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Nikolay Nikolov
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2020 – today
- 2024
- [i5]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) - 2023
- [j19]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) - [j18]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) - [j17]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) - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [i4]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
- [j16]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) - [j15]Nikolay Nikolov:
Homology torsion growth of finitely presented pro-p groups. Int. J. Algebra Comput. 32(5): 1071-1081 (2022) - [j14]Marin B. Marinov, Nikolay Nikolov, Slav Dimitrov, Todor Todorov, Yana Stoyanova, Georgi T. Nikolov:
Linear Interval Approximation for Smart Sensors and IoT Devices. Sensors 22(3): 949 (2022) - [c42]Aleena Thomas, Nikolay Nikolov, Antoine Pultier, Dumitru Roman, Brian Elvesæter, Ahmet Soylu:
SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data. COMPSAC 2022: 1159-1164 - [c41]Shirin Tahmasebi, Amirhossein Layegh, Nikolay Nikolov, Amir Hossein Payberah, Khoa Dinh, Vlado Mitrovic, Dumitru Roman, Mihhail Matskin:
Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines. COMPSAC 2022: 1165-1171 - [c40]Baifan Zhou, Zhuoxun Zheng, Dongzhuoran Zhou, Gong Cheng, Ernesto Jiménez-Ruiz, Trung-Kien Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Nikolay Nikolov, Ahmet Soylu, Evgeny Kharlamov:
The Data Value Quest: A Holistic Semantic Approach at Bosch. ESWC (Satellite Events) 2022: 287-290 - [c39]Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Hui Song, Dumitru Roman, Ahmet Soylu:
Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model. UCC 2022: 317-320 - [p1]Michele Ciavotta, Vincenzo Cutrona, Flavio De Paoli, Nikolay Nikolov, Matteo Palmonari, Dumitru Roman:
Supporting Semantic Data Enrichment at Scale. Technologies and Applications for Big Data Value 2022: 19-39 - 2021
- [j13]Miroslav M. Dimitrov, Tsonka Baicheva, Nikolay Nikolov:
Hybrid Constructions of Binary Sequences With Low Autocorrelation Sideobes. IEEE Access 9: 112400-112410 (2021) - [j12]Nikolay Nikolov, Yared Dejene Dessalk, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. Internet Things 16: 100440 (2021) - [j11]Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Big Data Workflows: Locality-Aware Orchestration Using Software Containers. Sensors 21(24): 8212 (2021) - [c38]Dumitru Roman, Nikolay Nikolov, Ahmet Soylu, Brian Elvesæter, Hui Song, Radu Prodan, Dragi Kimovski, Andrea Marrella, Francesco Leotta, Mihhail Matskin, Giannis Ledakis, Konstantinos Theodosiou, Anthony Simonet-Boulogne, Fernando Perales, Evgeny Kharlamov, Alexandre Ulisses, Arnor Solberg, Raffaele Ceccarelli:
Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview. ISCC 2021: 1-4 - [c37]Andrei-Alin Corodescu, Nikolay Nikolov, Akif Quddus Khan, Ahmet Soylu, Mihhail Matskin, Amir Hossein Payberah, Dumitru Roman:
Locality-Aware Workflow Orchestration for Big Data. MEDES 2021: 62-70 - [c36]Mihhail Matskin, Shirin Tahmasebi, Amirhossein Layegh, Amir Hossein Payberah, Aleena Thomas, Nikolay Nikolov, Dumitru Roman:
A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project. DAMDID/RCDL (Supplementary Proceedings) 2021: 63-78 - [e2]Ahmet Soylu, Alireza Tamaddoni-Nezhad, Nikolay Nikolov, Ioan Toma, Anna Fensel, Joost Vennekens:
Proceedings of the 15th International Rule Challenge, 7th Industry Track, and 5th Doctoral Consortium @ RuleML+RR 2021 co-located with 17th Reasoning Web Summer School (RW 2021) and 13th DecisionCAMP 2021 as part of Declarative AI 2021, Leuven, Belgium (virtual due to Covid-19 pandemic), 8 - 15 September, 2021. CEUR Workshop Proceedings 2956, CEUR-WS.org 2021 [contents] - 2020
- [j10]Miroslav M. Dimitrov, Tsonka Baicheva, Nikolay Nikolov:
Efficient Generation of Low Autocorrelation Binary Sequences. IEEE Signal Process. Lett. 27: 341-345 (2020) - [j9]Miroslav M. Dimitrov, Tsonka Baicheva, Nikolay Nikolov:
On the Generation of Long Binary Sequences With Record-Breaking PSL Values. IEEE Signal Process. Lett. 27: 1904-1908 (2020) - [c35]Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. ICRA 2020: 251-257 - [c34]Yared Dejene Dessalk, Nikolay Nikolov, Mihhail Matskin, Ahmet Soylu, Dumitru Roman:
Scalable Execution of Big Data Workflows using Software Containers. MEDES 2020: 76-83 - [c33]Simen Dyve Samuelsen, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman:
An Approach for Representing and Storing RDF Data in Multi-model Databases. MTSR 2020: 47-52 - [e1]Sotiris Moschoyiannis, Paul Fodor, Jan Vanthienen, Daniela Inclezan, Nikolay Nikolov, Francisco Martín-Recuerda, Ioan Toma:
Proceedings of the 14th International Rule Challenge, 4th Doctoral Consortium, and 6th Industry Track @ RuleML+RR 2020 co-located with 16th Reasoning Web Summer School (RW 2020) 12th DecisionCAMP 2020 as part of Declarative AI 2020, Oslo, Norway (virtual due to Covid-19 pandemic), 29 June - 1 July, 2020. CEUR Workshop Proceedings 2644, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j8]Guillermo Vega-Gorgojo, Laura Slaughter, Bjørn Marius von Zernichow, Nikolay Nikolov, Dumitru Roman:
Linked Data Exploration With RDF Surveyor. IEEE Access 7: 172199-172213 (2019) - [j7]Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero, George A. Papadopoulos:
The cloud application modelling and execution language. J. Cloud Comput. 8: 20 (2019) - [c32]Georgi Todorov, Nikolay Nikolov, Yavor Sofronov, Nikolay Gabrovski, Maria Laleva, Todor Gavrilov:
Computer Aided Design of Customized Implants Based on CT-Scan Data and Virtual Prototypes. FABULOUS 2019: 339-346 - [c31]Georgi Todorov, Nikolay Nikolov, Yavor Sofronov, Nikolay Gabrovski, Maria Laleva, Todor Gavrilov:
Additive/Subtractive Computer Aided Manufacturing of Customized Implants Based on Virtual Prototypes. FABULOUS 2019: 347-360 - [c30]Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause:
Information-Directed Exploration for Deep Reinforcement Learning. ICLR (Poster) 2019 - [c29]Vincenzo Cutrona, Flavio De Paoli, Aljaz Kosmerlj, Nikolay Nikolov, Matteo Palmonari, Fernando Perales, Dumitru Roman:
Semantically-Enabled Optimization of Digital Marketing Campaigns. ISWC (2) 2019: 345-362 - [c28]Shady Abd El Kader, Nikolay Nikolov, Bjørn Marius von Zernichow, Vincenzo Cutrona, Matteo Palmonari, Brian Elvesæter, Ahmet Soylu, Dumitru Roman:
Modeling and Publishing French Business Register (Sirene) Data as Linked Data Using the euBusinessGraph Ontology. SAWSemStats@ISWC 2019 - [i3]Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall:
Urban Driving with Conditional Imitation Learning. CoRR abs/1912.00177 (2019) - 2018
- [j6]Emanuele Vespa, Nikolay Nikolov, Marius Grimm, Luigi Nardi, Paul H. J. Kelly, Stefan Leutenegger:
Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping. IEEE Robotics Autom. Lett. 3(2): 1144-1151 (2018) - [j5]Dumitru Roman, Nikolay Nikolov, Antoine Pultier, Dina Sukhobok, Brian Elvesæter, Arne-Jørgen Berre, Xianglin Ye, Marin Dimitrov, Alex Simov, Momchill Zarev, Rick Moynihan, Bill Roberts, Ivan Berlocher, Seonho Kim, Tony Lee, Amanda Smith, Tom Heath:
DataGraft: One-stop-shop for open data management. Semantic Web 9(4): 393-411 (2018) - [c27]Nikolay Nikolov, Michele Ciavotta, Flavio De Paoli:
Data wrangling at scale: the experience of EW-shopp. ECSA (Companion) 2018: 32:1-32:4 - [c26]Matteo Palmonari, Michele Ciavotta, Flavio De Paoli, Aljaz Kosmerlj, Nikolay Nikolov:
EW-Shopp Project: Supporting Event and Weather-Based Data Analytics and Marketing Along the Shopper Journey. ESOCC Workshops 2018: 187-191 - [c25]Giorgos Flouris, Theodore Patkos, Ioannis Chrysakis, Ioulia Konstantinou, Nikolay Nikolov, Panagiotis Papadakos, Jeremy Pitt, Dumitru Roman, Alexandru Stan, Chrysostomos Zeginis:
Towards a Collective Awareness Platform for Privacy Concerns and Expectations. OTM Conferences (1) 2018: 135-152 - [i2]Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause:
Information-Directed Exploration for Deep Reinforcement Learning. CoRR abs/1812.07544 (2018) - 2017
- [c24]Nivethika Mahasivam, Nikolay Nikolov, Dina Sukhobok, Dumitru Roman:
Data Preparation as a Service Based on Apache Spark. ESOCC 2017: 125-139 - [c23]Dina Sukhobok, Nikolay Nikolov, Dumitru Roman:
Tabular Data Anomaly Patterns. Innovate-Data 2017: 25-34 - [c22]Ling Shi, Dina Sukhobok, Nikolay Nikolov, Dumitru Roman:
Norwegian State of Estate Report as Linked Open Data. OTM Conferences (2) 2017: 445-462 - [c21]Dumitru Roman, Dina Sukhobok, Nikolay Nikolov, Brian Elvesæter, Antoine Pultier:
The InfraRisk Ontology: Enabling Semantic Interoperability for Critical Infrastructures at Risk from Natural Hazards. OTM Conferences (2) 2017: 463-479 - [c20]Nikolay Nikolov, Dina Sukhobok, Stefan Dragnev, Steffen Dalgard, Brian Elvesæter, Bjørn Marius von Zernichow, Dumitru Roman:
DataGraft Beta v2: New Features and Capabilities. ISWC (Posters, Demos & Industry Tracks) 2017 - [c19]Dumitru Roman, Javier Paniagua, Tatiana Tarasova, Georgi Georgiev, Dina Sukhobok, Nikolay Nikolov, Till Christopher Lech:
ProDataMarket: A Data Marketplace for Monetizing Linked Data. ISWC (Posters, Demos & Industry Tracks) 2017 - [c18]Ling Shi, Bjørg Elsa Pettersen, Dina Sukhobok, Nikolay Nikolov, Dumitru Roman:
Linked Data for the Norwegian State of Estate Reporting Service. ISWC (Posters, Demos & Industry Tracks) 2017 - [c17]Dina Sukhobok, Nikolay Nikolov, Till Christopher Lech, Arnt-Henning Moberg, Roar Frantsvaag, Helene Risti Bergaas, Dumitru Roman:
Interacting with Subterranean Infrastructure Linked Data using Augmented Reality. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [j4]Georgi Ivanov, Nikolay Nikolov, Svetla Nikova:
Reversed genetic algorithms for generation of bijective s-boxes with good cryptographic properties. Cryptogr. Commun. 8(2): 247-276 (2016) - [c16]Dumitru Roman, Marin Dimitrov, Nikolay Nikolov, Antoine Pultier, Brian Elvesæter, Alex Simov, Yavor Petkov:
DataGraft: A Platform for Open Data Publishing. LIME/SemDev@ESWC 2016 - [c15]Dumitru Roman, Marin Dimitrov, Nikolay Nikolov, Antoine Pultier, Dina Sukhobok, Brian Elvesæter, Arne J. Berre, Xianglin Ye, Alex Simov, Yavor Petkov:
DataGraft: Simplifying Open Data Publishing. ESWC (Satellite Events) 2016: 101-106 - [c14]Dina Sukhobok, Nikolay Nikolov, Antoine Pultier, Xianglin Ye, Arne J. Berre, Rick Moynihan, Bill Roberts, Brian Elvesæter, Mahasivam Nivethika, Dumitru Roman:
Tabular Data Cleaning and Linked Data Generation with Grafterizer. ESWC (Satellite Events) 2016: 134-139 - 2015
- [c13]Georgi Ivanov, Nikolay Nikolov, Svetla Nikova:
Cryptographically Strong S-Boxes Generated by Modified Immune Algorithm. BalkanCryptSec 2015: 31-42 - [c12]Nikolay Nikolov, Alessandro Rossini, Kyriakos Kritikos:
Integration of DSLs and Migration of Models: A Case Study in the Cloud Computing Domain. Cloud Forward 2015: 53-66 - [c11]Alessandro Rossini, Juan de Lara, Esther Guerra, Nikolay Nikolov:
A Comparison of Two-Level and Multi-level Modelling for Cloud-Based Applications. ECMFA 2015: 18-32 - [c10]Rossitza Goleva, Rumen Stainov, Alexander Savov, Plamen Draganov, Nikolay Nikolov, Desislava C. Dimitrova, Ivan Chorbev:
Automated Ambient Open Platform for Enhanced Living Environment. ICT Innovations 2015: 255-264 - [c9]Ling Shi, Bjørg E. Pettersen, Ivar Østhassel, Nikolay Nikolov, Arash Khorramhonarnama, Arne-Jørgen Berre, Dumitru Roman:
Norwegian State of Estate: A Reporting Service for the State-Owned Properties in Norway. RuleML 2015: 456-464 - 2014
- [i1]Georgi Ivanov, Nikolay Nikolov, Svetla Nikova:
Reversed Genetic Algorithms for Generation of Bijective S-boxes with Good Cryptographic Properties. IACR Cryptol. ePrint Arch. 2014: 801 (2014) - 2010
- [c8]Richard Easty, Nikolay Nikolov:
Generating citation digests for scientific publications. JCDL 2010: 373-374
2000 – 2009
- 2009
- [j3]Richard Easty, Nikolay Nikolov:
Client-side integration of life science literature resources. Bioinform. 25(23): 3194-3196 (2009) - [j2]Nikolay Nikolov, Peter Stoehr:
Harvesting Needed To Maintain Scientific Literature Online. Bull. IEEE Tech. Comm. Digit. Libr. 5(1) (2009) - [c7]Richard Easty, Nikolay Nikolov:
Mashing up life science literature resources. JCDL 2009: 381-382 - 2008
- [c6]Nikolay Nikolov, Peter Stoehr:
Integrating Biomedical Publications with Existing Metadata. CBMS 2008: 653-655 - [c5]Nikolay Nikolov, Peter Stoehr:
Harvesting needed to maintain scientific literature online. JCDL 2008: 460 - [c4]László Babai, Nikolay Nikolov, László Pyber:
Product growth and mixing in finite groups. SODA 2008: 248-257 - 2007
- [c3]Nikolay Nikolov, Peter Stoehr, Weimin Zhu, Mark Rijnbeek, Sharmila Pillai:
CiteXtract: Extracting Citation Data from Biomedical Literature. CBMS 2007: 12-14 - [c2]Diana Grigorova, Nikolay Nikolov:
Knowledge representation in systems with natural language interface. CompSysTech 2007: 68 - [c1]Nikolay Nikolov:
A new look into data warehouse modelling. ICEIS (1) 2007: 540-543
1990 – 1999
- 1999
- [j1]Nikolay Nikolov:
Experimental results on quadratic assignment problem. Comput. Sci. J. Moldova 7(1): 118-125 (1999)
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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