A Tommasel

Latest

• Differences in emotional content, dream awareness, and dream control between lucid dreams and out-of-body experiences: Report analyses
• Structural differences between non-lucid dreams, lucid dreams and out-of-body experience reports assessed by graph analysis
• Special issue on intelligent systems for tackling online harms
• Influence and performance of user similarity metrics in followee prediction
• Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
• Haven't I just listened to this?: Exploring diversity in music recommendations
• I want to break free! – Recommending friends from outside the echo chamber
• OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems
• Is my model biased? Exploring unintended bias in misogyny detection tasks
• Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
• Workshop on Online Misinformation- and Harm-Aware Recommender Systems
• Short-text learning in social media: A review
• An experimental study on feature engineering and learning approaches for aggression detection in social media
• Towards anticipation of architectural smells using link prediction techniques
• A social-aware online short-text feature selection technique for social media
• Can network analysis techniques help to predict design dependencies? An initial study
• Textual aggression detection through deep learning
• Multi-view community detection with heterogeneous information from social media data
• Short-text feature construction and selection in social media data: A survey
• Consensus community detection for multi-dimensional networks
• A distributed approach for accelerating sparse-matrix arithmetic operations for high-dimensional feature selection
• Learning and adapting user criteria for recommending followees in social networks
• SMArtOp: A Java library for distributing high-dimensional sparse-matrix arithmetic operations
• Integrating heterogeneous information from social networks into community detection
• Personality-aware followee recommendation algorithms: An empirical analysis
• A novel metric for assessing user influence based on user behaviour
• An adaptive technique for weighting multiple factors in followee recommendation algorithms
• Exploring the role of personality traits in followee recommendation
• Semantic grounding of social annotations for enhancing resource classification in folksonomies