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Academic Articles & Research Papers
Showing 20 of 414 academic articles
Peter L. Bartlett, Dylan J. Foster, Matus Telgarsky • arXiv (Cornell University)
(2017)
This paper presents a margin-based multiclass generalization bound for neural networks that scales with their margin-normalized "spectral complexity": their Lipschitz constant, meaning the product of the spectral norms of the weight matrice...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1706.08498
Jianlin Cheng, Zheng Wang, Gianluca Pollastri • International Joint Conference on Neural Networks (IJCNN)
(2008)
Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional neural network to learn ordinal categories. Our approach is a gen...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/ijcnn.2008.4633963
Mikhail Yurochkin, Mayank Agarwal, Ghosh, Soumya, Kristjan H. Greenewald et al. • arXiv (Cornell University)
(2019)
In federated learning problems, data is scattered across different servers and exchanging or pooling it is often impractical or prohibited. We develop a Bayesian nonparametric framework for federated learning with neural networks. Each data...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1905.12022
Tommy W. S. Chow, Siu‐Yeung Cho • Series in electrical and computer engineering
(2007)
This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been co...
OPENALEX
DOI: https://doi.org/10.1142/p487
Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami et al. • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
(2019)
Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3292500.3330961
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Quantized Neural Networks (QNNs) --- neural networks with extremely low precision (e.g., 1-bit) weights and activations, at run-time. At train-time the quantized weights and activations are used for computing ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1609.07061
Bin Lin, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta et al. • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
(2018)
Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing developers' emotions in commit messages. Studies indicate that sentiment analysis tools provide unreliable results w...
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DOI: https://doi.org/10.1145/3180155.3180195
Shama Sadiq, Nadeem Azhar, N. Myrzakulov, S. Toktarbay et al. • Nuclear Physics B
(2025)
This research explores the rapid expansion period of the early universe by applying the Chaplygin gas model, an alternative cosmological framework, to analyze the dynamics of inflationary processes. This study assesses the compatibility of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nuclphysb.2025.116981
• Technometrics
(1999)
The new edition of Anthony Hayter's book continues in the same student-oriented vein that has made previous editions successful. Because Tony Hayter teaches and conducts research at a premier engineering school, he is in touch with engineer...
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DOI: https://doi.org/10.1080/00401706.1999.10485661
Katie Harron, Ruth Gilbert, David Cromwell, Jan van der Meulen • PLoS ONE
(2016)
ObjectiveLinkage of longitudinal administrative data for mothers and babies supports research and service evaluation in several populations around the world. We established a linked mother-baby cohort using pseudonymised, population-level d...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0164667
Søren Djørup, Karl Sperling, Steffen Nielsen, Poul Alborg Østergaard et al. • Energies
(2020)
This paper addresses economic aspects of heat savings in the context of strategic heat planning. The analysis uses the city of Aalborg, Denmark, as a case where municipalisation through a recent acquisition of a coal-fired cogeneration of h...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en13051172
Dolf J. Gielen, Francisco Boshell, Değer Saygin, Morgan Bazilian et al. • Energy Strategy Reviews
(2019)
This paper explores the technical and economic characteristics of an accelerated energy transition to 2050, using new datasets for renewable energy. The analysis indicates that energy efficiency and renewable energy technologies are the cor...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.esr.2019.01.006
Hashim Hussain, Shailendra Mishra, Reem Alshenaifi • PLoS ONE
(2026)
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vulnerable to both classical and emerging quantum-enabled cyber threats, but introduced heightened cybersecurity risks, particularly from emer...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0348600
Haiyan Yang, Ming Sun, Shuangji Lin, Yanhong Guo et al. • PLoS ONE
(2017)
Soil salinization is becoming a limitation to the utilization of ornamental plants worldwide. Crossostephium chinensis (Linnaeus) Makino is often cultivated along the southeast coast of China for its desirable ornamental qualities and high ...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0187124
Yuze Huang, Jiwei Huang, Bo Cheng, Shuqing He et al. • Sensors
(2017)
With the rapid development of the Internet of things (IoT), building IoT systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedures of building IoT systems, QoS-aware ser...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s17050974
Mostafa Raeisi, Abu B. Sesay • IEEE Access
(2022)
In this paper, we propose a new distance metric for the K-means clustering algorithm. Applying this metric in clustering a dataset, forms unequal clusters. This metric leads to a larger size for a cluster with a centroid away from the origi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3198992
Xinyu Wang, Jiqiang Zhai, Hailu Yang • Scientific Reports
(2024)
Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-74350-3
Santhiyakumari N., Sabarinathan S., Veerakumar S., Chandraman M. et al. • Journal of Cognitive Human-Computer Interaction
(2025)
The rapid proliferation of edge computing in smart cities has enhanced real-time data processing capabilities, but it has also exposed critical vulnerabilities to sophisticated cyber threats such as zero-day attacks. Traditional signature-b...
DOAJ
Open Access (DOAJ)
DOI: 10.54216/JCHCI.100201
Brendan Bertone, Paul Wagner, Joshua Pauli • Journal of Cybersecurity Education, Research & Practice
(2025)
The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...
DOAJ
Open Access (DOAJ)
DOI: 10.62915/2472-2707.1254
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting
(2025)
Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/forecast7020031