Research Papers

For research papers please click on the topics below to access the full papers.

1. A survey of neural network-based cancer prediction models from microarray data

2. Face detection using skin tone segmentation

3. Automatic Shape Independent Clustering Inspired By Ant Dynamics

4. Region Marking of Face and Eye Using Skin Tone Segmentation

5.Modified estimation of Distribution algorithm with differential mutation for constrained optimization

6. A Cooperative Co-evolutionary Approach for Multi-objective Optimization

7. Large scale real parameter optimization using genome grouping

8. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context

9. Bridging the Gap between Training and Inference for Neural Machine Translation

10. BERT: Pre-training Of Deep Bidirectional Transformers For Language Understanding

11. Emotion-Cause Pair Extraction: A New Task To Emotion Analysis In Texts

12. Neural Approaches To Conversational AI

13. ALBERT: A Lite BERT For Self-supervised Learning Of Language Representations

14. XLNet: Generalized Autoregressive Pre-training For Language Understanding

15. Improving Language Understanding By Generative Pre-Training

16. Blockchain Meets Cloud Computing: A Survey

17. A Survey on Blockchain Technology: Evolution Architecture and Security

18. Implementation of Hybrid Blockchain in a Pre-Owned Electric Vehicle Supply Chain

19. Framework for Web Personalization Using Web Mining

20. Exploratory search framework for Web data sources

21. Conveying mood and emotion in instant messaging by using a two-dimensional model for affective states

22. Factors Influencing the Adoption of Self Service Technologies (SSTs)

23. Explaining and Harnessing Adversarial Examples

24. Semi-Supervised Classification with Graph Convolutional Networks

25. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

26. Mastering the game of Go with deep neural networks and tree search

27. Human-level control through deep reinforcement learning

28. Neural Machine Translation by Jointly Learning to Align and Translate

29. Faster R-CNN: towards real-time object detection with region proposal networks

30. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

31. Adam: A Method for Stochastic Optimization

32. Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases

33. Ethics and Governance of Artificial Intelligence

34. Intelligence in Strategic Games

35. Confronting Abusive Language Online

36. Measuring the Occupational Impact of AI

37. Viewpoint: AI as Author – Bridging the Gap Between Machine Learning and Literary Theory

38. Game Plan: What AI can do for Football, and What Football can do for AI

39. On the Cluster Admission Problem for Cloud Computing

40. Creativity and artificial intelligence

41. Artificial cognition for social human–robot interaction

42. Explanation in artificial intelligence

43. Making sense of sensory input

44. Conflict-based search for optimal multi-agent pathfinding

45. Algorithms for computing strategies in two-player simultaneous move games

46. Multiple object tracking

47. A survey of inverse reinforcement learning

48. A review of possible effects of cognitive biases on interpretation of rule-based machine learning models

49. Commonsense visual sensemaking for autonomous driving

50. Quantum computation, quantum theory and AI

51. Quantum compiling by deep reinforcement learning

52. A phononic interface between a superconducting quantum processor and quantum networked spin memories

53. High performance quantum computing

54. Internet of Things is a revolutionary approach for future technology enhancement

55. An IoT General-Purpose Sensor Board for Enabling Remote Aquatic Environmental Monitoring

56. Cross-Referencing Method for Scalable Public Blockchain

57. A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework