Javier Del Ser
Orcid: 0000-0002-1260-9775
According to our database1,
Javier Del Ser
authored at least 371 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends.
IEEE CAA J. Autom. Sinica, April, 2024
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion, March, 2024
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies.
Future Gener. Comput. Syst., March, 2024
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning.
Cogn. Comput., January, 2024
Intelligent Underwater Object Detection and Image Restoration for Autonomous Underwater Vehicles.
IEEE Trans. Veh. Technol., 2024
2023
A novel Out-of-Distribution detection approach for Spiking Neural Networks: Design, fusion, performance evaluation and explainability.
Inf. Fusion, December, 2023
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks.
Environ. Model. Softw., December, 2023
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
Inf. Fusion, November, 2023
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023
ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification.
Neurocomputing, November, 2023
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput., November, 2023
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis.
IEEE J. Biomed. Health Informatics, October, 2023
Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.
Neural Comput. Appl., October, 2023
IEEE Trans. Intell. Transp. Syst., August, 2023
AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus.
Neural Comput. Appl., August, 2023
Collaborative training of heterogeneous reinforcement learning agents in environments with sparse rewards: what and when to share?
Neural Comput. Appl., August, 2023
Inf. Fusion, August, 2023
Visual tracking in complex scenes: A location fusion mechanism based on the combination of multiple visual cognition flows.
Inf. Fusion, August, 2023
Future Gener. Comput. Syst., July, 2023
A framework to improve urban accessibility and environmental conditions in age-friendly cities using graph modeling and multi-objective optimization.
Comput. Environ. Urban Syst., June, 2023
Visual Appearance and Soft Biometrics Fusion for Person Re-Identification Using Deep Learning.
IEEE J. Sel. Top. Signal Process., May, 2023
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead.
Inf. Fusion, May, 2023
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation.
Inf. Fusion, April, 2023
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data.
Inf. Fusion, April, 2023
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques.
Appl. Soft Comput., March, 2023
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals.
Comput. Biol. Medicine, February, 2023
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks, January, 2023
Communication Technologies for Edge Learning and Inference: A Novel Framework, Open Issues, and Perspectives.
IEEE Netw., 2023
A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges.
J. Ambient Intell. Humaniz. Comput., 2023
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement.
Inf. Fusion, 2023
Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023
CoRR, 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.
CoRR, 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR, 2023
Using Offline Data to Speed-up Reinforcement Learning in Procedurally Generated Environments.
CoRR, 2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm.
Proceedings of the Optimization and Learning - 6th International Conference, 2023
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
On the Design and Performance of a Novel Metaheuristic Solver for the Extended Colored Traveling Salesman Problem.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Spatial Estimation of Ground-Level Temperature for Climate-Sensitive Urban Mobility using Image-to-Image Deep Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Group'n Route: An Edge Learning-Based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs).
IEEE Trans. Intell. Transp. Syst., 2022
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
IEEE Trans. Evol. Comput., 2022
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future.
Swarm Evol. Comput., 2022
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods.
Swarm Evol. Comput., 2022
An active adaptation strategy for streaming time series classification based on elastic similarity measures.
Neural Comput. Appl., 2022
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification.
Neural Comput. Appl., 2022
A framework for adapting online prediction algorithms to outlier detection over time series.
Knowl. Based Syst., 2022
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification.
Knowl. Based Syst., 2022
Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities.
IEEE Internet Things J., 2022
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence.
Inf. Fusion, 2022
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks.
Future Gener. Comput. Syst., 2022
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data.
Future Gener. Comput. Syst., 2022
A fingerprint-based localization algorithm based on LSTM and data expansion method for sparse samples.
Future Gener. Comput. Syst., 2022
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification.
Eng. Appl. Artif. Intell., 2022
Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions.
ACM Comput. Surv., 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability.
CoRR, 2022
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural Networks.
CoRR, 2022
Accurate Long-term Air Temperature Prediction with a Fusion of Artificial Intelligence and Data Reduction Techniques.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review.
CoRR, 2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.
CoRR, 2022
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus.
CoRR, 2022
On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles.
CoRR, 2022
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions.
Cogn. Comput., 2022
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives.
Appl. Soft Comput., 2022
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information.
Appl. Intell., 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
On the Potential of Randomization-based Neural Networks for Driving Behavior Classification.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
What to Sense When There is no Sensor: Ex-novo Traffic Flow Estimation for Non-Sensed Roads.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
A Comparison of Modelling Approaches for the Long-term Estimation of Origin Destination Matrices in Bike Sharing Systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Efficient Fake News Detection using Bagging Ensembles of Bidirectional Echo State Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Capabilities, Limitations and Challenges of Style Transfer with CycleGANs: A Study on Automatic Ring Design Generation.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
An Evaluation Study of Intrinsic Motivation Techniques Applied to Reinforcement Learning over Hard Exploration Environments.
Proceedings of the Machine Learning and Knowledge Extraction, 2022
2021
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey.
IEEE Trans. Neural Networks Learn. Syst., 2021
An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Intell. Transp. Syst., 2021
Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions.
IEEE Trans. Ind. Informatics, 2021
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability.
Sensors, 2021
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks.
Neural Networks, 2021
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments.
IEEE Internet Things J., 2021
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021
QuickLook: Movie summarization using scene-based leading characters with psychological cues fusion.
Inf. Fusion, 2021
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis.
Inf. Fusion, 2021
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments.
Expert Syst. Appl., 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions.
CoRR, 2021
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges.
Appl. Soft Comput., 2021
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Performance and Explainability of Reservoir Computing Models for Industrial Prognosis.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021
Change Detection and Adaptation Strategies for Long-Term Estimation of Pedestrian Flows.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Soft Sensing Methods for the Generation of Plausible Traffic Data in Sensor-less Locations.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Random Vector Functional Link Networks for Road Traffic Forecasting: Performance Comparison and Stability Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2021
Collaborative Exploration and Reinforcement Learning between Heterogeneously Skilled Agents in Environments with Sparse Rewards.
Proceedings of the International Joint Conference on Neural Networks, 2021
Ensemble Learning for Seated People Counting using WiFi Signals: Performance Study and Transferability Assessment.
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead.
IEEE Trans. Intell. Transp. Syst., 2020
DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios.
IEEE Trans. Ind. Informatics, 2020
IEEE Trans. Ind. Informatics, 2020
Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework.
IEEE Trans. Commun., 2020
Swarm Evol. Comput., 2020
Sensors, 2020
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences.
Neural Networks, 2020
Neural Networks, 2020
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning.
Neural Networks, 2020
J. Comput. Sci., 2020
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial].
IEEE Intell. Transp. Syst. Mag., 2020
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook.
Inf. Fusion, 2020
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Inf. Fusion, 2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges.
Future Gener. Comput. Syst., 2020
On the design of hybrid bio-inspired meta-heuristics for complex multiattribute vehicle routing problems.
Expert Syst. J. Knowl. Eng., 2020
Error Control and Loss Functions for the Deep Learning Inversion of Borehole Resistivity Measurements.
CoRR, 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput., 2020
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics.
Appl. Soft Comput., 2020
A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids.
Appl. Soft Comput., 2020
A critical literature survey and prospects on tampering and anomaly detection in image data.
Appl. Soft Comput., 2020
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Data-driven Predictive Modeling of Traffic and Air Flow for the Improved Efficiency of Tunnel Ventilation Systems.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Dilated LSTM Networks for Short-Term Traffic Forecasting using Network-Wide Vehicle Trajectory Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm.
Proceedings of the Computational Science - ICCS 2020, 2020
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Swarm Intelligence for Automatic Color and Contrast Retrieval of Digital Images of Paintings.
Proceedings of the International Conference on Cyberworlds, 2020
Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Introduction to the Special Issue on Online Learning for Big-Data Driven Transportation and Mobility.
IEEE Trans. Intell. Transp. Syst., 2019
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM.
IEEE Trans. Ind. Electron., 2019
Foreword: New theoretical insights and practical applications of bio-inspired computation approaches.
Swarm Evol. Comput., 2019
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning.
Swarm Evol. Comput., 2019
A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection.
Swarm Evol. Comput., 2019
Swarm Evol. Comput., 2019
Optimal design of Microgrid's network topology and location of the distributed renewable energy resources using the Harmony Search algorithm.
Soft Comput., 2019
Medical Biol. Eng. Comput., 2019
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0.
Inf. Fusion, 2019
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0.
Eng. Appl. Artif. Intell., 2019
CoRR, 2019
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives.
Appl. Soft Comput., 2019
Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
A Question of Trust: Statistical Characterization of Long-Term Traffic Estimations for their Improved Actionability.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
What Lies Beneath: A Note on the Explainability of Black-box Machine Learning Models for Road Traffic Forecasting.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Hybridizing differential evolution and novelty search for multimodal optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Discovering dependencies among mined association rules with population-based metaheuristics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Trophallaxis, Low-Power Vision Sensors and Multi-objective Heuristics for 3D Scene Reconstruction Using Swarm Robotics.
Proceedings of the Applications of Evolutionary Computation, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Neural Networks, 2018
IEEE Intell. Transp. Syst. Mag., 2018
Device-Free People Counting in IoT Environments: New Insights, Results, and Open Challenges.
IEEE Internet Things J., 2018
Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics.
Neurocomputing, 2018
Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments.
Future Gener. Comput. Syst., 2018
A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications.
Expert Syst. J. Knowl. Eng., 2018
CoRR, 2018
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem.
Appl. Soft Comput., 2018
DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments.
Appl. Soft Comput., 2018
Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Interplay of Two Bat Algorithm Robotic Swarms in Non-cooperative Target Point Search.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Distributed Computing XII, 2018
On the Design and Tuning of Machine Learning Models for Language Toxicity Classification in Online Platforms.
Proceedings of the Intelligent Distributed Computing XII, 2018
Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification.
Proceedings of the Intelligent Distributed Computing XII, 2018
Solving the Open-Path Asymmetric Green Traveling Salesman Problem in a Realistic Urban Environment.
Proceedings of the Intelligent Distributed Computing XII, 2018
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures.
Proceedings of the Intelligent Distributed Computing XII, 2018
Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology.
Proceedings of the Intelligent Distributed Computing XII, 2018
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks.
Proceedings of the Intelligent Distributed Computing XII, 2018
Proceedings of the Intelligent Distributed Computing XII, 2018
A Study of the Predictive Earliness of Traffic Flow Characterization for Software Defined Networking.
Proceedings of the Intelligent Distributed Computing XII, 2018
Automatic Fitting of Feature Points for Border Detection of Skin Lesions in Medical Images with Bat Algorithm.
Proceedings of the Intelligent Distributed Computing XII, 2018
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency.
Proceedings of the Intelligent Distributed Computing XII, 2018
Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics.
Proceedings of the Applications of Evolutionary Computation, 2018
Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
A simulation-based quantitative analysis on the topological heritability of Dandelion-encoded meta-heuristics for tree optimization problems.
Soft Comput., 2017
A novel BRAM content accessing and processing method based on FPGA configuration bitstream.
Microprocess. Microsystems, 2017
IEEE J. Sel. Areas Commun., 2017
A meta-heuristic learning approach for the non-intrusive detection of impersonation attacks in social networks.
Int. J. Bio Inspired Comput., 2017
Int. J. Bio Inspired Comput., 2017
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems.
Appl. Soft Comput., 2017
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems.
Appl. Soft Comput., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Wind Power Production Forecasting Using Ant Colony Optimization and Extreme Learning Machines.
Proceedings of the Intelligent Distributed Computing XI - Proceedings of the 11th International Symposium on Intelligent Distributed Computing, 2017
On the interplay between scheduling interval and beamwidth selection for low-latency and reliable V2V mmWave communications.
Proceedings of the 20th Conference on Innovations in Clouds, Internet and Networks, 2017
Wireless Network Optimization for Massive V2I Data Collection Using Multiobjective Harmony Search Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics.
Proceedings of the Harmony Search Algorithm, 2017
Optimal Phase Swapping in Low Voltage Distribution Networks Based on Smart Meter Data and Optimization Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
Proceedings of the Harmony Search Algorithm, 2017
Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks.
Proceedings of the Harmony Search Algorithm, 2017
Quantitative Analysis and Performance Study of Ant Colony Optimization Models Applied to Multi-mode Resource Constraint Project Scheduling Problems.
Proceedings of the Harmony Search Algorithm, 2017
An Analysis of Coalition-Competition Pricing Strategies for Multi-operator Mobile Traffic Offloading Using Bi-objective Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
Cost-Efficient Selective Network Caching in Large-Area Vehicular Networks Using Multi-objective Heuristics.
Proceedings of the Harmony Search Algorithm, 2017
A Grouping Harmony Search Algorithm for Assigning Resources to Users in WCDMA Mobile Networks.
Proceedings of the Harmony Search Algorithm, 2017
KETpic-Matlab Toolbox for LaTeX High-Quality Graphical Artwork in Educational Materials on Bézier Curve Algorithms at a Master Level.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
Proceedings of the 2017 European Conference on Networks and Communications, 2017
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Nature-inspired approaches for distance metric learning in multivariate time series classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A local search method for graph clustering heuristics based on partitional Distribution learning.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
A novel Coral Reefs Optimization algorithm with substrate layers for optimal battery scheduling optimization in micro-grids.
Soft Comput., 2016
Synchronization of faulty processors in coarse-grained TMR protected partially reconfigurable FPGA designs.
Reliab. Eng. Syst. Saf., 2016
A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria.
Expert Syst. Appl., 2016
Identifying recommendation opportunities for computer-supported collaborative environments.
Expert Syst. J. Knowl. Eng., 2016
A feature selection method for author identification in interactive communications based on supervised learning and language typicality.
Eng. Appl. Artif. Intell., 2016
Beamwidth Optimization in Millimeter Wave Small Cell Networks with Relay Nodes: A Swarm Intelligence Approach.
CoRR, 2016
A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines.
Concurr. Comput. Pract. Exp., 2016
Understanding daily mobility patterns in urban road networks using traffic flow analytics.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift.
Proceedings of the Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing, 2016
On the Application of Bio-inspired Heuristics for Network Routing with Multiple QoS Constraints.
Proceedings of the Intelligent Distributed Computing X - Proceedings of the 10th International Symposium on Intelligent Distributed Computing, 2016
Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
Proceedings of the International Conference on Human-Computer Interaction in Aerospace, 2016
Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016
A novel adaptive density-based ACO algorithm with minimal encoding redundancy for clustering problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Community detection in graphs based on surprise maximization using firefly heuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Design and Implementation of an Extended Corporate CRMDatabase System with Big Data Analytical Functionalities.
J. Univers. Comput. Sci., 2015
On the application of multi-objective harmony search heuristics to the predictive deployment of firefighting aircrafts: a realistic case study.
Int. J. Bio Inspired Comput., 2015
On the heritability of dandelion-encoded harmony search heuristics for tree optimization problems.
Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015
A Harmony Search Approach for the Selective Pick-Up and Delivery Problem with Delayed Drop-Off.
Proceedings of the Harmony Search Algorithm, 2015
Dandelion-Encoded Harmony Search Heuristics for Opportunistic Traffic Offloading in Synthetically Modeled Mobile Networks.
Proceedings of the Harmony Search Algorithm, 2015
On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids.
Proceedings of the Advances in Artificial Intelligence, 2015
2014
Wirel. Networks, 2014
Compact and Fast Fault Injection System for Robustness Measurements on SRAM-Based FPGAs.
IEEE Trans. Ind. Electron., 2014
A Coral Reefs Optimization algorithm for optimal mobile network deployment with electromagnetic pollution control criterion.
Appl. Soft Comput., 2014
A novel range-free localization algorithm to turn connectivity traces and motion data into localization information.
Ad Hoc Networks, 2014
A Novel Harmony Search Algorithm for One-Year-Ahead Energy Demand Estimation Using Macroeconomic Variables.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
A Bi-objective Harmony Search Approach for Deploying Cost-Effective Multi-hop Communications over Large-Area Wildfires.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
A Meta-heuristically Optimized Fuzzy Approach towards Multi-metric Security Risk Assessment in Heterogeneous System of Systems.
Proceedings of the PECCS 2014, 2014
On Interlinking Linked Data Sources by Using Ontology Matching Techniques and the Map-Reduce Framework.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
On a Machine Learning Approach for the Detection of Impersonation Attacks in Social Networks.
Proceedings of the Intelligent Distributed Computing VIII, 2014
Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database.
Proceedings of the Intelligent Distributed Computing VIII, 2014
2013
A novel heuristic approach for distance- and connectivity-based multihop node localization in wireless sensor networks.
Soft Comput., 2013
Fuzzy-Logic Based Framework for Spectrum Availability Assessment in Cognitive Radio Systems.
IEEE J. Sel. Areas Commun., 2013
On the Design of a Novel Joint Network-Channel Coding Scheme for the Multiple Access Relay Channel.
IEEE J. Sel. Areas Commun., 2013
One-way urban traffic reconfiguration using a multi-objective harmony search approach.
Expert Syst. Appl., 2013
A multi-objective grouping Harmony Search algorithm for the optimal distribution of 24-hour medical emergency units.
Expert Syst. Appl., 2013
On the design of a novel two-objective harmony search approach for distance- and connectivity-based localization in wireless sensor networks.
Eng. Appl. Artif. Intell., 2013
Eng. Appl. Artif. Intell., 2013
Efficient citywide planning of open WiFi access networks using novel grouping harmony searchheuristics.
Eng. Appl. Artif. Intell., 2013
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013
Proceedings of the 78th IEEE Vehicular Technology Conference, 2013
2012
Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search - Extreme Learning Machine Approach.
IEEE J. Sel. Top. Signal Process., 2012
IEEE Commun. Lett., 2012
A novel grouping harmony search algorithm for the multiple-type access node location problem.
Expert Syst. Appl., 2012
A hybrid harmony search algorithm for the spread spectrum radar polyphase codes design problem.
Expert Syst. Appl., 2012
Analysis of quantization effects on the performance of cooperative MIMO techniques in wireless networks.
EURASIP J. Wirel. Commun. Netw., 2012
EURASIP J. Wirel. Commun. Netw., 2012
A comparative study of two hybrid grouping evolutionary techniques for the capacitated P-median problem.
Comput. Oper. Res., 2012
Centralized and distributed spectrum channel assignment in cognitive wireless networks: A Harmony Search approach.
Appl. Soft Comput., 2012
Robustness of different TMR granularities in shared wishbone architectures on SRAM FPGA.
Proceedings of the 2012 International Conference on Reconfigurable Computing and FPGAs, 2012
Proceedings of the 22nd International Conference on Field Programmable Logic and Applications (FPL), 2012
Differentiation in the Cloud: Methodology for Integrating Customer Values in Experience Design.
Proceedings of the 38th Euromicro Conference on Software Engineering and Advanced Applications, 2012
On the design of an heuristically optimized multiband spectrum sensing approach for cognitive radio systems.
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
A heuristically-driven multi-criteria tool for the design of efficient open WiFi access networks.
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
A preliminary approach to near-optimal multi-hop capacitated network design using grouping-dandelion encoded heuristics.
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
A discrete Particle Swarm Optimization Algorithm for Mobile Network Deployment Problems.
Proceedings of the 17th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2012
2011
Iterative Fusion of Distributed Decisions over the Gaussian Multiple-Access Channel Using Concatenated BCH-LDGM Codes.
EURASIP J. Wirel. Commun. Netw., 2011
Iterative power and subcarrier allocation in rate-constrained orthogonal multicarrier downlink systems based on hybrid harmony search heuristics.
Eng. Appl. Artif. Intell., 2011
Proceedings of the 2011 International ITG Workshop on Smart Antennas, 2011
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
Joint Non-Binary LDPC-BICM and Network Coding with Iterative Decoding for the Multiple Access Relay Channel.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
On the Application of a Novel Hybrid Harmony Search Algorithm to the Radar Polyphase Code Design Problem.
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
Social Acceptance and Usage Experiences from a Mobile Location-Aware Service Environment.
Proceedings of the Mobile Lightweight Wireless Systems, 2011
Concurrent and Distributed Projection through Local Interference for Wireless Sensor Networks.
Proceedings of the Mobile Lightweight Wireless Systems, 2011
Proceedings of the Mobile Lightweight Wireless Systems, 2011
A Novel Grouping Heuristic Algorithm for the Switch Location Problem Based on a Hybrid Dual Harmony Search Technique.
Proceedings of the Advances in Computational Intelligence, 2011
On the application of a hybrid Harmony Search algorithm to node localization in anchor-based Wireless Sensor Networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Decision-making system for obtaining spectrum availability information in opportunistic networks.
Proceedings of the CogART 2011, 2011
2010
Joint Source-Channel Coding of Sources with Memory using Turbo Codes and the Burrows-Wheeler Transform.
IEEE Trans. Commun., 2010
Turbo joint source-channel coding of non-uniform memoryless sources in the bandwidth-limited regime.
IEEE Commun. Lett., 2010
Erratum to "serially-concatenated LDGM codes for correlated sources over Gaussian broadcast channels".
IEEE Commun. Lett., 2010
On the design of frequency-switching patterns for distributed data fusion over relay networks.
Proceedings of the 2010 International ITG Workshop on Smart Antennas, 2010
Enhanced sensing error probability estimation for iterative data fusion in the low SNR regime.
Proceedings of the 2010 International ITG Workshop on Smart Antennas, 2010
On the Design of a Scalable Multimedia Streaming System based on Receiver-driven Flow and Congestion Awareness.
Proceedings of the SIGMAP 2010, 2010
Joint Turbo Coding and Source-Controlled Modulation of Cycle-Stationary Sources in the Bandwidth-Limited Regime.
Proceedings of the Mobile Lightweight Wireless Systems, 2010
On the Application of a Novel Grouping Harmony Search Algorithm to the Switch Location Problem.
Proceedings of the Mobile Lightweight Wireless Systems, 2010
Harmony Search Heuristics for Quasi-asynchronous CDMA Detection with M-PAM Signalling.
Proceedings of the Mobile Lightweight Wireless Systems, 2010
On the Performance of Single LDGM Codes for Iterative Data Fusion over the Multiple Access Channel.
Proceedings of the Multiple Access Communications, Third International Workshop, 2010
A novel CAM-based traffic light preemption algorithm for efficient guidance of emergency vehicles.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010
A novel Harmony Search based spectrum allocation technique for cognitive radio networks.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
2009
Performance Analysis of a Novel Dual-Frequency Multiple Access Relay Transmission Scheme.
Int. J. Commun. Netw. Syst. Sci., 2009
Serially-concatenated LDGM codes for correlated sources over gaussian broadcast channels.
IEEE Commun. Lett., 2009
H.264/SVC rate-resiliency tradeoff in faulty communications through 802.16e railway networks.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009
A novel heuristic algorithm for multiuser detection in synchronous CDMA wireless sensor networks.
Proceedings of the International Conference on Ultra Modern Telecommunications, 2009
Fixed-complexity regularized vector precoding for the multiuser MIMO downlink channel.
Proceedings of the 17th European Signal Processing Conference, 2009
Joint Source-Channel-Network Decoding and Blind Estimation of Correlated Sensors Using Concatenated Zigzag Codes.
Proceedings of the Ad-Hoc, Mobile and Wireless Networks, 8th International Conference, 2009
Proceedings of the Intelligent Technical Systems, 2009
2008
Improved dual frequency multiple access relay scheme for spatially correlated sources.
Proceedings of the 2008 International ITG Workshop on Smart Antennas, 2008
Design, Simulation and Implementation of a Channel Equalizer for DVB-T On-channel Repeaters.
Proceedings of the 3rd International Conference on Systems and Networks Communications, 2008
2007
On Combining Distributed Joint Source-Channel-Network Coding and Turbo Equalization in Multiple Access Relay Networks.
Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, 2007
Proceedings of the IEEE 18th International Symposium on Personal, 2007
Diversity Gain Analysis of a Novel Dual-Frequency Multiple Access Relay Transmission Scheme.
Proceedings of the 4th IEEE International Symposium on Wireless Communication Systems, 2007
Proceedings of the Embedded Software and Systems, [Third] International Conference, 2007
Proceedings of IEEE International Conference on Communications, 2007
Proceedings of the 15th European Signal Processing Conference, 2007
IR-UWB binary communications for sources with nonequal probabilities.
Proceedings of the Sixth IASTED International Conference on Communications, 2007
2005
Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver.
EURASIP J. Wirel. Commun. Netw., 2005