Gregory Ditzler

2.3k citations

56 papers · 1.5k indexed · 1 hit paper · h-index 15

Impact in

Artificial Intelligence top 1%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
Signal Processing top 5%
- Time Series Analysis and Forecasting

Papers in

Artificial Intelligence 40
- Data Stream Mining Techniques 14
- Anomaly Detection Techniques and Applications 13
- Adversarial Robustness in Machine Learning 10
- Machine Learning and Data Classification 10
Management Science and Operations Research 7
- Advanced Bandit Algorithms Research 7

Co-authors: Robi Polikar Manuel Roveri Cesare Alippi Gail Rosen Hongki Jo Mehrdad Saif Roozbeh Razavi‐Far Ehsan Hallaji
Journals: IEEE Transactions on Neural Networks and Learning Systems (3 papers)Information Sciences (2 papers)Neural Networks (2 papers)BioData Mining (1 paper)IEEE Transactions on Industrial Electronics (1 paper)
Partner nations: United States Lebanon Canada

In The Last Decade

Gregory Ditzler

55 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Learning in Nonstationary Environments: A Survey 2015 · 518 citations

Peers

Countries citing papers authored by Gregory Ditzler

Since Specialization

Citations

This map shows the geographic impact of Gregory Ditzler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gregory Ditzler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Ditzler more than expected).

Fields of papers citing papers by Gregory Ditzler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory Ditzler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gregory Ditzler. The network helps show where Gregory Ditzler may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory Ditzler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory Ditzler Line = papers co-authored together Gregory Ditzler links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Knowledge distillation under ideal joint classifier assumption Neural Networks ·Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li	2024	1
2	Stealthy Adversarial Attacks on Machine Learning-Based Classifiers of Wireless Signals SHILAP Revista de lepidopterología ·Wenhan Zhang, Marwan Krunz, Gregory Ditzler	2024	2
3	Ovarian cancer detection using optical coherence tomography and convolutional neural networks Neural Computing and Applications ·David Schwartz, Travis W. Sawyer, Noah Thurston, Jennifer K. Barton, Gregory Ditzler	2022	29
4	Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum Wenhan Zhang, Marwan Krunz, Gregory Ditzler	2021	8
5	Multi-Layer Mapping of Cyberspace for Intrusion Detection Sicong Shao, Pratik Satam, Shalaka Satam, Khalid Al-Awady, Gregory Ditzler, Salim Hariri, Cihan Tunc	2021	7
6	Detecting Adversarial Audio via Activation Quantization Error Heng Liu, Gregory Ditzler	2020	2
7	Approximate kernel reconstruction for time-varying networks BioData Mining ·Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, Hassan M. Fathallah‐Shaykh	2019	1
8	The impact of encoding–decoding schemes and weight normalization in spiking neural networks Neural Networks ·Zhengzhong Liang, David Schwartz, Gregory Ditzler, O. Ozan Koyluoglu	2018	14
9	A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments IEEE Transactions on Industrial Electronics ·Roozbeh Razavi‐Far, Ehsan Hallaji, Mehrdad Saif, Gregory Ditzler	2018	51
10	Extensions to Online Feature Selection Using Bagging and Boosting IEEE Transactions on Neural Networks and Learning Systems ·Gregory Ditzler, Joseph LaBarck, James Ritchie, Gail Rosen, Robi Polikar	2017	26
11	AKRON: An algorithm for approximating sparse kernel reconstruction Signal Processing ·Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg	2017	3
12	A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection IEEE Transactions on Neural Networks and Learning Systems ·Gregory Ditzler, Robi Polikar, Gail Rosen	2017	19
13	Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art HAL (Le Centre pour la Communication Scientifique Directe) ·Sara Makki, Rafiqul Haque, Yéhia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Saïd Hacid, Hassan Zeineddine	2017	10
14	A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications Fabian De La Peña Montero, Salim Hariri, Gregory Ditzler	2017	3
15	Fizzy: feature subset selection for metagenomics BMC Bioinformatics ·Gregory Ditzler, J. Calvin Morrison, Yemin Lan, Gail Rosen	2015	38
16	Multi-Layer and Recursive Neural Networks for Metagenomic Classification IEEE Transactions on NanoBioscience ·Gregory Ditzler, Robi Polikar, Gail Rosen	2015	70
17	Scaling a neyman-pearson subset selection approach via heuristics for mining massive data Gregory Ditzler, Matthew Austen, Gail Rosen, Robi Polikar	2014	1
18	A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance IEEE Transactions on Neural Networks and Learning Systems ·Gregory Ditzler, Robi Polikar, Gail Rosen	2014	20
19	Hellinger distance based drift detection for nonstationary environments Gregory Ditzler, Robi Polikar	2011	86
20	Semi-supervised learning in nonstationary environments Gregory Ditzler, Robi Polikar	2011	32

About Gregory Ditzler

Gregory Ditzler is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition, Signal Processing and Biophysics, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (14 papers), Anomaly Detection Techniques and Applications (13 papers), Adversarial Robustness in Machine Learning (10 papers), Machine Learning and Data Classification (10 papers), Advanced Bandit Algorithms Research (7 papers), Face and Expression Recognition (6 papers), Gene expression and cancer classification (6 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (186 citations), Management Science and Operations Research (147 citations), Computer Networks and Communications (207 citations) and Computer Vision and Pattern Recognition (127 citations). Gregory Ditzler has collaborated with scholars based in United States, Lebanon and Canada. Frequent co-authors include Robi Polikar, Manuel Roveri, Cesare Alippi, Gail Rosen, Hongki Jo, Mehrdad Saif, Roozbeh Razavi‐Far, Ehsan Hallaji, Nitesh V. Chawla and Yemin Lan. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Information Sciences, Neural Networks, BioData Mining and IEEE Transactions on Industrial Electronics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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