Amaretto: An Active Learning Framework for Money Laundering Detection by Danilo Labanca, Luca Primerano, Marcus Markland-Montgomery, Mario Polino, Michele Carminati, Stefano Zanero

“…Finally, we compare Amaretto against a state-of-the-art active learning fraud detection system, achieving better detection performances and lower costs in all the analyzed scenarios. …”
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Substance Use From Social Distancing and Isolation by US Nativity During the Time of COVID-19: Cross-sectional Study by Francisco Alejandro Montiel Ishino, Kevin Villalobos, Faustine Williams

“…Of the 5938 surveys returned, 5413 (91.16%) surveys were used after proprietary expert review fraud detection (Qualtrics) and detailed assessments of the completion rate and the timing to complete the survey. …”
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SPECTROSCOPY DATA CALIBRATION USING STACKED ENSEMBLE MACHINE LEARNING by Mahmud Iwan Solihin, Chan Jin Yuan, Wan Siu Hong, Liew Phing Pui, Ang Chun Kit, Wafa Hossain, Affiani Machmudah

“… Near infrared spectroscopy (NIRS) is a widely used analytical technique for non-destructive analysis of various materials including food fraud detection. However, the accurate calibration of NIRS data can be challenging due to the complexity of the underlying relationships between the spectral data and the target variables of interest. …”
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A Workflow for Meaningful Interpretation of Classification Results from Handheld Ambient Mass Spectrometry Analysis Probes by Alexa Fiorante, Lan Anna Ye, Alessandra Tata, Taira Kiyota, Michael Woolman, Francis Talbot, Yasamine Farahmand, Darah Vlaminck, Lauren Katz, Andrea Massaro, Howard Ginsberg, Ahmed Aman, Arash Zarrine-Afsar

“…By drawing parallels with hurdles that are faced in the field of food fraud detection with untargeted mass spectrometry, we provide a stepwise workflow for the creation, refinement, evaluation, and assessment of the robustness of molecular models, aimed at meaningful interpretation of mass spectrometry-based tissue classification results. …”
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Artificial Intelligence in HCI : Second International Conference, AI-HCI 2021, held as part of the 23rd HCI International Conference, HCII 2021, Virtual event, July 24-29, 2021, Pr... by AI-HCI (Conference) (2nd : 2021 : Online), organiser 642919, Degen, Helmut, 1964-, editor 642920, Ntoa, Stavroula, editor 642921, International Conference on Human-Computer Interaction (23rd : 2021 : Online), organiser 642922

Operationally constrained quickest change detection with multiple post-change distributions by Lau, Tze Siong

“…As sensor and computing technology becomes increasingly pervasive and ubiquitous, QCD has found a wide spectrum of applications, from fraud detection to power system line outage detection. …”
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Evaluating Intrusion Detection Systems for Energy Diversion Attacks by Sethi, Abhishek Rajkumar

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RES.LL-005 D4M: Signal Processing on Databases, Fall 2012 by Kepner, Jeremy

“…Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. …”
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Persepsi Auditor atas Tingkat Efektivitas Red Flags untuk Mendeteksi Kecurangan by Ni Wayan Rustiarini, Ni Luh Gde Novitasari

“…The research aims to identify auditors perception of red flags effectiveness in fraud detecting and examine the influence of auditor demographic factorssuch as characteristics (gender, job position, auditor tenure), and competence (education, fraud experience, fraud training) on auditor's perception. …”
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Paying for crime: frauds in DPVAT insurance and their impacts on society by Beatriz Peres Lopes, João Vinícius França Carvalho

“…Using the Actuarial Credibility Theory, and a official database, the discrepancy between the DPVAT claims ratio and the claims ratios of other private automobile insurance lines of business, proxies for the ideal premium formation for having better system of frauds detection and prevention. The results indicate significant differences among the values. …”
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A novel SERRS sandwich-hybridization assay to detect specific DNA target. by Cécile Feuillie, Maxime Mohamad Merheb, Benjamin Gillet, Gilles Montagnac, Isabelle Daniel, Catherine Hänni

“…As the amount and type of damage highly depend on the preservation conditions, the present SERRS assay would enlarge the range of samples suitable for DNA analysis and ultimately would provide exciting new opportunities for the investigation of ancient DNA in the fields of evolutionary biology and molecular ecology, and of altered DNA in food frauds detection and forensics.…”
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Wine traceability and authenticity: approaches for geographical origin, variety and vintage assessment by Zava Andrea, Sebastião Pedro J., Catarino Sofia

“…Great importance was given to the study of isotopic composition because of its importance in food frauds detection history. The interaction of the plant genotype with the environmental conditions of the vintage is the main responsible for the wines organic and inorganic fraction variability in terms of both total and relative content. …”
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Quantification of Polyphenols and Metals in Chinese Tea Infusions by Mass Spectrometry by Gabriella Pinto, Anna Illiano, Andrea Carpentieri, Michele Spinelli, Chiara Melchiorre, Carolina Fontanarosa, Martino di Serio, Angela Amoresano

“…In this way, we obtained a molecular fingerprint useful for both nutraceutical applications and food control/typization, as well as for frauds detection and counterfeiting.…”
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Efficiency, Usability, and Outcomes of Proctored Next-Level Exams for Proficiency Testing in Primary Care Education: Observational Study by Birgitte Schoenmakers, Johan Wens

“…Background noise was the most critical event. There was no fraud detected. A supervisor app that registers and records behavior to prevent fraud during exams was efficient and did not affect exam outcomes. …”
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Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incrementa Approach by Kangqing Yu, Wei Shi, Nicola Santoro

“…To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth. …”
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Avaliação da qualidade físico-química do leite ultra pasteurizado comercializado no município de Erechim – RS | Physicochemical quality assessment of ultra-pasteurized milk commerc... by Leonardo Souza Rosa, Cassiane Marini Garbin, Luana Zamboni, Marlice Salete Bonacina

“…The sample’s quality was assessed by analyzing the following parameters: moisture, fat, protein, non-fat solids (NFS), ethanol stability 80%, relative density at 15ºC, acidity, cryoscopic index, and fraud detections by adding starch, formaldehyde, sodium hydroxide, hydrogen peroxide, and antibiotic residues. …”
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