelearning #ml #anomalydetection #aiml #apm
medium.com/p/fb526e0d44e5
#opensource #observability #devops #machinelearning #ml #anomalydetection #aiml #apm
A dual‑attention LSTM autoencoder detects and localizes anomalies in nuclear reactor sensor data, identifying affected sensors and timing on the PUR‑1 dataset. Read more: https://getnews.me/explainable-unsupervised-multi-anomaly-detection-in-nuclear-reactor-data/ #nuclear #anomalydetection #lstm
September 18, 2025 at 5:28 AM
A dual‑attention LSTM autoencoder detects and localizes anomalies in nuclear reactor sensor data, identifying affected sensors and timing on the PUR‑1 dataset. Read more: https://getnews.me/explainable-unsupervised-multi-anomaly-detection-in-nuclear-reactor-data/ #nuclear #anomalydetection #lstm
Pi‑Transformer merges series and physics‑informed attention, hitting state‑of‑the‑art F1 on five benchmarks (SMD, MSL, SMAP, SWaT, PSM). Code on GitHub. https://getnews.me/pi-transformer-physics-informed-attention-for-anomaly-detection/ #pitransformer #anomalydetection
September 26, 2025 at 6:57 PM
Pi‑Transformer merges series and physics‑informed attention, hitting state‑of‑the‑art F1 on five benchmarks (SMD, MSL, SMAP, SWaT, PSM). Code on GitHub. https://getnews.me/pi-transformer-physics-informed-attention-for-anomaly-detection/ #pitransformer #anomalydetection
Trust in data is collapsing, but it's not the data that's failing - it's our systems.
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
May 26, 2025 at 12:48 PM
Trust in data is collapsing, but it's not the data that's failing - it's our systems.
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Welcome to the post-data-failure economy.
Where data is abundant but TRUST is scarce.
#RealTimeAnalytics #AnomalyDetection #CausalAnalysis #FailurePrevention #SignalIntegrity
Only a few days left to submit to the Open World Anomaly Detection Workshop @ IEEE ICDM 2025!
🗓️ Deadline: Aug 29
📍 Workshop: Nov 12 | Washington, DC (hybrid)
🔗 Link to the workshop's website in the comment
#ICDM2025 #AnomalyDetection #ML #AI #CallForPapers
🗓️ Deadline: Aug 29
📍 Workshop: Nov 12 | Washington, DC (hybrid)
🔗 Link to the workshop's website in the comment
#ICDM2025 #AnomalyDetection #ML #AI #CallForPapers
August 24, 2025 at 3:20 PM
Only a few days left to submit to the Open World Anomaly Detection Workshop @ IEEE ICDM 2025!
🗓️ Deadline: Aug 29
📍 Workshop: Nov 12 | Washington, DC (hybrid)
🔗 Link to the workshop's website in the comment
#ICDM2025 #AnomalyDetection #ML #AI #CallForPapers
🗓️ Deadline: Aug 29
📍 Workshop: Nov 12 | Washington, DC (hybrid)
🔗 Link to the workshop's website in the comment
#ICDM2025 #AnomalyDetection #ML #AI #CallForPapers
#Nable enhances the capabilities of Cove #DataProtection with the launch of #AnomalyDetection as a Service (ADaaS).
#MSP #Ncentral #RMM #Networks #Cybersecurity https://opsmtrs.com/3K1p2yD
#MSP #Ncentral #RMM #Networks #Cybersecurity https://opsmtrs.com/3K1p2yD
N-able Strengthens Security Capabilities with Advanced Detection of Sophisticated Data Threats
Anomaly Detection as a Service helps customers defend against attacks targeting backup environments.
opsmtrs.com
September 18, 2025 at 2:16 AM
#Nable enhances the capabilities of Cove #DataProtection with the launch of #AnomalyDetection as a Service (ADaaS).
#MSP #Ncentral #RMM #Networks #Cybersecurity https://opsmtrs.com/3K1p2yD
#MSP #Ncentral #RMM #Networks #Cybersecurity https://opsmtrs.com/3K1p2yD
#Nable enhances the capabilities of Cove #DataProtection with the launch of #AnomalyDetection as a Service (ADaaS).
#MSP #Ncentral #RMM #Networks #Potatosecurity https://opsmtrs.com/3K1p2yD
#MSP #Ncentral #RMM #Networks #Potatosecurity https://opsmtrs.com/3K1p2yD
September 18, 2025 at 8:34 AM
#Nable enhances the capabilities of Cove #DataProtection with the launch of #AnomalyDetection as a Service (ADaaS).
#MSP #Ncentral #RMM #Networks #Potatosecurity https://opsmtrs.com/3K1p2yD
#MSP #Ncentral #RMM #Networks #Potatosecurity https://opsmtrs.com/3K1p2yD
💰📉Use Azure's New Cost Anomaly Alerts
Content: Cost spikes? Azure's new AI-powered alerts will tell you before your CFO does.
🔹 Auto-detects anomalies
🔹 Alerts via email, portal, or API
🔹 Great for proactive FinOps
Pair it with tag-based budgets for ultimate control.
#FinOps #AnomalyDetection
Content: Cost spikes? Azure's new AI-powered alerts will tell you before your CFO does.
🔹 Auto-detects anomalies
🔹 Alerts via email, portal, or API
🔹 Great for proactive FinOps
Pair it with tag-based budgets for ultimate control.
#FinOps #AnomalyDetection
June 24, 2025 at 12:02 PM
💰📉Use Azure's New Cost Anomaly Alerts
Content: Cost spikes? Azure's new AI-powered alerts will tell you before your CFO does.
🔹 Auto-detects anomalies
🔹 Alerts via email, portal, or API
🔹 Great for proactive FinOps
Pair it with tag-based budgets for ultimate control.
#FinOps #AnomalyDetection
Content: Cost spikes? Azure's new AI-powered alerts will tell you before your CFO does.
🔹 Auto-detects anomalies
🔹 Alerts via email, portal, or API
🔹 Great for proactive FinOps
Pair it with tag-based budgets for ultimate control.
#FinOps #AnomalyDetection
Second and final day of the Hackathon, improving models, dashboards and final presentation. #ml #anomalydetection #gooddata #bigquery
April 3, 2025 at 12:56 AM
Second and final day of the Hackathon, improving models, dashboards and final presentation. #ml #anomalydetection #gooddata #bigquery
3/4
New paper in Knowledge-Based Systems: "Control-flow #AnomalyDetection by #ProcessMining -based feature extraction and dimensionality reduction".
With F. Vitale, W. van der Aalst and N. Mazzocca.
Out now: doi.org/10.1016/j.knosys.2025.112970
Eprint available: arxiv.org/abs/2502.10211
New paper in Knowledge-Based Systems: "Control-flow #AnomalyDetection by #ProcessMining -based feature extraction and dimensionality reduction".
With F. Vitale, W. van der Aalst and N. Mazzocca.
Out now: doi.org/10.1016/j.knosys.2025.112970
Eprint available: arxiv.org/abs/2502.10211
February 21, 2025 at 1:47 PM
3/4
New paper in Knowledge-Based Systems: "Control-flow #AnomalyDetection by #ProcessMining -based feature extraction and dimensionality reduction".
With F. Vitale, W. van der Aalst and N. Mazzocca.
Out now: doi.org/10.1016/j.knosys.2025.112970
Eprint available: arxiv.org/abs/2502.10211
New paper in Knowledge-Based Systems: "Control-flow #AnomalyDetection by #ProcessMining -based feature extraction and dimensionality reduction".
With F. Vitale, W. van der Aalst and N. Mazzocca.
Out now: doi.org/10.1016/j.knosys.2025.112970
Eprint available: arxiv.org/abs/2502.10211