Debanjan Datta
@devDdata
PhD, CS @VT_CS, AWS AI -- Ex-Yahoo. Likes machine & human learning. -- Opinions : Strictly Personal Retweets != Agreement/Endorsement
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Illegal Timber Trade is a multibillion $ transnational crime. This paper describes a pilot project , w/ @simeone_john , @profnaren & collaborators from @WWF at #VT, gives a concise peak into the challenges & how ML based methods can help address it. journals.plos.org/plosone/articl…
At the #KDD2022 conference this week, @SanghaniCtrVT director Naren Ramakrishnan (@profnaren) reunited with former Ph.D. students @VT_CS now on their own career paths in academia or the tech industry: Feng Chen, @bijayaAdh, Fang Jin, @devDdata.
Faculty and Ph.D. students @VT_CS @SanghaniCtrVT were among the organizers and presenters at #KDD2022 this week in Washington, DC. The conference was also a good opportunity to meet up with alums and colleagues from other universities.
I'm excited to share my paper 'Framing Algorithmic Recourse for Anomaly Detection' with @profnaren @niustrategy will be presented at ACM SigKDD 2022, Research Track. If you're at #KDD2022 check out our talk & poster on 8/16! [arxiv.org/abs/2206.14384] @kdd_news
Framing Algorithmic Recourse for Anomaly Detection deepai.org/publication/fr… by @devDdata, @niustrategy, and @profnaren #AnomalyDetection #MachineLearning
deepai.org
Framing Algorithmic Recourse for Anomaly Detection
06/29/22 - The problem of algorithmic recourse has been explored for supervised machine learning models, to provide more interpretable, trans...
Anomaly detection methods compute an anomaly score A(x), and in research, we measure their effectiveness using AUC for the binary decision "anomaly" vs. "not anomaly". But in applications, we need to choose a threshold tau. How can we set tau without having labeled anomalies? 1/
ODD Workshop at #KDD2021 starts from 8am Pacific time. There are 6 exciting keynote talks and a panel discussion on fairness in outlier detection. oddworkshop.github.io
With the Fall 2021 semester fast approaching, students @SanghaniCtrVT are finishing up their summer internships. Ph.D. student Debanjan Datta (@devDdata) has been working on time series characterization and classification @awscloud, Seattle, WA. @profnaren @VT_CS
Useful thread w/ refs to recent happenings. cc @devDdata , @ShengzheXu.
I'd like to hear from experts about the state of the art in outlier detection and the related question of identifying parts of complex inputs (text or images) that novel / go "beyond" the training data.
Check out our paper on Unsupervised Anomaly Detection for heterogenous tabular data that doesn't need extensive hyper-parameter tuning ! #KDD2021 #anomaly #ODD2021 @sathappanspm @profnaren
4. Scrutinizing Shipment Records To Thwart Illegal Timber Trade @devDdata, Sathappan Muthiah, John Simeone, Amelia Meadows, @profnaren 5. Choosing Effective Projections for Fast and Accurate Anomaly Detection Chen Almagor, Yedid Hoshen
4. Scrutinizing Shipment Records To Thwart Illegal Timber Trade @devDdata, Sathappan Muthiah, John Simeone, Amelia Meadows, @profnaren 5. Choosing Effective Projections for Fast and Accurate Anomaly Detection Chen Almagor, Yedid Hoshen
Glad to announce our #KDD2021 Workshop on Outlier Detection and Description @odd_workshop. Jointly organized with Bryan Hooi, @leman_akoglu, @souravc83, Xiaodong Jiang, @ManishGuptaMG1 Deadline: May 20, 2021 Details: oddworkshop.github.io @kdd_news #Anomaly #DataScience
Detecting Anomalies Through Contrast in Heterogeneous Data deepai.org/publication/de… by Debanjan Datta et al. including @profnaren #Autoencoder #AnomalyDetection
deepai.org
Detecting Anomalies Through Contrast in Heterogeneous Data
04/02/21 - Detecting anomalies has been a fundamental approach in detecting potentially fraudulent activities. Tasked with detection of illeg...
Nice to see you on Twitter John! Yes, this recommendation indeed ties in nicely with @SanghaniCtrVT's current work on anomaly detection in large tabular datasets. cc: @devDdata @tripswithtires. Paper available here: people.cs.vt.edu/naren/papers/I…
The 1st rec mentioned is to improve SIMP enforcement using predictive analytics & machine learning. It'd be great to expand our @WWFscience /@TRAFFIC_WLTrade/@SanghaniCtrVT timber shipment targeting research to include seafood! More on our research here: ojs.aaai.org//index.php/AAA…
Check out our work!
Researchers @VT_DAC use an automated data analytics system to help @World_Wildlife identify illegal logging and trade, often the first links in a chain of events that cause forest degradation. @devDdata @tripswithtires @profnaren @Raihan0155 @VT_CS bit.ly/35kXwVS
Debugging is what time gets spent on. And yes configs help... martinheinz.dev/blog/24
Goode, Datta, and Ramakrishnan. "Imputing Data for the Fragile Families Challenge: Identifying Similar Survey Questions with Semi-automated Methods." @devDdata @profnaren @VT_DAC doi.org/10.1177%2F2378…
A rather insightful article by Zachary Lipton. " ... to some degree incentives are provided by the press and by investors" LInk : arxiv.org/pdf/1807.03341…
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