All Stories

  1. Deep Learning Techniques for Text-Based Emotional Response Generation: A Systematic Review
  2. SpanishTweetsCOVID-19: A Social Media Enriched Covid-19 Twitter Spanish Dataset
  3. Countering the Spread: An Approach to Identify Misinformation Spreaders in Social Media
  4. BEHAV-E! You are Not Just a Number to Us, but an R 2048 Embedding
  5. PrivEval: A Tool for Interactive Evaluation of Privacy Metrics in Synthetic Data Generation
  6. Leveraging User History with Transformers for News Clicking: The DArgk Approach
  7. Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection
  8. Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
  9. Haven’t I just Listened to This?: Exploring Diversity in Music Recommendations
  10. Following the Trail of Fake News Spreaders in Social Media: A Deep Learning Model
  11. Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
  12. A Deep Learning model for estimating parking space availability
  13. I Want to Break Free! Recommending Friends from Outside the Echo Chamber
  14. Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
  15. Evaluating Machine Learning Approaches for Evapotranspiration Estimation in the Pampean Region of Argentina
  16. Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina’s Life Quality Index
  17. DewSim: A trace‐driven toolkit for simulating mobile device clusters in Dew computing environments
  18. An experimental study on feature engineering and learning approaches for aggression detection in social media
  19. Estimating Body Condition Score in Dairy Cows From Depth Images Using Convolutional Neural Networks, Transfer Learning and Model Ensembling Techniques
  20. Body condition estimation on cows from depth images using Convolutional Neural Networks
  21. Exploiting named entity recognition for improving syntactic-based web service discovery
  22. Simple Energy Aware Scheduler: An Empirical Evaluation
  23. Spotting and Removing WSDL Anti-pattern Root Causes in Code-first Web Services Using NLP Techniques : A Thorough Validation of Impact on Service Discoverability
  24. A performance comparison of data-aware heuristics for scheduling jobs in mobile grids
  25. An empirical evaluation of a simple energy aware scheduler for mobile grids
  26. Word embeddings for improving REST services discoverability
  27. A multi-core computing approach for large-scale multi-label classification
  28. Extending JASAG with data processing techniques for speeding up agricultural simulation applications: A case study with Simugan
  29. A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile Grids
  30. An Empirical Comparison Of Feature Selection Methods In Problem Transformation Multi-label Classification
  31. Battery-aware centralized schedulers for CPU-bound jobs in mobile Grids
  32. Improving REST Service Discovery with Unsupervised Learning Techniques
  33. Clasificación multi-etiqueta utilizando computación distribuida
  34. A tool for building retrievable code-first Web Services
  35. A tool to improve code‐first Web services discoverability through text mining techniques
  36. Bottom-Up and Top-Down Cobol System Migration to Web Services
  37. Energy-efficient job stealing for CPU-intensive processing in mobile devices
  38. Measuring the impact of the approach to migration in the quality of web service interfaces
  39. Best practices for describing, consuming, and discovering web services: a comprehensive toolset
  40. Are Smartphones Really Useful for Scientific Computing?
  41. Introducing mobile devices into Grid systems: a survey
  42. Improving Web Service descriptions for effective service discovery
  43. The EasySOC Project: A Rich Catalog of Best Practices for Developing Web Service Applications
  44. Revising WSDL Documents: Why and How
  45. Automatically Detecting Opportunities for Web Service Descriptions Improvement
  46. The SOA Frontier