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Habtom W. Ressom: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Habtom W. Ressom, Rency S. Varghese, Eduard Orvisky, Steven Drake, G. L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman
    Analysis of MALDI-TOF Serum Profiles for Biomarker Selection and Sample Classification. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:378-384 [Conf]
  2. Mohamad T. Musavi, Habtom W. Ressom, Ross Hinkle, Richard L. Miller
    Biodiversity and Ecosystems Informatics Workshop for the Indian River Lagoon. [Citation Graph (0, 0)][DBLP]
    DG.O, 2002, pp:- [Conf]
  3. Robert Reynolds, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru
    Improving robustness of fuzzy gene modeling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:51-56 [Conf]
  4. Dali Wang, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru
    Double self-organizing maps to cluster gene expression data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:45-50 [Conf]
  5. Habtom W. Ressom
    Modeling a Refrigeration System Using Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1999, pp:47-52 [Conf]
  6. Habtom W. Ressom, Rency S. Varghese, Daniel Saha, Eduard Orvisky, Lenka Goldman, Emanuel F. Petricoin, Thomas P. Conrads, Thomas D. Veenstra, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman
    Particle swarm optimization for analysis of mass spectral serum profiles. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:431-438 [Conf]
  7. Habtom W. Ressom, Lothar Litz
    Neurocontrol of Nonlinear Dynamic Systems Subject to Unmeasured Disturbance Inputs. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:855-860 [Conf]
  8. Wayne H. Slade Jr., Richard L. Miller, Habtom W. Ressom, Padma Natarajan
    Neural network-based retrieval of phytoplankton abundance from remotely-sensed ocean radiance. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:226-231 [Conf]
  9. Habtom W. Ressom, Dali Wang, Padma Natarajan
    Computational Methods for Identifying Number of Clusters in Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:233-238 [Conf]
  10. Habtom W. Ressom, S. K. Fyfe, S. Srirangam, Mohamad T. Musavi, Padma Natarajan
    Estimation of photosynthetic efficiency for monitoring seagrass health using neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:232-237 [Conf]
  11. Habtom W. Ressom, Rency S. Varghese, Mohamed Abdel-Hamid, Sohair Abdel-Latif Eissa, Daniel Saha, Lenka Goldman, Emanuel F. Petricoin, Thomas P. Conrads, Timothy D. Veenstra, Christopher A. Loffredo, Radoslav Goldman
    Analysis of mass spectral serum profiles for biomarker selection. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:21, pp:4039-4045 [Journal]
  12. Habtom W. Ressom, Rency S. Varghese, S. K. Drake, G. L. Hortin, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman
    Peak selection from MALDI-TOF mass spectra using ant colony optimization. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:5, pp:619-626 [Journal]
  13. Habtom W. Ressom, Padma Natarajan, Rency S. Varghese, Mohamad T. Musavi
    Applications of fuzzy logic in genomics. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:125-138 [Journal]
  14. N. Xiong, Lothar Litz, Habtom W. Ressom
    Learning Premises of Fuzzy Rules for Knowledge Acquisition in Classification Problems. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2002, v:4, n:1, pp:96-111 [Journal]
  15. Habtom W. Ressom, Dali Wang, Padma Natarajan
    Adaptive double self-organizing maps for clustering gene expression profiles. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:633-640 [Journal]
  16. Mohamad T. Musavi, Habtom W. Ressom, S. Srirangam, Padma Natarajan, R. W. Virnstein, L. J. Morris, W. Tweedale
    Neural network-based light attenuation model for monitoring seagrass population in the Indian river lagoon. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2007, v:29, n:1, pp:63-77 [Journal]

  17. Probabilistic-Based Mixture Regression Models for Multi-Class Alignment of LC-MS Data. [Citation Graph (, )][DBLP]


  18. Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling. [Citation Graph (, )][DBLP]


  19. Biomarker Identification and Rule Extraction from Mass Spectral Serum Profiles. [Citation Graph (, )][DBLP]


  20. Inference of Gene Regulatory Networks from Time Course Gene Expression Data Using Neural Networks and Swarm Intelligence. [Citation Graph (, )][DBLP]


  21. Estimation of Ocean Water Chlorophyll-a Concentration Using Fuzzy C-means Clustering and Artificial Neural Networks. [Citation Graph (, )][DBLP]


  22. Analysis of MALDI-TOF Spectrometry Data for Detection of Glycan Biomarkers. [Citation Graph (, )][DBLP]


  23. Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data. [Citation Graph (, )][DBLP]


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