• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2024
• 
  Uday Kamath, Kevin Keenan, Garrett Somers, Sarah Sorenson:
  Large Language Models: A Deep Dive - Bridging Theory and Practice. Springer 2024, ISBN 978-3-031-65646-0, pp. 1-472
• 
  Kasturi Uday Aditya, Prateek N. Kamath, Yuktha Poral, Baddela Divya Mallika, Vadiraja A:
  Framework for Early Cyber Attack Detection Using ML Models Deployed On Fog Devices. ISDFS 2024: 1-6
• 2021
• 
  Uday Kamath, John Liu:
  Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning, 2. Springer 2021, ISBN 978-3-030-83355-8, pp. 1-310
• 
  Vedant Vajre, Mitchell Naylor, Uday Kamath, Amarda Shehu:
  PsychBERT: A Mental Health Language Model for Social Media Mental Health Behavioral Analysis. BIBM 2021: 1077-1082
• 
  Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath:
  Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff. CoRR abs/2107.05693 (2021)
• 2019
• 
  Uday Kamath, John Liu, James Whitaker:
  Deep Learning for NLP and Speech Recognition. Springer 2019, ISBN 978-3-030-14595-8, pp. 1-621
• 
  Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu:
  Parallel boosted clustering. Neurocomputing 351: 87-100 (2019)
• 
  Uday Kamath, Carlotta Domeniconi, Amarda Shehu, Kenneth A. De Jong:
  EML: A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications. Innovations in Big Data Mining and Embedded Knowledge 2019: 35-59
• 2018
• 
  Daniel Veltri, Uday Kamath, Amarda Shehu:
  Deep learning improves antimicrobial peptide recognition. Bioinform. 34(16): 2740-2747 (2018)
• 
  Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
  Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evol. Comput. 26(1) (2018)
• 2017
• 
  Daniel Veltri, Uday Kamath, Amarda Shehu:
  Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 300-313 (2017)
• 2015
• 
  Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
  Theoretical and Empirical Analysis of a Parallel Boosting Algorithm. CoRR abs/1508.01549 (2015)
• 2014
• 
  Daniel Veltri, Uday Kamath, Amarda Shehu:
  A novel method to improve recognition of antimicrobial peptides through distal sequence-based features. BIBM 2014: 371-378
• 
  Uday Kamath, Jessica Lin, Kenneth A. De Jong:
  SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO 2014: 533-540
• 
  Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang:
  Boosted Mean Shift Clustering. ECML/PKDD (2) 2014: 646-661
• 2013
• 
  Uday Kamath, Carlotta Domeniconi, Kenneth A. De Jong:
  An analysis of a spatial EA parallel boosting algorithm. GECCO 2013: 1053-1060
• 2012
• 
  Uday Kamath, Jack Compton, Rezarta Islamaj Dogan, Kenneth A. De Jong, Amarda Shehu:
  An Evolutionary Algorithm Approach for Feature Generation from Sequence Data and Its Application to DNA Splice Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1387-1398 (2012)
• 
  Jeffrey K. Bassett, Uday Kamath, Kenneth A. De Jong:
  A new methodology for the GP theory toolbox. GECCO 2012: 719-726
• 
  Uday Kamath, Johan Kaers, Amarda Shehu, Kenneth A. De Jong:
  A Spatial EA Framework for Parallelizing Machine Learning Methods. PPSN (1) 2012: 206-215
• 2011
• 
  Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
  A Two-Stage Evolutionary Approach for Effective Classification of hypersensitive DNA Sequences. J. Bioinform. Comput. Biol. 9(3): 399-413 (2011)
• 
  Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
  An evolutionary-based approach for feature generation: Eukaryotic promoter recognition. IEEE Congress on Evolutionary Computation 2011: 277-284
• 2010
• 
  Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
  Feature and Kernel Evolution for Recognition of Hypersensitive Sites in DNA Sequences. BIONETICS 2010: 213-228
• 
  Uday Kamath, Amarda Shehu, Kenneth A. De Jong:
  Using evolutionary computation to improve SVM classification. IEEE Congress on Evolutionary Computation 2010: 1-8
• 
  Uday Kamath, Kenneth A. De Jong, Amarda Shehu:
  Selecting predictive features for recognition of hypersensitive sites of regulatory genomic sequences with an evolutionary algorithm. GECCO 2010: 179-186
• 2008
• 
  Uday Kamath:
  Self-Learning Expert Systems using Rule Classifier in Detection Engines. Artificial Intelligence and Pattern Recognition 2008: 224-227
• 1998
• 
  M. Kamath, Subhasis Chaudhuri, Uday B. Desai:
  Direct parametric object detection in tomographic images. Image Vis. Comput. 16(9-10): 669-676 (1998)
• 
  Nidish Kamath, K. Sunil Kumar, Uday B. Desai, Rakesh Dugud:
  Joint segmentation and image interpretation using hidden Markov models. ICPR 1998: 1840-1842