- Anca Apătean -
Researcher, Associate Professor
* Lupu, E., Apatean, A., Arsinte, R., Speaker Diarization Experiments for Romanian Parliamentary Speech, , ISSCS2015- Proceedings of International Symposium on Signals, Circuits and Systems, Iasi, Romania , July 9-10, 2015
* Apatean, A., Rogozan, A., Bensrhair, A., Contributions to the information fusion. Application to obstacle recognition in visile and infrared images, , UTPress2015- Online Book at http://biblioteca.utcluj.ro/carti-online.html, 173 pages, 2015
* Apatean, A., Rogozan,A., Bensrhair,A., Visible-Infrared Fusion Schemes for Road Obstacle Classification , Journal of Transportation Research Part C: Emerging Technologies,TRPC2013, Volume 35 (2013), pp. 180-192, IF 2014: 2.820, ISSN: 0968-090X, http://dx.doi.org/10.1016/j.trc.2013.07.003, ELSEVIER, 3 times cited
List of Publications
1 book ch, 2 ISI Journals (TRPC2013 with IF 2014: 2.820) + 12 ISI Conference proceedings
cited 81 times from which 11 in 2014, 16 in 2015
cited in ISI Journals (indexed WoS)(40 times) and International books (3 times)
Revues/Journals
v_2013-TRPC:
Apatean, A., Rogozan,A., Bensrhair,A., Visible-Infrared Fusion Schemes for Road Obstacle Classification , Journal of Transportation Research Part C: Emerging Technologies,TRPC2013, Volume 35 (2013), pp. 180-192, IF 2014: 2.820, ISSN: 0968-090X, http://dx.doi.org/10.1016/j.trc.2013.07.003, ELSEVIER,
ISI Web of Knowledge (WOS:000326414400012), Scopus, GoogleScholar
article source: Science Direct
1 Award: Planul National de Cercetare, Dezvoltare si Inovare 2007-2013, PNII - program Resurse Umane, subprogram "Premierea rezultatelor cercetarii (articole)", PN-II-RU-PRECISI-2013-7, award: Science Citation Index Expanded & Social Sciences Citation Index, subdomain ISI: Science - TRANSPORTATION SCIENCE & TECHNOLOGY,
ISI red zone
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2017: (ISI?): Glaholt, Mackenzie G., et al. "Evaluation of fused imagery using eye movement-based measures of perceptual processing." Information Fusion (2017).
2017: (ISI?): Glaholt, Mackenzie G., and Grace Sim. "Gaze-Contingent Center-Surround Fusion of Infrared Images to Facilitate Visual Search for Human Targets." Journal of Imaging Science and Technology 61.1 (2017): 10401-1.
2016: (ISI_BookCh) Emerich, S., Lupu, E., Belean, B., Crisan, S., Image analysis and coding based on ordinal data representation, Studies in Computational Intelligence, vol. 630, pp. 281-303, DOI: 10.1007/978-3-319-28854-3_11, ISBN: 978-3-319-28854-3, http://www.springer.com/us/book/9783319288529, WOS:000388669100012
2015: Brehar, R., Vancea, C., Mariţa, T., Giosan, I., Nedevschi, S., Pedestrian detection in the context of multiple-sensor data alignment for far-infrared and stereo vision sensors, Proceedings - 2015 IEEE 11th International Conference on Intelligent Computer Communication and Processing, ICCP 2015, art. no. 7312690, pp. 385-392. DOI: 10.1109/ICCP.2015.7312690.
2015: (v_ISI) A Miron, A Rogozan, S Ainouz, A Bensrhair, A Broggi, An evaluation of the pedestrian classification in a multi-domain multi-modality setup, Sensors, vol 15, issue 6, 13851-13873; Journal(IF 2014:2.2) doi:10.3390/s150613851, 2015-mdpi.com, WOS:000357869200090.
2015: (v_ISI) CC Murray, AG Chu, The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery, Transportation Research Part C: Emerging Technologies, Vol.54, May 2015, Pp. 86-109, 2015, Journal(Elsevier, IF2014:2.82), WOS:000353871700006.
2013: (v_ISI) Zong, F., Zhang, H., Xu, H., Zhu, X., Wang, L., Predicting severity and duration of road traffic accident, Journal (Hindawi, IF 2013:1.082) Mathematical Problems in Engineering, 2013, art. no. 547904, DOI: 10.1155/2013/547904., WOS:000328387500001.
Google Scholar- cited 1 time:
2016: S. Emerich, R. Malutan, S. Crisan, L. Lefkovits, Iris Indexing based on Local Intensity Order Pattern, Conference Paper, https://www.researchgate.net/publication/311571942
2008-ESDA:
Apatean, A., Emerich, S., Obstacle Recognition by the use of different wavelet families in Visible and Infrared Images, ESDA2008, Carpathian Journal of Electronic and Computer Engineering, Vol. 1, Nr. 1, 2008, ISSN 1844-9689.
CNCSIS B+, IndexCopernicus
article source: ResearchGate
2017-ACTA:
Buhus, R., Apatean, A., State of the Art: Methods for Video Based Fire Detection Via Stationary Camera, ACTA2017, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 1/2017, Vol. 58, pp.6-11, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2016-ACTA e:
Apatean, A., Experimenting Features Selection Methods In WEKA For Computer Vision, ACTA2016 e, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 4/2016, Vol. 57, pp.27-35, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2016-ACTA d:
Apatean, A., Designing efficient multimodal classification systems based on features and SVM kernels selection, ACTA2016 d, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 3/2016, Vol. 57, pp.1-9, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2016-ACTA c:
E. Buhus, D. Timis,Apatean, A., Automatic Parking Access Using OPENALPR On Raspberry PI3, ACTA2016 c, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 3/2016, Vol. 57, pp.10-15, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2016-ACTA b:
Apatean, A., Dunca F., An Intelligent Eye-Detection Based, Vocal E-Book Reader for the Internet Of Things, ACTA2016 b, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 2/2016, Vol. 57, pp. 9-14, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2016-ACTA a:
Apatean, A., Abrudean D., Designing and Implementation of a PV Polycrystalline Panel-Based, Two-Axis Solar Tracking System, ACTA2016 a, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 2/2016, Vol. 57, pp.1-8, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2015-ACTA:
Apatean, A., Misaros, C., Using a PLC to Command a Plastic Injection Molding Machine, ACTA2015, Acta Tehnica Napocensis. Electronics and Telecommunications, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 3/2015, Vol. 56, pp.1-6, ISSN: 1221-6542. CNCSIS B+, Google Scholar
CNCSIS B+, Google Scholar
article source: ATN
2008-ACTA:
Apatean, A., Emerich, S., Rogozan A., Bensrhair A., Wavelets as Features for Objects Recognition, ACTA2008, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 2/2008, Vol. 49, ISSN: 1221-6542.
CNCSIS B+, Google Scholar
article source: ResearchGate
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2015: Shereena V. B. and Julie M. David, Significance of dimensionality reduction in image processing, Signal & Image Processing: An Int. Journal(SIPIJ) Vol.6, No.3, June 2015 DOI:10.5121/sipij.2015.6303 27, http://airccse.org/journal/sipij/papers/6315sipij03.pdf, RG
2015: Shereena V. B. and Julie M. David, Comparative study of dimensionality reduction techniques using PCA and LDA for content based image retrieval, 10.5121/csit.2015.50905, CSTY, SIGI, AI, MaVaS - 2015 pp. 41-55, 2015., http://airccj.org/CSCP/vol5/csit54005.pdf, RG
2014: Tripathi, A K., Combined Application of Color Histogram and Wavelet Techniques for Content based Image Retrieval, Int. Journal of Computer Applications 94.10(2014),ProQuest
2007-ACTA:
Discant, A., Rogozan, A., Rusu, C., Bensrhair, A., Sensors for Obstacle Detection in Traffic Scene Situation, ACTA2007, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 1/2007, pp. 29-34, Vol. 48, ISSN: 1221-6542.
CNCSIS B+, Google Scholar
article source: ResearchGate
2006-ACTA:
Kovacs, L., Discant, A., Rus, C., Demea, S., Comparing methods for extraction of relevant information of iris, ACTA2006, Acta Tehnica Napocensis. Electronics and Telecommunications, Nr. 2/2006, pp. 30-33, Vol. 47, ISSN: 1221-6542.
CNCSIS B+, Google Scholar
article source: ResearchGate
2006-IJCCC:
Grama, L., Discant, A., Kramers-Kronig Relationship Computation by Gaussian Quadrature, International Journal of Computers, Communications and Control, IJCCC2006, IF: 0.694, vol. 1, Nr. Supplement S, pp. 239-244, June 2006, ISSN: 1841-9836.
ISI Web of Knowledge (WOS:000203014800039), Google Scholar
article source: ResearchGate
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2011: Grama, L., Chis, A., "Kramers-Kronig computations in logarithmic frequency domain.",SPAMEC2011, http://www.eurasip.org/Proceedings/Ext/SPAMEC2011/papers/SPAMEC_2011_IV_3.pdf, 2011
Conferences
v_2015-ISSCS:
E. Lupu, Apatean, A., R. Arsinte, Speaker Diarization Experiments for Romanian Parliamentary Speech, ISSCS 2015, 10.1109/ISSCS.2015.7204023, Proc. of the Int. Symposium on Signals, Circuits and Systems, Iasi, Romania, July 9-10, 2015
ISI Web of Knowledge (WOS:???-to be indexed), Scopus, GoogleScholar, IEEEXplore DOI: 10.1109/ISSCS.2015.7204023
article source: IEEE Xplore
v_2010-ITSC:
B. Besbes, Apatean, A., A. Rogozan, A. Bensrhair, Combining SURF-based Local and Global Features for Road Obstacle Recognition in Far Infrared Images, 13th Int. IEEE Conference on Intelligent Transportation Systems (ITSC2010), 19-22 Sept.2010, Madeira Island, Portugal, pp. 1869-1874, ISBN: 978-1-4244-7657-2, DOI: 10.1109/ITSC.2010.5625285.
IEEE Explore, Scopus, Google Scholar
article source: IEEE Xplore
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2016: (vISI) Cai, Yingfeng; Sun, Xiaoqiang; Wang, Hai; et al. , Night-Time Vehicle Detection Algorithm Based on Visual Saliency and Deep Learning, JOURNAL OF SENSORS, Article Number: 8046529,Published: 2016, WOS:000389578300001
2016: (vISI) Yang, DongWon; Park, HyunWook, A New Shape Feature for Vehicle Classification in Thermal Video Sequences, IEEE Transactions on Circuits and Systems for Video Technology, Volume 26, Issue 7, July 2016, Article number 7150363, Pages 1363-1375, DOI: 10.1109/TCSVT.2015.2452780, WOS:000384075100013 (Article)
2016: (vISI) Emerich, Simina; Malutan, Raul; Lupu, Eugen; et al., Patch Based Descriptors for Iris Recognition, Proceedings - 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing, ICCP 2016 Book Series: IEEE, Nov. 2016, Article number 7737145, Pages 187-191, Edited by: Potolea, R; Slavescu, RR, Category numberCFP1609D-ART; Code 124907, WOS:000391857000025
2015: (vISI) Jiang, G., Liu, L., Zhu, W., Yin, S., Wei, S., A 181 GOPS AKAZE Accelerator Employing Discrete-Time Cellular Neural Networks for Real-Time Feature Extraction. Sensors, 15(9), 22509-22529 (2015), WOS:000362512200077.
2015: (vISI) Wang, H., Cai, Y., Chen, X., Chen, L., Night-Time Vehicle Sensing in Far Infrared Image with Deep Learning. Journal of Sensors, 501, 398724, WOS:000368280500001.
2014: (vISI) Brehar, R., Vancea, C., Nedevschi, S., Pedestrian detection in infrared images using Aggregated Channel Features. IEEE Int. Conference on Intelligent Computer Communication and Processing (ICCP2014), pp. 127-132 (2014, Sept), WOS:000348677300019.
2014: (vISI) Brehar, R., Nedevschi, S., Pedestrian detection in infrared images using HOG, LBP, gradient magnitude and intensity feature channels. IEEE 17th Int. Conference on Intelligent Transportation Systems (ITSC2014), pp. 1669-1674 (2014, Oct), WOS:000357868701108.
2014: (vISI) Skoczylas, M., Detection of positions and recognition of brand logos visible on images captured using mobile devices. In Int. Conference and Exposition on Electrical and Power Engineering (EPE2014), pp. 863-868 (2014, Oct), WOS:000353565300160.
2013: (vISI) Liu, L., Zhang, W., Deng, C., Yin, S., Cai, S., Wei, S., SURFEX: A 57fps 1080P resolution 220mW silicon implementation for simplified speeded-up robust feature with 65nm process, Proc. of the Custom Integrated Circuits Conference, art. no. 6658435,DOI: 10.1109/CICC.2013.6658435,(2013), WOS:000350887800034.
2013: (vISI) Zhang, W.L., Liu, L.B., Yin, S.Y., Zhou, R.Y., Cai, S.S., Wei, S.J., An efficient VLSI architecture of speeded-up robust feature extraction for high resolution and high frame rate video, Journal(Springer, IF/2013: 0.702)-Science China Information Sciences, 56 (7), pp. 1-14, ISSN: 1674-733X, doi 10.1007/s11432-013-4786-9, (2013), WOS:000323202000012.
2011: (vISI) Besbes, B., Ammar, S., Kessentini, Y., Rogozan, A., Bensrhair, A., Evidential combination of SVM road obstacle classifiers in visible and far infrared images, In Intelligent Vehicles Symposium (IV2011), pp. 1074-1079 (2011, June), WOS:000298736200177.
Google Scholar - cited 4 times:
2014: Skoczylas, M., Vision Analysis System For Autonomous Landing of Micro Drone, In Acta Mechanica et Automatica, Journal of Bialystok Technical University, vol.8 no.4, 2014,ISSN: 2300-5319, DOI 10.2478/ama-2014-0036
2012: Schaeferling, M., Hornung, U., Kiefer, G., Object recognition and pose estimation on embedded hardware: SURF-based system designs accelerated by FPGA logic. Int. Journal of Reconfigurable Computing, 2012, 6.
2012: (vISI) Miron, A., Besbes, B., Rogozan, A., Ainouz, S., Bensrhair, A., Intensity self similarity features for pedestrian detection in far-infrared images, In Intelligent Vehicles Symposium (IV2012), pp. 1120-1125. IEEE, 2012, WOS:000309167700184.
2011: Schaeferling, M., Kiefer, G., Object recognition on a chip: a complete SURF-based system on a single FPGA, Int. Conference on Reconfigurable Computing and FPGAs (ReConFig), pp. 49-54 (2011, Nov).
v_2010-AQTR:
Apatean, A., C. Rusu, A. Rogozan, A. Bensrhair, Visible-Infrared fusion in the frame of an obstacle recognition system, IEEE Int. Conference on Automation Quality and Testing Robotics (AQTR2010), 28-30 May 2010, Cluj-Napoca, Romania, pp. 1-6, ISBN: 978-1-4244-6724-2,
ACM Digital Library, Scopus, Google Scholar, IEEE
article source: IEEE Xplore
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2014: (v_ISI) Yun, Y., Changrampadi, M.H., Gu, I.Y.H., Head pose classification by multi-class AdaBoost with fusion of RGB and depth images, 2014 Int. Conf. on Signal Processing and Integrated Networks, SPIN 2014, art. no. 6776943, pp. 174-177, WOS:000349853100035.
2013: (v_ISI) Mou, J., Gao, W., Song, Z., Image fusion based on non-negative matrix factorization and infrared feature extraction, Proc. of the 2013 6th Int. Congress on Image and Signal Processing, CISP 2013, 2, art. no. 6745210, pp. 1046-1050, WOS:000341115000194.
2012: (v_ISI) Yun, Y., Gu, I.Y.H., Multi-view face pose classification by boosting with weak hypothesis fusion using visual and infrared images, ICASSP, IEEE Int. Conference on Acoustics, Speech and Signal Processing-Proc., art. no. 6288287, pp. 1949-1952, WOS:000312381402012.
Google Scholar - cited 4 times:
2017: N. Doulamis, P. Agrafiotis, G. Athanasiou, A. Amditis, Human Object Detection using Very Low Resolution Thermal Cameras for Urban Search and Rescue, Proc. 10th Int. Conf. on PErvasive Technologies Related to Assistive Environments, pp. 311-318 (2017), 10.1145/3056540.3076201
2013: Zhaoa, B., Gaoa, W., Songa, Z., & Wanga, Q., Fusion of Infrared and Visible Image Based on Target Extraction and Contourlet Transform, Journal of Information & Computational Science 10:15 (2013) 4751–4761 October 10, 2013
2013: Yun, Y., & Gu, I. Y., Image Classification by Multi-Class Boosting of Visual and Infrared Fusion with Applications to Object Pose Recognition. Swedish Symposium on Image Analysis (SSBA2013), March 14-15, Guteborg, Sweden.
2012: (v_ISI) Changrampadi, M. H., Yun, Y., & Gu, I. Y., Multi-class ada-boost classification of object poses through visual and infrared image information fusion, 21st Int. Conf. on Pattern Recognition (ICPR), 2012 (pp. 2865-2868). IEEE, WOS:000343660602233
2012: (v_ISI) Zhenfeng, S., Jun, L., & Qimin, C., Fusion of infrared and visible images based on focus measure operators in the curvelet domain. Journal (IF/2013: 1.649) of Applied optics, 51(12), http://dx.doi.org/10.1364/AO.51.001910, pp. 1910-1921, ISSN: 1559-128X, WOS:000303262200011.
v_2009-IV:
Apatean,A., Rogozan,A., Bensrhair,A., Obstacle recognition using multiple kernel in visible and infrared images, IEEE Intelligent Vehicle Symposium (IV2009), June 3-5, 2009, Xi'an, China, pp. 370-375, ISBN: 978-1-4244-3503-6
ISI Web of Knowledge (WOS:000270718200064), Scopus, Google Scholar, IEEE
article source: IEEE Xplore
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2010: (v_ISI) Chen, L., Lu, M., Chen, C.L.P., Multiple kernel fuzzy c-means based image segmentation, (2010) Conference Proc.-IEEE Int. Conference on Systems, Man and Cybernetics, art. no. 5641782, pp. 4123-4129, WOS:000295015304058.
v_2009-EUSIPCO-Apa:
Apatean, A. , Rogozan, A., Bensrhair, A., SVM-based Obstacle Classification in Visible and Infrared Images, Proceedings of the 17th European Signal Processing Conference (EUSIPCO2009), August 24-28, 2009, Glasgow, Scotland
Scopus, Google Scholar
article source: Eurasip
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2011: (v_ISI) Besbes, B., Ammar, S., Kessentini, Y., Rogozan, A., Bensrhair, A. (2011, June). Evidential combination of SVM road obstacle classifiers in visible and far infrared images, In Intelligent Vehicles Symposium (IV), pp. 1074-1079, 2011, WOS:000298736200177.
2010: (v_ISI) Besbes, B., Rogozan, A., Bensrhair, A. (2010, June). Pedestrian recognition based on hierarchical codebook of SURF features in visible and infrared images, In Intelligent Vehicles Symposium (IV), pp. 156-161, 2010, WOS:000320772200025.
2010: Besbes, B., Labb, B., Rogozan, A., Bensrhair, A. (2010, August). Svm-based fast pedestrian recognition using a hierarchical codebook of local features, IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), pp. 226-231, 2010.
v_2009-EUSIPCO-Eme:
Emerich S., Lupu E., Apatean A.,, Emotions Recognition by Speech and Facial Expressions Analysis, 17th European Signal Processing, (EUSIPCO2009), Glasgow, 24-28 August 2009, pp.1617-1621, 11 times cited
Scopus, Google Scholar
article source: Eurasip
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2017: (ISI) Poria, S., Cambria, E. , Bajpai, R., Hussain, A., A review of affective computing: From unimodal analysis to multimodal fusion (Article), Information Fusion, Vol. 37, 1 Sept. 2017, Pp. 98-125
2016: (v_ISI) Kudiri, K.M., Said, A.M., Nayan, M.Y., Human emotion detection through speech and facial expressions , 3rd International Conference on Computer and Information Sciences, ICCOINS 2016; Kuala Lumpur Convention CentreKuala Lumpur; Malaysia; Pp..351-356, , WOS:000391215800062
2016: (v_ISI) Sinith, M.S., Aswathi, E., Deepa, T.M., Shameema, C.P., Rajan, S., Emotion recognition from audio signals using Support Vector Machine, 2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015, 9 June 2016, Article number 7488403, Pages 139-144, WOS:000383223100022
2015: (v_ISI) D'Mello, S.K., Kory, J., A Review and Meta-Analysis of Multimodal Affect Detection Systems, Journal ACM Computing Surveys (CSUR) Surveys Homepage archive, Vol. 47 Issue 3, April 2015, Article No. 43, http://dl.acm.org/citation.cfm?id=2682899, WOS:000354046600006.
2015: A. Cruz, D. Garcia , G. Pires, U. Nunes, Facial Expression Recognition based on EOG toward Emotion Detection for Human-robot interaction, Proc. of the Int. Conference on Bio-inspired Systems and Signal Processing, 31-37, 2015, Lisbon, Portugal, Jan.2015
2013: (v_ISI) Caballero-Morales, S.-O., Recognition of emotions in Mexican Spanish speech: An approach based on acoustic modelling of emotion-specific vowels, The Scientific World Journal (IF 2013/14:1.219), 2013, art. no. 162093, ISSN 1537-744X, DOI: 10.1155/2013/162093, WOS:000322247900001.
2012: (v_ISI) D'Mello, S., Kory, J., Consistent but modest: A meta-analysis on unimodal and multimodal affect detection accuracies from 30 studies, (2012) ICMI'12 - Proc. of the ACM Int. Conference on Multimodal Interaction, pp. 31-38, WOS:000321926300007.
2012: Pathak, B.V., Panat, A.R., Comparison between different feature extraction techniques to identify the emotion 'anger' in speech, (2012) Lecture Notes -Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 85 (PART 2), pp. 637-643.
2011: (v_ISI) Sato, Y., Miki, T., Honda, K., A multi-core processor based real-time multimodal emotion extraction system employing fuzzy inference, (2011) Int.Journal IF 2.93 of Innovative Computing, Information and Control, 7 (8), pp. 4603-4620, ISSN: 1349-4198, WOS:000293817400002.
Google Scholar: - cited 6 times:
2017: Idananta, K., Oktriono, K., Determining the voiceprint recognition on the basis of emotional speech signal: Indonesia language, 3rd Int.Conf.on Information Management (ICIM), 2017 (pp. 388-392), IEEE.
2017: Domaneschi, F., Passarelli, M. & Chiorri, Facial expressions and speech acts: experimental evidences on the role of the upper face as an illocutionary force indicating device in language comprehension, Journal of Cognitive Process, Springer (2017). doi:10.1007/s10339-017-0809-6
2017: D. Nguyen, K. Nguyen, S. Sridharan, A. Ghasemi, D. Dean and C. Fookes, "Deep spatio-temporal features for multimodal emotion recognition", (2017), In IEEE Winter Conference on Applications of Computer Vision, 25-30 March, 2017, Santa Rosa, CA, http://eprints.qut.edu.au/105854/1/292.pdf
2017: Gulhane, Y.H., and S. A. Ladhake. "A Short Survey on Methodology for Stress Recognition, (2016), Int. Journal of Emerging Research in Management &Technology, ISSN: 2278-9359 (Volume-5, Issue-11), https://www.ermt.net/docs/papers/Volume_5/11_November2016/V5N11-113.pdf
2017: A.A. Chaudhari, M.A. Pund, G.R. Bamnote, S. V. Pattalwar, Need of Boosted GMM in Speech Emotion Recognition System Implemented Using Gaussian Mixture Model, Journal of Image Processing and Artificial Intelligence Vol.3 Issue 1, 2017, http://matjournals.in/index.php/JOIPAI/article/viewFile/1307/816
2016: Butt, A.H., M.K. Mahmood, and Y. D. Khan. "ANEXPOSITIONANALYSIS OF FACIAL EXPRESSION RECOGNITION TECHNIQUES." Pakistan Journal of Science 68.3 (2016).
2016: Lalitha, S., and Shikha Tripathi. "Emotion detection using perceptual based speech features." India Conference (INDICON), 2016 IEEE Annual. IEEE, 2016.
2016: Rupasinghe, ATIGALLAGE THARUKA, et al. "Scaling personality traits of interviewees in an online job interview by vocal spectrum and facial cue analysis." Advances in ICT for Emerging Regions (ICTer), 2016 Sixteenth International Conference on. IEEE, 2016.
2015: R.P. Gadhe, Shaikh Nilofer R.A., V.B. Waghmare, P. P. Shrishrimal, R. R. Deshmukh, Emotion Recognition from Speech: A Survey, Int. Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015, pp.632, ISSN 2229-5518, http://www.ijser.org/researchpaper%5CEmotion-Recognition-from-Speech-A-Survey.pdf
2015: Ankush Chaudhary, Ashish Kumar Sharma, Jyoti Dalal, Leena Choukiker, Speech Emotion Recognition, April 2015, Volume 2, Issue 4, IF(2014):1.92, JETIR (ISSN-2349-5162), http://www.jetir.org/papers/JETIR1504060.pdf
2015: MSA. Tayade, MM Nirmal, MM Ingle, Detection of emotion from SPEECH USING DIFFERENT Feature Extraction Technique, IORD Journal of Science & Technology E-ISSN: 2348-0831 Vol. 2, Issue 3 (MAR-APR 2015) PP 84-88, IF(2014): 1.719, www.iord.in
2013: Utane, A. S., and Nalbalwar, S. L., Article: EMOTION RECOGNITION through SPEECH, In IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013), pp. 5-8. 2013.
2012: Ingale, Ashish B., and D. S. Chaudhari. Speech emotion recognition, International Journal IF2012: 0.512 of Soft Computing and Engineering (IJSCE) ISSN (2012): 2231-2307.
v_2009-ISSCS-Apa:
Apatean,A. , Rogozan,A., Bensrhair,A., Information Fusion for Obstacle Recognition in Visible and Infrared Images, IEEE Int. Symposium on Signal, Circuits and Systems (ISSCS2009), July, 9-10, Iasi, Romania, pag. 1-4, ISBN: 978-1-4244-3785-6,
ISI Web of Knowledge (WOS:000275854200059), IEEE, Scopus, GoogleScholar
article source: IEEE Xplore
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2015: (book LNCS) RR Boukhriss, E Fendri, M Hammami - Intelligent Fusion of Infrared and Visible Spectrum for Video Surveillance Application, Artificial Intelligence and Soft Computing. Springer International Publishing, Lecture Notes in Computer Science Volume 9119, 2015, pp 768-777, 2015, bookChapter, Springer.
Google Scholar
2013: GU Ying-jie, JIN Zhong, Terrain Classification Based on Visible Light and Infrared Data Fusion, Computer Engineering, 39(2)., 2013.
- cited in 1 book:
2012: (book CRC) Brooks, R. R., Lamb, J., Grewe, L., Deng, J., Hayward, C. A., ch20: Data registration, in book Distributed Sensor Networks: Image and Sensor Signal Processing, 2nd edition, by Chapman and Hall/book-CRC Press, 2012. pp.455, ISBN: 9781439862827.
v_2009-ISSCS-Eme:
Emerich S., Lupu E, Apatean A., Bimodal Approach in Emotion Recognition using Speech and Facial Expressions, 9thIEEE Int. Symposium on Signals, Circuits and Systems, (ISSCS2009), Iasi, Romania, 9-10 July 2009, Vol.2, pp.297-300
ISI Web of Knowledge (WOS:000275854200073), IEEE, Scopus, GoogleScholar
article source: IEEE Xplore
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2014: Shelke, A., Joshi, S., Design of Human Emotion Recognition System from Speech using Particle Swarm Optimization, International Journal of Computing and Technology, Vol. 1, Issue 2, March 2014 ISSN : 2348 - 6090
2014: Ye, Liang, Hany Ferdinando, Esko Alasaarela, Techniques in Pattern Recognition for School Bullying Prevention: Review and Outlook, Journal IF:0.595 of Pattern Recognition Research 1 (2014): pp.50-63, ISSN 1558-884X, doi:10.13176/11.586.
Google Scholar - cited 2 times:
2017:Patwardhan, A., Three-Dimensional, Kinematic, Human Behavioral Pattern-Based Features for Multimodal Emotion Recognition. Multimodal Technologies and Interaction, 1(3), 19.
2013: Patwardhan, Amol S; Knapp, Gerald M., Multimodal Affect Analysis for Product Feedback Assessment, Proc. of the 2013 Industrial and Systems Engineering Research Conference (2013): 178-186.
IEEEXplore: - cited 2 times:
2015: Z. Guendil, Z. Lachiri; C. Maaoui; A. Pruski, Emotion recognition from physiological signals using fusion of wavelet based features, 7th International Conference on Modelling, Identification and Control (ICMIC), pp.1-6, doi:10.1109/ICMIC.2015.7409485.
2013: (v_ISI) Roy, D., Shukla, A.,Speaker recognition using multimodal biometric system, Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013 Int. Conference, 25-27 Nov. 2013, Page(s): 1 - 7, 10.1109/ICSDA.2013.6709905, IEEEExplore, WOS:000349833100062.
v_2008-BIOSIGNAL:
Emerich S., Lupu E., Apatean A., The Estimation of Glottal Closure Instants in Voiced Speech using Fractional B-spline Wavelets, 19th International EURASIP Conference BIOSIGNAL2008, Brno, June 29-July 1, pp. 537-540, ISBN: 978-80-214-3613-8
ISI Web of Knowledge (WOS:000303717200111)
article source: ResearchGate
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2008: S. Emerich, The Improvement of the Wavelet Analysis Techniques by Using B-SPLINE Functions Family, Acta 2008, vol.49, nr 4/2008, ProQuest
v_2008-ITSC:
Apatean (Discant), A., Rogozan, A., Bensrhair, A., Kernel and Feature Selection for Visible and Infrared based Obstacle Recognition, 11th Int. IEEE Conf. on Intelligent Transportation Systems, ITSC2008, pp. 1130-1135, 12-15 Oct. 2008, Beijing, China, ISBN: 978-1-4244-2111-4
ISI Web of Knowledge (WOS:000262929300189), IEEE, Scopus, Google Scholar
article source: IEEE Xplore
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2010: (v_ISI) Dong, Y Dong, Ying; Xiang, BR Xiang, Bingren; Geng, Y Geng, Ying; Yuan, WB Yuan, Wenbo, Rough set based wavelength selection in near-infrared spectral analysis, Chemometrics and Intelligent Laboratory Systems Vol.: 126 pp. 21-29, WOS:000321680700004.
v_2008-AQTR:
Apatean Discant, A., Rogozan, A., Bensrhair, A., Objects recognition in visible and infrared images from the road scene, IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR2008, Volume: 3, pp. 327-332, 22-25 May 2008, Cluj-Napoca, Romania, ISBN: 978-1-4244-2576-1, DOI: 10.1109/AQTR.2008.4588938
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article source: IEEE Xplore
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2015: (v_ISI) B Besbes, A Rogozan, AM Rus, A Bensrhair, A Broggi,Pedestrian detection in far-infrared daytime images using a hierarchical codebook of SURF, Sensors 15(4), 8570-8594; Journal IF:2.8, doi:10.3390/s150408570- mdpi.com, WOS:000354236100079.
2012: (v_ISI) Miron, A., Besbes, B., Rogozan, A., Ainouz, S., Bensrhair, A., Intensity self similarity features for pedestrian detection in Far-Infrared images 2012 IEEE Intelligent Vehicles Symposium, Proceedings, art. no. 6232227, pp. 1120-1125, WOS:000309167700184.
2010: Mustafa, M., Taib, M.N., Murat, Z.H., Abdul Hamid, N.H., GLCM texture classification for EEG spectrogram image, Proc. of 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010, art. no. 5742264, pp. 373-376.
Google Scholar - cited 2 times:
2014: T Santhana, S Gomathi, Representing a image using a Haar-Wavelet Transformation for human parts detection, Int. Conf. on Information Communication and Embedded Systems (ICICES), 27-28 Feb. 2014, pp.1-7, 10.1109/ICICES.2014.7034032, IEEEXplore
2009: (book) Flusser, J., Zitova, B., Suk, T, Moments and moment invariants in pattern recognition, John Wiley & Sons, ISBN: 978-0-470-69987-4, 312 pages, book.
v_2008-ISCCSP:
Apatean A., Emerich S., Lupu E., Rogozan A., Bensrhair A., Wavelets and Moments for Obstacle Classification, International Symposium on Communications, Control and Signal Processing, ISCCSP2008, Malta12-14Martie, pg 882-887, ISBN 978-1-4244-1687-5, DOI: 10.1109/ISCCSP.2008.4537348.
ISI Web of Knowledge: (WOS:000257934100168), IEEE, Scopus, Google Scholar
article source: IEEE Xplore
2007-ISSE:
Discant, A., Rogozan, A., Rusu, C., Bensrhair, A., Sensors for Obstacle Detection - A Survey, Proceedings of the 30th International Spring Seminar on Electronics Technology ISSE2007, May 9-13, 2007, Cluj-Napoca, Romania, 978-1-4244-1217-4, DOI: 10.1109/ISSE.2007.4432828, 2007
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article source: IEEE Xplore
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2016: (ISI) M. Allodi, A. Broggi, D. Giaquinto, M. Patander and A. Prioletti, "Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle," 2016 IEEE Intelligent Vehicles Symposium (IV), Gothenburg, 2016, pp. 648-653. doi: 10.1109/IVS.2016.7535456, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535456&isnumber=7535353
2015: Cardarelli, E., Sabattini, L., Secchi, C., Fantuzzi, C., Cloud robotics paradigm for enhanced navigation of autonomous vehicles in real world industrial applications, IEEE International Conference on Intelligent Robots and Systems, 2015-December, art. no. 7354019, pp. 4518-4523. DOI: 10.1109/IROS.2015.7354019
2015: Yuan, X., Tang, X., Xue, S., Zhao, C. Obstacle detection based on image and laser points fusion for a small ground robot, 2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics, art. no. 7279318, pp. 386-391. DOI: 10.1109/ICInfA.2015.7279318
2015: (v_ISI) Ilarri, S., Hermoso, R., Trillo-Lado, R., A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems, International Journal of Distributed Sensor Networks, 2015, art. no. 489264, DOI: 10.1155/2015/489264, WOS:000365545400001.
2015: (v_ISI) Gaspar,T., Oliveira,P., New Depth From Focus Filters in Active Monocular Vision Systems for Indoor 3-D Tracking, IEEE Transactions on Control Systems Technology (Volume:PP, Issue: 99 ), pp. 1, ISSN:1063-6536, DOI: 10.1109/TCST.2015.2388956, 10 February 2015, WOS:000359541200012.
2015: (v_ISI) Nissimov,S., Goldberger,J., Alchanatis, V., Obstacle detection in a greenhouse environment using the Kinect sensor, Computers and Electronics in Agriculture, IF(2014):1.76, Vol. 113, April 2015, Pages 104-115, 2015 - Elsevier, WOS:000353736200010.
2014: (v_ISI) Bernini, N., Bertozzi, M., Castangia, L., Patander, M., Sabbatelli, M., Real-time obstacle detection using stereo vision for autonomous ground vehicles: A survey. In Intelligent Transportation Systems ITSC, 2014 IEEE 17th Int. Conference on pp. 873-878. IEEE, WOS:000357868700157.
2013: (v_ISI) Das, S., Banerjee, I., Samanta, T., Sensor localization and obstacle boundary detection algorithm in WSN, Proc. 3rd International Conference on Advances in Computing and Communications, ICACC2013, art. no. 6686420, pp. 412-415, WOS:000330584700097.
2013: (v_ISI) Jung, J.S., Jung, C.H., Kim, J., Kwag, Y.K., Road watch radar system development, 2013 Asia-Pacific Microwave Conference Proc., APMC, art. no. 6695001, pp. 993-996, WOS:000330851900323.
2013: (v_ISI) Jung, J.S., Yang, H.J., Seo, Y.H., Kwag, Y.K., Road watch radar development for obstacle detection and warning, 2013 Conference Proc. of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR2013, art. no. 6705030, pp. 137-140, WOS:000335733900041.
2013: (v_ISI) Kopiin, M., Elmenreich, W., State-of-the-art versus time-triggered object tracking in advanced driver assistance systems, 2013 International Journal IF2013:0.497 of Advanced Robotic Systems, vol.10, ISSN 1729-8806, WOS:000317588500002.
2012: (v_ISI) Chanak, P., Samanta, T., Rahaman, H., Banerjee, I., Obstacle discovery and localization scheme for wireless sensor network, 2012 Proceedings of the 2012 Int. Conference on Communications, Devices and Intelligent Systems, CODIS 2012, art. no. 6422187, pp. 258-261, WOS:000316990800067.
2012: Iyidir, I.K., Tek, F.B., Kircali, D., Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor 2012 Lecture Notes InComputer Vision-ECCV 2012. Workshops and Demonstrations pp. 526-535. Springer Berlin Heidelberg
2011: Gaspar, T., Oliveira, P., New dynamic estimation of depth from focus in active vision systems, in Proc. Int. Conf. Comput. Vis. Theory Appl., 2011, pp. 484-491.
2011:(v_ISI) Tang, I., Breckon, T.P., Automatic road environment classification, 2011 IEEE Transactions on Intelligent Transportation Systems (journal IF:2.472), 12 (2), art. no. 5671488, pp. 476-484, WOS:000291315100017.
2011: Oner, A., Oke, G., Sensor fusion with occupancy grid map for obstacle segmentation in intelligent vehicles, 2011 5th Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, DSP 2011.
2010: Li, S., Peng, Y., Liu, Y., Autonomous obstacle detection and avoidance for planetary landing, 2010 Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica(journal IF:0), 31 (8), pp. 1584-1592, ISSN: 10006893.
2009: Yang, S., Lho, H.-S., Song, B., Sensor fusion for obstacle detection and its application to an unmanned ground vehicle, 2009 ICCAS-SICE 2009 - ICROS-SICE Int. Joint Conference 2009, Proceedings, art. no. 5335263, pp. 1365-1369.
2009: Kodagoda, S., Dong, G., Yan, C.H., Ong, S.H., Off-road obstacle detection with robust parametric modeling of the ground stereo geometry, Proc. of the IASTED Int. Conference on Robotics and Applications, pp. 343-350.
2009: Kodagoda, S., Dong, G., Hwang, Y.C., Heng, O.S., Assessment of off-road traversability using linear discriminant analysis in dense disparity space, Proc. of the 2009 Australasian Conference on Robotics and Automation, ACRA 2009.
Google Scholar - cited 15 times:
2017:(ISI?) T. Chandekar, et al., Implementation of Obstacle Detection and Navigation system for Visually Impaired using Smart Shoes, (2017),Int. Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395 -0056, Vol. 04 Issue: 04, https://www.irjet.net/archives/V4/i4/IRJET-V4I4444.pdf
2017:(ISI?) TA Shangari, et al., Inter-humanoid robot interaction with emphasis on detection: a comparison study., The Knowledge Engineering Review 32 (2017).
2017:(ISI?) T. Chandekar, et al., Obstacle Detection and Navigation system for Visually Impaired using Smart Shoes, (2017),Int. Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395 -0056, Vol. 04 Issue: 02, https://www.irjet.net/archives/V4/i2/IRJET-V4I2109.pdf
2016:(ISI?) Y. Zhu,Y. Baomin, and Tong Guo, A Simple Outdoor Environment Obstacle Detection Method Based on Information Fusion of Depth and Infrared., Journal of Robotics 2016 (2016), http://downloads.hindawi.com/journals/jr/2016/2379685.pdf
2016: CC Lin, et al., Vision based object grasping of industrial manipulator, 2016 Int. Conf. on Advanced Robotics and Intelligent Systems (ARIS), IEEE, 2016, IEEEXplore
2016: S. Das, et al., Adaptive Slot Sharing based TDMA Technique for Routing in an Obstructed Wireless Sensor Network, Proc. of the Second Int. Conf. on Information and Communication Technology for Competitive Strategies, ACM, 2016.
2016: A. Asvadi, et al., 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes, Robotics and Autonomous Systems 83 (2016): 299-311, https://www.researchgate.net/profile/Alireza_Asvadi/publication/304247843_3D_Lidar-based_Static_and_Moving_Obstacle_Detection_in_Driving_Environments_an_approach_based_on_voxels_and_multi-region_ground_planes/links/5795ee6e08aeb0ffcd0568fa.pdf
2015: E. Cardarelli, L. Sabattini, C. Secchi, C. Fantuzzi, Cloud Robotics Paradigm for Enhanced Navigation of Autonomous Vehicles in Real World Industrial Applications, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 28 - October 2 2015. Hamburg, Germany.
2014: Janghee Park, Seungki Kim, Kyungsik Shin, Kunsoo Huh , Compensation in Obstacle Position Estimation using Camera Sensor, The Korean Society Of Automotive Engineers, 2014.11, pp.397-398 , http://www.dbpia.co.kr/Article/3544672 ,2014.
2014: Das, S., Banerjee, I., Chatterjee, M., & Samanta, T. (2014, November). Performance analysis of TDMA based data transmission in WSN. 14th Int. Conference on Intelligent Systems Design and Applications (ISDA), 2014 (pp. 107-112). IEEE.
2011: Hamouda, Yousef EM, Chris Phillips, Metadata Based, Optimal Sensor Selection for Multi-Target Tracking in Wireless Sensor Networks, Int. Journal of Research & Reviews in Computer Science 2.1 (2011), pp.189, Vol. 2, No. 1, March 2011,GS
2011: Young Su Kim, Yun Ho Choi,Soo Deog Han, Franklin Bien, Short Range Rear Obstacle Detector for Automobile by using 24GHz AM Radar Sensor, The Korean Society Of Automotive Engineers , http://www.dbpia.co.kr/Article/1474826 , (2011): 12-16.,GS
2011: Wang, J., Huang, P., Chen, C., Gu, W., Chu, J., Stereovision aided navigation of an Autonomous Surface Vehicle. In Advanced Computer Control ICACC, 2011 3rd Int. Conference on pp. 130-133. IEEE.
2010: Mittal, Ajay, and Sanjeev Sofat, Sensors and Displays for Electronic Travel Aids: A Survey, Int. Journal of Image Processing 5, 1-14.,GS
2010: (v_ISI) Zheng, R., Vu, K., Pendharkar, A., Song, G., Obstacle discovery in distributed actuator and sensor networks. ACM Transactions on Sensor Networks TOSN, 73, 22, WOS:000285695800003.
2009: (v_ISI) Zheng, R., & Pendharkar, A., Obstacle discovery in distributed active sensor networks. In INFOCOM 2009, IEEE pp. 909-917. IEEE, WOS:000275366200102.
2007-ISSCS:
Emerich S., Discant A., Lupu E., Demea S., B-spline and Wavelet Based Techniques for Iris Recognition, Proc. of the IEEE Int. Symposium on Signals, Circuits and Systems ISSCS2007, 13-14 July 2007, Iasi, Romania, pp. 405-408, ISBN: 978-1-4244-0968-6
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article source: IEEE Xplore
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2011: Bolos, M., Pop R., Otgon C., Using Spline Functions for the Substantiation of Tax Policies by Local Authorities. Annals of Faculty of Economics, vol.1.1, pp. 336-347, ISSN Print: 1222-569X.
2007-EUROCON:
Discant A., Emerich S., Lupu E., Rogozan A., Bensrhair A., Ruttier Obstacle Classification by use of Fractional B-spline Wavelets and Moments, Proceedings of The IEEE Region 8 EUROCON2007 Conference Computer as a Tool, Warsaw, Poland, September 9-12, pp. 2664-2671, ISBN 978-1-4244-0812-2, 2007.
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article source: IEEE Xplore
1 Award: Best Poster Award for this article
2006-AQTR:
Discant A., Demea, S., An algorithm for extraction of iris information, Proc. of Int. Conf. on Automation, Quality and Testing, Robotics, in vol.2 AQTR Theta 15, AQTR2006, Cluj-Napoca, Romania, 25-28 May 2006, pp. 445-450, ISBN 1-4244-0360-X
ISI Web of Knowledge: (WOS:000241464000081), IEEE, Scopus, Google Scholar
article source: IEEE Xplore
2007-MediTech:
Emerich S., Lupu E., Discant A., Conformational Energy Search using Simulated Annealing, 1st International Conference on Advancements of Medicine and Health Care through Technology, MediTech2007, 27-29th September, 2007, Cluj-Napoca, ROMANIA, 2007
Google Scholar
article source: ResearchGate
2007-MediTech:
Discant, A., Emerich, S., Lupu, E., Demea, S., Healthy and Cardiac People Iris Classification by use of B-spline Wavelet Decomposition, International Conference on Advancements of Medicine and Health Care through Technology, MediTech2007, September 27-29, 2007, Cluj-Napoca,Romania
Google Scholar
article source: ResearchGate
8 Scientific papers (not-indexed ISI/BDI)
Emerich, S., Lupu E., Apatean A., An Approach on Emotion Recognition using Speech Signals, 13-th International Conference on Speech and Computer (SPECOM 2009),St. Petersburg, Rusia, June 25-29, 2009, http://www.specom.nw.ru/specom_e.html
article source: ResearchGate
Emerich S., Discant A., Lupu E., Demea S., Iris Classification Using Fractional and Generalized B-Spline Functions, Proceedings of the 8th edition of the International Workshop on Nonlinear Signal and Image Processing NSIP 2007, September 10-12, Bucharest, Romania
article source: ResearchGate
Discant, A. , Rus, C. , Demea, S., Extraction of relevant coloured information for iris classification, Proceedings in the 6th IEEE International Conference on Communications, Signal Processing Section, COMM2006 Bucharest, Romania, June 08-10, 2006, ISBN 973-718-479-3
article source: ResearchGate
Discant, A. , Demea, S. , Rus, C., Extraction of relevant information for iris classification, Proc. of the 18th Biennial International EURASIP Conf. Biosignal2006, Brno, Czech Republic, 28-30 June 2006, pp. 284-286, ISSN 1211- 412X, ISBN 80-214-3152-0,
article source: ResearchGate
2 citari GoogleSch
2009: (ISI) Lodin, A., and Demea, S., Design of an iris-based medical diagnosis system, Signals, IEEE International Symposium on.Circuits and Systems, ISSCS2009, 2009.
2009: Lodin, Adrian, Marius Vasile Ghiurcau, and Lucian Iozan, Iris-Based Remote Medical Diagnosis System, Carpathian Journal of Electronic and Computer Engineering 2.1 (2009): 26.
Rus, C. , Demea, S. , Discant, A., A Matlab MEX-file based implementation for automatic iris color classification, Proc. of the 18th Biennial Int. EURASIP Conf. Biosignal 2006, Brno, Czech Republic, 28-30 June 2006, pp. 248-250, ISSN 1211- 412X, ISBN 80-214-3152-0
article source: ResearchGate
1 citare GoogleScholar
2009: Lodin, Adrian, Marius Vasile Ghiurcau, and Lucian Iozan, Iris-Based Remote Medical Diagnosis System, Carpathian Journal of Electronic and Computer Engineering 2.1 (2009): 26.
Apatean (Discant), A., Obstacle Recognition in the Ruttier Scene, in Proceedings of the Embedded Systems Design and Applications Summer School, paper presented in the special student presentation session, Baia Mare, Romania, September 17 - 21, 2007, pp. 1-4
Discant, A., Holography - an authentification process (Holografia - un procedeu de autentificare), Proceedings of Biometrics (Verificatori Biometrici) Workshop, Cluj-Napoca, Romania, 26-27 May 2005, pp. 199-206, ISBN 973-656-918-7
Discant, A., Digital image processing, Proceedings of the International Conference The Impact of European Integration on the National Economy, Business Information Systems section, Cluj-Napoca, Romania, October 2005, pp.196-204, ISBN973-651-007-0
Books and Book Chapters
2016-IFDFIA:
Apatean, A., Rogozan,A., Bensrhair,A., Image Features Extraction, Selection and Fusion for Computer Vision , Image Feature Detectors and Descriptors, Foundations and Applications,IFDFIA2016, Volume 630 (2016), pp. 75-107, ISBN: 978-3-319-28854-3, http://www.springer.com/us/book/9783319288529, Springer,
Book Chapter source: Springer
2015-UTPRESS:
Apatean, A., Rogozan,A., Bensrhair,A., Contributions to the information fusion. Application to obstacle recognition in visile and infrared images , Online Book at UTPRESS, 173 pages, 2015, ISBN: 978-606-737-105-5, Editura UTPRESS
book source: UT Press
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2017: (ISI?) Fendri, E., Boukhriss, R.R. & Hammami, "Fusion of thermal infrared and visible spectra for robust moving object detection", Journal of Pattern Analysis Applications (2017). doi:10.1007/s100440170621z
2015: (ISI) R R Boukhriss, E Fendri, M Hammami, Intelligent Fusion of Infrared and Visible Spectrum for Video Surveillance Application, In Artificial Intelligence and Soft Computing (pp. 768-777). Springer International Publishing.
2013: (ISI) S Emerich, E Lupu, C Rusu, A new set of features for a bimodal system based on on-line signature and speech, Digital Signal Processing, 23(3), 928-940.
Technical Reports
2006
Discant, A. � "Methods of image fusion for obstacle detection",
Technical report at LITIS, INSA - Rouen, France, September 2006
Discant, A. � "Detection and classification of road obstacles",
Technical report at LITIS, INSA - Rouen, France, May 2006
