Morteza Zihayat

Latest

• A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
• A Neural Approach to Forming Coherent Teams in Collaboration Networks
• Addressing Gender-related Performance Disparities in Neural Rankers
• Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
• Embedding-based team formation for community question answering
• Feature-based question routing in community question answering platforms
• Fine-Tuning Dependencies with Parameters
• Gender Fairness in Information Retrieval Systems
• How Well We Know Wellness: Closing the Gap on Wellness Program Research in the Workplace
• Social influence-based contrast language analysis framework for clinical decision support systems
• The trends of sustainability in the luxury fashion industry: A Triple Bottom Line analysis
• A non-factoid question answering system for prior art search
• An automated mobile app labeling framework based on primary motivations for smartphone use
• Collaborative Experts Discovery in Social Coding Platforms
• Effective Keyword Search in Weighted Graphs
• Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets
• Leveraging non-respondent data in customer satisfaction modeling
• Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
• On the orthogonality of bias and utility in ad hoc retrieval
• OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
• Query Performance Prediction Through Retrieval Coherency.
• RW-Team: Robust Team Formation using Random Walk
• A big data analytics framework for detecting user-level depression from social networks
• Compact group discovery in attributed graphs and social networks
• Paywall policy learning in digital news media
• Robust keyword search in large attributed graphs
• Time-based gap analysis of cybersecurity trends in academic and digital media
• A Survey of High Utility Pattern Mining Algorithms for Big Data
• A utility-based news recommendation system
• Mining and exploration of attributed graphs: theory and applications
• Adaptive paywall mechanism for digital news media
• Effective Team Formation in Expert Networks.
• Efficiently mining high utility sequential patterns in static and streaming data
• Memory-adaptive high utility sequential pattern mining over data streams
• Mining significant high utility gene regulation sequential patterns
• Time-aware subscription prediction model for user acquisition in digital news media
• Authority-based team discovery in social networks
• Distributed and parallel high utility sequential pattern mining
• Top-k utility-based gene regulation sequential pattern discovery
• Memory-bounded high utility sequential pattern mining over data streams
• Mining high utility sequential patterns from evolving data streams
• Efficient Mining of High Utility Sequential Patterns Over Data Streams
• Mining top-k high utility patterns over data streams
• Two-phase pareto set discovery for team formation in social networks
• Affordable and collaborative team formation in an expert network
• Finding affordable and collaborative teams from a network of experts
• Signal detection in genome sequences using complexity based features
• Efficient bi-objective team formation in social networks
• An improved fuzzy k-medoids clustering algorithm with optimized number of clusters
• A DCT based approach for detecting novelty and concept drift in data streams
• An Unsupervised Distributed Intrusion Detection System with Effective Bandwidth Utilization
• Content-based concept drift detection for email spam filtering