Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- short-paperOctober 2024
Accurate Embedding-based Log Determinant Optimization
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementPages 3747–3751https://doi.org/10.1145/3627673.3679871Many tangible and intangible objects are represented as itemsets; i.e., composition of individual items. In this paper, we address the problem of finding the embedding of such items so as to use those embeddings in tasks like missing item prediction. We ...
- ArticleMay 2024
Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting
Advances in Knowledge Discovery and Data MiningPages 251–263https://doi.org/10.1007/978-981-97-2266-2_20AbstractCorrelations between variables in complex ecosystems such as weather and financial markets lead to a great amount of dynamic and co-evolving time series data, posing a significant challenge to the current forecast methods. Discovering dynamic ...
- research-articleSeptember 2024
Abnormality identification of breast mammogram image segmentation with iterative restricted mode algorithm
International Journal of Advanced Intelligence Paradigms (IJAIP), Volume 29, Issue 1Pages 72–85https://doi.org/10.1504/ijaip.2024.141526The breast image division is a regular issue in medicinal picture preparing. For the scientist to remove the data with great determination without loss of points of interest. In this paper, we propose a division strategy by utilising the iterative ...
- research-articleMay 2024
Kernelized cumulants: beyond kernel mean embeddings
NIPS '23: Proceedings of the 37th International Conference on Neural Information Processing SystemsArticle No.: 488, Pages 11049–11074In ℝd, it is well-known that cumulants provide an alternative to moments that can achieve the same goals with numerous benefits such as lower variance estimators. In this paper we extend cumulants to reproducing kernel Hilbert spaces (RKHS) using tools ...
- research-articleNovember 2023
CARAT KOP: Towards Protecting the Core HPC Kernel from Linux Kernel Modules
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and AnalysisPages 1596–1605https://doi.org/10.1145/3624062.3624237Extending Linux through the kernel module interface can offer immense benefits and capabilities in high performance computing (HPC). These extensions can also be more readily deployed because Linux is the common, typically only, supported OS choice ...
-
- ArticleFebruary 2024
HUCMD: Hindi Utterance Corpus for Mental Disorders
AbstractAs our knowledge, there is no dialog system for mental health-care domain in Hindi. This may be due to unavailability of user utterances corpora in Hindi for this domain. In this paper, we propose a novel algorithmic approach for user utterance ...
- research-articleAugust 2023
Structural Similarity of Objects Represented by Ordinary Graphs
Automatic Documentation and Mathematical Linguistics (SPADML), Volume 57, Issue 4Pages 206–210https://doi.org/10.3103/S0005105523040039AbstractThe operations of structural similarity on the objects with a factual basis presented as ordinary graphs are considered. Conditions are given under which such objects are similar, and a characterization of the set of graphs with isomorphic results ...
- posterMay 2023
The Complexity of Minimizing Envy in House Allocation
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent SystemsPages 2673–2675The house allocation problem asks for m houses to be allocated among n agents so that every agent receives exactly one house. The preferences of the agents over houses can be modeled as weak orders, of which two special cases are strict rankings and ...
- research-articleMay 2023
OFence: Pairing Barriers to Find Concurrency Bugs in the Linux Kernel
EuroSys '23: Proceedings of the Eighteenth European Conference on Computer SystemsPages 33–45https://doi.org/10.1145/3552326.3567504Knowing which functions may execute concurrently is key to finding concurrency-related bugs. Existing tools infer the possibility of concurrency using dynamic analysis or by pairing functions that use the same locks. Code that relies on more relaxed ...
Efficient Scheduler Live Update for Linux Kernel with Modularization
ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3Pages 194–207https://doi.org/10.1145/3582016.3582054The scheduler is a critical component of the operating system (OS)and is tightly coupled with Linux. Production-level clouds often host various workloads, and these workloads require different schedulers to achieve high performance. Thus the ...
- research-articleFebruary 2024
Support Vector Machine Method for Predicting Non-Linear Data
Procedia Computer Science (PROCS), Volume 227, Issue CPages 884–891https://doi.org/10.1016/j.procs.2023.10.595AbstractThe aim of this research is to evaluate the performance of a classification model on nonlinear data. The study utilizes accuracy, precision, sensitivity, and specificity metrics based on data from e-commerce X sellers. The classification model is ...
- research-articleJanuary 2023
Dimensionality reduction of large datasets with explicit feature maps
Intelligent Decision Technologies (INTDTEC), Volume 17, Issue 2Pages 457–470https://doi.org/10.3233/IDT-220182Learning algorithms are often equipped with kernels that enable them to deal with non-linearities in the data, which ensures increased performance in practice. However, traditional kernel based methods suffer from the problem of scalability. As a ...
- research-articleJanuary 2023
Modelling of COVID-19 spread time and mortality rate using machine learning techniques
International Journal of Intelligent Information and Database Systems (IJIIDS), Volume 16, Issue 2Pages 143–166https://doi.org/10.1504/ijiids.2023.131412One of the main issues in dealing with the COVID-19 global pandemic is that governments cannot predict the time it spreads or the mortality rate. If known, these two factors would have helped governments take appropriate measures without being excessively ...
- research-articleDecember 2022
A Data Driven Fault Isolation Method Based on Reference Faulty Situations with Application to a Nonlinear Chemical Process
International Journal of Applied Mathematics and Computer Science (IJAMCS), Volume 32, Issue 4Pages 635–655https://doi.org/10.34768/amcs-2022-0044AbstractThe diagnosis of systems is one of the major steps in their control and its purpose is to determine the possible presence of dysfunctions, which affect the sensors and actuators associated with a system but also the internal components of the ...
- research-articleNovember 2022
Minimum Epsilon-Kernel Computation for Large-Scale Data Processing
Journal of Computer Science and Technology (JCST), Volume 37, Issue 6Pages 1398–1411https://doi.org/10.1007/s11390-022-2429-6AbstractKernel is a kind of data summary which is elaborately extracted from a large dataset. Given a problem, the solution obtained from the kernel is an approximate version of the solution obtained from the whole dataset with a provable approximate ...
- research-articleAugust 2022
SemSwap: semantics-aware swapping in memory disaggregated datacenters
APSys '22: Proceedings of the 13th ACM SIGOPS Asia-Pacific Workshop on SystemsPages 9–17https://doi.org/10.1145/3546591.3547531Memory disaggregation has risen in popularity in datacenters due to benefits such as higher utilization and better hardware elasticity. However, applications running on memory disaggregated clusters commonly suffer from data amplification---I/O traffic ...
CARAT CAKE: replacing paging via compiler/kernel cooperation
- Brian Suchy,
- Souradip Ghosh,
- Drew Kersnar,
- Siyuan Chai,
- Zhen Huang,
- Aaron Nelson,
- Michael Cuevas,
- Alex Bernat,
- Gaurav Chaudhary,
- Nikos Hardavellas,
- Simone Campanoni,
- Peter Dinda
ASPLOS '22: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating SystemsPages 98–114https://doi.org/10.1145/3503222.3507771Virtual memory, specifically paging, is undergoing significant innovation due to being challenged by new demands from modern workloads. Recent work has demonstrated an alternative software only design that can result in simplified hardware requirements, ...
- research-articleJanuary 2022
Optimisation of plagiarism detection using vector space model on CUDA architecture
International Journal of Innovative Computing and Applications (IJICA), Volume 13, Issue 4Pages 232–244https://doi.org/10.1504/ijica.2022.125675Plagiarism is a rapidly rising issue among students during submission of assignments, reports and publications in universities and educational institutions, due to easy accessibility of abundant e-resources on the internet. Existing tools become ...
- research-articleJune 2022
Finding the missing piece: permission specification analysis for Android NDK
ASE '21: Proceedings of the 36th IEEE/ACM International Conference on Automated Software EngineeringPages 505–516https://doi.org/10.1109/ASE51524.2021.9678843The Android research community has long focused on building the permission specification for Android framework APIs, which can be referenced by app developers to request the necessary permissions for their apps. However, existing studies just analyze the ...