Aviv Segev

According to our database1, Aviv Segev authored at least 57 papers between 2005 and 2024.

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Bibliography

2024
Neural network structure simplification by assessing evolution in node weight magnitude.
Mach. Learn., June, 2024

2023
A Comparison of Methods for Neural Network Aggregation.
Adv. Artif. Intell. Mach. Learn., 2023

2022
Analyzing the generalizability of the network-based topic emergence identification method.
Semantic Web, 2022

Identifying a common pattern within ancestors of emerging topics for pan-domain topic emergence prediction.
Knowl. Based Syst., 2022

DAC: Descendant-aware clustering algorithm for network-based topic emergence prediction.
J. Informetrics, 2022

Bayesian Ensembled Knowledge Extraction Strategy for Online Portfolio Selection.
Proceedings of the IEEE International Conference on Big Data, 2022

Semantic Similarity Analysis between Future Topics and Their Neighbors in Topic Networks for Network-based Topic Evolution.
Proceedings of the IEEE International Conference on Big Data, 2022

Optimizing the Descendant-Aware Clustering Parameters.
Proceedings of the IEEE International Conference on Big Data, 2022

2020
Finding Informative Comments for Video Viewing.
SN Comput. Sci., 2020

TermBall: Tracking and Predicting Evolution Types of Research Topics by Using Knowledge Structures in Scholarly Big Data.
IEEE Access, 2020

Animal Behavior Prediction with Long Short-Term Memory.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Identification and Prediction of Emerging Topics through Their Relationships to Existing Topics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

An Automatic Classification of the Primary and the Corresponding Authors in Research Articles.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Hybrid Decision Tree-Neural Network (DT-NN) Model for Large-Scale Classification Problems.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Evolutionary Bi-objective Optimization and Knowledge Extraction for Electronic and Automotive Cooling.
Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

A Neural Net Based Prediction of Sound Pressure Level for the Design of the Aerofoil.
Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

OINNIONN: outward inward neural network and inward outward neural network evolution.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolutionary Computation for Optimal LQR Weighting Matrices for Lower Limb Exoskeleton Feedback Control.
Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

On Neural Network Activation Functions and Optimizers in Relation to Polynomial Regression.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Failing & !Falling (F&!F): Learning to Classify Accidents and Incidents in Aircraft Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Combining Neural Nets.
Proceedings of the AMIA 2019, 2019

2018
Research Hypothesis Generation Using Link Prediction in a Bipartite Graph.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Multi-document summarization using evolutionary multi-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sensors Know Which Photos Are Memorable.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

It's More than Just Sharing Game Play Videos! Understanding User Motives in Mobile Game Social Media.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Tracking and predicting the evolution of research topics in scientific literature.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Understanding Mass Interactions in Online Sports Viewing: Chatting Motives and Usage Patterns.
ACM Trans. Comput. Hum. Interact., 2016

Cannibalism in medical topic networks.
Knowl. Based Syst., 2016

Analyzing Future Nodes in a Knowledge Network.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
Unified Collaborative and Content-Based Web Service Recommendation.
IEEE Trans. Serv. Comput., 2015

Analysis of Technology Trends Basedon Diverse Data Sources.
IEEE Trans. Serv. Comput., 2015

2014
Analyzing future communities in growing citation networks.
Knowl. Based Syst., 2014

Humanitarian Assistance Ontology for Emergency Disaster Response.
IEEE Intell. Syst., 2014

Motives for mass interactions in online sports viewing.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Analyzing multilingual knowledge innovation in patents.
Expert Syst. Appl., 2013

Context ontology for humanitarian assistance in crisis response.
Proceedings of the 10th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2013

Recommending Web Services via Combining Collaborative Filtering with Content-Based Features.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

Analysis of Technology Trends Based on Big Data.
Proceedings of the IEEE International Congress on Big Data, 2013

2012
Bootstrapping Ontologies for Web Services.
IEEE Trans. Serv. Comput., 2012

Identification of trends from patents using self-organizing maps.
Expert Syst. Appl., 2012

Knowledge maps for e-learning.
Comput. Educ., 2012

2011
Patent Service Self-Organizing Maps.
Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

2010
Techniques on developing context-aware web services.
Int. J. Web Inf. Syst., 2010

Integrating computer vision with web-based knowledge for medical diagnostic assistance.
Expert Syst. J. Knowl. Eng., 2010

Patent Search Decision Support Service.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

2009
Context-Based Matching and Ranking of Web Services for Composition.
IEEE Trans. Serv. Comput., 2009

Adaptive Ontology Use for Crisis Knowledge Representation.
Int. J. Inf. Syst. Crisis Response Manag., 2009

Ontologies Construction for Web Services.
Proceedings of the Workshop on Ontology Patterns (WOP 2009) , 2009

2008
Enhancing portability with multilingual ontology-based knowledge management.
Decis. Support Syst., 2008

Circular context-based semantic matching to identify web service composition.
Proceedings of the 2008 International Workshop on Context Enabled Source and Service Selection, 2008

2007
Putting Things in Context: A Topological Approach to Mapping Contexts to Ontologies.
J. Data Semant., 2007

Context recognition using internet as a knowledge base.
J. Intell. Inf. Syst., 2007

Internet as a knowledge base for medical diagnostic assistance.
Expert Syst. Appl., 2007

2006
Ontology Verification Using Contexts.
Proceedings of the 2nd International Workshop on Contexts and Ontologies: Theory, 2006

2005
Identifying the Multiple Contexts of a Situation.
Proceedings of the IJCAI-05 Workshop on Modeling and Retrieval of Context Edinburgh, July 31, 2005

Agent Oriented Data Integration.
Proceedings of the Perspectives in Conceptual Modeling, 2005


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