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ORCIDDavid J. Russomanno
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2010 – 2019
- 2013
[j16]Jahangheer S. Shaik, Mohammed Yeasin, David J. Russomanno:
Evaluation of supervised and unsupervised 3D star visualisation algorithms. Int. J. Data Min. Bioinform. 8(4): 443-461 (2013)- 2012
- [j15]Alex Galvis, David J. Russomanno:
Advancing Profiling Sensors with a Wireless Approach. Sensors 12(12): 16144-16167 (2012) - [c21]Cartik R. Kothari, Joseph Qualls, David J. Russomanno:
An ontology-based data fusion framework for profiling sensors. EIT 2012: 1-6 - 2011
- [j14]Joseph Qualls, David J. Russomanno:
Ontological Problem-Solving Framework for Dynamically Configuring Sensor Systems and Algorithms. Sensors 11(3): 3177-3204 (2011) - [j13]Joseph Qualls, David J. Russomanno:
Ontological Problem-Solving Framework for Assigning Sensor Systems and Algorithms to High-Level Missions. Sensors 11(9): 8370-8394 (2011) - 2010
- [j12]Joseph Qualls, David J. Russomanno, Amy de Jongh Curry, Deepika Konakanchi:
Visualisation of defibrillation simulation using multiple transthoracic electrodes. Int. J. Comput. Aided Eng. Technol. 2(1): 66-77 (2010) - [j11]David J. Russomanno, Yury Tritenko:
A Geographic Information System Framework for the Management of Sensor Deployments. Sensors 10(5): 4281-4295 (2010) - [c20]Joseph Qualls, David J. Russomanno, Vinay Bollu:
Integration of a Profiling Sensor onto Sensor Fabric. IKE 2010: 250-254
2000 – 2009
- 2009
- [j10]J. Caleb Goodwin, David J. Russomanno:
Ontology integration within a service-oriented architecture for expert system applications using sensor networks. Expert Syst. J. Knowl. Eng. 26(5): 409-432 (2009) - [r2]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George, David J. Russomanno:
CNS Tumor Prediction Using Gene Expression Data Part I. Encyclopedia of Artificial Intelligence 2009: 304-311 - [r1]Atiq Islam, Khan M. Iftekharuddin, E. Olusegun George, David J. Russomanno:
CNS Tumor Prediction Using Gene Expression Data Part II. Encyclopedia of Artificial Intelligence 2009: 312-317 - 2008
- [j9]Paraskevas Orfanidis, David J. Russomanno:
Preprocessing enhancements to improve data mining algorithms. Int. J. Bus. Intell. Data Min. 3(2): 196-211 (2008) - [j8]Cartik R. Kothari, David J. Russomanno:
Enhancing OWL Ontologies with Relation Semantics. Int. J. Softw. Eng. Knowl. Eng. 18(3): 327-356 (2008) - [j7]David J. Russomanno, Amy L. de Jongh Curry
, Galina S. Atanasova, Leslie C. Hunt, J. Caleb Goodwin:
DefibViz: A Visualization Tool for the Assessment of Electrode Parameters on Transthoracic Defibrillation Thresholds. IEEE Trans. Inf. Technol. Biomed. 12(1): 76-86 (2008) - [c19]Qizhi Qiu, David J. Russomanno:
Adding Semantics to Learning-Object Web Services. CSREA EEE 2008: 70-75 - [c18]Mohammed Yeasin, David J. Russomanno, Mohammad S. Sorower, M. Smith, Jahangheer S. Shaik:
Robust Classification of Objects using a Sparse Detector Sensor. IC-AI 2008: 742-748 - [c17]Joseph Qualls, David J. Russomanno, Amy de Jongh Curry, Deepika Konakanchi:
Visualization of Defibrillation Simulation Using Multiple Transthoracic Electrodes. MSV 2008: 136-141 - [c16]David J. Russomanno, Yury Tritenko, Qizhi Qiu:
A Web Service Interface for an Unattended Ground Sparse Sensor Detector. SWWS 2008: 204-209 - 2007
- [c15]Joseph Qualls, Max H. Garzon, David J. Russomanno:
Neural-based agents cooperate to survive in the defend and gather computer game. IEEE Congress on Evolutionary Computation 2007: 1398-1402 - [c14]David J. Russomanno, Anna Phillips-Lambert, J. Caleb Goodwin:
Data Visualization in the High-School Physics Classroom: Pathway to Engineering and Computer Science Careers? FECS 2007: 206-211 - [c13]Bhanu Vanteru, David J. Russomanno:
Extending Parallel Coordinates in the Visualization Toolkit. MSV 2007: 55-59 - [c12]Joseph Qualls, David J. Russomanno, J. Caleb Goodwin:
Hinge-Sliced Visualization of Defibrillation-Induced Voltage Gradients. MSV 2007: 74-78 - [c11]J. Caleb Goodwin, David J. Russomanno, Joseph Qualls:
Survey of Semantic Extensions to UDDI: Implications for Sensor Services. SWWS 2007: 16-22 - 2006
- [j6]David J. Russomanno:
A plausible inference prototype for the Semantic Web. J. Intell. Inf. Syst. 26(3): 227-246 (2006) - [c10]Atiq Islam, Khan M. Iftekharuddin, David J. Russomanno:
Marker Gene Selection Evaluation in Brain Tumor Patients Using Parallel Coordinates. BIOCOMP 2006: 172-176 - [c9]Jahangheer S. Shaik, Cartik R. Kothari, David J. Russomanno, Mohammed Yeasin:
3D Visualization of Relation Clusters from OWL Ontologies. SWWS 2006: 17-23 - 2005
- [c8]David J. Russomanno, Cartik R. Kothari, Omoju A. Thomas:
Building a Sensor Ontology: A Practical Approach Leveraging ISO and OGC Models. IC-AI 2005: 637-643 - [c7]Cartik R. Kothari, David J. Russomanno:
A Relation Semantics Elicitation Prototype for the Semantic Web. IC-AI 2005: 682-688 - 2004
- [j5]David J. Russomanno, Cartik R. Kothari:
Expressing inter-link constraints in OWL knowledge bases. Expert Syst. J. Knowl. Eng. 21(4): 217-228 (2004) - [c6]Cartik R. Kothari, David J. Russomanno:
Specifying the Disjoint Nature of Object Properties in DL. Description Logics 2004 - [c5]Cartik R. Kothari, David J. Russomanno:
Relation Elements for the Semantic Web. ICCS 2004: 275-286 - 2003
- [c4]David J. Russomanno, Cartik R. Kothari:
An Implementation of Plausible Inference for the Semantic Web. IKE 2003: 246-254 - 2002
- [j4]David J. Russomanno, Kathryn Hicks:
A Prolog-based centroid algorithm for isovolume extraction from finite element torso simulations. Comput. Methods Programs Biomed. 67(2): 105-114 (2002)
1990 – 1999
- 1999
- [j3]David J. Russomanno:
A function-centered framework for reasoning about system failure at multiple levels of abstraction. Expert Syst. J. Knowl. Eng. 16(3): 148-169 (1999) - [c3]Congxiao Lu, David J. Russomanno:
KAT: A Knowledge Acquisition Tool for Acquiring Functional Knowledge Based Upon the No-Causality-In-Functional Principle. SAC 1999: 8-13 - 1998
- [j2]David J. Russomanno:
Utility Network Derivation from Legacy Source Data for Feature-Based AM/FM Systems. Int. J. Geogr. Inf. Sci. 12(5): 445-463 (1998) - [j1]J. A. Replogle, David J. Russomanno, Amy L. De Jongh, Frank J. Claydon:
Extracting isovolumes from three-dimensional torso geometry using PROLOG. IEEE Trans. Inf. Technol. Biomed. 2(1): 10-19 (1998) - 1996
- [c2]David J. Russomanno:
An Automated Inference Approach to Network Derivation for AM/FM/GIS Systems. ACM-GIS 1996: 90-97 - 1995
- [c1]David J. Russomanno:
The Object-Inferencing Framework: A Prolog-Based Approach for Extracting Structure from Computer Graphics. COMPSAC 1995: 172-177
Coauthor Index
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