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Christoph F. Eick
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- affiliation: University of Houston
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2020 – today
- 2024
- [j22]Paul K. Amalaman
, Christoph F. Eick:
SHCF: A supervised hierarchical clustering approach to remove high density salt and pepper noise from black and white content digital images. Multim. Tools Appl. 83(4): 11529-11556 (2024) - [i2]Raunak Sarbajna, Karima Elgarroussi, Hoang D. Vo, Jianyuan Ni, Christoph F. Eick:
COVID19-CBABM: A City-Based Agent Based Disease Spread Modeling Framework. CoRR abs/2409.05235 (2024) - 2023
- [c84]Christoph F. Eick
On Threshold Correlation with Application to Studying the Relationship of Temperature and Relative Humidity. GeoAI@SIGSPATIAL 2023: 53-62 - [c83]Raunak Sarbajna
PhobosBC: A Blockchain-based Crowdsourced Post-disaster Mapping System and its Agent-based Simulation. GeoSim@SIGSPATIAL 2023: 10-18 - 2021
- [c82]Steve Aibuedefe Aigbe, Christoph F. Eick:
Learning Domain-Specific Word Embeddings from COVID-19 Tweets. IEEE BigData 2021: 4307-4312 - [c81]Raunak Sarbajna
DEIMOSBC: A Blockchain-based System for Crowdsensing after Natural Disasters. BRAINS 2021: 17-20 - 2020
- [c80]Rishabh Sharma
Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net. BIBE 2020: 975-980 - [c79]Rishabh Sharma
SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection. M&Ms and EMIDEC/STACOM@MICCAI 2020: 342-350
2010 – 2019
- 2019
- [j21]Yongli Zhang, Christoph F. Eick:
Tracking Events in Twitter by Combining an LDA-Based Approach and a Density-Contour Clustering Approach. Int. J. Semantic Comput. 13(1): 87-110 (2019) - [j20]Romita Banerjee, Karima Elgarroussi, Sujing Wang, Akhil Talari, Yongli Zhang, Christoph F. Eick:
K2: A Novel Data Analysis Framework to Understand US Emotions in Space and Time. Int. J. Semantic Comput. 13(1): 111-133 (2019) - [c78]Wenhui Chu, Giovanni Molina, Nikhil V. Navkar, Christoph F. Eick, Aaron T. Becker
BNU-Net: A Novel Deep Learning Approach for LV MRI Analysis in Short-Axis MRI. BIBE 2019: 731-736 - [c77]Arjun Subramanyam Varalakshmi, Chong Wang, Christoph F. Eick:
Fast proximity graph generation with spark. BigSpatial@SIGSPATIAL 2019: 4:1-4:10 - 2018
- [j19]Sujing Wang, Christoph F. Eick:
A data mining framework for environmental and geo-spatial data analysis. Int. J. Data Sci. Anal. 5(2-3): 83-98 (2018) - [c76]Yongli Zhang, Christoph F. Eick:
A Novel Two-Stage System for Detecting and Tracking Events in Twitter. AIKE 2018: 77-84 - [c75]Romita Banerjee, Karima Elgarroussi, Sujing Wang, Yongli Zhang, Christoph F. Eick:
Tweet Emotion Mapping: Understanding US Emotions in Time and Space. AIKE 2018: 93-100 - [c74]Karima Elgarroussi, Sujing Wang, Romita Banerjee, Christoph F. Eick:
Aconcagua: A Novel Spatiotemporal Emotion Change Analysis Framework. GeoAI@SIGSPATIAL 2018: 54-61 - 2017
- [j18]Paul K. Amalaman, Christoph F. Eick, Chong Wang:
Supervised Taxonomies - Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 29(9): 2040-2052 (2017) - [c73]Yongli Zhang, Christoph F. Eick:
ST-COPOT: Spatio-temporal Clustering with Contour Polygon Trees. SIGSPATIAL/GIS 2017: 84:1-84:4 - [c72]Yongli Zhang, Sujing Wang, Amar Mani Aryal, Christoph F. Eick:
"Serial" versus "Parallel": A Comparison of Spatio-Temporal Clustering Approaches. ISMIS 2017: 396-403 - 2016
- [c71]Yongli Zhang, Christoph F. Eick:
ST-DCONTOUR: a serial, density-contour based spatio-temporal clustering approach to cluster location streams. IWGS@SIGSPATIAL 2016: 5:1-5:4 - [c70]Fatih Akdag, Christoph F. Eick:
Interestingness Hotspot Discovery in Spatial Datasets Using a Graph-Based Approach. MLDM 2016: 530-544 - 2015
- [c69]Fatih Akdag, Christoph F. Eick:
An optimized interestingness hotspot discovery framework for large gridded spatio-temporal datasets. IEEE BigData 2015: 2010-2019 - [c68]Paul K. Amalaman, Christoph F. Eick:
HC-edit: A Hierarchical Clustering Approach to Data Editing. ISMIS 2015: 160-170 - [c67]Paul K. Amalaman, Christoph F. Eick:
Avalanche: A Hierarchical, Divisive Clustering Algorithm. MLDM 2015: 296-310 - 2014
- [j17]Sujing Wang, Christoph F. Eick:
A polygon-based clustering and analysis framework for mining spatial datasets. GeoInformatica 18(3): 569-594 (2014) - [c66]Yongli Zhang, Christoph F. Eick:
Novel clustering and analysis techniques for mining spatio-temporal data. SIGSPATIAL PhD Workshop 2014: 2:1-2:5 - [c65]Fatih Akdag, Josh Urban Davis, Christoph F. Eick:
A computational framework for finding interestingness hotspots in large spatio-temporal grids. BigSpatial@SIGSPATIAL 2014: 21-29 - [c64]Fatih Akdag, Christoph F. Eick, Guoning Chen
Creating Polygon Models for Spatial Clusters. ISMIS 2014: 493-499 - [c63]Sujing Wang, Tianxing Cai, Christoph F. Eick:
New Clustering and Analyzing Technique for Mining Multi-source Enriched Geo-spatial Data. GeoRich@SIGMOD 2014: 6:1-6:6 - 2013
- [c62]Christoph F. Eick, Fatih Akdag, Paul K. Amalaman, Aditya Tadakaluru
A Framework for Discriminative Polygonal Place Scoping. COMP@SIGSPATIAL 2013: 20-27 - [c61]Sujing Wang, Tianxing Cai, Christoph F. Eick:
New Spatiotemporal Clustering Algorithms and their Applications to Ozone Pollution. ICDM Workshops 2013: 1061-1068 - [c60]Zechun Cao
Analyzing the composition of cities using spatial clustering. UrbComp@KDD 2013: 14:1-14:8 - [c59]Paul K. Amalaman, Christoph F. Eick, Nouhad J. Rizk:
Using Turning Point Detection to Obtain Better Regression Trees. MLDM 2013: 325-339 - [i1]Christoph F. Eick:
Uncertainty Management for Fuzzy Decision Support Systems. CoRR abs/1304.2351 (2013) - 2011
- [j16]Wei Ding
A framework for regional association rule mining and scoping in spatial datasets. GeoInformatica 15(1): 1-28 (2011) - [j15]Tomasz F. Stepinski, Wei Ding
Controlling patterns of geospatial phenomena. GeoInformatica 15(3): 399-416 (2011) - [j14]Rachsuda Jiamthapthaksin, Christoph F. Eick, Seungchan Lee:
GAC-GEO: a generic agglomerative clustering framework for geo-referenced datasets. Knowl. Inf. Syst. 29(3): 597-628 (2011) - [c58]Ruth Miller, Chun-Sheng Chen, Christoph F. Eick, Abraham Bagherjeiran:
A framework for spatial feature selection and scoping and its application to geo-targeting. ICSDM 2011: 26-31 - [c57]Chun-Sheng Chen, Christoph F. Eick, Nouhad J. Rizk:
Mining Spatial Trajectories Using Non-parametric Density Functions. MLDM 2011: 496-510 - [c56]Chun-Sheng Chen, Nauful Shaikh, Panitee Charoenrattanaruk, Christoph F. Eick, Nouhad J. Rizk, Edgar Gabriel:
Design and Evaluation of a Parallel Execution Framework for the CLEVER Clustering Algorithm. PARCO 2011: 73-80 - 2010
- [c55]Vadeerat Rinsurongkawong, Chun-Sheng Chen, Christoph F. Eick, Michael D. Twa
Analyzing change in spatial data by utilizing polygon models. COM.Geo 2010 - [c54]Sujing Wang, Chun-Sheng Chen, Vadeerat Rinsurongkawong, Fatih Akdag, Christoph F. Eick:
A polygon-based methodology for mining related spatial datasets. GIS-DMG 2010: 1-8 - [c53]Vadeerat Rinsurongkawong, Christoph F. Eick:
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets. PAKDD (1) 2010: 216-227 - [p2]Rachsuda Jiamthapthaksin, Jiyeon Choo, Chun-Sheng Chen, Oner Ulvi Celepcikay, Christian Giusti, Christoph F. Eick:
Mosaic. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 231-250
2000 – 2009
- 2009
- [j13]Wei Ding
Discovery of feature-based hot spots using supervised clustering. Comput. Geosci. 35(7): 1508-1516 (2009) - [j12]Vadeerat Rinsurongkawong, Christoph F. Eick:
Change analysis in spatial datasets by interestingness comparison. ACM SIGSPATIAL Special 1(1): 33-38 (2009) - [c52]Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta:
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. ADMA 2009: 188-199 - [c51]Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadeerat Rinsurongkawong:
An architecture and algorithms for multi-run clustering. CIDM 2009: 306-313 - [c50]Oner Ulvi Celepcikay, Christoph F. Eick:
REG^2: a regional regression framework for geo-referenced datasets. GIS 2009: 326-335 - [c49]Justin R. Thomas, Christoph F. Eick:
Online Learning of Spacecraft Simulation Models. IAAI 2009 - [c48]Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Ordonez:
Regional Pattern Discovery in Geo-referenced Datasets Using PCA. MLDM 2009: 719-733 - [c47]Chun-Sheng Chen, Vadeerat Rinsurongkawong, Christoph F. Eick, Michael D. Twa
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions. PAKDD 2009: 907-914 - 2008
- [c46]Christoph F. Eick, Rachana Parmar, Wei Ding
Finding regional co-location patterns for sets of continuous variables in spatial datasets. GIS 2008: 30 - [c45]Tomasz F. Stepinski, Wei Ding
Discovering controlling factors of geospatial variables. GIS 2008: 47 - [c44]Wei Ding
Towards Region Discovery in Spatial Datasets. PAKDD 2008: 88-99 - [p1]Abraham Bagherjeiran, Christoph F. Eick:
Distance Function Learning for Supervised Similarity Assessment. Case-Based Reasoning on Images and Signals 2008: 91-126 - 2007
- [c43]Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng Chen, Oner Ulvi Celepcikay, Christian Giusti, Christoph F. Eick:
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering. DaWaK 2007: 231-240 - [c42]Dan Jiang, Christoph F. Eick, Chun-Sheng Chen:
On supervised density estimation techniques and their application to spatial data mining. GIS 2007: 65 - [c41]Wei Ding
On Regional Association Rule Scoping. ICDM Workshops 2007: 595-600 - 2006
- [j11]Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta:
Using clustering to learn distance functions for supervised similarity assessment. Eng. Appl. Artif. Intell. 19(4): 395-401 (2006) - [c40]Wei Ding
A Framework for Regional Association Rule Mining in Spatial Datasets. ICDM 2006: 851-856 - [c39]Christoph F. Eick, Banafsheh Vaezian, Dan Jiang, Jing Wang:
Discovery of Interesting Regions in Spatial Data Sets Using Supervised Clustering. PKDD 2006: 127-138 - 2005
- [j10]Tae-Wan Ryu, Christoph F. Eick:
A database clustering methodology and tool. Inf. Sci. 171(1-3): 29-59 (2005) - [c38]Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta:
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005: 565-568 - [c37]Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick:
Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005: 24-28 - [c36]Christoph F. Eick, Nidal M. Zeidat:
Using Supervised Clustering to Enhance Classifiers. ISMIS 2005: 248-256 - [c35]Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta:
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005: 120-131 - 2004
- [c34]Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick:
Piece-Wise Model Fitting Using Local Data Patterns. ECAI 2004: 559-563 - [c33]Nidal M. Zeidat, Christoph F. Eick:
K-medoid-style Clustering Algorithms for Supervised Summary Generation. IC-AI 2004: 932-938 - [c32]Tae-Wan Ryu, Christoph F. Eick:
A Systematic Database Summary Generation Using the Distributed Query Discovery System. ICCSA (4) 2004: 185-195 - [c31]Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta:
Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. ICDM 2004: 375-378 - [c30]Christoph F. Eick, Nidal M. Zeidat, Zhenghong Zhao:
Supervised Clustering - Algorithms and Benefits. ICTAI 2004: 774-776 - 2003
- [c29]Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick:
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. ICDM 2003: 673-676 - [c28]Xiaoyong Li, Christoph F. Eick:
Fast Decision Tree Learning Algorithms for Microarray Data Collections. ICMLA 2003: 37-43 - 2000
- [c27]Clifton Davis, Christoph F. Eick:
A heuristic search based factoring tool. ICTAI 2000: 298-
1990 – 1999
- 1999
- [c26]Christoph F. Eick, Walter D. Sanz, Ruijian Zhang:
Genetic programming system for building block analysis to enhance data analysis and data mining techniques. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 142-149 - [c25]Clifton Davis, Christoph F. Eick:
Emperor: Cheap Legal Secure Cryptography for the Web. SAC 1999: 603-609 - 1998
- [j9]Brian Cloteaux, Christoph F. Eick, Bernadette Bouchon-Meunier, Vladik Kreinovich:
From ordered beliefs to numbers: How to elicit numbers without asking for them (doable but computationally difficult). Int. J. Intell. Syst. 13(9): 801-820 (1998) - [c24]Clifton Davis, Christoph F. Eick:
Using Offset Invariant Crossover as a Tool for Discovering Cycle Lengths of a Periodic Function. Evolutionary Programming 1998: 789-798 - 1997
- [c23]Ben S. Hadad, Christoph F. Eick:
Supporting Polyploidy in Genetic Algorithms Using Dominance Vectors. Evolutionary Programming 1997: 223-234 - [c22]Ben S. Hadad, Christoph F. Eick:
Using Recurrent Selection to Improve GA Performance. ISMIS 1997: 247-256 - 1996
- [j8]Clifton Davis, Christoph F. Eick, Balasubramanian Krishnamurthy, Ashish Shah, Lee Wanke:
Chirico - a Framework for Computerization of Medical Practice Guidelines. Int. J. Artif. Intell. Tools 5(1-2): 219-228 (1996) - [c21]Tae-Wan Ryu, Christoph F. Eick:
Deriving Queries from Results Using Genetic Programming. KDD 1996: 303-306 - 1995
- [c20]Yeong-Joon Kim, Christoph F. Eick:
Multi-rule-set Decision-making Schemes for a Genetic Algorithm Learning Environment for Classification Tasks. Evolutionary Programming 1995: 773-788 - [c19]Clifton Davis, Christoph F. Eick, Balasubramanian Krishnamurthy, Ashish Shah, Lee Wanke:
Chirico-a framework for computerization of medical practice guidelines. ICTAI 1995: 224-227 - [c18]Stefano Odoardi, Christoph F. Eick:
Tools for the definition and enforcement of dynamic constraints. ICTAI 1995: 326-333 - 1994
- [c17]Christoph F. Eick, Yeong-Joon Kim, Nicola Secomandi:
Enhancing Diversity for a Genetic Algorithm Learning Environment for Classfication Tasks. ICTAI 1994: 820-823 - [c16]Bogdan D. Czejdo, Bill P. Buckles, L. Smith, Christoph F. Eick:
An Adaptive Browsing System Based on Rules for Object-Oriented Databases. IFIP Congress (1) 1994: 121-126 - [c15]Christoph F. Eick, Ema Toto:
Evaluation and Enhancement of Bayesian Rule-Sets in a Genetic Algorithm Learning Environment for Classification Tasks. ISMIS 1994: 366-375 - 1993
- [j7]Bogdan D. Czejdo, Christoph F. Eick, Malcolm C. Taylor:
Integrating Sets, Rules, and Data in an Object-Oriented Environment. IEEE Expert 8(1): 59-66 (1993) - [j6]Sharon M. Tuttle, Christoph F. Eick:
Historical Rete Networks to Support the Debugging of Forward-Chaining Rule-Based Programs. Int. J. Artif. Intell. Tools 2(1): 47-70 (1993) - [j5]Christoph F. Eick, Paul Werstein:
Rule-Based Consistency Enforcement for Knowledge-Based Systems. IEEE Trans. Knowl. Data Eng. 5(1): 52-64 (1993) - [j4]Christoph F. Eick, Nikhil N. Mehta:
Decision making involving imperfect knowledge. IEEE Trans. Syst. Man Cybern. 23(3): 840-851 (1993) - [c14]Christoph F. Eick, Daw Jong:
Learning Bayesian Classification Rules through Genetic Algorithms. CIKM 1993: 305-313 - [c13]Iliano Cervesato, Christoph F. Eick:
Expression and Enforcement of Dynamic Integrity Constraints. SEBD 1993: 283-298 - 1992
- [j3]Christoph F. Eick:
Activation pattern controlled rules: Towards an integration of data-driven and command-driven programming. Appl. Intell. 2(1): 75-91 (1992) - [j2]Christoph F. Eick, Jialin Liu, Paul Werstein:
Integrating forward-chaining rules with operations and permanent knowledge bases. J. Syst. Integr. 2(3): 263-290 (1992) - [c12]Bogdan D. Czejdo, Christoph F. Eick:
Rules in an Extended C++. ICCI 1992: 365-368 - [c11]Sharon M. Tuttle, Christoph F. Eick:
Suggesting Causes of Faults in Data-Driven Rule-Based Systems. ICTAI 1992: 413-417 - [c10]Bogdan D. Czejdo, Christoph F. Eick, Malcolm C. Taylor:
Permanent object storage and collections for object-oriented systems with rules. SAC 1992: 369-376 - 1991
- [j1]Christoph F. Eick, Thomas Raupp:
Toward a Formal Semantics and Inference Rules for Conceptual Data Models. Data Knowl. Eng. 6: 297-317 (1991) - [c9]Bogdan D. Czejdo, Christoph F. Eick, Malcolm C. Taylor:
TANGUY: Integrating Database, Rule-based and Object-Oriented Paradigms. DASFAA 1991: 339-346 - [c8]Sharon M. Tuttle, Christoph F. Eick:
Historical Rete networks for debugging rule-based systems. ICTAI 1991: 450-457 - [c7]Christoph F. Eick:
Integrating Variables and Operations into Rule-Based Forward Chaining Systems. ISMIS 1991: 52-61 - [c6]Christoph F. Eick:
A Methodology for the Design and Transformation of Conceptual Schemas. VLDB 1991: 25-34 - 1990
- [c5]Christoph F. Eick, Jialin Liu, Paul Werstein:
Integration of Rules into a Knowledge Base Management System. ICSI 1990: 86-95
1980 – 1989
- 1988
- [c4]Christoph F. Eick, Rajeev Kochhar, Suresh Kumar:
DALI - a Knowledge Base Management System. IEA/AIE (Vol. 2) 1988: 837-846 - 1985
- [c3]Christoph F. Eick, Peter C. Lockemann:
Acquisition of Terminological Knowledge Using Database Design Techniques. SIGMOD Conference 1985: 84-94 - 1984
- [b1]Christoph F. Eick:
Methoden und rechnergestützte Werkzeuge für den logischen Datenbankentwurf. Karlsruhe Institute of Technology, Germany, 1984, pp. 1-163 - [c2]Christoph F. Eick:
From Natural Language Requirements to good Data Base Definitions - A Data Base Design Methodology. ICDE 1984: 324-331
1970 – 1979
- 1978
- [c1]Christoph F. Eick, Peter Raulefs:
Problem Solving by Hyper Planning. AISB/GI (ECAI) 1978: 103-104
Coauthor Index
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