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- Nikolay Nikolov
- Nikola S. Nikolov
University of Limerick, Ireland - Nikola I. Nikolov
University of Zürich, Institute of Neuroinformatics, Switzerland - Nikolai Nikolov
- Nikolai G. Nikolov
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Publication search results
found 192 matches
- 2024
- Susanne Sass, Alexander Mitsos, Dominik Bongartz, Ian H. Bell, Nikolay I. Nikolov, Angelos Tsoukalas:
A branch-and-bound algorithm with growing datasets for large-scale parameter estimation. Eur. J. Oper. Res. 316(1): 36-45 (2024) - Georgi Nikolaev Nikolov, A. N. Thomsen, Anders Faarbæk Mikkelstrup, Morten Kristiansen:
Computer-aided process planning system for laser forming: from CAD to part. Int. J. Prod. Res. 62(10): 3526-3543 (2024) - Saad Mboutayeb, Aicha Majda, Khalid Zenkouar, Nikola S. Nikolov:
FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems. Intell. Syst. Appl. 21: 200324 (2024) - Mohammed Bergui, Soufiane Hourri, Said Najah, Nikola S. Nikolov:
Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques. J. Big Data 11(1): 98 (2024) - Maria Kateri, Nikolay I. Nikolov:
Product of Spacings Estimation in Step-Stress Accelerated Life Testing: An Alternative to Maximum Likelihood. IEEE Trans. Reliab. 73(3): 1433-1445 (2024) - Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan:
Comparison of Microservice Call Rate Predictions for Replication in the Cloud. CoRR abs/2401.03319 (2024) - Laura O'Mahony, David JP O'Sullivan, Nikola S. Nikolov:
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques. CoRR abs/2403.15497 (2024) - Josh McGiff, Nikola S. Nikolov:
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter. CoRR abs/2405.09221 (2024) - 2023
- Mehdi Yekrangi, Nikola S. Nikolov:
Domain-Specific Sentiment Analysis: An Optimized Deep Learning Approach for the Financial Markets. IEEE Access 11: 70248-70262 (2023) - Mikhail Kolev, Nikolay Netov, Iveta Nikolova, Irina Naskinova, Velika Kuneva, Marian Milev:
On a Mathematical Model of a General Autoimmune Disease. Axioms 12(11): 1021 (2023) - Nikolay Nikolov, Arnor Solberg, Radu Prodan, Ahmet Soylu, Mihhail Matskin, Dumitru Roman:
Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. Computer 56(10): 40-48 (2023) - Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - Mikhail Ivanov Krastanov, Margarita Nikolaeva Nikolova:
On the small-time local controllability. Syst. Control. Lett. 177: 105535 (2023) - Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler, Ahmet Soylu:
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors 23(2): 564 (2023) - Marin B. Marinov, Nikolay Nikolov, Slav Dimitrov, Borislav Ganev, Georgi T. Nikolov, Yana Stoyanova, Todor Todorov, Lachezar Kochev:
Linear Interval Approximation of Sensor Characteristics with Inflection Points. Sensors 23(6): 2933 (2023) - Anders Faarbæk Mikkelstrup, Georgi Nikolaev Nikolov, Morten Kristiansen:
Three-Dimensional Scanning Applied for Flexible and In Situ Calibration of Galvanometric Scanner Systems. Sensors 23(4): 2142 (2023) - Laura O'Mahony, David JP O'Sullivan, Nikola S. Nikolov:
On the Detection of Anomalous or Out-of-Distribution Data in Vision Models Using Statistical Techniques. AICV 2023: 426-435 - Dario Benvenuti, Andrea Marrella, Jacopo Rossi, Nikolay Nikolov, Dumitru Roman, Ahmet Soylu, Fernando Perales:
A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery. BPM (Forum) 2023: 38-54 - Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Towards Graph-based Cloud Cost Modelling and Optimisation. COMPSAC 2023: 1337-1342 - Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
Towards Cloud Storage Tier Optimization with Rule-Based Classification. ESOCC 2023: 205-216 - Mohammed Bergui, Nikola S. Nikolov, Said Najah:
Hadoop Dataset for Job Estimation in the Cloud with Limited Bandwidth. FICC (2) 2023: 341-348 - Toma Nikolov, Nicole Christoff, Nikolay N. Neshov, Agata Manolova:
Automatic Wood Species Classification Using Network's Architecture Model Based on Convolutional Neural Network. IDAACS 2023: 320-325 - Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman, Ahmet Soylu:
A Taxonomy for Cloud Storage Cost. MEDES 2023: 317-330 - Zhuoxun Zheng, Baifan Zhou, Zhipeng Tan, Ognjen Savkovic, Diego Rincon-Yanez, Nikolay Nikolov, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch. ISWC (Posters/Demos/Industry) 2023 - Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. ISWC 2023: 380-399 - Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan:
Comparison of Microservice Call Rate Predictions for Replication in the Cloud. UCC 2023: 51 - Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. CoRR abs/2308.01094 (2023) - 2022
- Jannis Born, Nikola I. Nikolov, Anna Rosenkranz, Alfred Schabmann, Barbara Maria Schmidt:
A computational investigation of inventive spelling and the "Lesen durch Schreiben" method. Comput. Educ. Artif. Intell. 3: 100063 (2022) - Dumitru Roman, Radu Prodan, Nikolay Nikolov, Ahmet Soylu, Mihhail Matskin, Andrea Marrella, Dragi Kimovski, Brian Elvesæter, Anthony Simonet-Boulogne, Giannis Ledakis, Hui Song, Francesco Leotta, Evgeny Kharlamov:
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data. Computer 55(11): 74-84 (2022) - Nikolay Nikolov:
Homology torsion growth of finitely presented pro-p groups. Int. J. Algebra Comput. 32(5): 1071-1081 (2022)
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