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ORCIDSimone A. Ludwig
Simone Anja Ludwig
Person information
- affiliation: North Dakota State University, Fargo, ND, USA
- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2024
[j37]Rahil Ashtari Mahini, Gerardo M. Casañola-Martín, Simone A. Ludwig, Bakhtiyor F. Rasulev
:
MixtureMetrics: A comprehensive package to develop additive numerical features to describe complex materials for machine learning modeling. SoftwareX 28: 101911 (2024)- 2023
- [j36]Shuomang Shi, Baiyu Jiang, Simone A. Ludwig, Luyang Xu, Hao Wang, Ying Huang, Fei Yan:
Optimization for Pipeline Corrosion Sensor Placement in Oil-Water Two-Phase Flow Using CFD Simulations and Genetic Algorithm. Sensors 23(17): 7379 (2023) - [c85]Hussain Alibrahim, Simone A. Ludwig:
Image Forgery Detection Algorithm Using Particle Swarm Optimization. SSCI 2023: 579-586 - 2022
- [j35]Simone A. Ludwig:
Performance Analysis of Data Fusion Methods Applied to Epileptic Seizure Recognition. J. Artif. Intell. Soft Comput. Res. 12(1): 5-17 (2022) - [c84]Rafa Alenezi, Simone A. Ludwig:
Detecting Pneumonia Based On Chest X-Ray Images Using Reinforcement Learning. AIKE 2022: 67-73 - [c83]Simone A. Ludwig:
Explainability Using SHAP for Epileptic Seizure Recognition. IEEE Big Data 2022: 5305-5311 - [c82]Cristina Ticala, Camelia-Mihaela Pintea, Simone A. Ludwig, Mara Hajdu-Macelaru, Oliviu Matei, Petrica C. Pop:
Fuzzy Index Evaluating Image Edge Detection obtained with Ant Colony Optimization. FUZZ-IEEE 2022: 1-6 - 2021
- [j34]Arighna Roy, Simone A. Ludwig:
Genre based hybrid filtering for movie recommendation engine. J. Intell. Inf. Syst. 56(3): 485-507 (2021) - [j33]Simone A. Ludwig:
Investigation of Orientation Estimation of Multiple IMUs. Unmanned Syst. 9(4): 283-291 (2021) - [c81]Joshua Aaron DeNio, Simone A. Ludwig:
Improving Transaction Speed and Scalability in Blockchain Systems. IEEE BigData 2021: 3619-3628 - [c80]Yusaku Nitta, Mitchell Borders, Simone A. Ludwig:
Analysis of Gene Expression Cancer Data Set: Classification of TCGA Pan-cancer HiSeq Data. IEEE BigData 2021: 4745-4752 - [c79]Hussain Alibrahim, Simone A. Ludwig:
Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization. CEC 2021: 1551-1559 - [c78]Rafa Alenezi, Simone A. Ludwig:
Explainability of Cybersecurity Threats Data Using SHAP. SSCI 2021: 1-10 - [c77]Rafa Alenezi, Simone A. Ludwig:
Classifying DNS Tunneling Tools For Malicious DoH Traffic. SSCI 2021: 1-9 - [c76]Hussain Alibrahim, Simone A. Ludwig:
Investigation of Domain Name System Attack Clustering using Semi-Supervised Learning with Swarm Intelligence Algorithms. SSCI 2021: 1-9 - [c75]Hussain Alibrahim, Simone A. Ludwig:
Image Encryption Algorithm based on Particle Swarm Optimization and Chaos Logistic Map. SSCI 2021: 1-8 - 2020
- [j32]Jamil Al-Sawwa, Simone A. Ludwig:
Parallel particle swarm optimization classification algorithm variant implemented with Apache Spark. Concurr. Comput. Pract. Exp. 32(2) (2020) - [j31]Arighna Roy, Simone A. Ludwig:
Recovery algorithm to correct silent data corruption of synaptic storage in convolutional neural networks. Int. J. Hybrid Intell. Syst. 16(3): 177-187 (2020) - [j30]Jamil Al-Sawwa, Simone A. Ludwig:
Performance evaluation of a cost-sensitive differential evolution classifier using spark - Imbalanced binary classification. J. Comput. Sci. 40: 101065 (2020) - [c74]Simone A. Ludwig:
Multi-label Classification for Epileptic Seizure Recognition: Deep Neural Network Ensemble versus Choquet Fuzzy Integral Fusion. SSCI 2020: 836-841 - [c73]Sayantica Pattanayak, Simone A. Ludwig:
Analyzing Privacy of Time Series Data Using Substitute Auto-encoder Neural Network. SSCI 2020: 1411-1418 - [c72]Mohammadreza Ramzanpour, Simone A. Ludwig:
Association Rule Mining Based Algorithm for Recovery of Silent Data Corruption in Convolutional Neural Network Data Storage. SSCI 2020: 3057-3064
2010 – 2019
- 2019
- [j29]Simone A. Ludwig:
Applying a Neural Network Ensemble to Intrusion Detection. J. Artif. Intell. Soft Comput. Res. 9(3): 177-188 (2019) - [j28]Apeksha Shewalkar, Deepika Nyavanandi, Simone A. Ludwig:
Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU. J. Artif. Intell. Soft Comput. Res. 9(4): 235-245 (2019) - [c71]Md Faisal Kabir, Simone A. Ludwig:
Classification Models and Survival Analysis for Prostate Cancer Using RNA Sequencing and Clinical Data. IEEE BigData 2019: 2736-2745 - [c70]Simone A. Ludwig:
Comparison of Time Series Approaches applied to Greenhouse Gas Analysis: ANFIS, RNN, and LSTM. FUZZ-IEEE 2019: 1-6 - [c69]Sayantica Pattanayak, Simone A. Ludwig:
Improving Data Privacy Using Fuzzy Logic and Autoencoder Neural Network. FUZZ-IEEE 2019: 1-6 - [c68]Jamil Al-Sawwa, Simone A. Ludwig:
A Cost-Sensitive Centroid-based Differential Evolution Classification Algorithm applied to Cancer Data Sets. SSCI 2019: 2514-2521 - 2018
- [j27]Goutham Miryala, Simone A. Ludwig:
Comparing Spark with MapReduce: Glowworm Swarm Optimization Applied to Multimodal Functions. Int. J. Swarm Intell. Res. 9(3): 1-22 (2018) - [j26]Deepak Dawar, Simone A. Ludwig:
Effect of Strategy Adaptation on Differential Evolution in Presence and Absence of Parameter Adaptation: An Investigation. J. Artif. Intell. Soft Comput. Res. 8(3): 211-235 (2018) - [c67]Md Faisal Kabir, Simone A. Ludwig, Abu Saleh Abdullah:
Rule Discovery from Breast Cancer Risk Factors using Association Rule Mining. IEEE BigData 2018: 2433-2441 - [c66]Simone A. Ludwig:
Optimization of Control Parameter for Filter Algorithms for Attitude and Heading Reference Systems. CEC 2018: 1-8 - [c65]Simone A. Ludwig:
Genetic Algorithm Based Kalman Filter Adaptation Algorithm for Magnetic and Inertial Measurement Unit. CEC 2018: 1-7 - [c64]Md Faisal Kabir, Simone A. Ludwig:
Classification of Breast Cancer Risk Factors Using Several Resampling Approaches. ICMLA 2018: 1243-1248 - [c63]Jamil Al-Sawwa, Simone A. Ludwig:
Centroid-Based Particle Swarm Optimization Variant for Data Classification. SSCI 2018: 672-679 - 2017
- [j25]Min Chen, Simone A. Ludwig:
Color Image Segmentation Using Fuzzy C-Regression Model. Adv. Fuzzy Syst. 2017: 4582948:1-4582948:15 (2017) - [j24]Deepak Dawar, Simone A. Ludwig:
A Differential Evolution Based Multiclass Vehicle Detector and Classifier for Urban Environments. Int. J. Swarm Intell. Res. 8(3): 19-42 (2017) - [j23]Simone A. Ludwig, Jun Kong:
Investigation of different classifiers and channel configurations of a mobile P300-based brain-computer interface. Medical Biol. Eng. Comput. 55(12): 2143-2154 (2017) - [c62]Gongyi Xia, Simone A. Ludwig:
Object tracking using Particle Swarm Optimization and Earth mover's distance. CEC 2017: 193-200 - [c61]Camelia-Mihaela Pintea, Simone A. Ludwig, Petrica C. Pop, Oliviu Matei:
Similarities and sensitivity: Immune and ant algorithms applied towards robotics. CEC 2017: 1015-1020 - [c60]Sayantica Pattanayak, Simone A. Ludwig:
Encryption Based on Neural Cryptography. HIS 2017: 321-330 - [c59]Stjepan Picek, Annelie Heuser, Alan Jovic, Simone A. Ludwig, Sylvain Guilley, Domagoj Jakobovic, Nele Mentens:
Side-channel analysis and machine learning: A practical perspective. IJCNN 2017: 4095-4102 - [c58]Simone A. Ludwig:
Intrusion detection of multiple attack classes using a deep neural net ensemble. SSCI 2017: 1-7 - 2016
- [j22]Simone A. Ludwig:
Anthony Brabazon, Michael O'Neill, Sean McGarraghy: Natural computing algorithms - Springer, 2015, 554 pp, ISBN: 978-3-662-43631-8. Genet. Program. Evolvable Mach. 17(2): 193-195 (2016) - [j21]Ibrahim Aljarah, Simone A. Ludwig:
A Scalable MapReduce-enabled Glowworm Swarm Optimization Approach for High Dimensional Multimodal Functions. Int. J. Swarm Intell. Res. 7(1): 32-54 (2016) - [c57]Simone A. Ludwig:
Improved glowworm swarm optimization algorithm applied to multi-level thresholding. CEC 2016: 1533-1540 - [c56]Simone A. Ludwig:
Running krill herd algorithm on Hadoop: A performance study. CEC 2016: 2504-2510 - [c55]Gongyi Xia, Simone A. Ludwig:
Object-tracking based on particle filter using particle swarm optimization with density estimation. CEC 2016: 4151-4158 - 2015
- [j20]Simone A. Ludwig, Deepak Dawar:
Parallelization of Enhanced Firework Algorithm using MapReduce. Int. J. Swarm Intell. Res. 6(2): 32-51 (2015) - [j19]Simone A. Ludwig:
MapReduce-based fuzzy c-means clustering algorithm: implementation and scalability. Int. J. Mach. Learn. Cybern. 6(6): 923-934 (2015) - [c54]Simone A. Ludwig, Kevin Bauer:
Immune network algorithm applied to the optimization of composite SaaS in Cloud computing. CEC 2015: 3042-3048 - [c53]Deepak Dawar, Simone A. Ludwig:
A differential evolution based axle detector for robust vehicle classification. CEC 2015: 3072-3079 - [c52]Simone A. Ludwig, Domagoj Jakobovic, Stjepan Picek:
Analyzing gene expression data: Fuzzy decision tree algorithm applied to the classification of cancer data. FUZZ-IEEE 2015: 1-8 - [c51]Camelia-Mihaela Pintea, Simone A. Ludwig, Gloria Cerasela Crisan:
Adaptability of a discrete PSO algorithm applied to the Traveling Salesman Problem with fuzzy data. FUZZ-IEEE 2015: 1-6 - 2014
- [j18]Min Chen, Simone A. Ludwig:
A fuzzy discrete particle swarm optimization classifier for rule classification. Int. J. Hybrid Intell. Syst. 11(3): 145-156 (2014) - [j17]Min Chen, Simone A. Ludwig:
Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimal Number of Clusters. J. Artif. Intell. Soft Comput. Res. 4(1): 43-56 (2014) - [j16]Simone A. Ludwig:
Repulsive Self-Adaptive Acceleration Particle Swarm Optimization Approach. J. Artif. Intell. Soft Comput. Res. 4(3): 189-204 (2014) - [c50]Min Chen, Simone A. Ludwig:
Fuzzy clustering using automatic particle swarm optimization. FUZZ-IEEE 2014: 1545-1552 - [c49]Simone A. Ludwig:
Clonal selection based fuzzy C-means algorithm for clustering. GECCO 2014: 105-112 - [c48]Simone A. Ludwig:
MapReduce-based optimization of overlay networks using particle swarm optimization. GECCO 2014: 1031-1038 - [c47]Deepak Dawar, Simone A. Ludwig:
Differential evolution with dither and annealed scale factor. SDE 2014: 1-8 - [c46]Nailah Al-Madi, Ibrahim Aljarah, Simone A. Ludwig:
Parallel glowworm swarm optimization clustering algorithm based on MapReduce. SIS 2014: 189-196 - 2013
- [j15]Meng Dong, Mark G. Eramian, Simone A. Ludwig, Roger A. Pierson:
Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns. Medical Biol. Eng. Comput. 51(4): 405-416 (2013) - [j14]Simone A. Ludwig:
Memetic algorithms applied to the optimization of workflow compositions. Swarm Evol. Comput. 10: 31-40 (2013) - [c45]Ibrahim Aljarah, Simone A. Ludwig:
MapReduce intrusion detection system based on a particle swarm optimization clustering algorithm. IEEE Congress on Evolutionary Computation 2013: 955-962 - [c44]Ibrahim Aljarah, Simone A. Ludwig:
A new clustering approach based on Glowworm Swarm Optimization. IEEE Congress on Evolutionary Computation 2013: 2642-2649 - [c43]Nailah Al-Madi, Simone A. Ludwig:
Improving genetic programming classification for binary and multiclass datasets. CIDM 2013: 166-173 - [c42]Mahsa Naseri, Simone A. Ludwig:
Automatic service composition using POMDP and provenance data. CIDM 2013: 246-253 - [c41]Simone A. Ludwig:
Towards a repulsive and adaptive particle swarm optimization algorithm. GECCO (Companion) 2013: 5-6 - [c40]Nailah Al-Madi, Simone A. Ludwig:
Segment-based genetic programming. GECCO (Companion) 2013: 133-134 - [c39]Ibrahim Aljarah, Simone A. Ludwig:
Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduce. GECCO (Companion) 2013: 169-170 - [c38]Simone A. Ludwig:
Particle Swarm Optimization Approach with Parameter-Wise Hill-Climbing Heuristic for Task Allocation of Workflow Applications on the Cloud. ICTAI 2013: 201-206 - [c37]Mahsa Naseri, Simone A. Ludwig:
Extracting workflow structures through Bayesian learning and provenance data. ISDA 2013: 319-324 - [c36]Nailah Al-Madi, Simone A. Ludwig:
Scaling Genetic Programming for data classification using MapReduce methodology. NaBIC 2013: 132-139 - [c35]Min Chen, Simone A. Ludwig:
Fuzzy decision tree using soft discretization and a genetic algorithm based feature selection method. NaBIC 2013: 238-244 - [c34]Ibrahim Aljarah, Simone A. Ludwig:
A MapReduce based glowworm swarm optimization approach for multimodal functions. SIS 2013: 22-31 - 2012
- [c33]Simone A. Ludwig:
Applying Particle Swarm Optimization to Quality-of-Service-Driven Web Service Composition. AINA 2012: 613-620 - [c32]Simone A. Ludwig:
Clonal selection based genetic algorithm for workflow service selection. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c31]Thomas Schoene, Simone A. Ludwig, Raymond J. Spiteri:
Step-optimized Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2012: 1-9 - [c30]Min Chen, Simone A. Ludwig:
Fuzzy-guided genetic algorithm applied to the web service selection problem. FUZZ-IEEE 2012: 1-8 - [c29]Nailah Al-Madi, Simone A. Ludwig:
Adaptive genetic programming applied to classification in data mining. NaBIC 2012: 79-85 - [c28]Ibrahim Aljarah, Simone A. Ludwig:
Parallel particle swarm optimization clustering algorithm based on MapReduce methodology. NaBIC 2012: 104-111 - [c27]Min Chen, Simone A. Ludwig:
Discrete Particle Swarm Optimization with local search strategy for Rule Classification. NaBIC 2012: 162-167 - [p2]Simone A. Ludwig, Thomas Schoene:
Matchmaking in Multi-attribute Auctions using a Genetic Algorithm and a Particle Swarm Approach. New Trends in Agent-Based Complex Automated Negotiations 2012: 81-98 - 2011
- [j13]Simone A. Ludwig, Azin Moallem:
Swarm Intelligence Approaches for Grid Load Balancing. J. Grid Comput. 9(3): 279-301 (2011) - [c26]Simone A. Ludwig:
Memetic algorithm for web service selection. BADS@ICAC 2011: 1-8 - [c25]Simone A. Ludwig, Thomas Schoene:
Web service selection using particle swarm optimization and genetic algorithms. NaBIC 2011: 225-230 - [c24]Simone A. Ludwig:
Nature-inspired reconfiguration of overlay networks. NaBIC 2011: 415-420 - [c23]Simone A. Ludwig:
Single-objective versus multi-objective Genetic algorithms for workflow composition based on service level agreements. SOCA 2011: 1-8 - 2010
- [j12]Simone A. Ludwig, Stefanie Roos, Monique Frize, Nicole Yu:
Medical Outcome Prediction for Intensive Care Unit Patients. Int. J. Comput. Model. Algorithms Medicine 1(4): 19-30 (2010) - [j11]Simone A. Ludwig:
Comparison of a Deductive Database with a Semantic Web reasoning engine. Knowl. Based Syst. 23(6): 634-642 (2010) - [c22]Mahsa Naseri, Simone A. Ludwig:
A multi-functional architecture addressing workflow and service challenges using provenance data. PIKM 2010: 91-94 - [c21]Simone A. Ludwig:
Prediction of breast cancer biopsy outcomes using a distributed genetic programming approach. IHI 2010: 694-699 - [c20]Simone A. Ludwig, Stefanie Roos:
Prognosis of Breast Cancer Using Genetic Programming. KES (4) 2010: 536-545
2000 – 2009
- 2009
- [j10]Simone A. Ludwig:
Sensor Grid Architecture for Remote Patient Health Care Monitoring. Int. J. Semantic Comput. 3(3): 291-309 (2009) - [c19]Simone A. Ludwig, Venkat Pulimi, Andriy Hnativ:
Fuzzy approach for the evaluation of trust and reputation of services. FUZZ-IEEE 2009: 115-120 - [c18]Simone A. Ludwig, Andriy Hnativ:
Evaluation of trust in an ecommerce multi-agent system using fuzzy reasoning. FUZZ-IEEE 2009: 757-763 - [c17]Azin Moallem, Simone A. Ludwig:
Using artificial life techniques for distributed grid job scheduling. SAC 2009: 1091-1097 - [c16]Simone A. Ludwig, Craig Thompson, Kristofor Amundson:
Performance Analysis of a Deductive Database with a Semantic Web Reasoning Engine: ConceptBase and Racer. SEKE 2009: 688-693 - [c15]Mahsa Naseri, Simone A. Ludwig:
QoS-Aware Service Selection for Abstract Workflows using Provenance Data and Fuzzy Constraint Satisfaction Modeling. SWWS 2009: 114-120 - [e1]Mark Burgin, Masud H. Chowdhury, Chan H. Ham, Simone A. Ludwig, Weilian Su, Sumanth Yenduri:
CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes. IEEE Computer Society 2009, ISBN 978-0-7695-3507-4 [contents] - 2008
- [j9]Simone A. Ludwig, Omer F. Rana:
Performance evaluation of semantic registries: OWLJessKB and instanceStore. Serv. Oriented Comput. Appl. 2(1): 41-46 (2008) - [c14]Simone A. Ludwig:
Fuzzy match score of semantic service match. FUZZ-IEEE 2008: 193-199 - [c13]Tapashree Guha, Simone A. Ludwig:
Comparison of Service Selection Algorithms for Grid Services: Multiple Objective Particle Swarm Optimization and Constraint Satisfaction Based Service Selection. ICTAI (1) 2008: 172-179 - [c12]Simone A. Ludwig:
Agent-Based Assistant for e-Negotiations. ISMIS 2008: 514-524 - 2007
- [j8]David Bell, Simone A. Ludwig, Mark Lycett:
Enterprise application reuse: Semantic discovery of business grid services. Inf. Technol. Manag. 8(3): 223-239 (2007) - [c11]Neil Chapman, Simone A. Ludwig, William Naylor, Julian A. Padget, Omer F. Rana:
Matchmaking Support for Dynamic Workflow Composition. eScience 2007: 371-378 - [c10]Simone A. Ludwig, S. M. S. Reyhani:
Selection Algorithm for Grid Services based on a Quality of Service Metric. HPCS 2007: 13 - [c9]Simone A. Ludwig, Omer F. Rana:
Comparing semantic registries: OWLJessKB and InstanceStore. SOCP@HPDC 2007: 39-44 - [c8]Simone A. Ludwig:
Weight Assignment of Semantic Match Using User Values and a Fuzzy Approach. ICSOC 2007: 410-415 - [p1]Simone A. Ludwig, S. M. S. Reyhani:
Context-Aware Ontology Selection Framework. Ontologies 2007: 607-634 - 2006
- [j7]Simone A. Ludwig, Omer F. Rana, Julian A. Padget, William Naylor:
Matchmaking Framework for Mathematical Web Services. J. Grid Comput. 4(1): 33-48 (2006) - [j6]Simone A. Ludwig, Omer F. Rana, William Naylor, Julian A. Padget:
Mathematical Service Discovery: Architecture, Implementation and Performance. Scalable Comput. Pract. Exp. 7(2) (2006) - [j5]S. M. S. Reyhani, Simone A. Ludwig:
An Implanted Spherical Head Model Exposed to Electromagnetic Fields at a Mobile Communication Frequency. IEEE Trans. Biomed. Eng. 53(10): 2092-2101 (2006) - [j4]Simone A. Ludwig, S. M. S. Reyhani:
Semantic approach to service discovery in a Grid environment. J. Web Semant. 4(1): 1-13 (2006) - [i1]Jesus Rios, Stefan Strecker, JinBeak Kim, Simone A. Ludwig, Eva Chen:
Experimental research on bilateral negotiations. Negotiation and Market Engineering 2006 - 2005
- [j3]David Bell, Simone A. Ludwig:
Grid Service Discovery in the Financial Markets Sector. J. Comput. Inf. Technol. 13(4): 265-270 (2005) - [j2]Simone A. Ludwig, S. M. S. Reyhani:
Introduction of semantic matchmaking to Grid computing. J. Parallel Distributed Comput. 65(12): 1533-1541 (2005) - [c7]Simone A. Ludwig, Omer F. Rana, William Naylor, Julian A. Padget:
Mathematical matchmaker for numeric and symbolic services. AAMAS 2005: 133-134 - [c6]Simone A. Ludwig, Omer F. Rana, William Naylor, Julian A. Padget:
Agent-based matchmaking of mathematical web services. AAMAS 2005: 1277-1278 - [c5]David Bell, Simone A. Ludwig, Mark Lycett:
State Specialization in a Service Discovery Ontology: A Financial Services Business Grid. IASSE 2005: 66-71 - [c4]Simone A. Ludwig, S. M. S. Reyhani:
Enhanced discovery of web services using semantic context descriptions. ICETE 2005: 193-196 - [c3]Ali Shaikh Ali, Simone A. Ludwig, Omer F. Rana:
A Cognitive Trust-Based Approach forWeb Service Discovery and Selection. ECOWS 2005: 38-49 - [c2]Simone A. Ludwig, William Naylor, Omer F. Rana, Julian A. Padget:
Matchmaking of Mathematical Web Services. PPAM 2005: 809-816 - 2004
- [b1]Simone Anja Ludwig:
A semantic approach to service discovery in a grid environment. Brunel University London, UK, 2004 - [j1]Simone A. Ludwig, Omer F. Rana, Daniel Veit:
MatchMaking Shell. J. Decis. Syst. 13(4): 461-475 (2004) - 2002
- [c1]Simone A. Ludwig, P. van Santen:
Position Paper: A Grid Service Discovery Matchmaker Based on Ontology Description. EuroWeb 2002
Coauthor Index
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