Aviv Segev

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 32

Top Topics

Document Summarization

Polynomial Regression

Knowledge Extraction

Top Venues

Knowl. Based Syst.

GECCO (Companion)

Publications

Ralf Riedel, Aviv Segev
Neural network structure simplification by assessing evolution in node weight magnitude. Mach. Learn. 113 (6) (2024)
John Pomerat, Aviv Segev
A Comparison of Methods for Neural Network Aggregation. CoRR (2023)
John Pomerat, Aviv Segev
A Comparison of Methods for Neural Network Aggregation. Adv. Artif. Intell. Mach. Learn. 3 (2) (2023)
Abhishek Kumar, Aviv Segev
Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection. Big Data (2022)
Sukhwan Jung, Aviv Segev
Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution. Big Data (2022)
Sukhwan Jung, Aviv Segev
Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction. Knowl. Based Syst. 258 (2022)
Sukhwan Jung, Aviv Segev
Analyzing the generalizability of the network-based topic emergence identification method. Semantic Web 13 (3) (2022)
Sukhwan Jung, Aviv Segev
Optimizing the Descendant-Aware Clustering Parameters. Big Data (2022)
Sukhwan Jung, Aviv Segev
DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction. J. Informetrics 16 (3) (2022)
Henry Roberts, Aviv Segev
Animal Behavior Prediction with Long Short-Term Memory. IEEE BigData (2020)
Sukhwan Jung, Rituparna Datta, Aviv Segev
An Automatic Classification of the Primary and the Corresponding Authors in Research Articles. IEEE BigData (2020)
Sukhwan Jung, Rituparna Datta, Aviv Segev
Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics. IEEE BigData (2020)
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)
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 (2020)
Seung-Woo Choi, Aviv Segev
Finding Informative Comments for Video Viewing. SN Comput. Sci. 1 (1) (2020)
Shree Ram Pandey, Rituparna Datta, Aviv Segev, Bishakh Bhattacharya
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling. SEMCCO/FANCCO (2019)
Jarrod Carson, Kane Hollingsworth, Rituparna Datta, Aviv Segev
Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data. IEEE BigData (2019)
Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis
OINNIONN: outward inward neural network and inward outward neural network evolution. GECCO (Companion) (2019)
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)
Nithin Buduma, Aviv Segev, Dorothy W. Curtis
Combining Neural Nets. AMIA (2019)
John Pomerat, Aviv Segev, Rituparna Datta
On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression. IEEE BigData (2019)
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)
Jung-Hun Kim, Aviv Segev
Research Hypothesis Generation Using Link Prediction in a Bipartite Graph. IEEE BigData (2018)
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)
Chihoon Jung, Rituparna Datta, Aviv Segev
Multi-document summarization using evolutionary multi-objective optimization. GECCO (Companion) (2017)
Rituparna Datta, Kalyanmoy Deb, Aviv Segev
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. CEC (2017)
Christine Balili, Aviv Segev, Uichin Lee
Tracking and predicting the evolution of research topics in scientific literature. IEEE BigData (2017)
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)
Seung-Woo Choi, Aviv Segev
Finding informative comments for video viewing. IEEE BigData (2016)
Suhyun Chae, Aviv Segev, Uichin Lee
Cannibalism in medical topic networks. Knowl. Based Syst. 108 (2016)
Sukhwan Jung, Tuan Manh Lai, Aviv Segev
Analyzing Future Nodes in a Knowledge Network. BigData Congress (2016)
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) (2016)
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) (2015)
Aviv Segev, Sukhwan Jung, Seung-Woo Choi
Analysis of Technology Trends Basedon Diverse Data Sources. IEEE Trans. Serv. Comput. 8 (6) (2015)
Satria Hutomo Jihan, Aviv Segev
Humanitarian Assistance Ontology for Emergency Disaster Response. IEEE Intell. Syst. 29 (3) (2014)
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)
Sukhwan Jung, Aviv Segev
Analyzing future communities in growing citation networks. Knowl. Based Syst. 69 (2014)
Satria Hutomo Jihan, Aviv Segev
Context ontology for humanitarian assistance in crisis response. ISCRAM (2013)
Aviv Segev, Chihoon Jung, Sukhwan Jung
Analysis of Technology Trends Based on Big Data. BigData Congress (2013)
Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu
Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. ICWS (2013)
Aviv Segev, Jussi Kantola, Chihoon Jung, Jae-Hwa Lee
Analyzing multilingual knowledge innovation in patents. Expert Syst. Appl. 40 (17) (2013)
Sukhwan Jung, Aviv Segev
Analyzing future communities in growing citation networks. UnstructureNLP@CIKM (2013)
Aviv Segev, Jussi Kantola
Identification of trends from patents using self-organizing maps. Expert Syst. Appl. 39 (18) (2012)
Aviv Segev, Quan Z. Sheng
Bootstrapping Ontologies for Web Services. IEEE Trans. Serv. Comput. 5 (1) (2012)
Jae-Hwa Lee, Aviv Segev
Knowledge maps for e-learning. Comput. Educ. 59 (2) (2012)
Aviv Segev, Jussi Kantola
Patent Service Self-Organizing Maps. ITNG (2011)
Quan Z. Sheng, Jian Yu, Aviv Segev, Kewen Liao
Techniques on developing context-aware web services. Int. J. Web Inf. Syst. 6 (3) (2010)
Aviv Segev
Integrating computer vision with web-based knowledge for medical diagnostic assistance. Expert Syst. J. Knowl. Eng. 27 (4) (2010)
Aviv Segev, Jussi Kantola
Patent Search Decision Support Service. ITNG (2010)
Aviv Segev, Eran Toch
Context-Based Matching and Ranking of Web Services for Composition. IEEE Trans. Serv. Comput. 2 (3) (2009)
Aviv Segev
Adaptive Ontology Use for Crisis Knowledge Representation. Int. J. Inf. Syst. Crisis Response Manag. 1 (2) (2009)
Aviv Segev, Quan Z. Sheng
Ontologies Construction for Web Services. WOP (2009)
Aviv Segev, Avigdor Gal
Enhancing portability with multilingual ontology-based knowledge management. Decis. Support Syst. 45 (3) (2008)
Aviv Segev
Circular context-based semantic matching to identify web service composition. CSSSIA (2008)
Aviv Segev, Avigdor Gal
Putting Things in Context: A Topological Approach to Mapping Contexts to Ontologies. J. Data Semant. 9 (2007)
Aviv Segev, Moshe Leshno, Moshe Zviran
Internet as a knowledge base for medical diagnostic assistance. Expert Syst. Appl. 33 (1) (2007)
Aviv Segev, Moshe Leshno, Moshe Zviran
Context recognition using internet as a knowledge base. J. Intell. Inf. Syst. 29 (3) (2007)
Aviv Segev, Avigdor Gal
Ontology Verification Using Contexts. C&O@ECAI (2006)
Aviv Segev
Identifying the Multiple Contexts of a Situation. MRC@IJCAI (2005)
Avigdor Gal, Aviv Segev, Christos Tatsiopoulos, Kostas Sidiropoulos, Pantelis Georgiades
Agent Oriented Data Integration. ER (Workshops) (2005)
Aviv Segev
Identifying the Multiple Contexts of a Situation. MRC (2005)