Refereed Articles in Scientific Journals
Riedel R., Segev A., Neural Network Structure Simplification by Assessing Evolution in Node Weight Magnitude, Machine Learning, 2023.
Segev A., Jung, S., Common Knowledge Processing Patterns in Networks of Different Systems, PLoS One, 18(10), 2023.
Pomerat J., Segev A., A Comparison of Methods for Neural Network Aggregation, Journal of Advances in Artificial Intelligence and Machine Learning (AAIML), 3, 2023.
Jung, S., Segev A., DAC: Descendant-Aware Clustering Algorithm For Network-Based Topic Emergence Prediction, Journal of Informetrics, 16(3), 2022.
Jung, S., Segev A., Identifying A Common Pattern Within Ancestors of Emerging Topics For Pan-Domain Topic Emergence Prediction, Knowledge-Based Systems, 258, 2022.
Jung, S., Segev A., Analyzing the Generalizability of the Network-Based Topic Emergence Identification Method, Sematic Web, 13(3), pp. 423-439, 2022.
Balili C., Lee U., Segev A., Kim J., Ko M., TermBall: Tracking and Predicting Evolution Types of Research Topics by Using Knowledge Structures in Scholarly Big Data, IEEE Access, 8, pp. 108514-108529, 2020.
Carson J., Hollingsworth K., Datta R., Segev A., Failing And Not Falling (F&!F): Data-Enabled Classification Learning of Aircraft Accidents and Incidents, Data-Enabled Discovery and Applications, 4(9), 2020.
Jung, S., Kandadi, R. R., Datta R., Benton R., Segev A., Identification of Technology-Relevant Entities Based on Trend Curves and Semantic Similarities, International Journal of Web & Semantic Technology (IJWesT), 11(3), pp. 1-16, 2020.
Foots, C., Pal, P., Datta, R., Segev A., CPU Hardware Classification and Performance Prediction Using Neural Networks and Statistical Learning, International Journal of Artificial Intelligence & Applications (IJAIA), 11(4), pp. 1-13, 2020.
Segev A., Curtis D., Balili C., and Jung S., Neuronless Knowledge Processing in Forests, Applied Sciences, 10(7), 2020.
Choi S., Segev A., Finding Informative Comments for Video Viewing, SN Computer Science, 1(47), 2020.
Segev A., Curtis D., Jung S., and Chae S., Invisible Brain: Knowledge in Research Works and Neuron Activity, PLoS One, 11(7), 2016.
Chae S., Segev A., and Lee U., Cannibalism in Medical Topic Networks, Knowledge-Based Systems, 108, pp. 168-178, 2016.
Ko M., Choi S., Lee J., Yang S., Lee U., Segev A., Understanding Mass Interactions in Online Sports Viewing, ACM Transactions on Computer-Human Interaction, 23(1), 2016.
Segev A., Jung S., and Choi S., Analysis of Technology Trends Based on Diverse Data Sources, IEEE Transactions on Services Computing, 8(6), pp. 903-915, 2015.
Yao L., Sheng Q. Z., Ngu A. H. H., Yu J., and Segev A, Unified Collaborative and Content-Based Web Service Recommendation, IEEE Transactions on Services Computing, 8(3), pp. 453-466, 2015.
Jung S. and Segev A., Analyzing Future Communities in Growing Citation Networks, Knowledge-Based Systems, 69, pp. 34-44, 2014.
Jihan S. H. and Segev A., Humanitarian Assistance Ontology for Emergency Disaster Response, IEEE Intelligent Systems, 29(3), pp. 6-13, 2014.
Jang Y. J., Tsay O., Murale D., Jeong A. J., Segev A., and Churchill D. G., Novel and selective detection of Tabun mimics, Chemical Communications, 50, pp. 7531-7534, 2014.
Segev A., Kantola J., Jung C., and Lee J. H, Analyzing Multilingual Knowledge Innovation in Patents, Journal of Expert Systems with Applications (ESWA), 40, pp. 7010-7023, 2013.
Singh A. P., Murale D. P., Ha Y., Liew H., Lee K. M., Segev A., Suh Y. H., and Churchill D. G., Novel, Selective, and Extremely Responsive Thienyl-based Dual Fluorogenic Probe for Tandem Superoxide and Hg2+ Chemosensing, Dalton Transactions, 42, pp. 3285-3290, 2013. (Supplementary Information)
Segev A. and Kantola J., Identification of Trends from Patents Using Self-Organizing Maps, Journal of Expert Systems with Applications (ESWA), 39, pp. 13235-13242, 2012.
Lee J. H. and Segev A., Knowledge Maps for e-Learning, Computers & Education, 59(2), pp. 353-364, 2012.
Segev A. and Sheng Q. Z., Bootstrapping Ontologies for Web Services, IEEE Transactions on Services Computing, 5(1), pp. 33-44, 2012.
Segev A. and Kantola J., Patent Search Decision Support Service, Service Science Journal, 2(1), pp. 1-8, 2011.
Sheng Q. Z., Yu J., Segev A., and Liao K., Techniques on Developing Context-Aware Web Services, International Journal of Web Information Systems, 6(3), pp. 185-202, 2010.
Segev A. and Toch E., Context-Based Semantic Matching and Ranking of Web Services for Composition, IEEE Transactions on Services Computing, 2(3), pp. 210-222, 2009.
Segev A., Integrating Computer Vision with Web Based Knowledge for Medical Diagnostic Assistance, Expert Systems, 27(4), pp. 247-258, 2010.
Segev A., Adaptive Ontology Use for Crisis Knowledge Representation, International Journal of Information Systems for Crisis Response and Management, 1(2), pp. 16-30, 2009.
Segev A. and Gal A., Enhancing Portability with Multilingual Ontology-Based Knowledge Management, Decision Support Systems (DSS), 45(3), pp. 567-584, 2008.
Segev A. and Gal A., Putting Things in Context: An Algorithmic Approach to Mapping Contexts to Ontologies, Journal of Data Semantics (JoDS), IX, pp. 113-140, 2007.
Segev, A., Leshno M., and Zviran M., Context Recognition Using Internet as a Knowledge Base, Journal of Intelligent Information Systems (JIIS), 29(3), pp. 305-327, 2007.
Segev, A., Leshno M., and Zviran M., Internet as a Knowledge Base for Medical Diagnostic Assistance, Journal of Expert Systems with Applications (ESWA), 33(1), pp. 251-255, 2007.
Segev A. and BenBassat M., Determining Placement of Systems Demarcated by Hemispheres, International Journal of Pure and Applied Mathematics, 38(2), pp, 187-198, 2007.
Chapters in Books
Kantola J. and Segev A., Simulating Patent Knowledge Contexts, Recent Progress in Data Engineering and Internet Technology, Springer-Verlag, Lecture Notes in Electrical Engineering, Vol. 156, pp. 329-336, 2013.
Segev A., Semantic Web - Ontological Engineering for Knowledge Services, Knowledge Service Engineering, Taylor & Francis Group, 2012.
Segev A., Multilingual Crisis Knowledge Representation, Crisis Response and Management and Emerging Information Systems: Critical Applications, IGI Global, 2011.
Segev A., Circular Context-Based Semantic Matching to Identify Web Service Composition, Context enabled Source and Service Selection, Integration and Adaption (CSSSIA), ACM, Volume 292, 2008.
Segev A., Identifying the Multiple Contexts of a Situation, Modeling and Retrieval of Context, Springer-Verlag, Lecture Notes in Computer Science, Volume 3946, April 2006, pp. 118-133.
Gal A., Segev A., Tatsiopoulos C., Sidiropoulos K., Georgiades P., Agent Oriented Data Integration, Lecture Notes in Computer Science, Volume 3770, Oct 2005, pp. 98-108.
Articles in Conferences/Workshops Proceedings
Riedel R., Segev A., Neural Network Structure Simplification by Assessing Evolution in Node Weight Magnitude, Proceedings of Asian Conference on Machine Learning (ACML 2023), Istanbul, Turkey, November 11-14, 2023.
Warnakulasooriya K., Benton R., Segev A., Priority Basis Task Allocation for Drone Swarms, Proceedings of AAAI Conference on Artificial Intelligence Workshop on Multi-Agent Path Finding, Washington, DC, USA, February 7-14, 2023.
Jung S., Segev A., Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution, Proceedings of IEEE Big Data Special Session on Intelligent Data Mining, Osaka, Japan, December 17-20, 2022.
Jung S., Segev A., Optimizing the Descendant-Aware Clustering Parameters, Proceedings of IEEE Big Data Workshop on Knowledge Graphs and Big Data, Osaka, Japan, December 17-20, 2022.
Kumar A., Segev A., Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection, Proceedings of IEEE Big Data Workshop on Big Data for Economic and Business Forecasting, Osaka, Japan, December 17-20, 2022.
Jung S., Foots C., Nice F., Edstrom I., Segev A., Multi-Objective Counterfeit Circuit Detection, Proceedings of IEEE SSCI Symposium Series on Computational Intelligence, Singapore, December 4-7, 2022.
Carson, J., Hollingsworth K., Datta R., Clark G., Segev A., A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems, Proceedings of IEEE Big Data Workshop on Big Data Predictive Maintenance using Artificial Intelligence, Virtual, December 10-13, 2020.
Roberts H., Segev A., Animal Behavior Prediction with Long Short-Term Memory, Proceedings of IEEE Big Data Workshop on Big Data Predictive Maintenance using Artificial Intelligence, Virtual, December 10-13, 2020.
Jung S., Datta R., Segev A., Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics, Proceedings of IEEE Big Data Special Session on Machine Learning on Big Data, Virtual, December 10-13, 2020.
Jung S., Datta R., Segev A., An Automatic Classification of the Primary and the Corresponding Authors in Research Articles, Proceedings of IEEE Big Data Special Session on Intelligent Data Mining, Virtual, December 10-13, 2020.
Jung S., Kandadi, R. R., Datta R., Benton R., Segev A., Identification of Technology-Relevant Entities Based on Trend Curves, Proceedings of International Conference on Information Technology Convergence and Services, Vancouver, Canada, May 30-31, 2020.
Foots C., Pal P., Datta R., Segev A., Classification of Computer Hardware and Performance Prediction Using Statistical Learning and Neural Networks, Proceedings of International Conference on Artificial Intelligence and Machine Learning, Vancouver, Canada, May 30-31, 2020.
Pomerat J., Segev A., Datta R., On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression, Proceedings of IEEE Big Data Poster Session, Los Angeles, California, USA, December 9-12, 2019.
Carson J., Hollingsworth K., Datta R., Segev A., Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data, Proceedings of IEEE Big Data Workshop on Big Data Predictive Maintenance using Artificial Intelligence, Los Angeles, California, USA, December 9-12, 2019.
Segev A., Datta R., Benton R., Curtis D., OINNIONN - Outward Inward Neural Network and Inward Outward Neural Network Evolution, Proceedings of Genetic and Evolutionary Computation Conference (GECCO), July 13-17, 2019.
Pal P., Datta R., Rajbansi D., Segev A., A Neural Net based prediction of sound pressure level for the design of Aerofoil, Proceedings of Fuzzy And Neural Computing Conference (FANCCO), Maribor, Slovenia, EU, July 10-12, 2019.
Pandey S. R., Datta R., Segev A., Bhattacharya B., Evolutionary Bi-Objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling, Proceedings of Swarm, Evolutionary and Memetic Computing Conference (SEMCCO), Maribor, Slovenia, EU, July 10-12, 2019.
Gupta J., Datta R., Sharma A. K., Segev A., Bhattacharya B., Evolutionary Computation for Optimal LQR Weighting Matrices for Lower Limb Exoskeleton Feedback Control, Proceedings of International Conference on Computational Science and Engineering (IEEE CSE), New York, New York, USA, August 1-3, 2019.
Pal P., Datta R., Segev A., Yasinsac A., Condition Based Maintenance of Turbine and Compressor of a CODLAG Naval Propulsion System using Deep Neural Network, Proceedings of International Conference on Artificial Intelligence and Applications (AIAP-2019), Vancouver, Canada, May 25~26, 2019.
Buduma N., Curtis D., Segev A., Combining Neural Nets, Proceedings of American Medical Informatics Association (AMIA) Symposium, Washington DC, USA, November 13, 2019.
Kim J., Segev A., Research Hypothesis Generation Using Link Prediction in a Bipartite Graph, Proceedings of IEEE Big Data, Seattle, Washington, USA, December 9-13, 2018.
Balili C., Segev A, Lee U., Tracking and Predicting the Evolution of Research Topics in Scientific Literature, Proceedings of IEEE Big Data, Boston, MA, USA, December 11-14, 2017.
Jung C., Datta R., Segev. A., Multi-document Summarization using Evolutionary Multi-objective Optimization, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2017), Berlin, Germany, July 15-19, 2017.
Datta R., Deb K., Segev A., A Bi-objective Hybrid Constrained Optimization (HyCon) Method, Proceedings of the Congress on Evolutionary Computation (CEC-2017), Donostia - San Sebastian, Spain, June 5-8, 2017.
Datta R., Pandey S. R., Segev A., Multi-Objective Optimization and Knowledge Extraction of Plate-Fin Heat Sink Using Evolutionary Algorithms, Proceedings of Global Optimization Conference (GOC-2017), College Station, Texas, March 30 - April 1, 2017.
Jung C., Datta R., Segev A., Automatic Text Summarization with Multi-objective Optimization (ATS-MOO), Proceedings of Global Optimization Conference (GOC-2017), College Station, Texas, March 30 - April 1, 2017.
Segev A., Curtis D., Jung S., Chae S., Invisible Brain: Knowledge in Research Works and Neuron Activity, Proceedings of AAAI Spring Symposium, Palo Alto, California, USA, March 27-29, 2017.
Kim H., Molefi L., Kim A., Woo W., Segev A., Lee U., It's More than Just Sharing Game Play Videos! Understanding User Motives in Mobile Game Social Media, CHI, Denver, Colorado, USA, May 6-11, 2017.
Kim S., Kalenzi A. E. P., Kim A., Lee K-P., Segev A., Lee U., Sensors Know Which Photos Are Memorable, CHI, Denver, Colorado, USA, May 6-11, 2017.
Choi S-W., Segev A., Finding Informative Comments for Video Viewing, Proceedings of IEEE International Conference on Big Data (IEEE BigData 2016) Workshop of Application of Big Data for Computational Social Science, Washington DC, USA, December 5-8, 2016.
Jung S., T. M. Lai, Segev A., Analyzing Future Nodes in a Knowledge Network, IEEE International Congress on Big Data, San Francisco, USA, June 27 - July 2, 2016.
Ko M., Choi S-W., Lee J., Yang S., Lee U., Segev A., and Song J., Motives for Mass Interactions in Online Sports Viewing, Proceedings of World Wide Web Conference (WWW 2014), Seoul, Korea, April 17-11, 2014.
Jung S., Segev A., Analyzing Future Communities in Growing Citation Networks, Proceedings of ACM International Conference on Information and Knowledge Management (CIKM 2013) International Workshop on Mining Unstructured Big Data using Natural Language Processing, Burlingame, CA, USA, October 27-November 1, 2013.
Segev A., Jung C., Jung S., Analysis of Technology Trends Based on Big Data, IEEE International Congress on Big Data, Santa Clara, CA, USA, June 27-July 2, 2013.
Yao L., Sheng Q. Z., Segev A., Yu J., Recommending Web Services via Combining Collaborative Filtering with Content-based Features, IEEE International Conference on Web Services, Santa Clara, CA, USA, June 27-July 2, 2013.
Jihan S. H. and Segev A., Context Ontology for Humanitarian Assistance in Crisis Response, Proceedings of International Conference on Information Systems for Crisis Response and Management (ISCRAM-13), Baden-Baden, Germany, May 12-15, 2013. (Best Student Paper Award)
Segev A., Temporal Term Frequency Analysis of Technology, 14th International Conference on Artificial Intelligence (ICAI'12), Las Vegas, USA, July 16-19, 2012.
Lee J. H. and Segev A., Knowledge Maps for e-Learning, World Conference on E-Learning in Corporate, Government, Healthcare & Higher Education (E-LEARN 2011), Honolulu, Hawaii, USA, October 17-21, 2011.
Lee J. H. and Segev A., Information Learning with Knowledge Maps, Israel Association for Information Systems Conference (ILAIS 20110), Raanana, Israel, June 29, 2011.
Segev A. and Kantola J., Patent Service Self Organizing Maps, Proceedings of International Conference on Information Technology: New Generations (ITNG 2011), Las Vegas, Nevada, USA, April 11-13, 2011.
Kantola J. and Segev A., Simulating Patent Knowledge Contexts, International Conference on Data Engineering and Internet Technology (DEIT 2011), Bali, Indonesia, March 15-17, 2011.
Segev A. and Kantola J., Multilingual Patent Knowledge Discovery, Proceedings of International Computer Symposium (ICS), Tainan, Taiwan, December 16-18, 2010.
Segev A. and Kantola J., Knowledge Discovery Systems for Patents, Proceedings of International Conference on Knowledge Management (ICKM 2010), Pittsburgh, Pennsylvania, USA, October 22-23, 2010.
Segev A. and Kantola J., Patent Search Decision Support Service, Proceedings of International Conference on Information Technology: New Generations (ITNG 2010), Las Vegas, Nevada, USA, April 12-14, 2010.<
Segev A. and Sheng Q. Z., Ontology Construction for Web Services, Proceedings of ISWC Workshop on Ontology Patterns (WOP 2009), Washington, DC, USA, 25-29 October 2009.
Segev A., Knowledge Management for Rapid Response, ISOneWorld2009, Las Vegas, USA, April 15-17, 2009.
Segev A., U2.0 Semantic Service Composition, International Symposium of Service Innovation and Service Science, Taipei, Taiwan, January 6-7, 2009.
Segev A., Multilingual Knowledge Management for Crisis, Proceedings of International Conference on Electronic Business (ICEB'08), Waikoloa, Hawaii, USA, September 30 - October 3, 2008.
Segev A., Circular Context-Based Semantic Matching to Identify Web Service Composition, Context enabled Source and Service Selection, Integration and Adaption (CSSSIA) workshop in World Wide Web Conference, Beijing, China, April 22, 2008.
Segev A., Adaptive Ontology Use for Crisis Knowledge Representation, Proceedings of International Conference on Information Systems for Crisis Response and Management (ISCRAM-08), Washington, D.C., USA, May 4-7, 2008.
Segev A. and Toch E., E-Business Service Semantic Classification and Retrieval, Proceedings of International Conference on Electronic Business (ICEB'07), Taipei, Taiwan, December 2-6, 2007.
Gal A., Segev A., and Toch E., Semantic Methods for Service Categorization - An Empirical Study, Proceedings of VLDB International Workshop on Semantic Data and Service Integration (SDSI-07) , Vienna, Austria, September 23, 2007.
Segev A. and Gal A., Puzzling It Out: Supporting Ontology Evolution with Applications to eGovernment, Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI) Workshop on Modeling and Representation in Computational Semantics, Hyderabad, India, January 6-12, 2007.
Segev A. and Gal A., Ontology Verification Using Contexts, Proceedings of European Conference on Artificial Intelligence (ECAI-06) Workshop on Contexts and Ontologies: Theory, Practice and Applications (C&O-2006), Riva del Grada, Italy, August 28, 2006.
Segev A. and Shimshoni I., Integration of Computer Vision and Context Recognition, Proceedings of WWW2006 Workshop: Information Integration on the Web, Edinburgh, Scotland, May 22, 2006.
Gal A. and Segev A., Putting Things in Context: Dynamic eGovernment Re-Engineering using Ontologies and Context, WWW2006 Workshop: The E-Government: Barriers and Opportunities, Edinburgh, Scotland, May, 2006.
Segev A., Identifying the Multiple Contexts of a Situation, Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI) Workshop on Modeling and Retrieval of Context, Edinburgh Scotland, 30 July - 5 August 2005.
Segev A. and Gal A., Putting Things in Context: An Algorithmic Approach to Mapping Ontologies and Contexts, Proceedings of the American Association of Artificial Intelligence (AAAI) Workshop on Contexts and Ontologies: Theory, Practice and Applications. Pittsburgh, USA, July 9-13, 2005.
Segev A., Automated Context Recognition: An Algorithmic Approach. International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'05) Demonstration Program. Paris, France July 6-8, 2005.
Segev A. and Gal A., eGovernment Policy Evaluation Support using Multilingual Ontologies, Proceedings of the Observatory on Interoperable eGovernment Services: eGov-Interop'05 Annual Conference, Geneva, Switzerland, February 23-25, 2005.