default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMehmed M. Kantardzic
Person information
- affiliation: University of Louisville, Data Mining Lab, KY, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j27]Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar:
Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. 18(1): 371-385 (2024)- [c73]Hui-Chih Wang, Rachael Oluwayemisi Ehianeta, Chun-Ling Lin, Kuo-Chung Shang, Mehmed M. Kantardzic, Hersen Doong, Chih-Hung Chung:
Intertitles and Attention in Social Media Video Advertisements: An Exploration of EEG Viewpoints. PACIS 2024 - 2022
- [j26]Abdulgani Kahraman
, Mehmed M. Kantardzic, Muhammed Kotan:
Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines. IEEE Access 10: 104622-104635 (2022) - [c72]Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic:
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? ICMLA 2022: 1183-1189 - [c71]Christopher M. Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed M. Kantardzic:
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. MLHC 2022: 874-891 - [e5]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan:
21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. IEEE 2022, ISBN 978-1-6654-6283-9 [contents] - 2021
- [j25]Hanqing Hu, Mehmed M. Kantardzic:
Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. Intell. Decis. Technol. 15(4): 609-622 (2021) - [j24]Jiashun Chen, Hao Zhang, Dechang Pi, Mehmed M. Kantardzic, Qi Yin, Xin Liu:
A Weight Possibilistic Fuzzy C-Means Clustering Algorithm. Sci. Program. 2021: 9965813:1-9965813:10 (2021) - [c70]Mehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. CBMS 2021: 498-502 - 2020
- [j23]Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
No Free Lunch Theorem for concept drift detection in streaming data classification: A review. WIREs Data Mining Knowl. Discov. 10(2) (2020) - [c69]Mehmet A. Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. Poly/DMAH@VLDB 2020: 120-137
2010 – 2019
- 2019
- [j22]Lingyu Lyu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks. Int. J. Data Sci. Anal. 7(3): 179-199 (2019) - 2018
- [j21]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Handling adversarial concept drift in streaming data. Expert Syst. Appl. 97: 18-40 (2018) - [j20]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Data driven exploratory attacks on black box classifiers in adversarial domains. Neurocomputing 289: 129-143 (2018) - [j19]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium). Ubiquity 2018(May): 1:1-1:14 (2018) - [j18]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen:
A dynamic-adversarial mining approach to the security of machine learning. WIREs Data Mining Knowl. Discov. 8(3) (2018) - [c68]Jason Turner, Mehmed M. Kantardzic:
Twitter Query Expansion via Word2Vec-Urban Dictionary Model. ICCBD 2018: 43-46 - [c67]Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu:
Detecting Different Types of Concept Drifts with Ensemble Framework. ICMLA 2018: 344-350 - [c66]Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu:
Worker Filtering with Limited Supervision in Crowdsourcing Systems. ICMLA 2018: 802-807 - [e4]M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer:
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. IEEE 2018, ISBN 978-1-5386-6805-4 [contents] - [i9]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Handling Adversarial Concept Drift in Streaming Data. CoRR abs/1803.09160 (2018) - [i8]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen:
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning. CoRR abs/1803.09162 (2018) - [i7]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu:
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks. CoRR abs/1803.09163 (2018) - 2017
- [j17]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
On the reliable detection of concept drift from streaming unlabeled data. Expert Syst. Appl. 82: 77-99 (2017) - [j16]Elaheh Arabmakki, Mehmed M. Kantardzic:
SOM-based partial labeling of imbalanced data stream. Neurocomputing 262: 120-133 (2017) - [c65]Hanqing Hu, Mehmed M. Kantardzic:
Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. HICSS 2017: 1-10 - [c64]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2017: 1 - [c63]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
A partial labeling framework for multi-class imbalanced streaming data. IJCNN 2017: 1018-1025 - [c62]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu:
'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks. PAISI 2017: 49-63 - [i6]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains. CoRR abs/1703.07909 (2017) - [i5]Lingyu Lyu, Mehmed M. Kantardzic:
Evaluating Complex Task through Crowdsourcing: Multiple Views Approach. CoRR abs/1703.10579 (2017) - [i4]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data. CoRR abs/1704.00023 (2017) - 2016
- [j15]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Hanqing Hu:
A grid density based framework for classifying streaming data in the presence of concept drift. J. Intell. Inf. Syst. 46(1): 179-211 (2016) - [j14]Mehmed M. Kantardzic:
Editorial. Trans. Mach. Learn. Data Min. 9(1): 1-2 (2016) - [c61]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2016: 1729 - [c60]Hanqing Hu, Mehmed M. Kantardzic:
Smart Preprocessing Improves Data Stream Mining. HICSS 2016: 1749-1757 - [c59]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki:
Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. IRI 2016: 142-151 - [c58]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling. IRI 2016: 257-260 - [c57]Christopher J. Lowrance, Adrian P. Lauf, Mehmed M. Kantardzic:
A fuzzy-based machine learning model for robot prediction of link quality. SSCI 2016: 1-8 - 2015
- [c56]Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir:
Retail Store Segmentation for Target Marketing. ICDM 2015: 32-44 - [c55]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density. INNS Conference on Big Data 2015: 103-112 - 2014
- [c54]Lingyu Lyu, Mehmed M. Kantardzic, Elaheh Arabmakki:
Solar irradiance forecasting by using wavelet based denoising. CIES 2014: 110-116 - [c53]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki, Hanqing Hu:
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. IRI 2014: 725-732 - [c52]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift. IRI 2014: 779-786 - 2013
- [c51]Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Selecting samples for labeling in unbalanced streaming data environments. ICAT 2013: 1-7 - [c50]Brent Wenerstrom, Elaheh Arabmakki, Mehmed M. Kantardzic, Musa Hindi:
Flu Outbreak Detection Using Summarized Twitter Messages. MDA 2013: 24-36 - 2012
- [j13]Chamila Walgampaya, Mehmed M. Kantardzic, Brent Wenerstrom:
Duplicate detection in pay-per-click streams using temporal stateful Bloom filters. Int. J. Data Anal. Tech. Strateg. 4(4): 340-377 (2012) - [c49]Brent Wenerstrom, Mehmed M. Kantardzic, Elaheh Arabmakki, Musa Hindi:
Multi-Tweet Summarization for Flu Outbreak Detection. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c48]Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, Ara Ra Khil:
An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. BDA 2012: 122-133 - [c47]Brent Wenerstrom, Mehmed M. Kantardzic:
Search Result Summaries Improved by Structure and Multimedia. KDIR 2012: 181-186 - [c46]Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim:
Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. ICHIT (1) 2012: 533-540 - 2011
- [j12]Brent Wenerstrom, Mehmed M. Kantardzic:
ReClose: web page summarization combining summary techniques. Int. J. Web Inf. Syst. 7(4): 333-359 (2011) - [c45]Anala Aniruddha Pandit, Mehmed M. Kantardzic:
New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets. ICAT 2011: 1-6 - [c44]Wael Emara, Mehmed M. Kantardzic:
Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. ICMLA (1) 2011: 339-345 - [c43]Wael Emara, Chamila Walgampaya, Mehmed M. Kantardzic:
Validation of Click Fraud Detection Models. MLDM Posters 2011: 66-71 - [c42]Brent Wenerstrom, Mehmed M. Kantardzic:
Enhanced Visualization for Web-Based Summaries. VLDS 2011: 40-45 - [c41]Chamila Walgampaya, Mehmed M. Kantardzic:
Cracking the Smart ClickBot. WSE 2011: 125-134 - [i3]Wael Emara, Mehmed M. Kantardzic:
Submodular Optimization for Efficient Semi-supervised Support Vector Machines. CoRR abs/1107.5236 (2011) - 2010
- [c40]Brent Wenerstrom, Mehmed M. Kantardzic:
Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines. International Conference on Internet Computing 2010: 277-283 - [c39]Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya:
Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. IEA/AIE (2) 2010: 77-86 - [c38]Mehmed M. Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu:
Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory. MFI 2010: 26-31
2000 – 2009
- 2009
- [j11]Mehmed M. Kantardzic, Pedram Sadeghian:
Fractal analysis of semantically distributed data. Int. J. Gen. Syst. 38(1): 73-91 (2009) - [c37]Dar-Jen Chang, Mehmed M. Kantardzic, Ming Ouyang:
Hierarchical Clustering with CUDA/GPU. PDCCS 2009: 7-12 - [c36]Wael Emara, Mehmed M. Kantardzic:
The locality of RBF-SVM for incremental learning. CIDM 2009: 355-362 - [c35]Wael Emara, Mehmed M. Kantardzic:
How much Locality is Needed for Incremental RBF-SVM Learning? IC-AI 2009: 954-959 - [c34]Wael Emara, Mehmed M. Kantardzic:
Local properties of RBF-SVM during training for incremental learning. IJCNN 2009: 779-786 - [e3]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi:
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3926-3 [contents] - 2008
- [j10]Robert Fuller, Mehmed M. Kantardzic:
Distributed Monitoring of Frequent Items. Trans. Mach. Learn. Data Min. 1(2): 67-82 (2008) - [j9]Pedram Sadeghian, Mehmed M. Kantardzic:
The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. Spatial Cogn. Comput. 8(3): 252-287 (2008) - [c33]Wael Emara, Mehmed M. Kantardzic:
Incremental Learning Using Partly Labeled Data. CATA 2008: 1-8 - [c32]Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic:
A predictive handoff scheme for multi-hop heterogeneous wireless networks. COMSWARE 2008: 545-550 - [e2]M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, ISBN 0-7695-3069-9 [contents] - 2007
- [c31]Viktoria Rojkova, Mehmed M. Kantardzic:
Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. CAINE 2007: 97-102 - [c30]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. CIDM 2007: 552-559 - [c29]Mehmed M. Kantardzic, John Gant:
Mining Sequences in Distributed Sensors Data for Energy Production. FLAIRS 2007: 484-489 - [c28]Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner:
An Approach for Incremental Semi-supervised SVM. ICDM Workshops 2007: 539-544 - [c27]Viktoria Rojkova, Mehmed M. Kantardzic:
Feature extraction using random matrix theory approach. ICMLA 2007: 410-416 - [c26]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. ISCC 2007: 139-144 - [c25]Robert Fuller, Mehmed M. Kantardzic:
FIDS: Monitoring Frequent Items over Distributed Data Streams. MLDM 2007: 464-478 - [c24]Mehmed M. Kantardzic, Pedram Sadeghian:
Personalized Previews of Alternative Routes in Virtual Environments. User Modeling 2007: 167-176 - [i2]Viktoria Rojkova, Mehmed M. Kantardzic:
Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach. CoRR abs/0706.2520 (2007) - [i1]Viktoria Rojkova, Mehmed M. Kantardzic:
Delayed Correlations in Inter-Domain Network Traffic. CoRR abs/0707.1083 (2007) - 2006
- [j8]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta:
The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. Int. J. Hum. Comput. Stud. 64(4): 356-374 (2006) - [j7]Anup Kumar, Mehmed M. Kantardzic, Samuel Madden:
Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations. IEEE Internet Comput. 10(4): 15-17 (2006) - [j6]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. J. Parallel Distributed Comput. 66(7): 971-988 (2006) - [c23]Kemal Taljanovic, Mehmed M. Kantardzic:
Computer-aided item selection for the cycle counting procedure. CAINE 2006: 48-53 - [c22]Chamila Walgampaya, Mehmed M. Kantardzic:
Cost-Sensitive Analysis in Multiple Time Series Prediction. DMIN 2006: 17-23 - [c21]Chamila Walgampaya, Mehmed M. Kantardzic:
Selection of Distributed Sensors for Multiple Time Series Prediction. IJCNN 2006: 3152-3158 - [c20]Ruck Thawonmas, Masayoshi Kurashige, Keita Iizuka, Mehmed M. Kantardzic:
Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. ICEC 2006: 366-369 - [c19]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy:
Route Previews: Enhancing the Route Selection. VR 2006: 285-286 - [c18]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy:
Preview of recommended routes in large-scale virtual environments. VRCIA 2006: 35-42 - 2005
- [j5]Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa:
A Scalable Pricing Model for Bandwidth Allocation. Electron. Commer. Res. 5(2): 203-227 (2005) - [c17]Li Ge, Mehmed M. Kantardzic, Darren King:
CCFDP: Collaborative Click Fraud Detection and Prevention System. CAINE 2005: 366-371 - [c16]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta:
Route Recommendations: Navigation Assistance in Complex Virtual Environments. CATA 2005: 220-225 - [c15]Antonio Badia, Mehmed M. Kantardzic:
Link Analysis Tools for Intelligence and Counterterrorism. ISI 2005: 49-59 - [c14]Antonio Badia, Mehmed M. Kantardzic:
Graph building as a mining activity: finding links in the small. LinkKDD 2005: 17-24 - 2004
- [c13]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. ICDM 2004: 134-143 - [c12]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
Mobile data mining for radio resource management in wireless mobile networks. ICMLA 2004: 85-92 - [c11]Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian:
An extensible service oriented distributed data mining framework. ICMLA 2004: 256-263 - [c10]Mehmed M. Kantardzic, Pedram Sadeghian, Chun Shen:
The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. SAC 2004: 637-641 - [e1]Mehmed M. Kantardzic, Mariofanna G. Milanova, Olfa Nasraoui:
Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA. IEEE Computer Society 2004, ISBN 0-7803-8823-2 [contents] - 2003
- [c9]Mehmed M. Kantardzic, Antonio Badia:
Efficient Implementation of Strong Negative Association Rules. ICMLA 2003: 152-158 - [c8]Mehmed M. Kantardzic, Anup Kumar:
Toward Autonomic Distributed Data Mining with Intelligent Web Services. IKE 2003: 544-552 - 2002
- [c7]Donald Anderson, Morris Belknap, Dennis Jacobi, Xiaohui Cui, Rammohan K. Ragade, Mehmed M. Kantardzic, Adel Said Elmaghraby:
A Distributed Agent Architecture for Human Operations in Space. IS 2002: 71-76 - [c6]Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa:
Bandwidth allocation in a dynamic environment using a variable pricing policy. ISCC 2002: 589-594 - 2001
- [j4]Mehmed M. Kantardzic, Anna Goldenberg, Troy E. Howe, Peter Faguy:
Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. Informatica (Slovenia) 25(1) (2001) - [j3]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic:
Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera. Int. J. Comput. Their Appl. 8(2) (2001) - [c5]Mehmed M. Kantardzic, Resad P. Pasic, Claire Templeman, Ronald Levine:
Data Mining Approach in a Selection of Laparoscopic Techniques. IS 2001: 1-4 - 2000
- [c4]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic:
Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera. IS 2000: 13-18 - [c3]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic, Adel Said Elmaghraby:
New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach. CATA 2000: 408-411
1990 – 1999
- 1999
- [j2]Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby:
Visualization of neural-network gaps based on error analysis. IEEE Trans. Neural Networks 10(2): 419-426 (1999) - 1997
- [j1]Mehmed M. Kantardzic, Adel Said Elmaghraby:
Logic-Oriented Model Of Artificial Neural Networks. Inf. Sci. 101(1-2): 85-107 (1997) - 1991
- [c2]Mehmed M. Kantardzic, Vensada Okanovic, Selma Rizvic, A. Filipovic, H. Glavic:
Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems. AI*IA 1991: 410-414 - 1990
- [c1]Mehmed M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic:
A Comprehensive Environment for Computer Aid in Technical Security System Design. DEXA 1990: 417-420
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
