| Classification of retinal vessels using a collaborative agent-based architecture |
5 |
| Combining argumentation and aspect-based opinion mining: The SMACk system |
4 |
| Supporting adaptiveness of cyber-physical processes through action-based formalisms |
3 |
| Intelligent tutoring system to improve learning outcomes |
2 |
| Handwriting recognition by using deep learning to extract meaningful features |
2 |
| Hierarchical invention of theorem proving strategies |
1 |
| Rationale-based perceptual monitors |
1 |
| Distributed discrepancy detection for a goal reasoning agent in beyond-visual-range air combat |
1 |
| Dealing with temporal indeterminacy in relational databases: An AI methodology |
1 |
| An intelligent system for taxi service: Analysis, prediction and visualization |
1 |
| Addressing structural and linguistic heterogeneity in the Web |
1 |
| The Barcelona declaration for the proper development and usage of artificial intelligence in Europe |
1 |
| A genetic algorithm for group formation in elderly communities |
1 |
| Improving strategic decision making by the detection of weak signals in heterogeneous documents by text mining techniques |
1 |
| The CADE-27 Automated theorem proving System Competition - CASC-27 |
1 |
| A feature selection approach combining neural networks with genetic algorithms |
0 |
| A dashboard for controlling polarization in personalization |
0 |
| Planning and visualization for a smart meeting room assistant A case study in the Cognitive Environments Laboratory at IBM TJ Waston Research Center, Yorktown |
0 |
| Alice in DIY wonderland or: Instructing novice users on how to use tools in DIY projects |
0 |
| Automated repricing and ordering strategies in competitive markets |
0 |
| Aesop: A visual storytelling platform for conversational AI and common sense grounding |
0 |
| IBM Scenario Planning Advisor: Plan recognition as AI planning in practice |
0 |
| Coalition formation in social environments with logic-based agents |
0 |
| Performance robustness of AI planners in the 2014 International Planning Competition |
0 |
| The 9th IJCAR Automated Theorem Proving System Competition - CASC-J9 |
0 |
| Leveraging knowledge bases for future prediction with memory comparison networks |
0 |
| Drawing OWL 2 ontologies with Eddy the editor |
0 |
| ASQFor: Automatic SPARQL query formulation for the non-expert |
0 |
| Using Semantic Web technologies and production rules for reasoning on obligations, permissions, and prohibitions |
0 |
| Approximating agreements in formal argumentation dialogues |
0 |
| Review on Wikification methods |
0 |
| Multi-agent path finding on real robots |
0 |
| Exploring feature extraction methods for infant mood classification |
0 |
| Agent-based modeling of collaborative creative processes with INGENIAS |
0 |
| Consensus-finding that preserves mutually conflicting hypothetical information from a same agent |
0 |
| Towards backbone computing: A Greedy-Whitening based approach |
0 |
| Programming and verifying a declarative first-order prover in Isabelle/HOL |
0 |
| Can an A. I. win a medal in the mathematical olympiad? - Benchmarking mechanized mathematics on pre-university problems |
0 |
| Investigating the solution space for online iterative explanation in goal reasoning agents |
0 |
| Goal reasoning for autonomous underwater vehicles: Responding to unexpected agents |
0 |
| Anticipation of goals in automated planning |
0 |
| Learning-driven goal generation |
0 |
| Learning task hierarchies using statistical semantics and goal reasoning |
0 |
| Why the 'selfish' optimizing agents could solve the decentralized reinforcement learning problems |
0 |
| Routing for on-street parking search using probabilistic data |
0 |
| Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques |
0 |
| New stochastic local search approaches for computing preferred extensions of abstract argumentation |
0 |
| Resizing cardinality constraints for MaxSAT |
0 |
| Two-phase selective decentralization to improve reinforcement learning systems with MDP |
0 |
| INNAMP: An incremental neural network architecture with monitor perceptron |
0 |
