200 results on '"Terashima-Marín, Hugo"'
Search Results
2. DTwin-TEC: An AI-based TEC district digital twin and emulating security events by leveraging knowledge graph
3. COVID-WideNet—A capsule network for COVID-19 detection
4. Hyper-Heuristics to customise metaheuristics for continuous optimisation
5. Algorithm selection for solving educational timetabling problems
6. Evolutionary-based tailoring of synthetic instances for the Knapsack problem
7. Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning
8. Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems
9. Neutrosophic-CNN-based image and text fusion for multimodal classification.
10. Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems
11. A unified hyper-heuristic framework for solving bin packing problems
12. Addressing the Algorithm Selection Problem through an Attention-Based Meta-Learner Approach.
13. Understanding the structure of bin packing problems through principal component analysis
14. A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems
15. Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature.
16. Engagement and Social Impact in Tech-Based Citizen Science Initiatives for Achieving the SDGs: A Systematic Literature Review with a Perspective on Complex Thinking.
17. Leveraging a Neuroevolutionary Approach for Classifying Violent Behavior in Video.
18. An effective heuristic for the two-dimensional irregular bin packing problem
19. A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem.
20. Exploring the Knowledge Embedded in Class Visualizations and Their Application in Dataset and Extreme Model Compression.
21. A General Framework Based on Machine Learning for Algorithm Selection in Constraint Satisfaction Problems.
22. Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic.
23. CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search
24. Learning vector quantization for variable ordering in constraint satisfaction problems
25. Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.
26. Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems.
27. Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems.
28. Automatic Generation of Heuristics for Constraint Satisfaction Problems.
29. Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn?
30. Assembling Similar Tracking Approaches in Order to Strengthen Performance.
31. Local Features Classification for Adaptive Tracking.
32. A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction.
33. Improving the performance of vector hyper-heuristics through local search.
34. Challenging heuristics.
35. Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems.
36. Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems.
37. uQFCS.
38. Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling.
39. Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems.
40. QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions.
41. Detection and Classification of Microcalcification Clusters in Mammograms using Evolutionary Neural Networks.
42. On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution.
43. Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms.
44. Assessing the Value of Future and Present Options in Real-Time Planning.
45. Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem.
46. Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks.
47. Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters.
48. Language Independent Passage Retrieval for Question Answering.
49. Air Pollution Assessment Through a Multiagent-Based Traffic Simulation.
50. Applying the GFM Prospective Paradigm to the Autonomous and Adaptative Control of a Virtual Robot.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.