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Items where Subject is "QA75 Electronic computers. Computer science"

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Abdallah, S., Benetos, E., Gold, N. , Hargreaves, S., Weyde, T. & Wolff, D. (2017). The digital music lab: A big data infrastructure for digital musicology. Journal on Computing and Cultural Heritage, 10(1), 2. doi: 10.1145/2983918

Abdulsalam, M., Ahiska, K. & Aouf, N. ORCID: 0000-0001-9291-4077 A novel UAV-integrated deep network detection and relative position estimation approach for weeds. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, doi: 10.1177/09544100221150284

Abrahamsen, M., Giannopoulos, P. ORCID: 0000-0002-6261-1961, Loffler, M. & Rote, G. (2020). Geometric Multicut: Shortest Fences for Separating Groups of Objects in the Plane. Discrete & Computational Geometry, 64, pp. 575-607. doi: 10.1007/s00454-020-00232-w

Abro, F. I., Rauf, F., Mobeen-ur-Rehman, , Chowdhry, B. S. & Rajarajan, M. (2019). Towards Security of GSM Voice Communication. Wireless Personal Communications, doi: 10.1007/s11277-019-06502-y

Acar, O. A. ORCID: 0000-0003-1993-0921, Dahl, D. W., Fuchs, C. & Schreier, M. (2021). When Do Consumers Prefer Crowdfunded Products?. Harvard Business Review,

Acarali, D., Rajarajan, M., Chema, D. & Ginzburg, M. (2020). Modelling DoS Attacks & Interoperability in the Smart Grid. 2020 29th International Conference on Computer Communications and Networks (ICCCN), doi: 10.1109/icccn49398.2020.9209671

Acarali, D., Rajarajan, M., Komninos, N. & Herwono, I. (2016). Survey of Approaches and Features for the Identification of HTTP-Based Botnet Traffic. Journal of Network and Computer Applications, doi: 10.1016/j.jnca.2016.10.007

Acarali, D., Rajarajan, M., Komninos, N. ORCID: 0000-0003-2776-1283 & Zarpelao, B. (2019). Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks, 2019, 3745619. doi: 10.1155/2019/3745619

Acarali, D. ORCID: 0000-0003-1787-6300, Rajesh Rao, K., Rajarajan, M. ORCID: 0000-0001-5814-9922 , Chema, D. & Ginzburg, M. (2022). Modelling smart grid IT-OT dependencies for DDoS impact propagation. Computers & Security, 112, 102528. doi: 10.1016/j.cose.2021.102528

Achichi, M., Cheatham, M., Dragisic, Z. , Euzenat, J., Faria, D., Ferrara, A., Flouris, G., Fundulaki, I., Harrow, I., Ivanova, V., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Kolthoff, K., Kuss, E., Lambrix, P., Leopold, H., Li, H., Meilicke, C., Mohammadi, M., Montanelli, S., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Stuckenschmidt, H., Thiéblin, E., Todorov, K., Trojahn, C. & Zamazal, O. (2017). Results of the ontology alignment evaluation initiative 2017. CEUR Workshop Proceedings, 2032, pp. 61-113.

Adams, R. A., Pinotsis, D. A. ORCID: 0000-0002-6865-8103, Tsirlis, K. , Unruh, L., Mahajan, A., Horas, A. M., Convertino, L., Summerfelt, A., Sampath, H., Du, X. M., Kochunov, P., Ji, J. L., Repovs, G., Murray, J. D., Friston, K. J., Hong, L. & Anticevic, A. (2022). Computational Modeling of Electroencephalography and Functional Magnetic Resonance Imaging Paradigms Indicates a Consistent Loss of Pyramidal Cell Synaptic Gain in Schizophrenia. Biological Psychiatry, 91(2), pp. 202-215. doi: 10.1016/j.biopsych.2021.07.024

Adamsky, F., Khayam, S. A., Jaeger, R. & Rajarajan, M. (2014). Stealing bandwidth from BitTorrent seeders. Computers & Security, 46, pp. 126-140. doi: 10.1016/j.cose.2014.07.009

Aeberhard, W., Cantoni, E., Marra, G. & Radice, R. ORCID: 0000-0002-6316-3961 (2021). Robust Fitting for Generalized Additive Models for Location, Scale and Shape. Statistics and Computing, 31, 11. doi: 10.1007/s11222-020-09979-x

Ahmad, H., Alias, M. A., Ismail, M. F. , Ismail, N. N., Zaini, M. K. A., Lim, K. S., Brambilla, G., Grattan, K. T. V. ORCID: 0000-0003-2250-3832 & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2022). Strain Sensor Based on Embedded Fiber Bragg Grating in Thermoplastic Polyurethane Using the 3D Printing Technology for Improved Sensitivity. Photonic Sensors, 12(3), 220302. doi: 10.1007/s13320-021-0646-1

Al Azwani, N. & Chen, T. ORCID: 0000-0001-8037-1685 (2018). Cyber Deterrence by Punishment: Role of Different Perceptions. Cyberpolitik Journal, 3(5), pp. 62-75.

Alam, S. S. & Jianu, R. (2016). Analyzing Eye-Tracking Information in Visualization and Data Space: from Where on the Screen to What on the Screen.. IEEE Transactions on Visualization and Computer Graphics, PP(99), doi: 10.1109/TVCG.2016.2535340

Alavi, Y., Jofre-Bonet, M., Bunce, C. V. , Wormald, R., Viswanathan, A., Foster, A. & Hitchings, R. (2011). Developing an algorithm to convert routine measures of vision into utility values for glaucoma. Ophthalmic Epidemiology, 18(5), pp. 233-243. doi: 10.3109/09286586.2011.602577

Alberdi, E., Becher, J.-C., Gilhooly, K. J. , Hunter, J., Logie, R., Lyon, A., McIntosh, N. & Reiss, J. (2001). Expertise and the interpretation of computerized physiological data: implications for the design of computerized monitoring in neonatal intensive care. International Journal of Human-Computer Studies, 55(3), pp. 191-216. doi: 10.1006/ijhc.2001.0477

Alberdi, E., Gilhooly, K. J., Hunter, J. , Logie, R., Lyon, A., McIntosh, N. & Reiss, J. (2000). Computerisation and decision making in neonatal intensive care: a cognitive engineering investigation. Journal of Clinical Monitoring and Computing, 16(2), pp. 85-94. doi: 10.1023/A:1009954623304

Alberdi, E., Povyakalo, A. A., Strigini, L. & Ayton, P. (2004). Effects of incorrect computer-aided detection (CAD) output on human decision-making in mammography. Academic Radiology, 11(8), pp. 909-918. doi: 10.1016/j.acra.2004.05.012

Alberdi, E., Strigini, L., Povyakalo, A. A. & Ayton, P. (2009). Why Are People's Decisions Sometimes Worse with Computer Support?. COMPUTER SAFETY, RELIABILITY, AND SECURITY, PROCEEDINGS, 5775, pp. 18-31. doi: 10.1007/978-3-642-04468-7_3

Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R. (2017). Deep Learning for Single-Molecule Science. Nanotechnology, doi: 10.1088/1361-6528/aa8334

Alessandretti, L., Lehmann, S. & Baronchelli, A. ORCID: 0000-0002-0255-0829 (2018). Understanding the interplay between social and spatial behaviour. EPJ Data Science, 7(1), 36. doi: 10.1140/epjds/s13688-018-0164-6

Algergawy, A., Cheatham, M., Faria, D. , Ferrara, A., Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Schmidt, D., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L. (2018). Results of the ontology alignment evaluation initiative 2018. CEUR Workshop Proceedings, 2288, pp. 76-116.

Algergawy, A., Faria, D., Ferrara, A. , Fundulaki, I., Harrow, I., Hertling, S., Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599, Karam, N., Khiat, A., Lambrix, P., Li, H., Montanelli, S., Paulheim, H., Pesquita, C., Saveta, T., Shvaiko, P., Splendiani, A., Thiéblin, E., Trojahn, C., Vataščinová, J., Zamazal, O. & Zhou, L. (2019). Results of the ontology alignment evaluation initiative 2019. CEUR Workshop Proceedings, 2536, pp. 46-85.

Alharbi, A. S., Halikias, G. ORCID: 0000-0003-1260-1383, Rajarajan, M. & Yamin, M. (2021). A review of effectiveness of Saudi E-government data security management. International Journal of Information Technology, 13, pp. 573-579. doi: 10.1007/s41870-021-00611-3

Ali, H., D'Avila Garcez, A.S., Tran, S.N. , Zhou, X. & Iqbal, K. (2014). Unimodal late fusion for NIST i-vector challenge on speaker detection. Electronics Letters, 50(15), pp. 1098-1100. doi: 10.1049/el.2014.1207

Alias, M. A., Ahmad, H., Samion, M. Z. , Sa'ad, M. S. M., Sing, L. K., Grattan, K. T. V. ORCID: 0000-0003-2250-3832, Rahman, B. M. ORCID: 0000-0001-6384-0961, Brambilla, G., Zaini, M. K. A., Bayang, L. & Ismail, M. F. (2022). Highly sensitive temperature-independent FBG-based sensor embedded in thermoplastic polyurethane using 3D printing technology for the measurements of torsion. Sensors and Actuators A: Physical, 346, 113889. doi: 10.1016/j.sna.2022.113889

Alkhuzai, K. & Denisova, A. ORCID: 0000-0002-1497-5808 (2021). Evaluating the Use of Persuasive Design Cards for Novice Designers. Journal of usability studies, 16(2), pp. 91-120.

Alonso, E., Fairbank, M. & Mondragon, E. ORCID: 0000-0003-4180-1261 (2015). Back to optimality: a formal framework to express the dynamics of learning optimal behavior. Adaptive Behavior, 23(4), pp. 206-215. doi: 10.1177/1059712315589355

Alonso, E. ORCID: 0000-0002-3306-695X & Mondragon, E. ORCID: 0000-0003-4180-1261 (2014). What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning. International Journal of Artificial Life Research, 4(1), pp. 1-12. doi: 10.4018/ijalr.2014010101

Alonso, E., Mondragon, E. ORCID: 0000-0003-4180-1261 & Fernandez, A. (2012). A Java simulator of Rescorla and Wagner's prediction error model and configural cue extensions. Computer Methods and Programs in Biomedicine, 108(1), pp. 346-355. doi: 10.1016/j.cmpb.2012.02.004

Alonso, E. & Schmajuk, N. (2012). Computational Models of Classical Conditioning guest editors’ introduction. Learning and Behavior, 40(3), pp. 231-240. doi: 10.3758/s13420-012-0081-7

Alrajeh, D., Russo, A., Lockerbie, J. , Maiden, N., Mavin, A. & Novak, M. J. (2013). Computational alignment of goals and scenarios for complex systems. 2013 35th International Conference on Software Engineering (ICSE), pp. 1249-1252. doi: 10.1109/ICSE.2013.6606690

Alt, H., Cabello, S., Giannopoulos, P. ORCID: 0000-0002-6261-1961 & Knauer, C. (2018). Minimum Cell Connection in Line Segment Arrangements. International Journal of Computational Geometry & Applications, 27(03), pp. 159-176. doi: 10.1142/s0218195917500017

Alvino, C. V., Unal, G. B., Slabaugh, G. G. , Peny, B. & Fang, T. (2007). Efficient segmentation based on Eikonal and diffusion equations. International Journal of Computer Mathematics, 84(9), pp. 1309-1324. doi: 10.1080/00207160701324249

Amálio, N. & Spanoudakis, G. (2008). From Monitoring Templates to Security Monitoring and Threat Detection. 2008 Second International Conference on Emerging Security Information, Systems and Technologies, pp. 185-192. doi: 10.1109/SECURWARE.2008.58

Ananda, A., Ngan, K. H. ORCID: 0000-0001-7623-942X, Karabağ, C. ORCID: 0000-0003-4424-0471 , Ter-Sarkisov, A., Alonso, E. ORCID: 0000-0002-3306-695X & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2021). Classification and Visualisation of Normal and Abnormal Radiographs: a comparison between Eleven Convolutional Neural Network Architectures. Sensors, 21(16), 5381. doi: 10.3390/s21165381

Andongabo, A. & Gashi, I. (2017). vepRisk - A Web Based Analysis Tool for Public Security Data. 2017 13th European Dependable Computing Conference (EDCC), pp. 135-138. doi: 10.1109/EDCC.2017.30

Andrienko, G. & Andrienko, N. (2015). Visualization Support to Interactive Cluster Analysis. Lecture Notes in Computer Science, 9286, pp. 337-340. doi: 10.1007/978-3-319-23461-8_43

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Anzer, G. , Bauer, P., Budziak, G., Fuchs, G., Hecker, D., Weber, H. & Wrobel, S. (2021). Constructing Spaces and Times for Tactical Analysis in Football. IEEE Transactions on Visualization and Computer Graphics, 27(4), pp. 2280-2297. doi: 10.1109/tvcg.2019.2952129

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Boldrini, C. , Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., Mathioudakis, M., Muntean, C. I., Pappalardo, L., Pedreschi, D., Pournaras, E., Pratesi, F., Tesconi, M. & Trasarti, R. (2020). (So) Big Data and the transformation of the city. International Journal of Data Science and Analytics, doi: 10.1007/s41060-020-00207-3

Andrienko, G., Andrienko, N., Budziak, G. , Dykes, J., Fuchs, G., Von Landesberger, T. & Weber, H. (2017). Visual Analysis of Pressure in Football. Data Mining and Knowledge Discovery, 31(6), pp. 1793-1839. doi: 10.1007/s10618-017-0513-2

Andrienko, G., Andrienko, N., Budziak, G. , Von Landesberger, T. & Weber, H. (2016). Coordinate transformations for characterization and cluster analysis of spatial configurations in football. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9853, pp. 27-31. doi: 10.1007/978-3-319-46131-1_6

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N., Cordero Garcia, J. M. , Hecker, D. & Vouros, G. (2022). Supporting Visual Exploration of Iterative Job Scheduling. IEEE Computer Graphics and Applications, 42(3), pp. 74-86. doi: 10.1109/MCG.2022.3163437

Andrienko, G., Andrienko, N., Dykes, J. , Kraak, M. J., Robinson, A. & Schumann, H. (2016). GeoVisual analytics: interactivity, dynamics, and scale. Cartography and Geographic Information Science, 43(1), pp. 1-2. doi: 10.1080/15230406.2016.1095006

Andrienko, G., Andrienko, N., Fuchs, G. & Cordero Garcia, J. M. (2018). Clustering Trajectories by Relevant Parts for Air Traffic Analysis. IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 34-44. doi: 10.1109/TVCG.2017.2744322

Andrienko, G., Andrienko, N., Fuchs, G. & Wood, J. (2017). Revealing Patterns and Trends of Mass Mobility through Spatial and Temporal Abstraction of Origin-Destination Movement Data. IEEE Transactions on Visualization and Computer Graphics, 23(9), pp. 2120-2136. doi: 10.1109/TVCG.2016.2616404

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Kureshi, I. , Lee, K., Smith, I. & Staykova, T. (2021). Automating and utilising equal-distribution data classification. International Journal of Cartography, 7(1), pp. 100-115. doi: 10.1080/23729333.2020.1863000

Andrienko, G., Andrienko, N., Mladenov, M. , Mock, M. & Pölitz, C. (2011). Identifying Place Histories from Activity Traces with an Eye to Parameter Impact.. IEEE Transactions on Visualization and Computer Graphics, 18(5), pp. 675-688. doi: 10.1109/TVCG.2011.153

Andrienko, N. & Andrienko, G. (2010). Spatial generalization and aggregation of massive movement data.. IEEE Transactions on Visualization and Computer Graphics, 17(2), pp. 205-219. doi: 10.1109/TVCG.2010.44

Andrienko, N. & Andrienko, G. (2017). State Transition Graphs for Semantic Analysis of Movement Behaviours. Information Visualization, doi: 10.1177/1473871617692841

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Adilova, L. , Wrobel, S. & Rhyne, T-M. (2022). Visual Analytics for Human-Centered Machine Learning. IEEE Computer Graphics and Applications, 42(1), pp. 123-133. doi: 10.1109/MCG.2021.3130314

Andrienko, N., Andrienko, G., Camossi, E. , Claramunt, C., Cordero Garcia, J. M., Fuchs, G., Hadzagic, M., Jousselme, A-L., Ray, C., Scarlatti, D. & Vouros, G. (2017). Visual exploration of movement and event data with interactive time masks. Visual Informatics, 1(1), pp. 25-39. doi: 10.1016/j.visinf.2017.01.004

Andrienko, N. ORCID: 0000-0002-8574-6295, Andrienko, G. ORCID: 0000-0002-8574-6295, Chen, S. & Fisher, B. (2022). Seeking Patterns of Visual Pattern Discovery for Knowledge Building. Computer Graphics Forum, 41(6), pp. 124-148. doi: 10.1111/cgf.14515

Andrienko, N., Andrienko, G. & Fuchs, G. (2014). Analysis of mobility behaviors in geographic and semantic spaces. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 341-342. doi: 10.1109/VAST.2014.7042556

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P. (2016). Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces. INFORMATION VISUALIZATION, 15(2), pp. 117-153. doi: 10.1177/1473871615581216

Andrienko, N., Andrienko, G., Fuchs, G. & Jankowski, P. (2015). Visual Analytics Methodology for Scalable and Privacy-Respectful Discovery of Place Semantics from Episodic Mobility Data. Lecture Notes in Computer Science, 9286, pp. 254-258. doi: 10.1007/978-3-319-23461-8_25

Andrienko, N., Andrienko, G., Fuchs, G. , Rinzivillo, S. & Betz, H-D. (2015). Real Time Detection and Tracking of Spatial Event Clusters. Lecture Notes in Computer Science, 9286, pp. 316-319. doi: 10.1007/978-3-319-23461-8_38

Andrienko, N., Andrienko, G., Fuchs, G. & Stange, H. (2014). Detecting and tracking dynamic clusters of spatial events. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 219-220. doi: 10.1109/VAST.2014.7042499

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Garcia, J. M. C. & Scarlatti, D. (2019). Analysis of Flight Variability: a Systematic Approach. IEEE Transactions on Visualization and Computer Graphics, 25(1), pp. 54-64. doi: 10.1109/TVCG.2018.2864811

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Miksch, S. , Schumann, H. & Wrobel, S. (2020). A theoretical model for pattern discovery in visual analytics. Visual Informatics, doi: 10.1016/j.visinf.2020.12.002

Andrienko, N. ORCID: 0000-0003-3313-1560, Andrienko, G. ORCID: 0000-0002-8574-6295, Patterson, F. & Stange, H. (2019). Visual Analysis of Place Connectedness by Public Transport. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/tits.2019.2924796

Andrienko, N., Andrienko, G. & Rinzivillo, S. (2016). Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics. Lecture Notes in Computer Science, 9853 L, pp. 32-35. doi: 10.1007/978-3-319-46131-1_7

Ang, C.S., Zaphiris, P. & Wilson, S. (2011). A case study analysis of a constructionist knowledge building community with activity theory. Behaviour and Information Technology, 30(5), pp. 537-554. doi: 10.1080/0144929X.2010.490921

Anglade, A., Benetos, E., Mauch, M. & Dixon, S. (2010). Improving music genre classification using automatically induced harmony rules. Journal of New Music Research, 39(4), pp. 349-361. doi: 10.1080/09298215.2010.525654

Anim-Sampong, S., Ohene-Botwe, B. ORCID: 0000-0002-0477-640X, Adom, E. B. & Tagoe, S. N. A. (2023). Dose optimization of adult head computed tomography examination in an academic hospital in Ghana. Radiation Physics and Chemistry, 205, 110735. doi: 10.1016/j.radphyschem.2022.110735

Anisetti, M., Ardagna, C. A., Guida, F. , Gürgens, S., Lotz, V., Maña, A., Pandolfo, C., Pazzaglia, J., Pujol, G. & Spanoudakis, G. (2010). ASSERT4SOA: Toward Security Certification of Service-Oriented Applications. OTM Workshops, 6428, pp. 38-40. doi: 10.1007/978-3-642-16961-8_11

Antwi, W. K., Akudjedu, T. N. & Ohene-Botwe, B. ORCID: 0000-0002-0477-640X (2021). Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives. Insights into Imaging, 12, 80. doi: 10.1186/s13244-021-01028-z

Apostolou, D., Zachos, K., Maiden, N. , Agell, N., Sanchez-Hernandez, G., Taramigkou, M., Star, K. & Wippoo, M. (2016). Facilitating Creativity in Collaborative Work with Computational Intelligence Software. IEEE Computational Intelligence Magazine, 11(2), pp. 29-40. doi: 10.1109/MCI.2016.2532266

Arafat, R. (2021). Examining Diaspora Journalists' Digital Networks and Role Perceptions: A Case Study of Syrian Post-Conflict Advocacy Journalism. Journalism Studies, 22(16), pp. 2174-2196. doi: 10.1080/1461670X.2021.1990110

Arafat, R. ORCID: 0000-0002-6778-0107 (2022). Rethinking digital media use for diasporic political participation: An investigation into journalism advocacy, digital activism, and democratic divides (Dissertation summary). Studies in Communication Sciences, 22(3), pp. 561-574. doi: 10.24434/j.scoms.2022.03.3878

Ardagna, C. A., Bena, N., Hebert, C. , Krotsiani, M., Kloukinas, C. ORCID: 0000-0003-0424-7425 & Spanoudakis, G. ORCID: 0000-0002-0037-2600 (2023). Big Data Assurance: An Approach Based on Service-Level Agreements. Big Data, doi: 10.1089/big.2021.0369

Ardagna, D., Baresi, L., Comai, S. , Comuzzi, M. & Pernici, B. (2011). A Service-Based Framework for Flexible Business Processes. IEEE Software, 28(2), pp. 61-67. doi: 10.1109/MS.2011.28

Are, C. (2020). How Instagram’s algorithm is censoring women and vulnerable users but helping online abusers. Feminist Media Studies, doi: 10.1080/14680777.2020.1783805

Are, C. (2020). A corpo-civic space: A notion To address social media’s corporate/civic hybridity. First Monday, 25(6), doi: 10.5210/fm.v25i6.10603

Arias-Tamargo, G., He, Y-H. ORCID: 0000-0002-0787-8380, Heyes, E. , Hirst, E. ORCID: 0000-0003-1699-4399 & Rodriguez-Gomez, D. (2022). Brain webs for brane webs. Physics Letters B, 833, 137376. doi: 10.1016/j.physletb.2022.137376

Arsalan, M., Qureshi, A., Khan, A. U. & Rajarajan, M. (2017). Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique. Applied Soft Computing Journal, 51, pp. 1668-179. doi: 10.1016/j.asoc.2016.11.044

Arsovski, S., Wong, S. & Cheok, A. D. ORCID: 0000-0001-6316-2339 (2018). Open-domain neural conversational agents: The step towards artificial general intelligence. International Journal of Advanced Computer Science and Applications, 9(6), pp. 402-408. doi: 10.14569/IJACSA.2018.090654

Arunkumar, S., Sensoy, M., Srivatsa, M. & Rajarajan, M. (2015). Reasoning with Streamed Uncertain Information from Unreliable Sources. Expert Systems with Applications, 42(22), pp. 8381-8392. doi: 10.1016/j.eswa.2015.04.031

Asad, H. & Gashi, I. ORCID: 0000-0002-8017-3184 (2022). Dynamical Analysis of Diversity in Rule-Based Open Source Network Intrusion Detection Systems. Empirical Software Engineering, 27(1), 4. doi: 10.1007/s10664-021-10046-w

Asad, M. & Slabaugh, G. G. (2017). Staged Probabilistic Regression for Hand Orientation Inference. Computer Vision and Image Understanding, 161, pp. 114-129. doi: 10.1016/j.cviu.2017.05.009

Asano, R., Bornus, P., Craft, J. , Dolscheid, S., Faber, S., Haase, V., Heimerich, M., Kopparti, R. M., Lobben, M., Osawa, A., Oudyk, K., Trettenbrein, P., Varelmann, T., Wehrle, S., Ya, R., Grice, M. & Vogeley, K. (2018). Spring School on Language, Music, and Cognition: Organizing Events in Time. Music & Science, 1, pp. 1-17. doi: 10.1177/2059204318798831

Ashford, D. (2017). The Mechanical Turk: Enduring Misapprehensions Concerning Artificial Intelligence. The Cambridge Quarterly, 46(2), pp. 119-139. doi: 10.1093/camqtly/bfx005

Ashford, M., Olander, E. K. & Ayers, S. (2016). Finding Web-Based Anxiety Interventions on the World Wide Web: A Scoping Review. JMIR Mental Health, 3(2), e14. doi: 10.2196/mental.5349

Asif, W., Lestas, M., Khaliq Qureshi, H. & Rajarajan, M. (2016). Optimization based spectral partitioning for node criticality assessment. Journal of Network and Computer Applications, 75, pp. 279-292. doi: 10.1016/j.jnca.2016.09.003

Asif, W., Lestas, M., Qureshi, H. K. & Rajarajan, M. (2015). Spectral Partitioning for Node Criticality. 2015 IEEE Symposium on Computers and Communication (ISCC), pp. 877-882. doi: 10.1109/ISCC.2015.7405624

Asif, W., Qureshi, H. K., Rajarajan, M. & Lestas, M. (2016). Combined Banzhaf & Diversity Index (CBDI) for critical node detection. Journal of Network and Computer Applications, 64, pp. 76-88. doi: 10.1016/j.jnca.2015.11.025

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