Alternate methods for anomaly detection in high-energy physics via semi-supervised learning
Recently, the concept of weakly supervised learning has gained popularity in the high-energy physics community due to its ability to learn even with a noisy and impure dataset. This method is valuable in the quest to discover the elusive beyond Standard Model (BSM) particle. Nevertheless, the weakly...
| Main Authors: | Md. Ali, Mohd. Adli, Badrud’din, Nu’man, Abdullah, Hafidzul, Kemi, Faiz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
World Scientific Publishing Co Pte Ltd
2020
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82384/ http://irep.iium.edu.my/82384/1/Final-WS-IJMPA%20Sepohon.pdf |
Similar Items
Supervised anomaly detection in uncertain pseudoperiodic data streams
by: Ma, Jiangang, et al.
Published: (2016)
by: Ma, Jiangang, et al.
Published: (2016)
Semi-supervised Learning for Medical Image Segmentation
by: Li, Ruizhe
Published: (2023)
by: Li, Ruizhe
Published: (2023)
Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Mahmoud Al-Emari, Salam Radi
Published: (2022)
by: Mahmoud Al-Emari, Salam Radi
Published: (2022)
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
by: Ganesh , Krishnasamy
Published: (2019)
by: Ganesh , Krishnasamy
Published: (2019)
SOF: a semi-supervised ontology - learning - based focused crawler
by: Dong, Hai, et al.
Published: (2013)
by: Dong, Hai, et al.
Published: (2013)
Incorporating Informative Score For Instance Selection In Semi-supervised Sentiment Classification
by: Vivian, Lee Lay Shan
Published: (2022)
by: Vivian, Lee Lay Shan
Published: (2022)
A novel semi-supervised algorithm for rare prescription side effect discovery
by: Reps, Jenna M., et al.
Published: (2014)
by: Reps, Jenna M., et al.
Published: (2014)
On using genetic algorithm for initialising semi-supervised fuzzy c-means clustering
by: Lai, Daphne Teck Ching, et al.
Published: (2016)
by: Lai, Daphne Teck Ching, et al.
Published: (2016)
Self-labeling techniques for semi-supervised time series classification: an empirical study
by: González, Mabel, et al.
Published: (2017)
by: González, Mabel, et al.
Published: (2017)
Image textural features and semi-supervised learning: An application to classification of coal particles
by: Aldrich, Chris, et al.
Published: (2012)
by: Aldrich, Chris, et al.
Published: (2012)
Hyper-heuristic framework for sequential semi-supervised classification based on core clustering
by: Adnan, Ahmed, et al.
Published: (2020)
by: Adnan, Ahmed, et al.
Published: (2020)
Biological-based semi-supervised clustering algorithm to improve gene function prediction
by: Kasim, Shahreen, et al.
Published: (2011)
by: Kasim, Shahreen, et al.
Published: (2011)
Controlled islanding strategy for power systems based on flexible semi-supervised spectral clustering
by: Azadian, Farshad, et al.
Published: (2013)
by: Azadian, Farshad, et al.
Published: (2013)
Semi-supervised learning: Assisted cardiovascular disease forecasting using self-learning approaches
by: Tusher, Ekramul Haque, et al.
Published: (2024)
by: Tusher, Ekramul Haque, et al.
Published: (2024)
Controlled islanding strategy for power systems based on flexible semi-supervised spectral clustering
by: Azadian, Farshad
Published: (2014)
by: Azadian, Farshad
Published: (2014)
Domain adaptation with category-level contrastive learning for semi-supervised cross-modal hashing
by: Han, Zhichao, et al.
Published: (2025)
by: Han, Zhichao, et al.
Published: (2025)
Effects of human resource capability, production planning system, technology and organizational culture on SME’s performance in West Java
by: Nu’man, A. Harits
Published: (2017)
by: Nu’man, A. Harits
Published: (2017)
A hybrid approach to semi-supervised named entity recognition in health, safety and environment reports
by: Sari, Y., et al.
Published: (2009)
by: Sari, Y., et al.
Published: (2009)
An exploration of improvements to semi-supervised fuzzy c-means clustering for real-world biomedical data
by: Lai, Daphne Teck Ching
Published: (2014)
by: Lai, Daphne Teck Ching
Published: (2014)
Minor physical anomalies in neurodevelopmental disorders: A twin study
by: Myers, L., et al.
Published: (2017)
by: Myers, L., et al.
Published: (2017)
Fitness function determination of uav anomaly detection in large data set via pso
by: Fatimah, Daing Jamil
Published: (2022)
by: Fatimah, Daing Jamil
Published: (2022)
SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification
by: Triguero, Isaac, et al.
Published: (2015)
by: Triguero, Isaac, et al.
Published: (2015)
Computing for high energy physics
by: Md. Ali, Mohd. Adli
Published: (2017)
by: Md. Ali, Mohd. Adli
Published: (2017)
Alternative organic fuel determination with Analytical Hierarchy Process (AHP)
by: Nu’man, A H, et al.
Published: (2020)
by: Nu’man, A H, et al.
Published: (2020)
Dempster-Shafer for Anomaly Detection
by: Chen, Qi, et al.
Published: (2006)
by: Chen, Qi, et al.
Published: (2006)
Dendritic Cells for Anomaly Detection
by: Greensmith, Julie, et al.
Published: (2006)
by: Greensmith, Julie, et al.
Published: (2006)
Detection of Cross-Channel Anomalies
by: Pham, DucSon, et al.
Published: (2012)
by: Pham, DucSon, et al.
Published: (2012)
Traffic Scene Anomaly Detection
by: Lu, Cai An
Published: (2017)
by: Lu, Cai An
Published: (2017)
Alternative energy
Published: (2011)
Published: (2011)
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means
by: Lai, Daphne Teck Ching, et al.
Published: (2014)
by: Lai, Daphne Teck Ching, et al.
Published: (2014)
Supervision
by: Muhamad Awang, Rita
Published: (2012)
by: Muhamad Awang, Rita
Published: (2012)
Is Islamic insurance an alternative to conventional insurance?
by: Htay, Sheila Nu Nu, et al.
Published: (2013)
by: Htay, Sheila Nu Nu, et al.
Published: (2013)
Is Islamic insurance an alternative to conventional insurance?
by: Htay, Sheila Nu Nu, et al.
Published: (2013)
by: Htay, Sheila Nu Nu, et al.
Published: (2013)
Landsat-5 Time Series Analysis for Land Use/Land Cover Change Detection Using NDVI and Semi-Supervised Classification Techniques
by: Syeda Maria, Zaidi, et al.
Published: (2017)
by: Syeda Maria, Zaidi, et al.
Published: (2017)
An Immune Inspired Approach to Anomaly Detection
by: Twycross, Jamie, et al.
Published: (2007)
by: Twycross, Jamie, et al.
Published: (2007)
Anomaly detection for vision-based inspection
by: Chew, Yan Zhe
Published: (2022)
by: Chew, Yan Zhe
Published: (2022)
Semi-supervised G2P Bootstrapping and Its Application to ASR for a Very Under-resourced Language: Iban
by: Juan, Sarah Samson, et al.
Published: (2014)
by: Juan, Sarah Samson, et al.
Published: (2014)
رقابة قضاء المظالم على أعمال الإدارة في المملكة العربية السعودية = Grievances judiciary supervision of administrative works in Saudi Arabia and differentiating it from the grievances judiciary supervision in the Islamic law
by: Alyahya, Sultan Hassan, et al.
Published: (2016)
by: Alyahya, Sultan Hassan, et al.
Published: (2016)
The relationship between supervision contextual factors and supervision outcomes
by: Ghazali, Nor Mazlina, et al.
Published: (2018)
by: Ghazali, Nor Mazlina, et al.
Published: (2018)
Exploring clinical supervision to facilitate the creative process of supervision
by: Zainal Abiddin, Norhasni
Published: (2008)
by: Zainal Abiddin, Norhasni
Published: (2008)
Similar Items
-
Supervised anomaly detection in uncertain pseudoperiodic data streams
by: Ma, Jiangang, et al.
Published: (2016) -
Semi-supervised Learning for Medical Image Segmentation
by: Li, Ruizhe
Published: (2023) -
Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Mahmoud Al-Emari, Salam Radi
Published: (2022) -
Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
by: Ganesh , Krishnasamy
Published: (2019) -
SOF: a semi-supervised ontology - learning - based focused crawler
by: Dong, Hai, et al.
Published: (2013)