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ORCIDCharles K. Nicholas
Charles Nicholas
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- affiliation: University of Maryland, USA
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2020 – today
- 2024
[c59]Ran Liu, Cynthia Matuszek, Charles Nicholas:
An Efficient PDF Malware Detection Method Using Highly Compact Features. DocEng 2024: 14:1-14:4- [c58]Ryan Barron
, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nick Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. ISDFS 2024: 1-6 - [c57]Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alcxandrov, Charles Nicholas:
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. ISDFS 2024: 1-6 - [i33]Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas:
Adaptive Quantum Optimized Centroid Initialization. CoRR abs/2401.11258 (2024) - [i32]Maksim Ekin Eren, Ryan Barron, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
Catch'em all: Classification of Rare, Prominent, and Novel Malware Families. CoRR abs/2403.02546 (2024) - [i31]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Selma Wanna, Nicholas Solovyev, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas, Cynthia Matuszek:
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization. CoRR abs/2403.16222 (2024) - 2023
- [j22]Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff:
MOTIF: A Malware Reference Dataset with Ground Truth Family Labels. Comput. Secur. 124: 102921 (2023) - [j21]Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov:
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. ACM Trans. Priv. Secur. 26(4): 48:1-48:27 (2023) - [c56]Ran Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas:
Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset. IEEE Big Data 2023: 3017-3024 - [c55]Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt:
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CAMLIS 2023: 105-121 - [c54]Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt:
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS 2023: 181-192 - [c53]Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff:
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS 2023: 185-196 - [c52]Ran Liu, Cynthia Matuszek, Charles Nicholas:
A PDF Malware Detection Method Using Extremely Small Training Sample Size. DocEng 2023: 27:1-27:4 - [c51]Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas:
Quantum Optimized Centroid Initialization. FTC (2) 2023: 71-85 - [c50]Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. ISI 2023: 1-3 - [i30]Ran Liu, Charles Nicholas:
IMCDCF: An Incremental Malware Detection Approach Using Hidden Markov Models. CoRR abs/2304.07989 (2023) - [i29]Ran Liu, Maksim Ekin Eren, Charles Nicholas:
Can Feature Engineering Help Quantum Machine Learning for Malware Detection? CoRR abs/2305.02396 (2023) - [i28]Nicholas R. Allgood, Ajinkya Borle, Charles K. Nicholas:
Quantum Optimized Centroid Initialization. CoRR abs/2305.08626 (2023) - [i27]Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff:
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR abs/2306.06228 (2023) - [i26]Ran Liu, Charles Nicholas:
A Feature Set of Small Size for the PDF Malware Detection. CoRR abs/2308.04704 (2023) - [i25]Maksim Ekin Eren, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas:
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware. CoRR abs/2309.01350 (2023) - [i24]Maksim Ekin Eren, Manish Bhattarai, Robert J. Joyce, Edward Raff, Charles Nicholas, Boian S. Alexandrov:
Semi-supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection. CoRR abs/2309.06643 (2023) - [i23]Robert J. Joyce, Edward Raff, Charles Nicholas, James Holt:
MalDICT: Benchmark Datasets on Malware Behaviors, Platforms, Exploitation, and Packers. CoRR abs/2310.11706 (2023) - [i22]Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt:
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR abs/2312.15813 (2023) - 2022
- [c49]André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt:
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI 2022: 7877-7885 - [c48]André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt:
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS 2022: 81-99 - [c47]Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov:
SeNMFk-SPLIT: large corpora topic modeling by semantic non-negative matrix factorization with automatic model selection. DocEng 2022: 10:1-10:4 - [c46]Nicholas R. Allgood, Charles K. Nicholas:
A Quantum Algorithm to Locate Unknown Hashgrams. FTC (3) 2022: 273-285 - [c45]Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
One-Shot Federated Group Collaborative Filtering. ICMLA 2022: 647-652 - [i21]Robert J. Joyce, Edward Raff, Charles Nicholas:
Rank-1 Similarity Matrix Decomposition For Modeling Changes in Antivirus Consensus Through Time. CoRR abs/2201.00757 (2022) - [i20]André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt:
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR abs/2202.08985 (2022) - [i19]Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov:
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation. CoRR abs/2205.02359 (2022) - [i18]Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov:
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. CoRR abs/2208.09942 (2022) - 2021
- [c44]Prajna Bhandary, Edward Zieglar, Charles Nicholas:
Searching for Selfie in TLS 1.3 with the Cryptographic Protocol Shapes Analyzer. Protocols, Strands, and Logic 2021: 50-76 - [c43]Robert J. Joyce, Edward Raff, Charles Nicholas:
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. AISec@CCS 2021: 73-84 - [c42]Charles Nicholas, Robert J. Joyce, Steve Simske:
Document engineering issues in malware analysis. DocEng 2021: 2:1 - [c41]Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas:
COVID-19 multidimensional kaggle literature organization. DocEng 2021: 33:1-33:4 - [i17]John Boutsikas, Maksim Ekin Eren, Charles K. Varga, Edward Raff, Cynthia Matuszek, Charles Nicholas:
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. CoRR abs/2106.07860 (2021) - [i16]Maksim Ekin Eren, Nick Solovyev, Chris Hamer, Renee McDonald, Boian S. Alexandrov, Charles Nicholas:
COVID-19 Multidimensional Kaggle Literature Organization. CoRR abs/2107.08190 (2021) - [i15]André T. Nguyen, Edward Raff, Charles Nicholas, James Holt:
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR abs/2108.04081 (2021) - [i14]Robert J. Joyce, Edward Raff, Charles Nicholas:
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels. CoRR abs/2109.11126 (2021) - [i13]Robert J. Joyce, Dev Amlani, Charles Nicholas, Edward Raff:
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels. CoRR abs/2111.15031 (2021) - 2020
- [c40]Edward Raff, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. AAAI 2020: 5444-5453 - [c39]Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt:
Automatic Yara Rule Generation Using Biclustering. AISec@CCS 2020: 71-82 - [c38]Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson:
COVID-19 Kaggle Literature Organization. DocEng 2020: 15:1-15:4 - [c37]Ketan Rajshekhar Shahapure, Charles Nicholas:
Cluster Quality Analysis Using Silhouette Score. DSAA 2020: 747-748 - [i12]Nicholas R. Allgood, Charles K. Nicholas:
A Quantum Algorithm To Locate Unknown Hashes For Known N-Grams Within A Large Malware Corpus. CoRR abs/2005.02911 (2020) - [i11]Edward Raff, Charles Nicholas:
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification. CoRR abs/2006.09271 (2020) - [i10]Maksim Ekin Eren, Nick Solovyev, Edward Raff, Charles Nicholas, Ben Johnson:
COVID-19 Kaggle Literature Organization. CoRR abs/2008.13542 (2020) - [i9]Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, James Holt:
Automatic Yara Rule Generation Using Biclustering. CoRR abs/2009.03779 (2020)
2010 – 2019
- 2019
- [c36]Edward Raff, Joe Aurelio, Charles Nicholas:
PyLZJD: An Easy to Use Tool for Machine Learning. SciPy 2019: 101-106 - [i8]Edward Raff, William Fleming, Richard Zak, Hyrum S. Anderson, Bill Finlayson, Charles Nicholas, Mark McLean:
KiloGrams: Very Large N-Grams for Malware Classification. CoRR abs/1908.00200 (2019) - [i7]Edward Raff, Charles Nicholas, Mark McLean:
A New Burrows Wheeler Transform Markov Distance. CoRR abs/1912.13046 (2019) - 2018
- [j20]Edward Raff, Charles Nicholas:
Lempel-Ziv Jaccard Distance, an effective alternative to ssdeep and sdhash. Digit. Investig. 24: 34-49 (2018) - [j19]Edward Raff, Richard Zak, Russell Cox, Jared Sylvester, Paul Yacci, Rebecca Ward, Anna Tracy, Mark McLean, Charles Nicholas:
An investigation of byte n-gram features for malware classification. J. Comput. Virol. Hacking Tech. 14(1): 1-20 (2018) - [c35]Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas:
Malware Detection by Eating a Whole EXE. AAAI Workshops 2018: 268-276 - [c34]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. AAAI Fall Symposium: ALEC 2018: 3-10 - [c33]Edward Raff, Jared Sylvester, Charles Nicholas:
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CIKM 2018: 1203-1212 - [c32]Edward Raff, Charles Nicholas:
Hash-Grams: Faster N-Gram Features for Classification and Malware Detection. DocEng 2018: 22:1-22:4 - [c31]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. MALWARE 2018: 3-12 - [i6]Edward Raff, Charles Nicholas:
Toward Metric Indexes for Incremental Insertion and Querying. CoRR abs/1801.05055 (2018) - [i5]Edward Raff, Jared Sylvester, Charles Nicholas:
Engineering a Simplified 0-Bit Consistent Weighted Sampling. CoRR abs/1804.00069 (2018) - [i4]William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. CoRR abs/1806.04773 (2018) - 2017
- [c30]Edward Raff, Charles Nicholas:
Malware Classification and Class Imbalance via Stochastic Hashed LZJD. AISec@CCS 2017: 111-120 - [c29]Edward Raff, Jared Sylvester, Charles Nicholas:
Learning the PE Header, Malware Detection with Minimal Domain Knowledge. AISec@CCS 2017: 121-132 - [c28]Charles K. Nicholas:
Document Engineering Issues in Malware Analysis. DocEng 2017: 3 - [c27]Edward Raff, Charles K. Nicholas:
An Alternative to NCD for Large Sequences, Lempel-Ziv Jaccard Distance. KDD 2017: 1007-1015 - [c26]Richard Zak, Edward Raff, Charles Nicholas:
What can N-grams learn for malware detection? MALWARE 2017: 109-118 - [i3]Edward Raff, Charles K. Nicholas:
Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash. CoRR abs/1708.03346 (2017) - [i2]Edward Raff, Jared Sylvester, Charles K. Nicholas:
Learning the PE Header, Malware Detection with Minimal Domain Knowledge. CoRR abs/1709.01471 (2017) - [i1]Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas:
Malware Detection by Eating a Whole EXE. CoRR abs/1710.09435 (2017) - 2016
- [c25]Charles K. Nicholas, Robert Brandon:
Document Engineering Issues in Malware Analysis. DocEng 2016: 3 - 2015
- [c24]Charles K. Nicholas, Robert Brandon:
Document Engineering Issues in Document Analysis. DocEng 2015: 229-230 - 2013
- [j18]Charles K. Nicholas, Ethan V. Munson:
Document engineering education: workshop report. SIGWEB Newsl. 2013(Winter): 1:1-1:5 (2013) - [c23]Timothy R. Leschke, Charles K. Nicholas:
Change-link 2.0: a digital forensic tool for visualizing changes to shadow volume data. VizSEC 2013: 17-24
2000 – 2009
- 2009
- [c22]Paul McNamee, James Mayfield, Charles K. Nicholas:
Translation Corpus Source and Size in Bilingual Retrieval. HLT-NAACL (Short Papers) 2009: 25-28 - [c21]Paul McNamee, Charles K. Nicholas, James Mayfield:
Addressing morphological variation in alphabetic languages. SIGIR 2009: 75-82 - 2008
- [c20]Marcella Wilson, Charles K. Nicholas:
Topological analysis of an online social network for older adults. SSM 2008: 51-58 - [c19]Paul McNamee, Charles K. Nicholas, James Mayfield:
Don't have a stemmer?: be un+concern+ed. SIGIR 2008: 813-814 - 2007
- [j17]Vladimir Volkovich, Jacob Kogan, Charles K. Nicholas:
Building initial partitions through sampling techniques. Eur. J. Oper. Res. 183(3): 1097-1105 (2007) - 2006
- [p1]Zeev Volkovich, Jacob Kogan, Charles K. Nicholas:
Sampling Methods for Building Initial Partitions. Grouping Multidimensional Data 2006: 161-185 - [e7]Jacob Kogan, Charles K. Nicholas, Marc Teboulle:
Grouping Multidimensional Data - Recent Advances in Clustering. Springer 2006, ISBN 978-3-540-28348-5 [contents] - 2005
- [j16]Jacob Kogan, Marc Teboulle, Charles K. Nicholas:
Data Driven Similarity Measures for k-Means Like Clustering Algorithms. Inf. Retr. 8(2): 331-349 (2005) - 2004
- [j15]Vinay Bhat, Tim Oates, Vishal Shanbhag, Charles K. Nicholas:
Finding aliases on the web using latent semantic analysis. Data Knowl. Eng. 49(2): 129-143 (2004) - 2003
- [j14]Jacob Kogan, Charles K. Nicholas, Vladimir Volkovich:
Text mining with information-theoretic clustering. Comput. Sci. Eng. 5(6): 52-59 (2003) - [c18]Srikanth Kallurkar, Yongmei Shi, R. Scott Cost, Charles K. Nicholas, Akshay Java, Christopher James, Sowjanya Rajavaram, Vishal Shanbhag, Sachin Bhatkar, Drew Ogle:
UMBC at TREC 12. TREC 2003: 699-706 - 2002
- [j13]R. Scott Cost, Timothy W. Finin, Anupam Joshi, Yun Peng, Charles K. Nicholas, Ian Soboroff, Harry Chen, Lalana Kagal, Filip Perich, Youyong Zou, Sovrin Tolia:
ITtalks: A Case Study in the Semantic Web and DAML+OIL. IEEE Intell. Syst. 17(1): 40-47 (2002) - [j12]Ian Soboroff, Charles K. Nicholas:
Related, but not Relevant: Content-Based Collaborative Filtering in TREC-8. Inf. Retr. 5(2-3): 189-208 (2002) - [c17]R. Scott Cost, Srikanth Kallurkar, Hemali Majithia, Charles K. Nicholas, Yongmei Shi:
Integrating Distributed Information Sources with CARROT II. CIA 2002: 194-201 - [c16]R. Scott Cost, Srikanth Kallurkar, Hemali Majithia, Charles K. Nicholas, Yongmei Shi:
CARROTT 11 and the TREC 11 Web Track. TREC 2002 - [c15]Lalana Kagal, Filip Perich, Harry Chen, Sovrin Tolia, Youyong Zou, Timothy W. Finin, Anupam Joshi, Yun Peng, R. Scott Cost, Charles K. Nicholas:
Agents Making Sense of the Semantic Web. WRAC 2002: 417-433 - 2001
- [c14]Filip Perich, Lalana Kagal, Harry Chen, Sovrin Tolia, Youyong Zou, Timothy W. Finin, Anupam Joshi, Yun Peng, R. Scott Cost, Charles K. Nicholas:
ITTALKS: An Application of Agents in the Semantic Web. ESAW 2001: 175-194 - [c13]R. Scott Cost, Timothy W. Finin, Anupam Joshi, Yun Peng, Charles K. Nicholas, Harry Chen, Lalana Kagal, Filip Perich, Youyong Zou, Sovrin Tolia:
ITTALKS: A Case Study in the Semantic Web and DAML. SWWS 2001: 477-494 - [c12]Ian Soboroff, Charles K. Nicholas, Patrick Cahan:
Ranking Retrieval Systems without Relevance Judgments. SIGIR 2001: 66-73 - [c11]Travis Atkison, Kathleen Pensy, Charles K. Nicholas, David S. Ebert, Rebekah Atkison, Chris Morris:
Case Study: Visualization and Information Retrieval Techniques for Network Intrusion Detection. VisSym 2001: 283-290 - 2000
- [j11]Ethan Millar, Dan Shen, Junli Liu, Charles K. Nicholas:
Performance and Scalability of a Large-Scale N-gram Based Information Retrieval System. J. Digit. Inf. 1(5) (2000) - [c10]Ian Soboroff, Charles K. Nicholas:
Collaborative filtering and the generalized vector space model. SIGIR 2000: 351-353
1990 – 1999
- 1999
- [j10]Christopher D. Shaw, James M. Kukla, Ian Soboroff, David S. Ebert, Charles K. Nicholas, Amen Zwa, Ethan L. Miller, D. Aaron Roberts:
Interactive Volumetric Information Visualization for Document Corpus Management. Int. J. Digit. Libr. 2(2-3): 144-156 (1999) - [j9]Ian Soboroff, Charles K. Nicholas, Michael J. Pazzani:
Workshop on Recommender Systems: Algorithms and Evaluation. SIGIR Forum 33(1): 36-43 (1999) - [c9]Ethan L. Miller, Dan Shen, Junli Liu, Charles K. Nicholas, Ting Chen:
Techniques for Gigabyte-Scale N-gram Based Information Retrieval on Personal Computers. PDPTA 1999: 1410-1416 - 1998
- [c8]Charles K. Nicholas, Randall Dahlberg:
Spotting Topics with the Singular Value Decomposition. PODDP 1998: 82-91 - [e6]Ethan V. Munson, Charles K. Nicholas, Derick Wood:
Principles of Digital Document Processing, 4th International Workshop, PODDP'98, Saint Malo, France, March 29-30, 1998, Proceedings. Lecture Notes in Computer Science 1481, Springer 1998, ISBN 3-540-65086-5 [contents] - [e5]David S. Ebert, Charles K. Nicholas, Chris D. Shaw:
Proceedings of the CIKM 1998 Workshop on New Paradigms in Information Visualization and Manipulation, NPIV 1998, Bethesda, MD, USA, November 3-7, 1998. ACM 1998, ISBN 978-1-58113-179-6 [contents] - 1997
- [c7]R. Scott Cost, Ian Soboroff, Jeegar Lakhani, Timothy W. Finin, Ethan L. Miller, Charles K. Nicholas:
TKQML: A Scripting Tool for Building Agents. ATAL 1997: 339-343 - [c6]Ian Soboroff, Charles K. Nicholas, James M. Kukla, David S. Ebert:
Visualizing Document Authorship Using n-grams and Latent Semantic Indexing. Workshop on New Paradigms in Information Visualization and Manipulation 1997: 43-48 - [c5]R. Scott Cost, Ian Soboroff, Jeegar Lakhani, Tim Finin, Ethan L. Miller, Charles K. Nicholas:
Agent Development Support for Tcl. Tcl/Tk Workshop 1997 - [e4]Charles K. Nicholas, James Mayfield:
Intelligent Hypertext: Advanced Techniques for the World Wide Web. Lecture Notes in Computer Science 1326, Springer 1997, ISBN 3-540-63637-4 [contents] - [e3]David S. Ebert, Charles K. Nicholas:
Proceedings of the Workshop on New Paradigms in Information Visualization and Manipulation, NIPV 1997, in conjuction with CIKM 1997, November 10-14, 1997, Las Vegas, NV, USA. ACM 1997, ISBN 978-1-58113-051-5 [contents] - [e2]Charles K. Nicholas, Derick Wood:
Principles of Document Processing, Third International Workshop, PODP'96, Palo Alto, California, USA, September 23, 1996, Proceedings. Lecture Notes in Computer Science 1293, Springer 1997, ISBN 3-540-63620-X [contents] - 1996
- [j8]Claudia Pearce, Charles K. Nicholas:
TELLTALE: Experiments in a Dynamic Hypertext Environment for Degraded and Multilingual Data. J. Am. Soc. Inf. Sci. 47(4): 263-275 (1996) - [c4]Grace Crowder, Charles Nicholas:
Using Statistical Properties of Text to Create Metadata. MD 1996 - 1995
- [j7]Kenneth E. Rowe, Charles K. Nicholas:
Reliability of WWW Name Servers. Comput. Networks ISDN Syst. 27(6): 773-780 (1995) - [c3]Grace Crowder, Charles Nicholas:
An Approach to Large Scale Distributed Information Systems Using Statistical Properties of Text to Guide Agent Search. CIKM Information Agents Workshop 1995: 2:1-2:7 - 1993
- [j6]Charles K. Nicholas, Linda H. Rosenberg:
Canto: a Hypertext Data Model. Electron. Publ. 6(2): 93-113 (1993) - [j5]Charles K. Nicholas, Yelena Yesha:
Information and Knowledge Management: Guest Editors' Introduction. Int. J. Cooperative Inf. Syst. 2(2): 105-106 (1993) - [j4]