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1. Intersectionality in Education: Rationale and Practices to Address the Needs of Students' Intersecting Identities. OECD Education Working Papers. No. 302

Author

Organisation for Economic Cooperation and Development (OECD) (France), Directorate for Education and Skills, Samo Varsik, and Julia Gorochovskij

Abstract

Intersectionality highlights that different aspects of individuals' identities are not independent of each other. Instead, they interact to create unique identities and experiences, which cannot be understood by analysing each identity dimension separately or in isolation from their social and historical contexts. Intersectional approaches in this way question the common classification of individuals into groups (male vs. female, immigrant vs. native etc.), which raises important implications for the policy-making process. In education, analyses with an intersectional lens have the potential to lead to better tailored and more effective policies and interventions related to participation, learning outcomes, students' attitudes towards the future, identification of needs, and socio-emotional well-being. Consequently, as elaborated in this paper, some countries have adjusted their policies in the areas of governance, resourcing, developing capacity, promoting school-level interventions and monitoring, to account for intersectionality. Gaps and challenges related to intersectional approaches are also highlighted.

Published
2023
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2. Toward a Practical Set of STEM Transfer Program Momentum Metrics. CCRC Working Paper No. 127

Author

Columbia University, Community College Research Center, Fink, John, Myers, Taylor, Sparks, Daniel, and Jaggars, Shanna

Abstract

Nearly two decades into the "completion agenda" in higher education, many community colleges have adopted collegewide reforms designed to improve stubbornly flat rates of student success and address persistent equity gaps. The longer-term effects of such collegewide reforms may take years to observe. In the meantime, college leaders need to know whether changes they make in the short run are associated with longer-term student success. Measuring the progress and effects of institutional reform is particularly vital in economically important STEM fields. Drawing on administrative records from transfer-intending community college starters across three states, this study develops and explores potential indicators of early STEM program momentum. We find that a relatively simple set of STEM momentum metrics--notably early completion of calculus or non-math STE coursework specified in statewide STEM transfer pathways and, to a lesser degree, the prerequisites to such courses--are reliable indicators of subsequent STEM transfer and bachelor's degree attainment. Our findings provide support for the use of the STEM momentum metrics to formatively evaluate reforms aimed at strengthening STEM transfer outcomes and closing equity gaps in STEM bachelor's degree attainment.

Published
2021

3. The Design of Upper Secondary Education across OECD Countries: Managing Choice, Coherence and Specialisation. OECD Education Working Papers. No. 288

Author

Organisation for Economic Cooperation and Development (OECD) (France), Directorate for Education and Skills and Stronati, Camilla

Abstract

How is upper secondary education organised across OECD countries? This level of education, which most frequently serves students aged between 15 to 18, is generally the first time when learners have significant capacity to shape the content of their learning, for example by opting for general or vocational education, choosing their subjects and developing a specialisation. Across the OECD, education systems have developed different ways to be responsive to different student needs and interests while trying to ensure that learners develop coherent foundational skills. This paper captures the diversity of countries' upper secondary systems by: (1) developing a common language that sets the foundation for internationally comparative analysis; (2) categorising how countries organise their programmes in upper secondary education to manage choice, coherence and specialisation; and (3) identifying benefits and strategies to mitigate the risks associated with different approaches to upper secondary programmes for students, education systems and society.

Published
2023
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4. Paper Fingerprint by Forming Fabric: Analysis of Periodic Marks with 2D Lab Formation Sensor and Artificial Neural Network for Forensic Document Dating

Author

Yong Ju Lee, Chang Woo Jeong, and Hyoung Jin Kim

Subjects
forensic document dating, copy paper, classification, artificial neural network (ann), support vector machine (svm), Biotechnology, TP248.13-248.65
Abstract

The increasing rates of illicit behaviors, particularly financial crimes, e.g., bank fraud and tax evasion, adversely affect national economies. In such cases, using nondestructive methods, scientists must evaluate relevant documents carefully to preserve their value as evidence. When forensic laboratories analyze paper as evidence, they typically investigate its origin and date of manufacture. If a document’s date is earlier than the earliest availability of the paper used in its creation, then this anachronism indicates that the document has been backdated. This study investigated weave marks and drainage marks for forensic purposes. Machine learning models for forensic document examination were developed and evaluated. The partial least squares discriminant analysis (PLS-DA), support vector machine (SVM), and artificial neural network (ANN) classification models achieved F1-scores of 0.903, 0.952, and 0.931, respectively. In addition, to enhance model effectiveness and construct a robust model, variables were selected using the VIP scores generated by the PLS-DA model. As a result, the SoftMax classifier in the ANN model maintained its performance with an F1-score of 0.951 even with a 50% reduction in the number of input variables.

Published
2024

5. One-Dimensional Convolutional Neural Networks with Infrared Spectroscopy for Classifying the Origin of Printing Paper

Author

Sung-Wook Hwang, Geunyong Park, Jinho Kim, Kwang-Ho Kang, and Won-Hee Lee

Subjects
classification, convolutional neural network, printing paper, infrared spectroscopy, data point attribution, Biotechnology, TP248.13-248.65
Abstract

Herein, the challenge of accurately classifying the manufacturing origin of printing paper, including continent, country, and specific product, was addressed. One-dimensional convolutional neural network (1D CNN) models trained on infrared (IR) spectrum data acquired from printing paper samples were used for the task. The preprocessing of the IR spectra through a second-derivative transformation and the restriction of the spectral range to 1800 to 1200 cm-1 improved the classification performance of the model. The outcomes were highly promising. Models trained on second-derivative IR spectra in the 1800 to 1200-cm-1 range exhibited perfect classification for the manufacturing continent and country, with an impressive F1 score of 0.980 for product classification. Notably, the developed 1D CNN model outperformed traditional machine learning classifiers, such as support vector machines and feed-forward neural networks. In addition, the application of data point attribution enhanced the transparency of the decision-making process of the model, offering insights into the spectral patterns that affect classification. This study makes a considerable contribution to printing paper classification, with potential implications for accurate origin identification in various fields.

Published
2024

7. Patterns, Determinants, and Consequences of Ability Tracking: Evidence from Texas Public Schools. Working Paper 30370

Author

National Bureau of Economic Research (NBER), Antonovics, Kate, Black, Sandra E., Cullen, Julie Berry, and Meiselman, Akiva Yonah

Abstract

Schools often track students to classes based on ability. Proponents of tracking argue it is a low-cost tool to improve learning since instruction is more effective when students are more homogeneous, while opponents argue it exacerbates initial differences in opportunities without strong evidence of efficacy. In fact, little is known about the pervasiveness or determinants of ability tracking in the US. To fill this gap, we use detailed administrative data from Texas to estimate the extent of tracking within schools for grades 4 through 8 over the years 2011-2019. We find substantial tracking; tracking within schools overwhelms any sorting by ability that takes place across schools. The most important determinant of tracking is heterogeneity in student ability, and schools operationalize tracking through the classification of students into categories such as gifted and disabled and curricular differentiation. When we examine how tracking changes in response to educational policies, we see that schools decrease tracking in response to accountability pressures. Finally, when we explore how exposure to tracking correlates with student mobility in the achievement distribution, we find positive effects on high-achieving students with no negative effects on low-achieving students, suggesting that tracking may increase inequality by raising the ceiling.

Published
2022

8. Reference Classification Using BERT Models to Support Scientific-Document Writing

Author

Hosokawa, Ryoma, Yamato, Junji, Higashinaka, Ryuichiro, Kikui, Genichiro, Sugiyama, Hiroaki, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Bono, Mayumi, editor, Takama, Yasufumi, editor, Satoh, Ken, editor, Nguyen, Le-Minh, editor, and Kurahashi, Setsuya, editor

Published
2024
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9. On the Classification of Cytological Images of Leukocytes Using Depthwise Separable Convolutional Neural Networks

Author

Shchetinin, E. Yu., Glushkova, A. G., Demidova, A. V., Sevastianov, L. A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Vishnevskiy, Vladimir M., editor, Samouylov, Konstantin E., editor, and Kozyrev, Dmitry V., editor

Published
2024
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11. Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-Provoking Crucial Research Area

Author

Deshmukh, Manisha S., Kolhe, Satish R., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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13. A Robust and Explainable Deep Learning Method for Cervical Cancer Screening

Author

Di Giammarco, Marcello, Mercaldo, Francesco, Zhou, Xiaoli, Huang, Pan, Santone, Antonella, Cesarelli, Mario, Martinelli, Fabio, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mahmud, Mufti, editor, Ben-Abdallah, Hanene, editor, Kaiser, M. Shamim, editor, Ahmed, Muhammad Raisuddin, editor, and Zhong, Ning, editor

Published
2024
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14. Real-Time Multi-objects Detection Using YOLOv7 for Advanced Driving Assistant Systems

Author

Solunke, Babruvan R., Gengaje, Sachin R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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20. Riemannian ElectroCardioGraphic Signal Classification

Author

Appriou, Aurélien, Lotte, Fabien, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Riascos Salas, Jaime A., editor, Cota, Vinícius Rosa, editor, Villota, Hernán, editor, and Betancur Vasquez, Daniel, editor

Published
2024
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22. Automatic Identification of Meimayakkam in Tamil Words Using Rule Based and Transfer Learning Approaches

Author

Vinoth, A., Thangasamy, Sathiyaraj, Nithya, R., Poovandran, G., Mounash, V., Subalalitha, C. N., Ariharasuthan, R., Arunachalam, Parameshwar, Jafer, K. Syed, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakravarthi, Bharathi Raja, editor, B, Bharathi, editor, García Cumbreras, Miguel Ángel, editor, Jiménez Zafra, Salud María, editor, Subramanian, Malliga, editor, Shanmugavadivel, Kogilavani, editor, and Nakov, Preslav, editor

Published
2024
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23. Multilingual Fake News Detection in Low-Resource Languages: A Comparative Study Using BERT and GPT-3.5

Author

Anirudh, K., Srikanth, Meghana, Shahina, A., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakravarthi, Bharathi Raja, editor, B, Bharathi, editor, García Cumbreras, Miguel Ángel, editor, Jiménez Zafra, Salud María, editor, Subramanian, Malliga, editor, Shanmugavadivel, Kogilavani, editor, and Nakov, Preslav, editor

Published
2024
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24. Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey

Author

Taye Zewde, Elbetel, Melese Motuma, Mersibon, Megersa Ayano, Yehualashet, Girma Debelee, Taye, Wolde Feyisa, Degaga, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Debelee, Taye Girma, editor, Ibenthal, Achim, editor, Schwenker, Friedhelm, editor, and Megersa Ayano, Yehualashet, editor

Published
2024
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25. Distributed and Collaborative Learning Approach for Stroke Prediction

Author

Aissaoui, Firas, Boudali, Imen, Abdellatif, Takoua, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mosbah, Mohamed, editor, Kechadi, Tahar, editor, Bellatreche, Ladjel, editor, Gargouri, Faiez, editor, Guegan, Chirine Ghedira, editor, Badir, Hassan, editor, Beheshti, Amin, editor, and Gammoudi, Mohamed Mohsen, editor

Published
2024
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26. Fuzzy Inference with Sequential Fuzzy Indexed Search Trees

Author

Tusor, Balázs, Takáč, Ondrej, Gubo, Štefan, Várkonyi-Kóczy, Annamária R., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ono, Yukinori, editor, and Kondoh, Jun, editor

Published
2024
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27. A Subtle Design of Prediction Models Using Machine Learning Algorithms for Advocating Selection and Forecasting Sales of Garments: A Case Study

Author

Rout, Dillip, Roy, Bholanath, Kapse, Prasanna, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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28. SMBOX: A Scalable and Efficient Method for Sequential Model-Based Parameter Optimization

Author

Salhi, Tarek, Woodward, John, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Pardalos, Panos M., editor, and Umeton, Renato, editor

Published
2024
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29. Classification of Exaggerated News Headlines

Author

Rangata, Mapitsi Roseline, Sefara, Tshephisho Joseph, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Santosh, KC, editor, and Patel, Atul, editor

Published
2024
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30. A Multi-layered Approach to Brain Tumor Classification Using VDC-12

Author

Mehta, Anant, Sengupta, Prajit, Rana, Prashant Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Aurelia, Sagaya, editor, J., Chandra, editor, Immanuel, Ashok, editor, Mani, Joseph, editor, and Padmanabha, Vijaya, editor

Published
2024
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31. Diabetes Prediction Using Machine Learning: A Detailed Insight

Author

Thakur, Gour Sundar Mitra, Dutta, Subhayu, Das, Bratajit, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Aurelia, Sagaya, editor, J., Chandra, editor, Immanuel, Ashok, editor, Mani, Joseph, editor, and Padmanabha, Vijaya, editor

Published
2024
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32. Sugarcane Bud Detection Using YOLOv5

Author

Sindhe, P. Swathi, Hegadi, Ravindra S., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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33. Image Classification Using Federated Learning

Author

Byeon, Haewon, Ullah, Ajdar, Syed, Ziauddin, Siddiqui, Alighazi, Aftab, Aasif, Sarfaraz, Mohd, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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34. 3D Object Detection Method Based on LiDAR Point Cloud Data

Author

Wang, Shufan, Chen, Zeqiu, Sun, Shulin, Li, Jiayao, Sun, Ruizhi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Wang, Tong, editor, Fan, Hongfei, editor, Liu, Dongning, editor, and Du, Bowen, editor

Published
2024
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35. A Collaborative Multi-objective Approach for Clustering Task Based on Distance Measures and Clustering Validity Indices

Author

Azevedo, Beatriz Flamia, Rocha, Ana Maria A. C., Pereira, Ana I., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Moosaei, Hossein, editor, Hladík, Milan, editor, and Pardalos, Panos M., editor

Published
2024
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36. Consumers Financial Distress: Prediction and Prescription Using Machine Learning

Author

de Waal, Hendrik, Nyawa, Serge, Wamba, Samuel Fosso, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Moosaei, Hossein, editor, Hladík, Milan, editor, and Pardalos, Panos M., editor

Published
2024
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37. Classification of Text and Non-text Components Present in Offline Unconstrained Handwritten Documents Using Convolutional Neural Network

Author

Sarkar, Bhaskar, Risat, Saikh, Laha, Asha, Pattanayak, Sanchari, Bhowmik, Showmik, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dasgupta, Kousik, editor, Mukhopadhyay, Somnath, editor, Mandal, Jyotsna K., editor, and Dutta, Paramartha, editor

Published
2024
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38. Machine Learning Based Plant Disease Detection Using EfficientNet B7

Author

Bairwa, Amit Kumar, Joshi, Sandeep, Chaudhary, Shikha, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tabares, Marta, editor, Vallejo, Paola, editor, Suarez, Biviana, editor, Suarez, Marco, editor, Ruiz, Oscar, editor, and Aguilar, Jose, editor

Published
2024
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39. Electroencephalogram Based Stress Detection Using Machine Learning

Author

Ohal, Hemlata, Tiwari, Abhishek, Satote, Kiran, Zagade, Sakshi, Tule, Vaishnavi, Garad, Ajinkya, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Owoc, Mieczyslaw Lech, editor, Varghese Sicily, Felix Enigo, editor, Rajaram, Kanchana, editor, and Balasundaram, Prabavathy, editor

Published
2024
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40. COOL: Classification of Online Offensive Language Using Machine Learning and Deep Learning

Author

Bhamidi, Manjari, Nandyala, Manvitha, Dayalan, Ragapriya, Karthik, N., Vani, V., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Owoc, Mieczyslaw Lech, editor, Varghese Sicily, Felix Enigo, editor, Rajaram, Kanchana, editor, and Balasundaram, Prabavathy, editor

Published
2024
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41. Towards Fast Detection and Classification of Moving Objects

Author

Palma-Ugarte, Joaquin, Estacio-Cerquin, Laura, Flores-Benites, Victor, Mora-Colque, Rensso, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, de Sousa, A. Augusto, editor, Bashford-Rogers, Thomas, editor, Paljic, Alexis, editor, Ziat, Mounia, editor, Hurter, Christophe, editor, Purchase, Helen, editor, Radeva, Petia, editor, Farinella, Giovanni Maria, editor, and Bouatouch, Kadi, editor

Published
2024
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42. Semi-supervised Task Aware Image-to-Image Translation

Author

Mütze, Annika, Rottmann, Matthias, Gottschalk, Hanno, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, de Sousa, A. Augusto, editor, Bashford-Rogers, Thomas, editor, Paljic, Alexis, editor, Ziat, Mounia, editor, Hurter, Christophe, editor, Purchase, Helen, editor, Radeva, Petia, editor, Farinella, Giovanni Maria, editor, and Bouatouch, Kadi, editor

Published
2024
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45. A Multi-dimensional Survey on Learning from Imbalanced Data

Author

Akritidis, Leonidas, Bozanis, Panayiotis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bourbakis, Nikolaos, editor, Tsihrintzis, George A., editor, Virvou, Maria, editor, and Jain, Lakhmi C., editor

Published
2024
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47. Novel AI-Dependent Intrusion Detection System for IoT-Enabled Smart City Applications

Author

Nalini, M., Priyadharshini, R. Sri, Keerthana, C. V., Bharathi, N. P. Devi, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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48. Enhanced Heart Disease Classification Using Parallelization and Integrated Machine-Learning Techniques

Author

Panda, Subham, Gupta, Rishik, Kumar, Chandan, Mishra, Rashi, Gupta, Saransh, Bhardwaj, Akash, Kumar, Pratiksh, Shukla, Prakhar, kumar, Bagesh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kaur, Harkeerat, editor, Jakhetiya, Vinit, editor, Goyal, Puneet, editor, Khanna, Pritee, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2024
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49. Effective-LDAM: An Effective Loss Function to Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification

Author

Sree Rama Vamsidhar, S., Nunna, Bhargava Satya, Gorthi, Rama Krishna, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Kaur, Harkeerat, editor, Jakhetiya, Vinit, editor, Goyal, Puneet, editor, Khanna, Pritee, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2024
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