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Stanley C. Ahalt
Stan Ahalt
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2020 – today
- 2024
- [i2]Olawumi Olasunkanmi, Evan Morris, Yaphet Kebede, Harlin Lee, Stanley C. Ahalt, Alexander Tropsha, Chris Bizon:
Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing. CoRR abs/2409.18659 (2024) - 2023
- [j34]Stan Ahalt, Paul Avillach
, Rebecca R. Boyles
Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research. J. Am. Medical Informatics Assoc. 30(7): 1293-1300 (2023) - 2022
- [j33]Karamarie Fecho, Stanley C. Ahalt, Michael Knowles, Ashok K. Krishnamurthy, Margaret Leigh, Kenneth Morton, Emily R. Pfaff, Max Wang, Hong Yi
Leveraging Open Electronic Health Record Data and Environmental Exposures Data to Derive Insights Into Rare Pulmonary Disease. Frontiers Artif. Intell. 5 (2022) - [i1]Robert L. Grossman, Rebecca R. Boyles, Brandi N. Davis-Dusenbery, Amanda Haddock, Allison P. Heath, Brian D. O'Connor, Adam C. Resnick, Deanne M. Taylor, Stan Ahalt:
A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments. CoRR abs/2203.05097 (2022) - 2020
- [j32]Hao Xu, Steven Cox, Lisa Stillwell, Emily R. Pfaff, James Champion, Stanley C. Ahalt, Karamarie Fecho
FHIR PIT: an open software application for spatiotemporal integration of clinical data and environmental exposures data. BMC Medical Informatics Decis. Mak. 20(1): 53 (2020)
2010 – 2019
- 2019
- [j31]Karamarie Fecho, Emily R. Pfaff
A novel approach for exposing and sharing clinical data: the Translator Integrated Clinical and Environmental Exposures Service. J. Am. Medical Informatics Assoc. 26(10): 1064-1073 (2019) - [j30]Karamarie Fecho
Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon. J. Biomed. Informatics 100 (2019) - [c31]Nicholas Berente, Stan Ahalt, James B. Bottum, Dana Brunson
The Professionalization of Cyberinfrastructure Personnel? PEARC 2019: 87:1-87:6 - 2018
- [j29]José-Luis Sancho-Gómez
Linear discriminants described by disjoint tangent configurations. Neurocomputing 316: 345-356 (2018) - [c30]Fan Jiang, Claris Castillo, Stan Ahalt:
Cachalot: A network-aware, cooperative cache network for geo-distributed, data-intensive applications. NOMS 2018: 1-9 - 2017
- [j28]Jay Aikat, Thomas M. Carsey, Karamarie Fecho, Kevin Jeffay, Ashok Kumar Krishnamurthy, Peter J. Mucha, Arcot Rajasekar, Stanley C. Ahalt:
Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education. Big Data 5(1): 12-18 (2017) - [c29]Ashok Kumar Krishnamurthy, Kira Bradford
xDCI, a data science cyberinfrastructure for interdisciplinary research. HPEC 2017: 1-7 - 2015
- [j27]Jason Reilly, Stanley C. Ahalt, John McGee, Phillips Owen, Charles Schmitt
MaPSeq, A Service-Oriented Architecture for Genomics Research within an Academic Biomedical Research Institution. Informatics 2(3): 20-30 (2015) - 2014
- [j26]Hye-Chung Kum, Ashok Kumar Krishnamurthy, Ashwin Machanavajjhala, Stanley C. Ahalt:
Social Genome: Putting Big Data to Work for Population Informatics. Computer 47(1): 56-63 (2014) - [j25]Stan Ahalt, Larry Band, Laura Christopherson
Water Science Software Institute: Agile and Open Source Scientific Software Development. Comput. Sci. Eng. 16(3): 18-26 (2014) - [j24]Hye-Chung Kum, Ashok K. Krishnamurthy, Ashwin Machanavajjhala, Michael K. Reiter, Stanley C. Ahalt:
Privacy preserving interactive record linkage (PPIRL). J. Am. Medical Informatics Assoc. 21(2): 212-220 (2014) - 2013
- [c28]Hye-Chung Kum, Ashok Kumar Krishnamurthy, Darshana Pathak, Michael K. Reiter, Stanley C. Ahalt:
Secure Decoupled Linkage (SDLink) system for building a social genome. IEEE BigData 2013: 7-11 - [c27]Stan Ahalt, Barbara S. Minsker
Water science software institute: an open source engagement process. SE-CSE@ICSE 2013: 40-47 - 2012
- [c26]Ketan K. Mane, Charles Schmitt
Data-driven approaches to augment clinical decision in EMR Era. CIP 2012: 1-5 - [c25]Linh Bao Ngo, Vijay Dantuluri, Michael J. Stealey
An Architecture for Mining and Visualization of U.S. Higher Educational Data. ITNG 2012: 783-789 - 2011
- [c24]Hye-Chung Kum, Stanley C. Ahalt:
Decoupled Data for Privacy Preserving Record Linkage with Error Management. SocialCom/PASSAT 2011: 1294-1301
2000 – 2009
- 2005
- [c23]Yi Zhao, Stanley C. Ahalt, Jianyu Dong:
Optimal Interleaving for 3-D Zerotree Wavelet Video Packets Over Burst Lossy Channels. ICASSP (2) 2005: 333-336 - 2004
- [j23]Junshui Ma, Ashok K. Krishnamurthy, Stanley C. Ahalt:
SVM training with duplicated samples and its application in SVM-based ensemble methods. Neurocomputing 61: 455-459 (2004) - [j22]Jeremy Kepner, Stanley C. Ahalt:
MatlabMPI. J. Parallel Distributed Comput. 64(8): 997-1005 (2004) - [c22]Stanley C. Ahalt:
Toward a High Performance Computing Economy. SC 2004: 61 - [c21]Yi Zhao, Stanley C. Ahalt, Jianyu Dong:
Content-based retransmission for a video streaming system with error concealment. Visual Information Processing 2004: 63-70 - [c20]Yi Zhao, Honglin Li, Stanley C. Ahalt:
Optimized packet interleaving for streaming applications on burst-lossy channels. Visual Information Processing 2004: 241-251 - 2003
- [j21]Junshui Ma, Xun Du, Stanley C. Ahalt:
2D HRR Radar Data Modeling and Processing. Multidimens. Syst. Signal Process. 14(1-3): 25-48 (2003) - [j20]Junshui Ma, José-Luis Sancho-Gómez
Nonlinear multiclass discriminant analysis. IEEE Signal Process. Lett. 10(7): 196-199 (2003) - 2002
- [j19]Adriana Dapena
A hybrid DCT-SVD image-coding algorithm. IEEE Trans. Circuits Syst. Video Technol. 12(2): 114-121 (2002) - [j18]Chao He, Yuan F. Zheng, Stanley C. Ahalt:
Object tracking using the Gabor wavelet transform and the golden section algorithm. IEEE Trans. Multim. 4(4): 528-538 (2002) - [c19]Yi Zhao, Honglin Li, Stanley C. Ahalt:
Multiclass kernel-based feature extraction. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 9-16 - [c18]Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt:
Modified Kernel-based Nonlinear Feature Extraction. ICMLA 2002: 127-132 - 2001
- [c17]Chao He, Jianyu Dong, Yuan F. Zheng, Stanley C. Ahalt:
Object Tracking Using the Gabor Wavelet Transforms and the Golden Section Algorithm. ICRA 2001: 1671-1676 - 2000
- [j17]José-Luis Sancho, William E. Pierson, Batu Ulug, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt:
Class separability estimation and incremental learning using boundary methods. Neurocomputing 35(1-4): 3-26 (2000) - [c16]Adriana Dapena, Xun Du, Stanley C. Ahalt:
An online image compression algorithm using singular value decomposition and adaptive vector quantization. EUSIPCO 2000: 1-4
1990 – 1999
- 1999
- [j16]Michael J. Collins, Ashok K. Krishnamurthy, Stanley C. Ahalt:
Generating gestural scores from articulatory data using temporal decomposition. IEEE Trans. Speech Audio Process. 7(2): 230-233 (1999) - [c15]Mohamed Qasem, Xun Du, Stanley C. Ahalt:
Efficient codebook search for vector quantization: exploiting inherent codebook structure. Visual Information Processing 1999: 149-154 - 1997
- [j15]Aristides S. Galanopoulos, Randolph L. Moses, Stanley C. Ahalt:
Diffusion approximation of frequency sensitive competitive learning. IEEE Trans. Neural Networks 8(5): 1026-1030 (1997) - [c14]James E. Fowler, Stanley C. Ahalt:
Adaptive Vector Quantization Using Generalized Threshold Replenishment. Data Compression Conference 1997: 317-326 - [c13]James E. Fowler, Stanley C. Ahalt:
Adaptive vector quantization of image sequences using generalized threshold replenishment. ICASSP 1997: 3085-3088 - [c12]James E. Fowler, Stanley C. Ahalt:
Image-sequence coding with generalized threshold replenishment: a new algorithm for adaptive vector quantization. Visual Information Processing 1997: 64-71 - 1996
- [j14]DeLiang Wang, Xiaomei Liu, Stanley C. Ahalt:
On Temporal Generalization of Simple Recurrent Networks. Neural Networks 9(7): 1099-1118 (1996) - [j13]Tzyy-Ping Jung
Deriving gestural score from articulator-movement records using weighted temporal decomposition. IEEE Trans. Speech Audio Process. 4(1): 2 (1996) - [j12]Aristides S. Galanopoulos, Stanley C. Ahalt:
Codeword distribution for frequency sensitive competitive learning with one-dimensional input data. IEEE Trans. Neural Networks 7(3): 752-756 (1996) - [j11]James R. Whiteley, James F. Davis, Amit Mehrotra, Stanley C. Ahalt:
Observations and problems applying ART2 for dynamic sensor pattern interpretation. IEEE Trans. Syst. Man Cybern. Part A 26(4): 423-437 (1996) - 1995
- [j10]James E. Fowler, Kenneth C. Adkins, Steven B. Bibyk, Stanley C. Ahalt:
Real-time video compression using differential vector quantization. IEEE Trans. Circuits Syst. Video Technol. 5(1): 14-24 (1995) - [j9]Daniel F. Stewart, Lee C. Potter, Stanley C. Ahalt:
Computationally attractive real Gabor transforms. IEEE Trans. Signal Process. 43(1): 77-84 (1995) - [c11]Batu Ulug, Stanley C. Ahalt, Rick Mitchell:
Model-catalog compression for radar target recognition. ICASSP 1995: 3479-3482 - [c10]Hung-Chih Chiang, Randolph L. Moses, Stanley C. Ahalt:
Analysis and modification of linear correlators for image pattern classification. ICASSP 1995: 3655-3658 - 1994
- [j8]Matthew J. Sheridan, Stanley C. Ahalt, David E. Orin:
Fuzzy control for robotic power grasp. Adv. Robotics 9(5): 535-546 (1994) - [j7]Mark D. Hanes, Stanley C. Ahalt, Ashok K. Krishnamurthy:
Acoustic-to-phonetic mapping using recurrent neural networks. IEEE Trans. Neural Networks 5(4): 659-662 (1994) - [c9]James E. Fowler, Stanley C. Ahalt:
Differential Vector Quantization of Real-Time Video. Data Compression Conference 1994: 205-214 - 1993
- [j6]James E. Fowler, Matthew R. Carbonara, Stanley C. Ahalt:
Image coding using differential vector quantization image coding using differential vector quantization. IEEE Trans. Circuits Syst. Video Technol. 3(5): 350-367 (1993) - [c8]James E. Fowler, Stanley C. Ahalt:
Robust, Variable Bit-rate Coding Using Entropy-Based Codebooks. Data Compression Conference 1993: 361-370 - 1992
- [j5]Mark D. Hanes, Stanley C. Ahalt, Khalid Mirza, David E. Orin:
Power grasp force distribution control using artificial neural networks. J. Field Robotics 9(5): 635-661 (1992) - [j4]Stanley C. Ahalt, Prakoon Chen, Cheng-Taou Chou, Tzyy-Ping Jung:
Implementation of a vector quantization codebook design technique based on a competitive learning artificial neural network. J. Supercomput. 5(4): 307-330 (1992) - [c7]Thomas E. Little, Stanley C. Ahalt:
A User Customizable X Window System Interface for Simulation of Neural Networks. ICTAI 1992: 456-457 - 1991
- [j3]Christopher Mills, Stanley C. Ahalt, James E. Fowler:
Compiled Instruction Set Simulation. Softw. Pract. Exp. 21(8): 877-889 (1991) - [c6]V. Vinod Kumar, Stanley C. Ahalt, Ashok K. Krishnamurthy:
Phonetic to acoustic mapping using recurrent neural networks. ICASSP 1991: 753-756 - [c5]Mark D. Hanes, Stanley C. Ahalt, Khalid Mirza, David E. Orin:
Neural network control of force distribution for power grasp. ICRA 1991: 746-751 - 1990
- [j2]Ashok K. Krishnamurthy, Stanley C. Ahalt, Douglas E. Melton, Prakoon Chen:
Neural Networks for Vector Quantization of Speech and Images. IEEE J. Sel. Areas Commun. 8(8): 1449-1457 (1990) - [j1]Stanley C. Ahalt, Ashok K. Krishnamurthy, Prakoon Chen, Douglas E. Melton:
Competitive learning algorithms for vector quantization. Neural Networks 3(3): 277-290 (1990) - [c4]Stanley C. Ahalt, Prakoon Chen, Cheng-Tao Chou:
The neural shell: a neural network simulation tool. TAI 1990: 118-124 - [c3]Tzyy-Ping Jung, Ashok K. Krishnamurthy, Stanley C. Ahalt:
The effects of distortion measures and feature sets on neural network classifiers. IJCNN 1990: 251-256 - [c2]Mark D. Hanes, Stanley C. Ahalt, Khalid Mirza, David E. Orin:
A neural network interface to the DIGITS Grasping System. IJCNN 1990: 343-348
1980 – 1989
- 1988
- [c1]Stanley C. Ahalt, Frederick D. Garber, Ismail Jouny, Ashok K. Krishnamurthy:
Performance of Synthetic Neural Network Classification of Noisy Radar Signals. NIPS 1988: 281-288
Coauthor Index
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