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2020 – today
- 2024
[j25]Ralf Riedel
, Aviv Segev:
Neural network structure simplification by assessing evolution in node weight magnitude. Mach. Learn. 113(6): 3693-3710 (2024)- 2023
- [j24]John Pomerat, Aviv Segev:
A Comparison of Methods for Neural Network Aggregation. Adv. Artif. Intell. Mach. Learn. 3(2): 1012-1024 (2023) - [i1]John Pomerat, Aviv Segev:
A Comparison of Methods for Neural Network Aggregation. CoRR abs/2303.03488 (2023) - 2022
- [j23]Sukhwan Jung, Aviv Segev:
DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction. J. Informetrics 16(3): 101320 (2022) - [j22]Sukhwan Jung, Aviv Segev:
Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction. Knowl. Based Syst. 258: 110020 (2022) - [j21]Sukhwan Jung, Aviv Segev:
Analyzing the generalizability of the network-based topic emergence identification method. Semantic Web 13(3): 423-439 (2022) - [c35]Sukhwan Jung, Aviv Segev:
Optimizing the Descendant-Aware Clustering Parameters. IEEE Big Data 2022: 3675-3683 - [c34]Abhishek Kumar, Aviv Segev:
Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection. IEEE Big Data 2022: 4148-4156 - [c33]Sukhwan Jung, Aviv Segev:
Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution. IEEE Big Data 2022: 5952-5961 - 2020
- [j20]Christine Balili, Uichin Lee, Aviv Segev, Jaejeung Kim, Minsam Ko:
TermBall: Tracking and Predicting Evolution Types of Research Topics by Using Knowledge Structures in Scholarly Big Data. IEEE Access 8: 108514-108529 (2020) - [j19]Seung-Woo Choi, Aviv Segev:
Finding Informative Comments for Video Viewing. SN Comput. Sci. 1(1): 47:1-47:14 (2020) - [c32]Jarrod Carson, Kane Hollingsworth, Rituparna Datta, George W. Clark, Aviv Segev:
A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems. IEEE BigData 2020: 4103-4111 - [c31]Henry Roberts, Aviv Segev:
Animal Behavior Prediction with Long Short-Term Memory. IEEE BigData 2020: 4157-4164 - [c30]Sukhwan Jung, Rituparna Datta, Aviv Segev:
An Automatic Classification of the Primary and the Corresponding Authors in Research Articles. IEEE BigData 2020: 4604-4612 - [c29]Sukhwan Jung, Rituparna Datta, Aviv Segev:
Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics. IEEE BigData 2020: 5078-5087
2010 – 2019
- 2019
- [c28]Nithin Buduma, Aviv Segev, Dorothy W. Curtis:
Combining Neural Nets. AMIA 2019 - [c27]Jarrod Carson, Kane Hollingsworth, Rituparna Datta, Aviv Segev:
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data. IEEE BigData 2019: 4357-4365 - [c26]John Pomerat, Aviv Segev, Rituparna Datta:
On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression. IEEE BigData 2019: 6183-6185 - [c25]Jatin Gupta, Rituparna Datta, Arun Kumar Sharma, Aviv Segev, Bishakh Bhattacharya:
Evolutionary Computation for Optimal LQR Weighting Matrices for Lower Limb Exoskeleton Feedback Control. CSE/EUC 2019: 24-29 - [c24]Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis:
OINNIONN: outward inward neural network and inward outward neural network evolution. GECCO (Companion) 2019: 79-80 - [c23]Shree Ram Pandey, Rituparna Datta, Aviv Segev, Bishakh Bhattacharya:
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling. SEMCCO/FANCCO 2019: 79-92 - [c22]Palash Pal, Rituparna Datta, Deepak Rajbansi, Aviv Segev:
A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil. SEMCCO/FANCCO 2019: 105-112 - 2018
- [c21]Jung-Hun Kim, Aviv Segev:
Research Hypothesis Generation Using Link Prediction in a Bipartite Graph. IEEE BigData 2018: 2863-2867 - 2017
- [c20]Christine Balili, Aviv Segev, Uichin Lee:
Tracking and predicting the evolution of research topics in scientific literature. IEEE BigData 2017: 1694-1697 - [c19]Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. CEC 2017: 317-324 - [c18]Soyoung Kim, Kalenzi Asio Evelyn Patra, Auk Kim, Kun-Pyo Lee, Aviv Segev, Uichin Lee:
Sensors Know Which Photos Are Memorable. CHI Extended Abstracts 2017: 2706-2713 - [c17]Hayun Kim, Lebogang Wame Molefi, Auk Kim, Woontack Woo, Aviv Segev, Uichin Lee:
It's More than Just Sharing Game Play Videos! Understanding User Motives in Mobile Game Social Media. CHI Extended Abstracts 2017: 2714-2720 - [c16]Chihoon Jung, Rituparna Datta, Aviv Segev:
Multi-document summarization using evolutionary multi-objective optimization. GECCO (Companion) 2017: 31-32 - 2016
- [j18]Suhyun Chae, Aviv Segev, Uichin Lee:
Cannibalism in medical topic networks. Knowl. Based Syst. 108: 168-178 (2016) - [j17]Minsam Ko, Seung-Woo Choi, Joonwon Lee, Uichin Lee, Aviv Segev:
Understanding Mass Interactions in Online Sports Viewing: Chatting Motives and Usage Patterns. ACM Trans. Comput. Hum. Interact. 23(1): 6:1-6:27 (2016) - [c15]Sukhwan Jung, Tuan Manh Lai, Aviv Segev:
Analyzing Future Nodes in a Knowledge Network. BigData Congress 2016: 357-360 - [c14]Seung-Woo Choi, Aviv Segev:
Finding informative comments for video viewing. IEEE BigData 2016: 2457-2465 - 2015
- [j16]Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Jian Yu, Aviv Segev:
Unified Collaborative and Content-Based Web Service Recommendation. IEEE Trans. Serv. Comput. 8(3): 453-466 (2015) - [j15]Aviv Segev, Sukhwan Jung, Seung-Woo Choi:
Analysis of Technology Trends Basedon Diverse Data Sources. IEEE Trans. Serv. Comput. 8(6): 903-915 (2015) - 2014
- [j14]Satria Hutomo Jihan, Aviv Segev:
Humanitarian Assistance Ontology for Emergency Disaster Response. IEEE Intell. Syst. 29(3): 6-13 (2014) - [j13]Sukhwan Jung, Aviv Segev:
Analyzing future communities in growing citation networks. Knowl. Based Syst. 69: 34-44 (2014) - [c13]Minsam Ko, Seung-Woo Choi, Joonwon Lee, Subin Yang, Uichin Lee, Aviv Segev, Junehwa Song:
Motives for mass interactions in online sports viewing. WWW (Companion Volume) 2014: 329-330 - 2013
- [j12]Aviv Segev, Jussi Kantola, Chihoon Jung, Jae-Hwa Lee:
Analyzing multilingual knowledge innovation in patents. Expert Syst. Appl. 40(17): 7010-7023 (2013) - [c12]Aviv Segev, Chihoon Jung, Sukhwan Jung:
Analysis of Technology Trends Based on Big Data. BigData Congress 2013: 419-420 - [c11]Sukhwan Jung, Aviv Segev:
Analyzing future communities in growing citation networks. UnstructureNLP@CIKM 2013: 15-22 - [c10]Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu:
Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. ICWS 2013: 42-49 - [c9]Satria Hutomo Jihan, Aviv Segev:
Context ontology for humanitarian assistance in crisis response. ISCRAM 2013 - 2012
- [j11]Jae-Hwa Lee, Aviv Segev:
Knowledge maps for e-learning. Comput. Educ. 59(2): 353-364 (2012) - [j10]Aviv Segev, Jussi Kantola:
Identification of trends from patents using self-organizing maps. Expert Syst. Appl. 39(18): 13235-13242 (2012) - [j9]Aviv Segev, Quan Z. Sheng:
Bootstrapping Ontologies for Web Services. IEEE Trans. Serv. Comput. 5(1): 33-44 (2012) - 2011
- [c8]Aviv Segev, Jussi Kantola:
Patent Service Self-Organizing Maps. ITNG 2011: 839-844 - 2010
- [j8]Aviv Segev:
Integrating computer vision with web-based knowledge for medical diagnostic assistance. Expert Syst. J. Knowl. Eng. 27(4): 247-258 (2010) - [j7]Quan Z. Sheng, Jian Yu, Aviv Segev, Kewen Liao:
Techniques on developing context-aware web services. Int. J. Web Inf. Syst. 6(3): 185-202 (2010) - [c7]Aviv Segev, Jussi Kantola:
Patent Search Decision Support Service. ITNG 2010: 568-573
2000 – 2009
- 2009
- [j6]Aviv Segev:
Adaptive Ontology Use for Crisis Knowledge Representation. Int. J. Inf. Syst. Crisis Response Manag. 1(2): 16-30 (2009) - [j5]Aviv Segev, Eran Toch:
Context-Based Matching and Ranking of Web Services for Composition. IEEE Trans. Serv. Comput. 2(3): 210-222 (2009) - [c6]Aviv Segev, Quan Z. Sheng:
Ontologies Construction for Web Services. WOP 2009 - 2008
- [j4]Aviv Segev, Avigdor Gal:
Enhancing portability with multilingual ontology-based knowledge management. Decis. Support Syst. 45(3): 567-584 (2008) - [c5]Aviv Segev:
Circular context-based semantic matching to identify web service composition. CSSSIA 2008: 7 - 2007
- [j3]Aviv Segev, Moshe Leshno, Moshe Zviran:
Internet as a knowledge base for medical diagnostic assistance. Expert Syst. Appl. 33(1): 251-255 (2007) - [j2]Aviv Segev, Moshe Leshno, Moshe Zviran:
Context recognition using internet as a knowledge base. J. Intell. Inf. Syst. 29(3): 305-327 (2007) - [j1]Aviv Segev, Avigdor Gal:
Putting Things in Context: A Topological Approach to Mapping Contexts to Ontologies. J. Data Semant. 9: 113-140 (2007) - 2006
- [c4]Aviv Segev, Avigdor Gal:
Ontology Verification Using Contexts. C&O@ECAI 2006 - 2005
- [c3]Avigdor Gal, Aviv Segev, Christos Tatsiopoulos, Kostas Sidiropoulos, Pantelis Georgiades:
Agent Oriented Data Integration. ER (Workshops) 2005: 98-108 - [c2]Aviv Segev:
Identifying the Multiple Contexts of a Situation. MRC@IJCAI 2005 - [c1]Aviv Segev:
Identifying the Multiple Contexts of a Situation. MRC 2005: 118-133
Coauthor Index
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last updated on 2024-11-08 20:26 CET by the dblp team
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