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Institut du management de l'information

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Chapitres de livres
Baset, S., & Stoffel, K. (2018). Procedural extensions for executable ontologies in conventional software development. In Data Science and Knowledge Engineering for Sensing Decision Support. (pp. 870-877). Belfast, North Ireland: World Scientific.
   
Baset, S., & Stoffel, K. (2016). OntoJIT: Parsing Native OWL DL into Executable Ontologies in an Object Oriented Paradigm. In OWL: Experiences and Directions–Reasoner Evaluation. (pp. 1-14). Bologna, Italy: Springer, Cham.
   
Cotofrei, P., & Stoffel, K. (2011). Temporal Rules over Time Structures with Different Granularities - a Stochastic Approach. In New Fundamental Technologies in Data Mining. (pp. 447-466). online: InTech.
   
Stoffel, K. (2009). Web + Data Mining = Web Mining. In Web & Data Mining. (pp. 6-20).
   
Cotofrei, P. (2009). Time Granularity in Temporal Data Mining. In Foundations of Computational Intelligence Volume 6: Data Mining. (Vol. 6, pp. 67-96). Berlin: Springer Verlag.
   
Cotofrei, P., & Stoffel, K. (2008). Business process modelling for academic virtual organizations. In Pervasive Collaborative Networks. (Vol. 283, pp. 213-220). Boston: Springer.
   
Ratzé, C., Müller, J. P., Gillet, F., & Stoffel, K. (2007). Toward a general formalism for modelling and simulating ecological hierarchies in constructive dynamical systems. In Ecological Complexity. (Vol. 4).
   
Cotofrei, P., & Stoffel, K. (2005). First-Order Logic Based Formalism for Temporal Data Mining. In Foundations of Data Mining and Knowledge Discovery. (Vol. 6/2005, pp. 185-210). Berlin: Springer-Verlag.
   
Cotofrei, P., & Stoffel, K. (2003). Higher Order Temporal Rules. In P. Sloot, D. Abramson, A. Bogdanov, J. Dongarra, A. Zomaya, & Y. Gorbachev (Eds.) Computational Science - ICCS 2003, Proceedings. (Vol. 2657, pp. 323-332). Berlin: Springer-Verlag Berlin.
   
Kurz, T., & Stoffel, K. (2002). An advanced stemming algorithm for creating concept signatures of medical terms. In M. Bramer, F. Coenen, & A. Preece (Eds.) Research and Development in Intelligent Systems Xviii. (pp. 273-281). Godalming: Springer-Verlag London Ltd.
   
Stoffel, K., & Raileanu, L. E. (2001). Selecting optimal split-functions for large datasets. In M. Bramer, A. Preece, & F. Coenen (Eds.) Research and Development in Intelligent Systems Xvii. (pp. 62-72). Godalming: Springer-Verlag London Ltd.
   
Taylor, M., Stoffel, K., Hendler, J., & Saltz, J. (1998). Using distributed query result caching to evaluate queries for parallel data mining algorithms. In H. R. Arabnia (Ed.) International Conference on Parallel and Distributed Processing Techniques and Applications, Vols I-Iv, Proceedings. (pp. 1127-1132). Athens: C S R E a Press.
   
Stoffel, K., Hendler, J., & Saltz, J. (1996). PPAI--3: Parallel Processing and Artificial Intelligence. In J. Geller, & C. Suttner (Eds.) PPAI-1995. Elsevier.
   
Hendler, J., Stoffel, K., & Mulvehill, A. (1996). Advanced Planning Technology - High Performance Support for Case Based Planning. In A. Tate (Ed.) MIT/AAAI Press.
   
Stoffel, K., & Law, I. (1994). A neuro fuzzy rule based allocation system. In L. Dekker, W. Smit, & J. Zuidervaart (Eds.) Massively Parallel Processing Applications and Development. (pp. 243-249). Amsterdam: Elsevier Science Publ B V.
   
Stoffel, K., Law, I., & Hirsbrunner, B. (1994). PPAI--2: Parallel Processing and Artificial Intelligence. In H. Kitano (Ed.) Elsevier.
   
Courant, M., Hirsbrunner, B., & Stoffel, K. (1994). Managing Entities for an Autonomous Behavior. In N. M. Thalmann, & D. Thalmann (Eds.) (95 ed., pp. 83). Chichester: John Wiley & Sons Ltd.
   
Articles de périodiques
Rodriguez Triana , M. J., Prieto, L., Holzer, A., & Gillet, D. (2020). Instruction, Student Engagement and Learning Outcomes: A Case Study Using Anonymous Social Media in a Face-to-face Classroom. IEEE Transactions on Learning Technologies, 0, 1-12.
   
Moro, A., & Holzer, A. (2020). A Framework to Predict Consumption Sustainability Levels of Individuals. Sustainability, Volume 12 (4)(Green Technology Innovation for Sustainability), 1-26.
   
Holzer, A., Kocher, B., Bendahan, S., Mazuze, J., Vonèche Cardia, I., & Gillet, D. (2020). Gamifying Knowledge Sharing in Humanitarian Organisations: A Design Science Journey. European Journal of Information Systems, 29(2), 153-171.
   
Moro, A., & Garbinato, B. (2019). What Are You Willing to Sacrifice to Protect Your Privacy When Using a Location-Based Service?. Communications in Computer and Information Science (CCIS), 1061, 108-132.
   
Govaerts, S., Holzer, A., Kocher, B., Vozniuk, A., Garbinato, B., & Gillet, D. (2018). Blending Digital and Face-to-face Interaction using a Co-located Social Media App in the Classroom. IEEE Transactions on Learning Technologies, 11(4), 478-492.
   
Maalouf, E. (2018). ​ Statistical Inference in a Model of Imperfect Maintenance With Arithmetic Reduction of Intensity. IEEE Transactions on Reliability, 67(3), 987-997.
   
Baset, S., & Stoffel, K. (2018). OntoJIT: Exploiting CLR Compiler Support for Performing Entailment Reasoning over Executable Ontologies. International Journal of Knowledge Engineering, 4(1), 10-16.
   
Baset, S., & Stoffel, K. (2018). Object-Oriented Modeling with Ontologies Around: A Survey of Existing Approaches. International Journal of Software Engineering and Knowledge Engineering, 28(11-12), 1775-1794.
   
Rodriguez-Triana, M. J., Prieto, L., Vozniuk, A., Shirvani Boroujeni, M., Schwendimann, B., Holzer, A., & Gillet, D. (2017). Monitoring, Awareness and Reflection in Blended Technology Enhanced Learning: a Systematic Review. International Journal of Technology Enhanced Learning, 9(2-3), 126-150.
   
Schwendimann, B., Rodriguez-Triana, M. J., Vozniuk, A., Prieto, L., Shirvani Boroujeni, M., Holzer, A., Gillet, D., & Dillenbourg, P. (2017). Perceiving learning at a glance: A systematic literature review of learning dashboard research. IEEE Transactions on Learning Technologies, 10(1), 30-41.
   
Holzer, A., Vonèche Cardia, I., Gillet, D., Bendahan, S., Berne, A., Bragazza, L., Danalet, A., Fasoli, A., Feige, J., Isaac, S., Le Duc, I., Preissman, D., & Tormey, R. (2016). Increasing the Perspectives of Engineering Undergraduates on Societal Issues through an Interdisciplinary Program. International Journal of Engineering Education, 32(2), 614-624.
   
Holzer, A., Reber, S., Quarta, J., Mazuze, J., & Gillet, D. (2016). Padoc: Enabling Social Networking in Proximity. Computer Networks, 111, 82-92.
   
Albertetti, F., Grossrieder, L., Ribaux, O., & Stoffel, K. (2015). Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation. Applied Soft Computing, Volume, 1-1.
   
Grossrieder, L., Albertetti, F., Stoffel, K., & Ribaux, O. (2013). Des données aux connaissances, un chemin difficile : réflexion sur la place du data mining en analyse criminelle. Revue Internationale de Criminologie et de Police Technique et Scientifique, 66(1 2013), 99-116.
   
Starica, C., Herzel, S., & Nicolosi, M. (2012). The cost of sustainability in optimal portfolio decisions. The European journal of finance, 18(3-4), 333-349.
   
Dodge, Y., & Melfi, G. (2007). On the stability of LAD-regression model with p explanatory variables. International Journal of Statistical Science (IJSS), 6, 231-238.
   
Faria, S., & Melfi, G. (2006). LAD Regression and Nonparametric Methods for Detecting Outliers and Leverage Points. Student, 5, 265-272.
   
Starica, C. (2005). Nonstationarities in Stock Returns. The Review of Economics and Statistics, 87(3), 503-522.
   
Melfi, G. (2005). On simultaneous binary expansion of n and n^2. Journal of Number Theory, 111, 248-256.
   
Dodge, Y., & Melfi, G. (2005). Random number generators and rare events in the continued fraction of pi. Journal of Statistical Computation and Simulation, 75, 189-197.
   
Starica, C. (2004). NONSTATIONARITIES IN FINANCIAL TIME SERIES, THE LONG-RANGE DEPENDENCE, AND THE IGARCH EFFECTS. The Review of Economics and Statistics, 86(1), 378-390.
   
Melfi, G. (2004). On certain positive integer sequences. Riv. Mat. Univ. Parma, 7, 253-260.
   
Raileanu, L. E., & Stoffel, K. (2004). Theoretical comparison between the Gini Index and Information Gain criteria. Annals of mathematics and artificial intelligence, 41(1), 77-93.
   
Melfi, G. (2002). On twin practical numbers. Le Matematiche, 57, 111-117.
   
Dodge, Y., & Melfi, G. (2002). A more rational ranking system in Olympic games. Data and Statistics, 4, 149-154.
   
Raileanu, L. E., & Stoffel, K. (2002). Theoretical comparison between the Gini index and information Gain criteria. Annals of mathematics and artificial intelligence.
   
Kurz, T., & Stoffel, K. (2002). Going beyond stemming: creating concept signatures of complex medical terms. Knowledge-Based Systems, 15(5-6), 309-313.
   
Melfi, G. (2001). An additive problem about powers of certain integers. Rend. Circ. Mat. Pal. Serie II, 50, 239-246.
   
Hendler, J., & Stoffel, K. (1999). Back-end technology for high-performance knowledge-representation systems. Ieee Intelligent Systems & Their Applications, 14(3), 63-69.
   
Stoffel, K., Saltz, J., Hendler, J., Dick, J., Merz, W., & Miller, R. (1997). Semantic indexing for complex patient grouping. Journal of the American Medical Informatics Association, 891-891.
   
Stoffel, K., Hendler, J., & Saltz, J. (1997). Parka on MIMD-supercomputers. Machine Intelligence and Pattern Recognition, 20, 95-118.
   
Stoffel, K., Law, I., & Hirsbrunner, B. (1994). Fuzzy logic controlled dynamic allocation system. Machine Intelligence and Pattern Recognition, 15, 227-227.
   
Kasas, S., Wisard, M., & Stoffel, K. (1993). Quantification de la musculature lisse intrapénienne avec un algorithme de logique floue. Annales d'Urologie, 27(3), 176-178.
   
Actes de congrès
Farah, J. C., Moro, A., Bergram, K., Purohit, A. K., Gillet, D., & Holzer, A. (2020, 17 September). Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application. Paper presented at 15th European Conference on Technology Enhanced Learning.
   
Allen, J., & Holzer, A. (2020, 25 April). Jingle Jigsaw - Playful Dance Scaffolding Through Motion Detection. Paper presented at CHI Extended Abstracts, Honolulu, HI, USA.
   
Purohit, A. K., Barclay, L., & Holzer, A. (2020, 25 April). Designing for Digital Detox: Making Social Media Less Addictive with Digital Nudges. Paper presented at CHI ’20 Extended Abstracts, Honolulu, HI, USA..
   
De Santo, A., & Holzer, A. (2019, 9 December). Assessing Digital Support for Smoking Cessation. Paper presented at European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS), Dubai, UAE.
   
Moro, A., & Holzer, A. (2019, 17 December). Supporting Green IS through a Framework Predicting Consumption Sustainability Levels of Individuals. Paper presented at International Conference of Information Systems (ICIS), Munich, Germany.
   
Moro, A., Kulkarni, V., Ghiringhelli, P. A., Chapuis, B., Huguenin, K., & Garbinato, B. (2019, 5 November). Breadcrumbs: A Rich Mobility Dataset with Point-of-Interest Annotations (short paper). Paper presented at 27th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Chicago, IL, USA.
   
Purohit, A. K., & Helme-Guizon, A. (2019, 7 July). The Power of Digital Nudge: Moving Towards Public Transportation and Debunking False Beliefs. A Conceptual Framework: Structured Abstract. Paper presented at 22nd Academy of Marketing Science World Marketing Congress, Edinburgh, Scotland, UK.
   
Purohit, A. K., & Holzer, A. (2019, 4 May). Functional Digital Nudges: Identifying Optimal Timing for Effective Behavior Change. Paper presented at Proceedings of the extended abstracts of ACM conference on Human factors in computing systems - CHI EA 19 (2019), Glasgow, Scotland, UK.
   
Ferraud, G., Holzer, A., & Gillet, D. (2019, 4 January). ICT Adoption in Executive Training for Development: Blending Digital and Physical Communication and Awareness Channels. Paper presented at international conference on Information and Communication Technologies and Development (ICTD), Ahmedabad, India.
   
Holzer, A., Tintarev, N., Kocher, B., Bendahan, S., Greenup, S., & Gillet, D. (2018, 21 April). Digitally Scaffolding Debate in the Classroom. Paper presented at CHI EA, Montréal, Canada.
   
Kulkarni, V., Moro, A., Chapuis, B., & Garbinato, B. (2018, 1 August). Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design. Paper presented at International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom), New York, USA.
   
Moro, A., & Garbinato, B. (2018, 16 March). ResPred: A privacy preserving location prediction system ensuring location-based service utility. Paper presented at International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Madeira, Portugal.
   
Baset, S., & Stoffel, K. (2018, 1 July). Object-oriented Software Modeling with Ontologies Around. Paper presented at International Conference on Software Engineering and Knowledge Engineering, San Francisco - USA.
   
De Santo, A., Rosselet, U., & Gaspoz, C. (2018). Evaluation of cross-organizational business processes for data collection initiatives. Paper presented at Americas Conference on Information Systems (AMCIS), New Orleans, USA.
   
De Santo, A., Cotofrei, P., & Stoffel, K. (2018). Personalized view of Swiss Public Health Statistical Data. Paper presented at Health and Social Care Information Systems and Technologies Conference (HCist), Lisbon, PT.
   
Jabbari, S. (2018, 20 December). FCA-Based Ontology Learning From Unstructured Textual Data. Paper presented at Mining Intelligence and Knowledge Exploration (MIKE), Cluj - Napoca, Romania.
   
Jabbari, S. (2018, 3 December). A Methodology for Extracting Knowledge about Controlled Vocabularies from Textual Data using FCA-Based Ontology Engineering. Paper presented at International Workshop on Semantics-Powered Data Analytics (SEPDA), Madrid, Spain.
   
Holzer, A., Gillet, D., & Laperrouza, M. (2018, 4 December). Active Interdisciplinary Learning in a Design Thinking Course: Going to Class for a Reason. Paper presented at International Conference on Teaching, Assessment and Learning for Engineering (TALE), Wollongong, Australia.
   
Holzer, A., Gillet, D., Laperrouza, M., Maître, J. P., Tormey, R., & Vonèche Cardia, I. (2018, 17 September). Fostering 21st Century Skills through Interdisciplinary Learning Experiences. Paper presented at 46th SEFI Conference, Copenhagen, Denmark.
   
Vozniuk, A., Holzer, A., Mazuze, J., & Gillet, D. (2017, 16 November). GraaspBox:EnablingMobileKnowledge Delivery into Underconnected Environments. Paper presented at ICTD, Lahore, Pakistan.
   
Xu, Y., Holzer, A., Maitland, C., & Gillet, D. (2017, 16 November). Community Building with Co-located Social Media: A Field Experiment with Syrian Refugees. Paper presented at ICTD, Lahore, Pakistan.
   
Vonèche Cardia, I., Holzer, A., Xu, Y., Maitland, C., & Gillet, D. (2017, 16 November). Towards a Principled Approach to Humanitarian Information and Communication Technology. Paper presented at ACM ICTD, Lahore, Pakistan.
   
Kulkarni, V., Moro, A., Chapuis, B., & Garbinato, B. (2017, 7 November). Extracting Hotspots without A-priori by Enabling Signal Processing over Geospatial Data. Paper presented at SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Los Angeles, California, USA.
   
Moro, A., & Garbinato, B. (2017, 17 May). A Location Privacy Estimator based on Spatio-temporal Location Uncertainties. Paper presented at International Conference on NETworked sYStems (NETYS), Marrakech, Morocco.
   
Jabbari, S. (2017, 21 October). Ontology extraction from MongoDB using formal concept analysis. Paper presented at International Conference on Knowledge Engineering and Applications (ICKEA), London, United Kingdom.
   
Chapuis, B., Moro, A., Kulkarni, V., & Garbinato, B. (2016, 31 October). Capturing Complex Behaviour for Predicting Distant Future Trajectories. Paper presented at ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS), San Francisco, California, USA.
   
Kulkarni, V., Moro, A., & Garbinato, B. (2016, 31 October). MobiDict – A Mobility Prediction System Leveraging Realtime Location Data Streams. Paper presented at SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.
   
Kulkarni, V., Moro, A., & Garbinato, B. (2016, 3 October). A mobility prediction system leveraging realtime location data streams: poster. Paper presented at Conference on Mobile Computing and Networking (MobiCom), New York City, New York.
   
Moro, A., & Garbinato, B. (2016, 5 September). A System-level Architecture for Fine-grained Privacy Control in Location-based Services. Paper presented at European Dependable Computing Conference (EDCC), Göteborg, Sweden.
   
De Santo, A., Brice, Q., & Gaspoz, C. (2016). Functionalities as superior predictor of applications privacy threats. Paper presented at World Conference on Information Systems and Technologies, Recife, BR.
   
De Santo, A., Vonlanthen, Y., Rosselet, A., Degrigny, C., & Gaspoz, C. (2016). An Ontology to Support Non-Invasive Diagnosis of Heritage Metals. Paper presented at Mediterranean Conference on Information Systems (MCIS), Paphos, CY.
   
Jabbari, S. (2016, 18 July). Parallel Execution of Binary-Based NextClosure Algorithm. Paper presented at The International Workshop on Algorithms for FCA and Data Mining (AFCADM 2016), Moscow, Russia.
   
Jabbari, S. (2016, 18 July). A Hybrid Algorithm for Generating Formal Concepts and Building Concept Lattice Using NextClosure and Nourine Algorithms. Paper presented at The International Workshop on Algorithms for FCA and Data Mining (AFCADM 2016), Moscow, Russia.
   
De Santo, A., & Gaspoz, C. (2015). Influence of Users’ Privacy Risks Literacy on the Intention to Install a Mobile Application. Paper presented at World Conference on Information Systems and Technologies, Ponta Delgada, PT.
   
De Santo, A., & Gaspoz, C. (2015). Influence of risks and privacy literacy on coping responses to privacy threats. Paper presented at conférence de l'Association Information et Management (AIM), Rabat, MAR.
   
Raschip, M., Croitoru, C., & Stoffel, K. (2015, 25 May). Using association rules to guide evolutionary search in solving constraint satisfaction. Paper presented at IEEE Congress on Evolutionary Computation, Sendai, Japan.
   
Raschip, M., Croitoru, C., & Stoffel, K. (2015, 22 March). Guiding evolutionary search with association rules for solving weighted CSPs. Paper presented at Genetic and Evolutionary Computation Conference, Madrid, Spain.
   
Calistru, T., Cotofrei, P., & Stoffel, K. (2015, 24 June). A Parallel Approach for Decision Trees Learning from Big Data Streams. Paper presented at 18th International Conference on Business Information Systems, Poznan, Poland.
   
Calistru, T., Cotofrei, P., & Stoffel, K. (2013, 29 July). A Clustering Topology forWireless Sensor Networks: New Semantics over Network Topology. Paper presented at 2nd International Conference on Data Management Technologies and Applications - DATA 2013, Reykjavik, Iceland.
   
Albertetti, F., Cotofrei, P., Grossrieder, L., Ribaux, O., & Stoffel, K. (2013, 12 August). The CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach. Paper presented at European Intelligence and Security Informatics (EISIC), Uppsala, Sweden.
   
Albertetti, F., Cotofrei, P., Grossrieder, L., Ribaux, O., & Stoffel, K. (2013, 4 June). Crime Linkage: a Fuzzy MCDM Approach. Paper presented at IEEE Intelligence and Security Informatics (ISI) 2013, Seattle.
   
Albertetti, F., & Stoffel, K. (2012, 11 November). From Police Reports to Data Marts: a Step Towards a Crime Analysis Framework. Paper presented at 5th International Workshop on Computational Forensics, Tsukuba, Japan.
   
Han, D. (2012, 1 April). An Interactive Working Tool for Qualitative Text Analysis. Paper presented at 12th French-speaking Conference on Knowledge Extraction and Management.
   
Cotofrei, P., & Stoffel, K. (2011, May). Fuzzy Extended BPMN for Modelling Crime Analysis Processes. Paper presented at First Int. Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2011, Campione d'Italia.
   
Cotofrei, P., Künzi, C., & Stoffel, K. (2009, May). Optimal Scene Interpretation: Semantic Management of 3-D Object from a Point Cloud Scene. Paper presented at International Conference of Computer Graphics and Artificial Intelligence, 3IA'2009, Athènes.
   
Grassi, S., Heck, P., Stadelmann, P., Cotofrei, P., Dinissen, P., Meylan, F., Mignot, J. P., Pfeuti, J. N., Piccini, F., Geiser, P., & Stoffel, K. (2008, July). Watch-dictaphone for Automatic Medical Codification. Paper presented at European Signal Processing Conference (EUSPICO) 2008, Lausanne.
   
Ciorascu, C., Künzi, C., & Stoffel, K. (2008). Overview: Semantic Management of 3d Objects. Paper presented at SAMT 2008 Conference, Coblence.
   
Cotofrei, P., & Stoffel, K. (2007, August). Stochastic Processes and Temporal Data Mining. Paper presented at KDD-2007. 13th ACM SIGKDD International Confrerence on Knowledge Discovery and Data Mining, San Jose, USA.
   
Kurz, T., & Stoffel, K. (2006). Web-Based Tools for Codification with Medical Ontologies in Switzerland. Paper presented at ECAI 2006.
   
Cotofrei, P., & Stoffel, K. (2006, May). Stochastic Processes and Temporal Rules. Paper presented at 2006 IEEE International Conference on Granular Computing, Atlanta, USA.
   
 
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*Format bibliographique : APA5